Server-cpus-june-2021 Benchmarks - OpenBenchmarking.org\n2 x AMD EPYC 7763 64-Core testing with a AMD DAYTONA_X (RYM1001D BIOS) and llvmpipe on Ubuntu 21.04 via the Phoronix Test Suite.\nCompare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2106146-IB-2XEPYC77666\n2 x EPYC 7763\nProcessor: 2 x AMD EPYC 7763 64-Core @ 2.45GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1001D BIOS), Chipset: AMD Starship/Matisse, Memory: 504GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Mellanox MT27710\nOS: Ubuntu 21.04, Kernel: 5.13.0-051300rc4-generic (x86_64) 20210530, Display Server: X Server 1.20.11, OpenGL: 4.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits), Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1080\nserver-cpus-june-2021 OpenBenchmarking.orgPhoronix Test Suite 10.4.02 x AMD EPYC 7763 64-Core @ 2.45GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1001D BIOS)AMD Starship/Matisse504GB7682GB INTEL SSDPF2KX076TZllvmpipeVE2282 x Mellanox MT27710Ubuntu 21.045.13.0-051300rc4-generic (x86_64) 20210530X Server 1.20.114.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits)1.0.2GCC 10.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionServer-cpus-june-2021 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001119 - Python 3.9.5- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected\nserver-cpus-june-2021 npb: BT.Cnpb: CG.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Bnpb: SP.Cminife: Smallcloverleaf: Lagrangian-Eulerian Hydrodynamicsrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomstoybrot: TBBtoybrot: OpenMPtoybrot: C++ Taskstoybrot: C++ Threadsamg: pennant: sedovbigpennant: leblancbignwchem: C240 Buckyballincompact3d: X3D-benchmarking input.i3dincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionopenfoam: Motorbike 30Mopenfoam: Motorbike 60Mqe: AUSURF112lammps: 20k Atomslammps: Rhodopsin Proteinlulesh: xmrig: Monero - 1Mxmrig: Wownero - 1Mjohn-the-ripper: Blowfishjohn-the-ripper: MD5luxcorerender: DLSC - CPUluxcorerender: Danish Mood - CPUluxcorerender: Orange Juice - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Rainbow Colors and Prism - CPUgraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spacedav1d: Summer Nature 4Kdav1d: Chimera 1080p 10-bitttsiod-renderer: Phong Rendering With Soft-Shadow Mappingembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080px265: Bosphorus 4Kmt-dgemm: Sustained Floating-Point Rateoidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096openvkl: vklBenchmarkopenvkl: vklBenchmarkVdbVolumeopenvkl: vklBenchmarkStructuredVolumecoremark: CoreMark Size 666 - Iterations Per Secondcompress-7zip: Compress Speed Teststockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthebizzy: avifenc: 6, Losslessbuild-apache: Time To Compilebuild-ffmpeg: Time To Compilebuild-gdb: Time To Compilebuild-godot: Time To Compilebuild-imagemagick: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-mesa: Time To Compilebuild-nodejs: Time To Compilebuild-php: Time To Compilebuild2: Time To Compilec-ray: Total Time - 4K, 16 Rays Per Pixelpovray: Trace Timeprimesieve: 1e12 Prime Number Generationyafaray: Total Time For Sample Scenerays1bench: Large Sceneonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUbuild-wasmer: Time To Compilehelsing: 14 digitm-queens: Time To Solvetachyon: Total Timewebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5webp2: Quality 100, Lossless Compressionopenssl: RSA 4096-bit Performanceaircrack-ng: cpuminer-opt: Magicpuminer-opt: x25xcpuminer-opt: Deepcoincpuminer-opt: Blake-2 Scpuminer-opt: Garlicoincpuminer-opt: Skeincoincpuminer-opt: Myriad-Groestlcpuminer-opt: LBC, LBRY Creditsliquid-dsp: 64 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 160 - 256 - 57askap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: Hogbom Clean OpenMPgromacs: MPI CPU - water_GMX50_baretensorflow-lite: SqueezeNet2 x EPYC 7763257264.2448175.529537.2310736.77120440.044460.84288799.04102771.23149338.71116234.7626535.116.1223.65851.6186.1887.4890.22456349343273867367919254586675.2365543.3424981837.9297.6698002.7229741911.090042114.9090.14973.0235.08431.32636927.23556612.748176.01832341076333314.338.7821.668.6518.4023065698841468582653592.791143.60527.530110.7006100.655171.538259.528467.613658.939155.4359.085.06862.10155.17337.87596.09460.25459.91352.0724.8238.1396482.532.571.25603230156841098703813236345.093404498561312230895293793395311314229.27820.32014.71945.66651.98711.58618.30698.255177.23216.89973.15035.23054.2495.8317.2602.40850.263554.151.808284.724041.570481.063310.58613526.61023.324610.8488200.8422580.7302053330.401464.793319.371332.190.4884563334.591385.480.70641241.783122.8526.2448.9889121.684227.8076.963388.76028464.5414388.8026099.304336.2811214040770532868011246492387805157333110633333583073333359023333336000.3110480.3144990.147712.45171.515984.04320.62410.14153389.4OpenBenchmarking.org\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C2 x EPYC 776360K120K180K240K300KSE +/- 222.22, N = 4257264.241. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C2 x EPYC 7763140280420560700670.35\nMinAvgMax2 x EPYC 776379.67383.8541.16OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.C2 x EPYC 776310K20K30K40K50KSE +/- 478.32, N = 648175.521. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.C2 x EPYC 77634080120160200187.33\nMinAvgMax2 x EPYC 776381.95257.2474OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C2 x EPYC 77632K4K6K8K10KSE +/- 71.60, N = 159537.231. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C2 x EPYC 7763102030405044.21\nMinAvgMax2 x EPYC 776381.66215.7482.47OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D2 x EPYC 77632K4K6K8K10KSE +/- 22.40, N = 410736.771. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D2 x EPYC 776361218243027.38\nMinAvgMax2 x EPYC 776381.61392.2521.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C2 x EPYC 776330K60K90K120K150KSE +/- 403.59, N = 6120440.041. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C2 x EPYC 776390180270360450421.74\nMinAvgMax2 x EPYC 776381.43285.6515.86OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.D2 x EPYC 776310002000300040005000SE +/- 25.73, N = 54460.841. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.D2 x EPYC 77634812162014.19\nMinAvgMax2 x EPYC 776382.64314.5521.11OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C2 x EPYC 776360K120K180K240K300KSE +/- 807.48, N = 5288799.041. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C2 x EPYC 77632004006008001000842.20\nMinAvgMax2 x EPYC 776382.72342.9525.88OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C2 x EPYC 776320K40K60K80K100KSE +/- 385.78, N = 7102771.231. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C2 x EPYC 7763100200300400500457.92\nMinAvgMax2 x EPYC 776382.32224.4439.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x EPYC 776330K60K90K120K150KSE +/- 1012.24, N = 7149338.711. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x EPYC 7763120240360480600560.65\nMinAvgMax2 x EPYC 776382.47266.4543.65OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.C2 x EPYC 776320K40K60K80K100KSE +/- 481.83, N = 4116234.761. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0\nOpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.C2 x EPYC 776370140210280350306.24\nMinAvgMax2 x EPYC 776381.82379.6503.41OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: Small2 x EPYC 77636K12K18K24K30KSE +/- 245.68, N = 426535.11. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi\nOpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: Small2 x EPYC 77632040608010098.00\nMinAvgMax2 x EPYC 776382.49270.8422.04OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption Monitor110220330440550\nOpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics2 x EPYC 776348121620SE +/- 0.42, N = 1516.121. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp\nMinAvgMax2 x EPYC 776382.21330.6406.59OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeafCPU Power Consumption Monitor110220330440550\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD2 x EPYC 7763612182430SE +/- 0.13, N = 323.661. (CXX) g++ options: -O2 -lOpenCL\nMinAvgMax2 x EPYC 776381.15395.2538.1OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte2 x EPYC 77631224364860SE +/- 0.40, N = 351.621. (CXX) g++ options: -O2 -lOpenCL\nMinAvgMax2 x EPYC 776381.87254.2283.49OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor70140210280350\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver2 x EPYC 7763246810SE +/- 0.018, N = 76.1881. (CXX) g++ options: -O2 -lOpenCL\nMinAvgMax2 x EPYC 776382.13241.5412.82OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor110220330440550\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster2 x EPYC 7763246810SE +/- 0.116, N = 157.4891. (CXX) g++ options: -O2 -lOpenCL\nMinAvgMax2 x EPYC 776381.76219.6335.46OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor80160240320400\nOpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms2 x EPYC 77630.05050.1010.15150.2020.2525SE +/- 0.00164, N = 40.22456\nMinAvgMax2 x EPYC 776382.02438.4560.91OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBB2 x EPYC 77637001400210028003500SE +/- 28.86, N = 934931. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc\nMinAvgMax2 x EPYC 776381.81296.6565.65OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMP2 x EPYC 77639001800270036004500SE +/- 37.08, N = 1543271. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc\nMinAvgMax2 x EPYC 776382.29293.6568.68OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ Tasks2 x EPYC 77638001600240032004000SE +/- 19.33, N = 838671. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc\nMinAvgMax2 x EPYC 776381.49293.2564.06OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ Threads2 x EPYC 77638001600240032004000SE +/- 17.86, N = 936791. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc\nMinAvgMax2 x EPYC 776382.89295.5562.81OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.22 x EPYC 7763400M800M1200M1600M2000MSE +/- 1375840.15, N = 319254586671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi\nOpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.22 x EPYC 77631.1M2.2M3.3M4.4M5.5M5036688.65\nMinAvgMax2 x EPYC 776382.59382.3488.82OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbig2 x EPYC 77631.17822.35643.53464.71285.891SE +/- 0.035443, N = 55.2365541. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi\nMinAvgMax2 x EPYC 776382.47310.2513.57OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbig2 x EPYC 77630.75211.50422.25633.00843.7605SE +/- 0.062888, N = 153.3424981. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi\nMinAvgMax2 x EPYC 776381.96285.2542.54OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 Buckyball2 x EPYC 77634008001200160020001837.91. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2\nOpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 83.05 / Avg: 453.84 / Max: 553.99\nOpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3d2 x EPYC 776360120180240300SE +/- 0.12, N = 3297.671. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz\nMinAvgMax2 x EPYC 776382.35455.7495.33OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction2 x EPYC 77630.61271.22541.83812.45083.0635SE +/- 0.05008949, N = 152.722974191. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz\nMinAvgMax2 x EPYC 776382.44258.4471.45OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction2 x EPYC 77633691215SE +/- 0.02, N = 411.091. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz\nMinAvgMax2 x EPYC 776383.12346.6466.88OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M2 x EPYC 776348121620SE +/- 0.10, N = 314.901. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm\nMinAvgMax2 x EPYC 776381.98316.0525.65OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M2 x EPYC 776320406080100SE +/- 0.25, N = 390.141. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm\nMinAvgMax2 x EPYC 776381.56324.4465.29OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF1122 x EPYC 77632004006008001000SE +/- 6.05, N = 3973.021. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz\nOpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 82.2 / Avg: 321.72 / Max: 538.01\nOpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms2 x EPYC 7763816243240SE +/- 0.03, N = 335.081. (CXX) g++ options: -O3 -pthread -lm\nOpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms2 x EPYC 77630.01620.03240.04860.06480.0810.072\nMinAvgMax2 x EPYC 776382.65485.8505OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein2 x EPYC 7763714212835SE +/- 0.38, N = 1531.331. (CXX) g++ options: -O3 -pthread -lm\nOpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein2 x EPYC 77630.03330.06660.09990.13320.16650.148\nMinAvgMax2 x EPYC 776381.75211.3443.53OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.32 x EPYC 77638K16K24K32K40KSE +/- 316.92, N = 336927.241. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi\nOpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.32 x EPYC 776320406080100103.14\nMinAvgMax2 x EPYC 776382.39358.0529.08OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1M2 x EPYC 776312K24K36K48K60KSE +/- 101.74, N = 356612.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc\nOpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1M2 x EPYC 7763306090120150124.54\nMinAvgMax2 x EPYC 776382.26454.6568.25OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1M2 x EPYC 776310K20K30K40K50KSE +/- 160.51, N = 348176.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc\nOpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1M2 x EPYC 776320406080100108.21\nMinAvgMax2 x EPYC 776381.96445.2540.98OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: Blowfish2 x EPYC 776340K80K120K160K200KSE +/- 2546.43, N = 31832341. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2\nOpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: Blowfish2 x EPYC 776380160240320400379.49\nMinAvgMax2 x EPYC 776381.92482.8554.35OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD52 x EPYC 77632M4M6M8M10MSE +/- 109447.60, N = 3107633331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2\nOpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD52 x EPYC 77635K10K15K20K25K22207.25\nMinAvgMax2 x EPYC 776381.68484.7544.97OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: CPU2 x EPYC 776348121620SE +/- 0.33, N = 1514.33MIN: 11.8 / MAX: 18.81\nOpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: CPU2 x EPYC 77630.00630.01260.01890.02520.03150.028\nMinAvgMax2 x EPYC 776381.63507.1570.38OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: CPU2 x EPYC 7763246810SE +/- 0.13, N = 158.78MIN: 3.1 / MAX: 11.67\nOpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: CPU2 x EPYC 77630.00430.00860.01290.01720.02150.019\nMinAvgMax2 x EPYC 776381.85465.1554.82OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: CPU2 x EPYC 7763510152025SE +/- 0.28, N = 1521.66MIN: 17.86 / MAX: 29.24\nOpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: CPU2 x EPYC 77630.00970.01940.02910.03880.04850.043\nMinAvgMax2 x EPYC 776381.72508.3572.78OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: CPU2 x EPYC 7763246810SE +/- 0.11, N = 158.65MIN: 2.95 / MAX: 11.34\nOpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: CPU2 x EPYC 77630.00430.00860.01290.01720.02150.019\nMinAvgMax2 x EPYC 776381.83447.0542.98OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: CPU2 x EPYC 7763510152025SE +/- 0.90, N = 1518.40MIN: 14.52 / MAX: 25.25\nOpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: CPU2 x EPYC 77630.01490.02980.04470.05960.07450.066\nMinAvgMax2 x EPYC 776382.5278.5414.74OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor110220330440550\nOpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Swirl2 x EPYC 77635001000150020002500SE +/- 14.11, N = 323061. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread\nOpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Swirl2 x EPYC 77632468106.064\nMinAvgMax2 x EPYC 776381.8380.3408.34OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor110220330440550\nOpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Rotate2 x EPYC 7763120240360480600SE +/- 0.88, N = 35691. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread\nOpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Rotate2 x EPYC 77630.73491.46982.20472.93963.67453.266\nMinAvgMax2 x EPYC 776382.12174.2181.18OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Sharpen2 x EPYC 77632004006008001000SE +/- 0.88, N = 38841. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread\nOpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Sharpen2 x EPYC 77630.43560.87121.30681.74242.1781.936\nMinAvgMax2 x EPYC 776382.35456.6493.4OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Enhanced2 x EPYC 776330060090012001500SE +/- 4.26, N = 314681. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread\nOpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Enhanced2 x EPYC 77630.74521.49042.23562.98083.7263.312\nMinAvgMax2 x EPYC 776381.63443.2476.45OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian2 x EPYC 7763130260390520650SE +/- 1.53, N = 35821. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread\nOpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian2 x EPYC 77630.49460.98921.48381.97842.4732.198\nMinAvgMax2 x EPYC 776383.04264.7290.76OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor70140210280350\nOpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space2 x EPYC 7763140280420560700SE +/- 4.51, N = 36531. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread\nOpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space2 x EPYC 77630.65091.30181.95272.60363.25452.893\nMinAvgMax2 x EPYC 776382.43225.7240.12OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor60120180240300\nOpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.0Video Input: Summer Nature 4K2 x EPYC 7763130260390520650SE +/- 6.89, N = 3592.79MIN: 129.05 / MAX: 711.811. (CC) gcc options: -pthread -lm\nOpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.9.0Video Input: Summer Nature 4K2 x EPYC 77630.73641.47282.20922.94563.6823.273\nMinAvgMax2 x EPYC 776382.5181.1455.16OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.0CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.0Video Input: Chimera 1080p 10-bit2 x EPYC 77632004006008001000SE +/- 1.69, N = 31143.60MIN: 481.57 / MAX: 1388.521. (CC) gcc options: -pthread -lm\nOpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.9.0Video Input: Chimera 1080p 10-bit2 x EPYC 77632468107.593\nOpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.0CPU Power Consumption Monitor2 x EPYC 776360120180240300Min: 73.86 / Avg: 150.62 / Max: 346.93\nOpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow Mapping2 x EPYC 7763110220330440550SE +/- 11.48, N = 15527.531. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++\nOpenBenchmarking.orgFPS Per Watt, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow Mapping2 x EPYC 77630.40970.81941.22911.63882.04851.821\nMinAvgMax2 x EPYC 776382.03289.7322.09OpenBenchmarking.orgWatts, Fewer Is BetterTTSIOD 3D Renderer 2.3bCPU Power Consumption Monitor80160240320400\nOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Crown2 x EPYC 776320406080100SE +/- 0.11, N = 6110.70MIN: 99.55 / MAX: 124.02\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Crown2 x EPYC 77630.06820.13640.20460.27280.3410.303\nMinAvgMax2 x EPYC 776382.59365.5571.39OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crown2 x EPYC 776320406080100SE +/- 0.10, N = 6100.66MIN: 92.79 / MAX: 113.68\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crown2 x EPYC 77630.06080.12160.18240.24320.3040.27\nMinAvgMax2 x EPYC 776382.37373.0569.72OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon2 x EPYC 77631632486480SE +/- 0.50, N = 1571.54MIN: 64.78 / MAX: 78.4\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon2 x EPYC 77630.04430.08860.13290.17720.22150.197\nMinAvgMax2 x EPYC 776382.79362.5503.41OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon Obj2 x EPYC 77631326395265SE +/- 0.14, N = 359.53MIN: 56.12 / MAX: 66.22\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon Obj2 x EPYC 77630.04880.09760.14640.19520.2440.217\nMinAvgMax2 x EPYC 776382.5274.1487.27OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon2 x EPYC 77631530456075SE +/- 0.62, N = 1567.61MIN: 60.91 / MAX: 74.47\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon2 x EPYC 77630.04070.08140.12210.16280.20350.181\nMinAvgMax2 x EPYC 776382.61374.3519.73OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon Obj2 x EPYC 77631326395265SE +/- 0.40, N = 1558.94MIN: 53.57 / MAX: 65.84\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon Obj2 x EPYC 77630.04680.09360.14040.18720.2340.208\nMinAvgMax2 x EPYC 776382.69283.5515.19OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast2 x EPYC 77631224364860SE +/- 0.43, N = 555.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast2 x EPYC 77630.04010.08020.12030.16040.20050.178\nMinAvgMax2 x EPYC 776382.72310.8465.65OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast2 x EPYC 77631326395265SE +/- 0.34, N = 559.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast2 x EPYC 77630.0520.1040.1560.2080.260.231\nMinAvgMax2 x EPYC 776382.48255.8341OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor80160240320400\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4K2 x EPYC 77631.14032.28063.42094.56125.7015SE +/- 0.019, N = 35.0681. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4K2 x EPYC 77630.00430.00860.01290.01720.02150.019\nMinAvgMax2 x EPYC 776382.49261.5415.35OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor110220330440550\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4K2 x EPYC 77631428425670SE +/- 0.41, N = 1562.101. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4K2 x EPYC 77630.05540.11080.16620.22160.2770.246\nMinAvgMax2 x EPYC 776382.18252.2438.41OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor110220330440550\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p2 x EPYC 77631224364860SE +/- 0.40, N = 1555.171. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p2 x EPYC 77630.03510.07020.10530.14040.17550.156\nMinAvgMax2 x EPYC 776381.98352.8534.79OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p2 x EPYC 776370140210280350SE +/- 2.19, N = 10337.871. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p2 x EPYC 77630.45560.91121.36681.82242.2782.025\nMinAvgMax2 x EPYC 776381.37166.9377.59OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor100200300400500\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p2 x EPYC 7763130260390520650SE +/- 3.93, N = 11596.091. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p2 x EPYC 77630.96011.92022.88033.84044.80054.267\nMinAvgMax2 x EPYC 776381.75139.7339.73OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor80160240320400\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p2 x EPYC 7763100200300400500SE +/- 5.37, N = 15460.251. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p2 x EPYC 77630.68221.36442.04662.72883.4113.032\nMinAvgMax2 x EPYC 776381.64151.8343.01OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor80160240320400\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p2 x EPYC 7763100200300400500SE +/- 2.47, N = 9459.911. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p2 x EPYC 77630.67521.35042.02562.70083.3763.001\nMinAvgMax2 x EPYC 776381.37153.2345.44OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor100200300400500\nOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p2 x EPYC 776380160240320400SE +/- 0.89, N = 8352.071. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p2 x EPYC 77630.50671.01341.52012.02682.53352.252\nMinAvgMax2 x EPYC 776370.05156.3337.53OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor80160240320400\nOpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K2 x EPYC 7763612182430SE +/- 0.21, N = 1524.821. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma\nOpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4K2 x EPYC 77630.02320.04640.06960.09280.1160.103\nMinAvgMax2 x EPYC 776381.99240.5308.81OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor80160240320400\nOpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point Rate2 x EPYC 7763918273645SE +/- 0.28, N = 1538.141. (CC) gcc options: -O3 -march=native -fopenmp\nOpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point Rate2 x EPYC 77630.02520.05040.07560.10080.1260.112\nMinAvgMax2 x EPYC 776382.51341.4573.12OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x21602 x EPYC 77630.56931.13861.70792.27722.8465SE +/- 0.01, N = 42.53\nOpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x21602 x EPYC 77630.0020.0040.0060.0080.010.009\nMinAvgMax2 x EPYC 776382.3286.8511.86OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x21602 x EPYC 77630.57831.15661.73492.31322.8915SE +/- 0.01, N = 42.57\nOpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x21602 x EPYC 77630.0020.0040.0060.0080.010.009\nMinAvgMax2 x EPYC 776383.36290.9513.06OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x40962 x EPYC 77630.28130.56260.84391.12521.4065SE +/- 0.00, N = 31.25\nOpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x40962 x EPYC 77630.00090.00180.00270.00360.00450.004\nMinAvgMax2 x EPYC 776382.2317.3506.95OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark2 x EPYC 7763130260390520650SE +/- 6.72, N = 4603MIN: 1 / MAX: 1751\nOpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark2 x EPYC 77630.57741.15481.73222.30962.8872.566\nOpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 82.64 / Avg: 234.97 / Max: 572.93\nOpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolume2 x EPYC 77635M10M15M20M25MSE +/- 140542.44, N = 323015684MIN: 826242 / MAX: 134439120\nOpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolume2 x EPYC 776330K60K90K120K150K138628.42\nMinAvgMax2 x EPYC 776383.23166.0291.33OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor70140210280350\nOpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolume2 x EPYC 776320M40M60M80M100MSE +/- 857112.13, N = 3109870381MIN: 940807 / MAX: 1183908672\nOpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolume2 x EPYC 7763140K280K420K560K700K631842.95\nMinAvgMax2 x EPYC 776382.6173.9301.14OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor80160240320400\nOpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second2 x EPYC 7763700K1400K2100K2800K3500KSE +/- 43082.17, N = 33236345.091. (CC) gcc options: -O2 -lrt" -lrt\nOpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second2 x EPYC 77632K4K6K8K10K9537.4\nMinAvgMax2 x EPYC 776382.56339.3461.2OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor120240360480600\nOpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed Test2 x EPYC 7763110K220K330K440K550KSE +/- 3107.07, N = 154985611. (CXX) g++ options: -pipe -lpthread\nOpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 16.02Compress Speed Test2 x EPYC 7763300600900120015001494.89\nOpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 16.02CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 81.45 / Avg: 333.51 / Max: 572.67\nOpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total Time2 x EPYC 776370M140M210M280M350MSE +/- 623832.94, N = 33122308951. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver\nOpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 13Total Time2 x EPYC 7763150K300K450K600K750K690302.48\nMinAvgMax2 x EPYC 776381.88452.3570.79OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth2 x EPYC 776360M120M180M240M300MSE +/- 2669339.16, N = 7293793395\nOpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth2 x EPYC 7763120K240K360K480K600K543167.01\nMinAvgMax2 x EPYC 776382.36540.9570.77OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.32 x EPYC 7763700K1400K2100K2800K3500KSE +/- 33675.96, N = 531131421. (CC) gcc options: -pthread -lpthread -O3 -march=native\nRecords/s Per Watt\nOpenBenchmarking.orgRecords/s Per Watt, More Is Betterebizzy 0.32 x EPYC 7763160032004800640080007371.59\nMinAvgMax2 x EPYC 776382.09422.3493.42OpenBenchmarking.orgWatts, Fewer Is Betterebizzy 0.3CPU Power Consumption Monitor130260390520650\nOpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, Lossless2 x EPYC 7763714212835SE +/- 0.01, N = 329.281. (CXX) g++ options: -O3 -fPIC -lm\nMinAvgMax2 x EPYC 776382.63203.1300.95OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor80160240320400\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile2 x EPYC 7763510152025SE +/- 0.01, N = 320.32\nMinAvgMax2 x EPYC 776382.59158.5200.96OpenBenchmarking.orgWatts, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Power Consumption Monitor50100150200250\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To Compile2 x EPYC 776348121620SE +/- 0.04, N = 414.72\nMinAvgMax2 x EPYC 776381.6230.8572.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.4CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To Compile2 x EPYC 77631020304050SE +/- 0.29, N = 345.67\nMinAvgMax2 x EPYC 776381.93192.7573.14OpenBenchmarking.orgWatts, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile2 x EPYC 77631224364860SE +/- 0.41, N = 351.99\nMinAvgMax2 x EPYC 776381.81246.4561.24OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To Compile2 x EPYC 77633691215SE +/- 0.04, N = 411.59\nMinAvgMax2 x EPYC 776382.5187.9534.08OpenBenchmarking.orgWatts, Fewer Is BetterTimed ImageMagick Compilation 6.9.0CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To Compile2 x EPYC 7763510152025SE +/- 0.14, N = 1218.31\nMinAvgMax2 x EPYC 776382.5262.4574.89OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Ninja2 x EPYC 776320406080100SE +/- 0.49, N = 398.26\nMinAvgMax2 x EPYC 776381.97356.3572.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix Makefiles2 x EPYC 77634080120160200SE +/- 0.57, N = 3177.23\nMinAvgMax2 x EPYC 776383.4295.2571.62OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile2 x EPYC 776348121620SE +/- 0.03, N = 316.90\nMinAvgMax2 x EPYC 776382.16215.5573.44OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile2 x EPYC 77631632486480SE +/- 0.30, N = 373.15\nMinAvgMax2 x EPYC 776381.48346.7572.58OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To Compile2 x EPYC 7763816243240SE +/- 0.13, N = 335.23\nMinAvgMax2 x EPYC 776382.55184.8564.05OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile2 x EPYC 77631224364860SE +/- 0.09, N = 354.25\nMinAvgMax2 x EPYC 776383.57235.8571.78OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.13CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per Pixel2 x EPYC 77631.3122.6243.9365.2486.56SE +/- 0.037, N = 75.8311. (CC) gcc options: -lm -lpthread -O3\nMinAvgMax2 x EPYC 776381.49340.8559.75OpenBenchmarking.orgWatts, Fewer Is BetterC-Ray 1.1CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace Time2 x EPYC 7763246810SE +/- 0.038, N = 57.2601. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system\nMinAvgMax2 x EPYC 776382.01259.5546.57OpenBenchmarking.orgWatts, Fewer Is BetterPOV-Ray 3.7.0.7CPU Power Consumption Monitor140280420560700\nOpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 7.41e12 Prime Number Generation2 x EPYC 77630.54181.08361.62542.16722.709SE +/- 0.005, N = 102.4081. (CXX) g++ options: -O3 -lpthread\nMinAvgMax2 x EPYC 776381.28240.7553.89OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 7.4CPU Power Consumption Monitor140280


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Maxim (tydskrift) - Wikipedy\nMaxim is in ynternasjonaal tydskrift foar manlju, dat benammen bekendstiet om syn sensuële (mar net neaken) fotoreportaazjes fan bekende froulju, lykas aktrises, sjongsters en modellen. Ek trêdet it blêd op 'e foargrûn troch sûnt 2000 elts jier in list fan 'e hûndert meast seksy froulju fan 'e wrâld gear te stallen. Maxim is in moanneblêd dat tolve kear jiers ferskynd, al wiene der fan 2010 oant 2012 mar tsien edysjes jiers. Yn 2013 hie de Ingelsktalige edysje in oplaach fan 2 miljoen eksimplaren (in tebekgong fanôf 2,5 miljoen op it hichtepunt).\ntaal Ingelsk (oarspronklike edysje)\nbestean 1995 – no\nútjouwer Alpha Media Group\noplaach 2 miljoen (2013)\n2 Lannen dêr't Maxim útjûn wurdt of waard\n3 Bekende froulju dy't posearre hawwe foar Maxim\n4 1e plak yn 'e Maxim Top 100 Meast Seksy Froulju fan 'e Wrâld\nMaxim waard oarspronklik yn 1995 yn in Britske edysje oprjochte en útjûn troch Dennis Publishing út Londen. Fanôf 1998 ferskynde der ek in Amerikaanske Ingelsktalige edysje by de Alpha Media Group út New York. Dêrnjonken waard it blêd yn ferskate oare lannen yn oare talen útbrocht, wêrûnder fanôf 1999 yn it Nederlânsk yn sawol Nederlân as Flaanderen.\nDe Nederlânsktalige Maxim waard yn 't earstoan troch Maxi Magazines publisearre, en wie doe tige súksesfol. Letter waard de útjefte oernommen troch Sanoma, dat syn doelstellings oangeande dizze oankeap net reälisearje koe. Sadwaande waard de Nederlânsktalige Maxim yn 2006 opdoekt. De Britske edysje waard foar it lêst útbrocht yn 2009. De Amerikaanske edysje docht it lykwols noch frij goed, en sette yn 2005 útein mei in eigen radiostjoerder, Maxim Radio. Fierders wiene der ek plannen om in eigen kasino yn Las Vegas te bouwen, mar dat rûn op 'e non nei ferset troch de besteande kasino's.\nLannen dêr't Maxim útjûn wurdt of waardBewurkje\nArgentynje (yn it Spaansk)\nBelgje (yn it Nederlânsk en Frânsk)\nde Feriene Steaten (yn it Ingelsk)\nYndia (yn it Ingelsk)\nKanada (yn it Ingelsk)\nMeksiko (yn it Spaansk)\nSingapoer (yn it Ingelsk)\nBekende froulju dy't posearre hawwe foar MaximBewurkje\nCarmen Electra: septimber 1997, desimber 2002, july 2005\nRebecca Romijn: juny 1998, july 2000, novimber 2002\nChristina Applegate: septimber 1998, desimber 2002\nJennifer Love Hewitt: novimber 1999, maart 2005, maaie 2009, april 2012\nShannon Elizabeth: jannewaris 2000, desimber 2003, juny 2008\nKim Smith: febrewaris 2000, novimber 2000, july 2004\nJessica Alba: oktober 2000, novimber 2003\nTara Reid: desimber 2000, maart 2002\nLaura Prepon: jannewaris 2001, novimber 2004\nEliza Dushku: maaie 2001, maart 2009\nShawnee Smith: juny 2001\nBrittany Murphy: july 2001, maaie 2005\nHelena Bonham Carter: septimber 2001\nJamie-Lynn Sigler: septimber 2001, maaie 2006\nJessica Simpson: jannewaris 2002, juny 2004, july 2006\nPaula Garcés: maart 2002\nLucy Liu: septimber 2002, july 2003\nChristina Aguilera: desimber 2002, jannewaris 2003, maart 2007\nShania Twain: juny 2003\nAnna Koernikova: augustus 2003, augustus 2004\nMilla Jovovich: septimber 2004, septimber 2009\nEva Longoria: jannewaris 2005, septimber 2006\nVanessa Minnillo: oktober 2005, oktober 2006\nSophia Bush: novimber 2006\nLacey Chabert: jannewaris 2007\nMary Elizabeth Winstead: maart 2007\nRose McGowan: april 2007\nRoselyn Sanchez: maaie 2007\nNoureen DeWulf: juny 2007\nMegan Fox: july 2007\nHilary Duff: augustus 2007\nSarah Michelle Gellar: desimber 2007\nAvril Lavigne: maart 2008\nKourtney Kardashian: april 2009\nKaley Cuoco: maart 2010\nAmanda Bynes: febrewaris 2010\nCobie Smulders: desimber 2010\nBritney Spears: jannewaris 2010, jannewaris 2011\n1e plak yn 'e Maxim Top 100 Meast Seksy Froulju fan 'e WrâldBewurkje\n(in) Offisjele webside fan Maxim\nOfbylden dy't by dit ûnderwerp hearre, binne te finen yn de kategory Maxim (magazine) fan Wikimedia Commons.\nOpfrege fan "https://fy.wikipedia.org/w/index.php?title=Maxim_(tydskrift)&oldid=975298"\nLêst bewurke op 23 sep 2019 om 21.17\nDizze side is it lêst bewurke op 23 sep 2019 om 21.17.


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Interglot - "stuff" traducido de inglés a neerlandés\nInicio ->Diccionarios ->inglés/neerlandés ->Traducir stuff\nTraducir stuff de inglés a neerlandés\nTraducciones detalladas de stuff de inglés a neerlandés\nstuff [the ~] sustantivo\nmaterie [de ~ (v)] sustantivo\nstof [de ~] sustantivo\ndingen [de ~] sustantivo, plural\nspullen [de ~] sustantivo, plural\nzaakjes [de ~] sustantivo, plural\nzaken [de ~] sustantivo, plural\ngoedje [het ~] sustantivo\nwaar [de ~] sustantivo\nspul [het ~] sustantivo\nartikelen [de ~] sustantivo, plural\nkoopwaar [de ~] sustantivo\nvoorwerpen [de ~] sustantivo, plural\nkiev [znw.] sustantivo\nhaschisch [znw.] sustantivo\nhasj [de ~ (m)] sustantivo\nstuff [de ~ (m)] sustantivo\nhennep [de ~ (m)] sustantivo\nhasjiesj [de ~ (m)] sustantivo\nwiet [de ~ (m)] sustantivo\nbezittingen [de ~] sustantivo, plural\neigendommen [de ~] sustantivo, plural\nto stuff verbo (stuffs, stuffed, stuffing)\nproppen verbo (prop, propt, propte, propten, gepropt)\nineen duwen verbo\nstouwen verbo (stouw, stouwt, stouwde, stouwden, gestouwd)\nConjugaciones de stuff:\nPalabras relacionadas con "stuff":\nSinónimos de "stuff":\nAntónimos de "stuff":\nDefiniciones relacionadas de "stuff":\nTraducciones relacionadas de stuff


SOS -wurdskat: hoe kin ik in petear begjinne yn alle talen?\nPosted by Tranquillus | Sep 20, 2021 | Op it web\nLeare om in petear begjinne yn in frjemde taal is ien fan 'e essensjes fan' e wurdskat. D'r binne in protte útdrukkingen om te soargjen dat jo wurde begrepen, begrepen en yn petear gean mei de oare persoan. "Ik begryp it net", "kinne jo it werhelje", of sels "hoe neame jo dat" binne heul ienfâldige útdrukkingen om te learen, dy't jo lykwols sille helpe josels út te drukken yn it Ingelsk, Dútsk, Spaansk, Italiaansk en Braziliaansk Portugeesk.\nWêrom en hoe kinne jo in petear begjinne yn in frjemde taal?\nSoargje dat jo goed wurde begrepen troch jo petearsprekker is de basis foar liedend en in petear begjinne yn in frjemde taal. Wylst jo reizgje yn in frjemd lân wêr't jo de taal net goed behearskje, kin it kennen fan dizze wurdskat yn in protte situaasjes wirklik libbensbesparend wêze. Wittende hoe te sizzen "kinne jo it herhelje?", "Hoe neame jo it?" of "begrypst my?" kin jo wirklik helpe om situaasjes mei de oare persoan te ferdúdlikjen en josels begrepen te meitsjen.\nFansels witte hoe't jo in petear kinne begjinne is net genôch om noflik te wêzen yn alle situaasjes. Dat om mear wurdskat te learen, jo feardigens yn in frjemde taal te ferbetterjen of te ferbetterjen, neat as oefenje mei in applikaasje.\nSOS -wurdskat: hoe kin ik in petear begjinne yn alle talen? 15 oktober 2021Tranquillus\nREAD Wet studearje: in yntroduksje\nfoarigeBou jo profesjonele projekt en fyn jo wei: zoom op de Cité des Métiers yn Val de Marne\nfollowingFan sjoernalist oant ynhâldsbehearder: de profesjonele oergong fan Jean-Baptiste.\nBusiness immersions: lansearring fan in promoasjekampanje foar heul lytse bedriuwen\nHaw ik it rjocht om meiwurkers tiidsloten op te lizzen op in deipakket?\nPowerpoint 2016 training: Untwikkeling


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Bengali restaurateurs - Can selling alcohol be justified? – 5Pillars\nHome Dilly's Desk Bengali restaurateurs – Can selling alcohol be justified?\nMost Bengali restaurants sell alcohol\nPrevious articleBoxer jailed for Muslim Facebook threats\nNext articleTwitter spat erupts between “anti-extremism” experts


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Dêrnei Wês wis te Check Out al de in de Beautiful Thomas Kinkade Table Top Christmas Trees op hiel reedlike Prices!\nThomas Kinkade Christmas Trees:Thomas Kinkade bekend as de leafste "Painter of Light" hie ris sein dat er fanwegen hie ien ding mienskiplik mei Norman Rockwell en Walt Disney en dat wie: Hy wierheit en yn oprjuchtens woe om elk bliid.\nThomas Kinkade hie in wiere kado foar ûntfange kinne perfekt fangen inkele mominten yn tiid.\nWat jo geane te finen op dizze side is in ynspirearjende seleksje fan unyk Thomas Kinkade Christmas beammen.\nDy tafel top Christmas beammen troch Thomas Kinkade binne de perfekte neist foar it meitsjen fan in jo hielendal magysk Christmas Decor.\n2 Thomas Kinkade Animated Wonderland Express Tabletop Christmas Tree Mei Trein\n4 Thomas Kinkade Reflections fan Christmas Tabletop Tree\n6 Thomas Kinkade "wûnderlike Winter" Musical Tabletop Christmas Tree With Snowglobe\n7 Mear Thomas Kinkade Christmas Trees\nBy it sykjen nei Thomas Kinkade Christmas Trees, de maklikste manier om te keapjen harren is online.\nAs winkeljen online jo fine dat de seleksje is echt goed en jimme sille net te soargen oer grôtfolle winkels, ferkear of parkeare.\nDat wurdt sein lit ús ris efkes by al de Thomas Kinkade Christmas Trees dy't beskikber binne om te keapjen.\nDe earste ien wy hawwe is tige populêr en ik bin der wis fan dat it sil ta in koestere erfgoed.\nThomas Kinkade animated Wonderland Express Tabletop Christmas Tree Mei Trein\nDat Thomas Kinkade musical, animated table top Christmas Tree mei trein is in eksklusyf sammelstikken.\nDit soe meitsje in perfecte cadeau foar dysels of foar immen tichtby en leaf foar dy.\nIn tafel top Christmas beam dat waard ynspirearre troch it keunstwurk fan de skilder fan Light, Thomas Kinkade.\nWatch as de trein "klimt" hieltyd heger op 'e beam.\nDe Wonderland Express Animated Tabletop Christmas Tree Mei Trein wurdt intricately bewurke en skildere troch hân.\nIt is ôfmakke mei in tekken fan Glittery snie te foegjen in touch fan Christmas Geast!\nJo kinne watch as de animated Wonderland Express Trein klimt al de wei nei de top en Santa en syn rindieren fleane hinne en rûn de beam.\nSanta mei syn rindieren "fleane" rûn en rûn!\nJo sille ek genietsje it feit dat dizze tabel top Christmas beam spilet in tizeboel fan acht goed bekende Christmas Carols as de trein beweecht.\nDer binne tolve briljant ferljochte gebouwen en mear as twa dozen handcrafted figueren.\nOan de foarkant fan de prachtige basis fine jo it wurd "Thomas Kinkade Wonderland Express"\nDit Thomas Kinkade Wonderland Express tafel top Christmas tree is powered by a AC adapter which is included.\nOf jo kinne brûke 3 AAA batterijen dy't net opnommen.\nDe totale hichte is ûngefear 16 inches heech.\nGlory To De Newborn King troch Hawthorne Village\nDit is in prachtige tafel top Christmas Tree ynspirearre troch de keunst fan Thomas Kinkade en is tige teare mei exquisite detail.\nDit Berte scene tafel top Christmas beam decoration is in handcrafted fan moaie keunstner fan hars.\nThomas Kinkade Christmas beammen funksjes:\nIn himelske ingel bringt goede tynge oan 'e hoeders.\nDe nacht Jezus waard berne.\nDe komst fan de 3 keningen.\n40 handcrafted karakters ferskûle tsjin de handprinted toaniel.\nTribunes 16 inches heech\nit ek spilet "Silent Night" en it folume fan de muzyk kin oanpast wurde.\nDizze tabel top Christmas beam lights mei LED lytse ljochten dat de bedriuw seit sil duorje 10,000 oeren mar helaas se kinne net ferfongen wurde. (debedriuw advisearret dat de ljochten wêze op, net mear as in pear oeren deis)\nDe hiele beam sit op in mahony basis en komt mei in koperen namme plaat.\nDizze beam komt hân nûmere mei it eigen autentisiteit Sertifikaat.\nKomt mei in AC Adapter dat is opnaam of it kin rinne op 2 "AA" dat binne net opnommen.\nNOAT: Dizze tafel top Kryst beam is tige fragyl mar intricately prachtig.\nIt soe moai wêze om te keapjen in glêzen koepel te passen op top fan 'e beam krekt te hâlden it stal en rein.\nAlles by inoar "Eare oan de Newborn King" is ien fan de moaiste Thomas Kinkade Tabletop Christmas Trees en soe meitsje in prachtige jefte oan josels of immen tichtby.\nThomas Kinkade Reflections fan Christmas Tabletop Tree\nDit prachtige kristal tabletop beam is echt unyk, sa't it is handcrafted út wiere kristal en intricately hân skildere.\nYn de crystal beam binne lange-bliuwend LED lampen dy't ljocht op de tabletop beam mei libbene wikseljende kleuren.\nDruk in knop, en in âld-fashioned Miniature trein sirkels om de crystal beam oan in tizeboel fan 8 favorite Christmas carols.\nDat Thomas Kinkade tafel top Christmas tree maatregels 10 inches en sit op in houten basis dat hat in titel plakette yn it front.\nNot to forget it also plays acht fan ús favorite Christmas carols.\nDe Thomas Kinkade Reflections fan Christmas Tabletop Tree soe meitsje in amazing jefte foar in ús ien of foar dysels!\nDizze Snie covered Tabletop Christmas Tree is 15-inch heech tolve Victorian gebouwen en oer fjirtich doarpelingen, intricately hân-skildere en ferskûle tusken sparkling snie-oerdutsen tûken.\nDat Thomas Kinkade Christmas tree funksjes:\nin brass-look namme plaque op houten basis\nkomt mei in Powered by AC adapter of 3 AA batteries (net ynbegrepen)\nkomt mei autentisiteit Sertifikaat\nViktoriaanske gebouwen en oer 40 doarpelingen,\nDit Snow covered Thomas Kinkade Tabletop Christmas Tree sil meast wis in bytsje fan magic nei jo Holiday Decor!\nThomas Kinkade "wûnderlike Winter" Musical Tabletop Christmas Tree With Snowglobe\nThomas Kinkade Christmas snie globe beam mjit acht inch heech en spilet acht prachtige Christmas Carols.\nFlip in Switch en ljochten glow yn eltse lytse gebou and snow swirls through the air.\nThomas Kinkade "wûnderlike Winter" Christmas Tree With Snowglobe is in begûcheljende muzikale middelpunt dat is ideaal foar eltse Christmas decor.\nThomas Kinkade Night Foar Christmas Artificial Tabletop Christmas Tree\nThis Thomas Kinkade Night Before Christmas Artificial Tabletop Christmas Tree "Seit" it ferhaal fan 'e nacht foar Christmas as it ferljochtsje it gedicht, sêne by scene.\nJo sille sjen Santa by de iepen hurd, dêr't neu wurde hong mei soarch, lykas 10 fertroud leafste sênes út it gedicht, alle ferteld yn Thomas Kinkade syn eigen stim!\nflip it switch te feroverjen de fakânsje gloed fan oer 20 LED lampen\n"Acht Tiny rindieren" ferskine te heffen ôf om de gloeiende stjer topper\nhouten basis en koperen namme plaque\nnoch in oar prachtige Table top Christmas tree foar jo Christmas Decor.\nMear Thomas Kinkade Christmas Trees\nAs jo op syk binne nei in bepaald Thomas Kinkade Table Top Christmas beam en jimme hawwe net al komme oer it efkes oan 'e bern ûnder.\nIk bin der wis fan dat jo fine it perfekte Table Top Christmas beam foar jo Christmas Decor.\nDe Berte Tree Tabletop Centerpiece presintearre En ferhelle By Thomas Kinkade troch de Bradford Exchange (Koken)\nThomas Kinkade Musical Christmas Tabletop Tree Mei Crystal Base: Lights Up troch The Bradford Exchange (Koken)\nPriislist: $129.99 USD\nNew Fan: $129.99 USD Op foarrie\nThomas Kinkade seiningen fen 'e Season Crystal Angel Tabletop Tree Plays Silent Night by De Bradford Exchange (Koken)\nPriislist: $139.99 USD\nNew Fan: $139.99 USD Op foarrie\nThomas Kinkade De Nacht Foar Christmas Tabletop Centerpiece troch The Bradford Exchange (Koken)\nnoch Grin? Wês wis te Check Out al de in de Mear Stunning Thomas Kinkade Table Top Christmas Trees op hiel reedlike Prices!\nAs jo op syk binne nei oare Christmas Decorations, jo miskien fine guon fan ús oare siden ynteressant.\nDútske Hand Blown Christmas Ornaments\nFiled Under: Christmas Trees, decorations tagged Mei: hawthorne village wonderland express christmas tree, kinkade christmas tree, kinkade christmas village, pop up christmas tree, pull up christmas tree, thomas kinkade christmas, thomas kinkade christmas 2016, thomas kinkade christmas decorations, thomas kinkade christmas houses, thomas kinkade christmas ornaments, thomas kinkade christmas paintings, thomas kinkade christmas tree cottage, thomas kinkade christmas tree topper, thomas kinkade christmas tree train, Thomas Kinkade Christmas Trees, thomas kinkade christmas village, thomas kinkade christmas village collection, thomas kinkade christmas village set, thomas kinkade collectibles, thomas kinkade figurines, thomas kinkade ornaments, thomas kinkade plates, thomas kinkade pop up 6 foot christmas tree, thomas kinkade prints, thomas kinkade revolving christmas tree topper, thomas kinkade snow globes, thomas kinkade snowman, thomas kinkade tabletop christmas tree, thomas kinkade tapestry, thomas kinkade tree, thomas kinkade tree topper, thomas kinkade victorian christmas, thomas kinkade village, thomas kinkade village christmas christmas thomas kinkade, thomas kinkade village christmas collection, thomas kinkade winter scenes


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Elections 3 illegals charged with voter fraud - Page 2 - ChiefsPlanet\n10-21-2012, 09:33 AM #16\n10-21-2012, 09:58 AM #18\n10-21-2012, 10:07 AM #19\n10-21-2012, 10:54 AM #21\n10-21-2012, 11:46 AM #24\nI know you or someone will attack heritage but the footnotes are rather extensive\nAs they should. It would be like me posting something from Kieth Olberman and telling you its the truth and expecting you to believe it.\n10-21-2012, 11:50 AM #25\n10-21-2012, 12:13 PM #26\n10-21-2012, 12:50 PM #27\nIn 2008, ACORN registered dead people as well as fictitious voters taken from a phonebook.http://azpundit.com/judge-slaps-acor...2008-election/\nLast edited by LiveSteam; 10-21-2012 at 12:58 PM..\n10-21-2012, 12:58 PM #28\n10-21-2012, 01:01 PM #29\n10-21-2012, 01:05 PM #30


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