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Sourdel-Thomine) TI - ʿIRĀḲ SP - iii:1282b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/abd-allah-b-muti-SIM_0059 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (K.V. Zetterstéen AU - Ch. Pellat) TI - ʿABD ALLĀH b. MUṬĪʿ SP - I:51b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/hababa-SIM_2571 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - ḤABĀBA SP - III:2b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/ibn-kunasa-SIM_3263 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - IBN KUNĀSA SP - iii:867a ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/al-hakam-b-abdal-SIM_2631 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - al-ḤAKAM b. ʿABDAL SP - III:75a ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/ibn-al-zubayr-SIM_3426 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - IBN al-ZUBAYR SP - III:1000b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/al-madjdhub-SIM_4742 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - al-MAḎJ̲ḎH̲ŪB SP - v:1025a ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/ahaggar-SIM_0370 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - AHAGGAR SP - I:262b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/al-djammaz-SIM_1975 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - al-ḎJ̲AMMĀZ SP - II:449a ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/ibrahim-b-al-sindi-SIM_3444 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - IBRĀHĪM b. al-SINDĪ SP - III:1014b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/ibn-hisham-al-lakhmi-SIM_8652 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - IBN HIS̲H̲ĀM al-LAK̲H̲MĪ SP - xii:388b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/al-ahnaf-b-kays-SIM_0434 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - al-AḤNAF b. ḲAYS SP - I:313a ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/al-afwah-al-awdi-SIM_0354 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - al-AFWAH al-AWDĪ SP - I:250a ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/ibn-al-abbar-SIM_3025 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (M. Ben Cheneb- AU - [Ch. Pellat]) TI - IBN al-ABBĀR SP - III:694b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/al-hakam-b-muhammad-b-kanbar-SIM_2632 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - al-ḤAKAM b. Muḥammad b. ḲANBAR SP - III:75b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/al-nawfali-SIM_5864 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - al-NAWFALĪ SP - vii:1047b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/abu-l-anbas-al-saymari-SIM_8236 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Ch. Pellat) TI - ABŪ l-ʿANBAS al-ṢAYMARĪ SP - XII:16b ER - TY - CHAP PB - Brill UR - https://referenceworks.brillonline.com:443/entries/encyclopedie-de-l-islam/hammal-SIM_2682 T3 - Encyclopaedia of Islam T2 - Encyclopédie de l’Islam AU - (Cl. Huart- AU - [Ch. Pellat]) TI - ḤAMMĀL SP - III:141b ER -


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NWT New MATTIOLO Navy bluee Sharksin Wool Peak Lapel Slim Suit 42R 2-Btn 3-Pc qioftn722-Suits & Tailoring - www.joshdaiek.com\nLARDINI COLLEZIONI SARTORIALI ABITO LINO RAMIE+COTONE grey TG 54 1120,00 CART.\nDSQUARED2 CAMISEDADE women DE CUELLO REDONDO CON MANGAS CORTAS NUEVO ICON NE E0A\nKokon To Zai_KTZ_White Embossed Portrait Quilted Top_unique_high fashion\nTrussardi Jeans Shirt Men Size 43, color bluee _43\nSupreme Cutouts Tee Red Size Large T shirt L New Authenticated\nVintage Brijand Sequin dress size medium\nAdriano goldschmied Womens Brooke bluee Medium Wash Bermuda Shorts 25 BHFO 8845\nSLOBE IENA Sweaters 780083 White\nISAIA Recent Base S Brown & Cream Wool Silk Linen Blazer Sport Coat 46-8L 2 Btn\nIsabel Marant Étoile Trousers Size de 36 Fr 38 White bluee Women's New\nKsubi tsubi super bluee wash skinny jeans new jeans pants legging women sz 27\nBi1722 C.p. company men's grey bermuda\nZARA FRILLED LACE SLEEVELESS DRESS WIDE RUFFLE HIDDEN ZIP UP YELLOW 3059 787 XS\nZimmermann Primpink crinkle playsuit size 0\nMAJE White Learher Trousers - UK12\nHoss - Länge - Weiblich - white - 2070508A183922\nRame - Shirts-Blouses - Woman - bluee - 5518412D190650\n(SALE) Jean-Paul GAULTIER FEMME Gabardine Pants Size 40(K-38752)\nSpell and The Gypsy LIONESS Wild Bloom Blouse L cream BNWT sold out\nErmenegildo Zegna Two Button Plaid 100% Cashmere Blazer 40 S 0 Comments\nNWT Brunello Cucinelli 100%Silk Satin Layer Banded Wide Leg Dress Pant 42 6\nTWIN-SET Felpa TWIN-SET women EI185191TT2210 -T00001 Bianco\nSt John Knit Pants Navy Flat Front Size 2 NWOT John Galliano bluese T-Shirt Top Tunika pink Seide Neu 36 40\nBrooks Bredhers Madison bluee Striped Two Button Wool Suit Size 42 S 37 30 Pants\nSize Type: Regular Pants Front Type: Flat Front\nType: Suit Brand: Mattiolo\nColour: Blue Jacket Length: Regular\nCocon Commerz Privatsachen - Lagenlook VOLANT TUNIKA Gr 42 44 46 48 - black\nLiu - Jo - Female - 44 - Red - 1300508B164234 0 Comments\nPolo Ralph Lauren Silk Cutout Shoulder Dress Women US 8 RRP\nFigue Milan 3 4-Sleeve Cotton Tunic Top Size X-Small NWT\nDondup - Topwear-T-shirts - woman - 807818C184231 Blazer - College Notre Dame - Fighting Irish Notre Dame Blazer\nRebecca Taylor Python One-Shoulder Top in Purple Women's US Size 4 NEW\nMens Slim Fit bluee Textured Two Button Wool Suit\nSmoking mit Hose Lacerna Anzug black Schalkragen 24 28 90 46 96% Schurwolle\nNWT EIDOS by ISAIA BLAZER Teblack solid grey twill weave Winter eu 58 us 48\nMARINA RINALDI Women's Fastigio Sheer Embroidered Blouse NWT\nPowered by EXCEPTIONNEL CORSET black UNIQUE - DENTELLE ANCIENNE POSÉE À LA MAIN\n2017AW PLEATS PLEASE ISSEY MIYAKE Beans Bounce Loose Shirt Multi-color Size 5\nBrunello Cucinelli Nuevo black Crepé Cintura Alta Plisado\nEmilio Pucci White Deep bluee Nautical Sailor Stripe Cropped Vest Top Tank L IT44


Ubuntu 21.10 EPYC MilanOpenBenchmarking.orgPhoronix Test Suite 10.8.0AMD EPYC 74F3 24-Core @ 3.20GHz (24 Cores / 48 Threads)ASRockRack ROME2D16-2T (P3.10 BIOS)AMD Starship/Matisse64GB1000GB Western Digital WD_BLACK SN850 1TBASPEEDAMD Starship/MatisseVE2282 x Intel 10G X550TUbuntu 21.105.13.0-16-generic (x86_64)5.15.0-051500rc5daily20211011-generic (x86_64) 20211010GNOME Shell 40.5X Server1.1.182GCC 11.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelsDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionUbuntu 21.10 EPYC Milan BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-gcn/usr --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 schedutil (Boost: Enabled) - CPU Microcode: 0xa001114 - OpenJDK Runtime Environment (build 11.0.12+7-Ubuntu-0ubuntu3)- Python 3.9.7- 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\nUbuntu 21.10 vs. Ubuntu 21.10 + Linux 5.15 ComparisonPhoronix Test Suite 10.8.0Baseline+80.7%+80.7%+161.4%+161.4%+242.1%+242.1%322.8%48%28.9%17%16.3%15.9%14.6%14%13.1%12.7%12.7%11.8%11.6%9.4%9.2%8.4%8%7.7%7.7%7%6.9%6.6%6.5%6.4%6.3%6.3%6%5.9%5.8%5.8%5.8%5.6%5.6%5.5%5.4%4.9%4.8%4.8%4.4%4.4%4.1%4.1%3.8%3.6%3.3%3.2%3.2%3.1%3.1%3.1%3%2.9%2.8%2.6%2.5%2.4%2.4%2.3%2.2%2.2%2.1%2.1%2.1%2%IO_uring1000 - 500 - Read Write53.5%1000 - 500 - Read Write - Average Latency52.2%1000 - 250 - Read Write51.5%1000 - 250 - Read Write - Average Latency48.7%S.V.M.PSocket Activity100 - 250 - Read Write - Average Latency27%100 - 250 - Read Write27%100 - 500 - Read Write20.3%100 - 500 - Read Write - Average Latency20.3%super-resolution-10 - OpenMP CPUContext Switchingbertsquad-10 - OpenMP CPU20MMAP14.3%201002005001000CPU - alexnet10100BLAS8.7%5128.7%GET8.6%CPU - blazefaceMEMFDNo - Inference - VGG19 - CPUCG.CJPEG - 7No - Inference - VGG16 - CPUCPU-v3-v3 - mobilenet-v3MobileNetV2_224squeezenetv1.1CPU - resnet5010, LosslessJPEG - 5CPU - resnet18CPU - mobilenet1000100 - 500 - Read OnlyForking100 - 500 - Read Only - Average Latency200i.i.1.C.P.D500CPU - yolov4-tinySqueezeNetV1.0CPU - googlenetMG.CPNG - 7PNG - 5CPU - efficientnet-b0JPEG - 813.3%Blake-2 S3.3%CPU - vgg166shufflenet-v2-10 - OpenMP CPUSpeed 5 - Bosphorus 4K3.2%NASNet MobileNASA Streamlines - SciVisCPU - squeezenet_ssdCPU - regnety_400mSP.CRhodopsin Protein2.8%SP.BLU.CGarlicoin2.6%Matrix Mathfcn-resnet101-11 - OpenMP CPUCPU - mnasnet1000 - 500 - Read Only2.3%1000 - 500 - Read Only - Average Latency2.3%R.R.W.RSETDanish Mood - CPUCPU-v2-v2 - mobilenet-v2SENDFILE2.1%O.S2.1%PNG - 82NUMAStress-NGPostgreSQL pgbenchPostgreSQL pgbenchPostgreSQL pgbenchPostgreSQL pgbenchStress-NGStress-NGPostgreSQL pgbenchPostgreSQL pgbenchPostgreSQL pgbenchPostgreSQL pgbenchONNX RuntimeStress-NGONNX RuntimenginxStress-NGApache HTTP ServernginxnginxnginxnginxNCNNlibavif avifencApache HTTP ServerLeelaChessZeroMariaDBRedisNCNNStress-NGPlaidMLNAS Parallel BenchmarksJPEG XL libjxlPlaidMLNCNNMobile Neural NetworkMobile Neural NetworkNCNNlibavif avifencJPEG XL libjxlNCNNNCNNApache HTTP ServerPostgreSQL pgbenchStress-NGPostgreSQL pgbenchApache HTTP ServerXcompact3d Incompact3dApache HTTP ServerNCNNMobile Neural NetworkNCNNNAS Parallel BenchmarksJPEG XL libjxlJPEG XL libjxlNCNNJPEG XL libjxlApache HTTP ServerCpuminer-OptNCNNlibavif avifencONNX RuntimeVP9 libvpx EncodingTensorFlow LiteOSPrayNCNNNCNNNAS Parallel BenchmarksLAMMPS Molecular Dynamics SimulatorNAS Parallel BenchmarksNAS Parallel BenchmarksCpuminer-OptStress-NGONNX RuntimeNCNNPostgreSQL pgbenchPostgreSQL pgbenchFacebook RocksDBRedisLuxCoreRenderNCNNStress-NGRodiniaJPEG XL libjxllibavif avifencStress-NGUbuntu 21.10Ubuntu 21.10 + Linux 5.15\nUbuntu 21.10 EPYC Milanlczero: BLASlammps: 20k Atomspgbench: 1000 - 500 - Read Write - Average Latencypgbench: 1000 - 500 - Read Writepgbench: 1000 - 250 - Read Write - Average Latencypgbench: 1000 - 250 - Read Writeonnx: bertsquad-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3build-llvm: Unix Makefilesrodinia: OpenMP HotSpot3Dnginx: 1lczero: Eigenmysqlslap: 512jpegxl: PNG - 8openfoam: Motorbike 60Msecuremark: SecureMark-TLSbuild-llvm: Ninjablender: Barbershop - CPU-Onlyplaidml: No - Inference - ResNet 50 - CPUpgbench: 1000 - 250 - Read Only - Average Latencypgbench: 1000 - 250 - Read Onlybrl-cad: VGR Performance Metricpgbench: 1000 - 500 - Read Only - Average Latencypgbench: 1000 - 500 - Read Onlytnn: CPU - DenseNetpgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writeopenssl: SHA256cpuminer-opt: Ringcoincpuminer-opt: Myriad-Groestlbuild-nodejs: Time To Compilestress-ng: CPU Cachepgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlycassandra: Writesonnx: fcn-resnet101-11 - OpenMP CPUonnx: yolov4 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUaom-av1: Speed 6 Two-Pass - Bosphorus 4Kjpegxl: PNG - 7appleseed: Emilycpuminer-opt: Blake-2 Splaidml: No - Inference - VGG19 - CPUappleseed: Material Testerapache: 1000apache: 500nginx: 100nginx: 200nginx: 1000nginx: 500apache: 1apache: 200nginx: 20apache: 100apache: 20sysbench: CPUospray: San Miguel - Path Tracerplaidml: No - Inference - VGG16 - CPUrodinia: OpenMP LavaMDvpxenc: Speed 0 - Bosphorus 4Konednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUredis: SETv-ray: CPUstockfish: Total Timesimdjson: PartialTweetssimdjson: DistinctUserIDluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - CPUtensorflow-lite: Inception V4luxcorerender: LuxCore Benchmark - CPUtensorflow-lite: Inception ResNet V2luxcorerender: Rainbow Colors and Prism - CPUncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetluxcorerender: DLSC - CPUtensorflow-lite: NASNet Mobiletensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floatblender: BMW27 - CPU-Onlyrocksdb: Update Randrocksdb: Rand Fillrocksdb: Read Rand Write Randopenssl: RSA4096openssl: RSA4096gromacs: MPI CPU - water_GMX50_barebuild-godot: Time To Compilexmrig: Monero - 1Msimdjson: Kostyaxmrig: Wownero - 1Msimdjson: LargeRandstress-ng: IO_uringavifenc: 0namd: ATPase Simulation - 327,506 Atomsrodinia: OpenMP Leukocytenpb: SP.Cbuild-linux-kernel: Time To Compileoidn: RT.ldr_alb_nrm.3840x2160vpxenc: Speed 5 - Bosphorus 4Kcompress-7zip: Compress Speed Testopenfoam: Motorbike 30Msvt-av1: Preset 8 - Bosphorus 4Kcpuminer-opt: Garlicoincpuminer-opt: x25xcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Skeincoincpuminer-opt: LBC, LBRY Creditscpuminer-opt: Deepcoinincompact3d: input.i3d 193 Cells Per Directioncpuminer-opt: Magistress-ng: NUMAstress-ng: MMAPstress-ng: Mallocstress-ng: Context Switchingstress-ng: Cryptostress-ng: System V Message Passingstress-ng: Memory Copyingstress-ng: Vector Mathstress-ng: CPU Stressstress-ng: Socket Activitystress-ng: SENDFILEstress-ng: Forkingstress-ng: MEMFDstress-ng: Glibc Qsort Data Sortingstress-ng: Matrix Mathstress-ng: Glibc C String Functionsstress-ng: Atomicstress-ng: Semaphoressynthmark: VoiceMark_100avifenc: 6, Losslessastcenc: Exhaustiveospray: San Miguel - SciVisnpb: IS.Dnpb: LU.Cavifenc: 2x265: Bosphorus 4Kembree: Pathtracer ISPC - Crownospray: NASA Streamlines - Path Tracerttsiod-renderer: Phong Rendering With Soft-Shadow Mappingnatron: Spaceshipembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonaom-av1: Speed 8 Realtime - Bosphorus 4Ktnn: CPU - MobileNet v2rodinia: OpenMP Streamclusterembree: Pathtracer - Asian Dragonjpegxl: PNG - 5tnn: CPU - SqueezeNet v1.1jpegxl: JPEG - 5jpegxl: JPEG - 7redis: GETaom-av1: Speed 9 Realtime - Bosphorus 4Kx265: Bosphorus 1080pnpb: FT.Cospray: NASA Streamlines - SciVisjpegxl: JPEG - 8sysbench: RAM / Memoryrodinia: OpenMP CFD Solveravifenc: 6svt-vp9: VMAF Optimized - Bosphorus 1080pospray: Magnetic Reconnection - SciVisincompact3d: input.i3d 129 Cells Per Directionastcenc: Thoroughnpb: CG.Cnpb: SP.Bavifenc: 10, Losslesslammps: Rhodopsin Proteinsvt-hevc: 7 - Bosphorus 1080ptnn: CPU - SqueezeNet v2npb: MG.Cavifenc: 10svt-hevc: 10 - Bosphorus 1080pospray: Magnetic Reconnection - Path Tracerparboil: OpenMP CUTCPUbuntu 21.10Ubuntu 21.10 + Linux 5.15145716.87415.886317506.34940117648505626.6082.7183.8376.24920.7114.7262.375274.26479.40352710.0313307030.96243.11269688235.750229.1410.100.4096116333495080.7826393612850.2364.68353398361642702633390.4612315153.714105.9710.772464300.3387394000.675740296230318167428171567.309.36162.672185133517822.20147.897295128080.82128306.91178550.68180031.89178900.55180523.876319.90133795.46192582.12110031.1567345.50114579.763.1127.1385.0627.461429.31777.2622148023.0227825756310714.174.937.053.6112245733.94108032014.1114.9416.1721.1216.435.569.2625.5113.032.977.075.136.215.665.7313.594.7489415.182510.859851.755376.059.797277677774212687791425838.46520.23.25956.36018217.53.2119059.61.11116668.4945.1200.7772544.60135556.4436.7310.8617.5117211724.2219.7071977.07768.20506553214267208510690702360030.38514141221.38573.20550.07619879641.7711961807.376537.916620370.078094.80142582.1269408.5914982.11532284.3269854.871046.21348.09102691.893684070.29196373.373625859.10814.64028.86024.060837.511993.8382765.1825.02326.3628.492210.53969.4945.130.763431.464731.28282.1316.55834.156672.00251.85274.5573.992684890.0046.8054.7242915.0350.5328.9410278.239.5419.722446.6228.576.908100136.567724114.1163598.145.73016.350281.4862.60950332.643.497553.02500134017.00224.174206889.44426474751591426.3812.6943.6045.96221.0214.4412.370275.49280.31252530.1113066470.98239.68272310234.950227.9410.290.4036204253490040.8006247942837.5325.94942046362898522703378.7812437153.044105.9612.958385940.3347482630.639782876231554171436177047.359.74163.068268129252523.92147.981773135459.43134586.75202016.07202847.39200086.32203360.666116.77141087.74220753.31120148.1176761.54114562.033.1028.9984.0997.421412.99766.6902195897.7928305753043694.184.947.093.6912179033.99107614014.1014.5015.6920.1515.454.988.7424.7012.482.746.815.016.135.315.6112.844.7786693.481889.158918.054956.159.917413437724682748440426052.96529.13.29756.08118333.43.2119138.51.11493315.9045.0730.7773044.35436599.6036.4660.8516.9717516524.2119.4881927.23773.60508047213690209400691632345029.89442001223.67584.46481.35622292053.4013907201.316539.849796819.428141.98142690.5569941.3419318.77521315.0673798.881130.04347.75105285.853705740.26197807.923635712.18816.31028.35824.045737.512013.1184921.3524.51826.5828.275510.53957.3875.130.950931.404430.96280.3386.69534.383574.92251.44379.0479.202472940.846.7355.2043590.5752.1129.9910249.849.7019.418444.4628.576.557199796.545025960.1165350.975.39015.905283.5161.87552547.883.197556.42500OpenBenchmarking.org\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3Ubuntu 21.10Ubuntu 21.10 + Linux 5.15612182430SE +/- 0.33, N = 15SE +/- 0.30, N = 1426.6126.38MIN: 24.29 / MAX: 34.57MIN: 23.92 / MAX: 31.41. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3Ubuntu 21.10Ubuntu 21.10 + Linux 5.15612182430Min: 24.57 / Avg: 26.61 / Max: 28.7Min: 24.11 / Avg: 26.38 / Max: 28.281. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0Ubuntu 21.10Ubuntu 21.10 + Linux 5.150.61161.22321.83482.44643.058SE +/- 0.024, N = 15SE +/- 0.021, N = 142.7182.694MIN: 2.45 / MAX: 5.04MIN: 2.47 / MAX: 6.091. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 2.51 / Avg: 2.72 / Max: 2.86Min: 2.57 / Avg: 2.69 / Max: 2.771. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224Ubuntu 21.10Ubuntu 21.10 + Linux 5.150.86331.72662.58993.45324.3165SE +/- 0.032, N = 15SE +/- 0.032, N = 143.8373.604MIN: 3.58 / MAX: 4.5MIN: 3.38 / MAX: 7.241. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 3.63 / Avg: 3.84 / Max: 4.09Min: 3.42 / Avg: 3.6 / Max: 3.861. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810SE +/- 0.054, N = 15SE +/- 0.044, N = 146.2495.962MIN: 5.67 / MAX: 11.64MIN: 5.6 / MAX: 9.221. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 5.81 / Avg: 6.25 / Max: 6.65Min: 5.68 / Avg: 5.96 / Max: 6.291. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50Ubuntu 21.10Ubuntu 21.10 + Linux 5.15510152025SE +/- 0.42, N = 15SE +/- 0.39, N = 1420.7121.02MIN: 18.2 / MAX: 28.32MIN: 18.32 / MAX: 25.571. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50Ubuntu 21.10Ubuntu 21.10 + Linux 5.15510152025Min: 18.4 / Avg: 20.71 / Max: 22.98Min: 18.47 / Avg: 21.02 / Max: 22.311. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1Ubuntu 21.10Ubuntu 21.10 + Linux 5.151.06342.12683.19024.25365.317SE +/- 0.054, N = 15SE +/- 0.054, N = 144.7264.441MIN: 4.13 / MAX: 8.49MIN: 3.94 / MAX: 7.881. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 4.33 / Avg: 4.73 / Max: 5.14Min: 4.04 / Avg: 4.44 / Max: 4.791. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3Ubuntu 21.10Ubuntu 21.10 + Linux 5.150.53441.06881.60322.13762.672SE +/- 0.037, N = 15SE +/- 0.034, N = 142.3752.370MIN: 2.15 / MAX: 5.63MIN: 2.11 / MAX: 5.911. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 2.19 / Avg: 2.38 / Max: 2.58Min: 2.15 / Avg: 2.37 / Max: 2.541. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CPU-OnlyUbuntu 21.10Ubuntu 21.10 + Linux 5.1550100150200250SE +/- 0.51, N = 3SE +/- 0.53, N = 3229.14227.94\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CPU-OnlyUbuntu 21.10Ubuntu 21.10 + Linux 5.154080120160200Min: 228.16 / Avg: 229.14 / Max: 229.89Min: 227.22 / Avg: 227.94 / Max: 228.97\nOpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.2VGR Performance MetricUbuntu 21.10Ubuntu 21.10 + Linux 5.1570K140K210K280K350K3495083490041. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm\nOpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetUbuntu 21.10Ubuntu 21.10 + Linux 5.156001200180024003000SE +/- 0.80, N = 3SE +/- 0.69, N = 32850.242837.53MIN: 2802.46 / MAX: 2916.75MIN: 2800.78 / MAX: 2894.041. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl\nOpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetUbuntu 21.10Ubuntu 21.10 + Linux 5.155001000150020002500Min: 2848.63 / Avg: 2850.24 / Max: 2851.12Min: 2836.47 / Avg: 2837.53 / Max: 2838.821. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl\nOpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyUbuntu 21.10Ubuntu 21.10 + Linux 5.154080120160200162.67163.07\nOpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterUbuntu 21.10Ubuntu 21.10 + Linux 5.15306090120150147.90147.98\nOpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUUbuntu 21.10Ubuntu 21.10 + Linux 5.156K12K18K24K30KSE +/- 357.24, N = 3SE +/- 262.43, N = 32782528305\nOpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUUbuntu 21.10Ubuntu 21.10 + Linux 5.155K10K15K20K25KMin: 27111 / Avg: 27825.33 / Max: 28195Min: 27794 / Avg: 28304.67 / Max: 28665\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400mUbuntu 21.10Ubuntu 21.10 + Linux 5.1548121620SE +/- 0.18, N = 3SE +/- 0.04, N = 314.9414.50MIN: 14.42 / MAX: 114.45MIN: 14.35 / MAX: 17.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400mUbuntu 21.10Ubuntu 21.10 + Linux 5.1548121620Min: 14.67 / Avg: 14.94 / Max: 15.28Min: 14.43 / Avg: 14.5 / Max: 14.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssdUbuntu 21.10Ubuntu 21.10 + Linux 5.1548121620SE +/- 0.11, N = 3SE +/- 0.11, N = 316.1715.69MIN: 15.43 / MAX: 158.11MIN: 15.28 / MAX: 19.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssdUbuntu 21.10Ubuntu 21.10 + Linux 5.1548121620Min: 16.01 / Avg: 16.17 / Max: 16.39Min: 15.55 / Avg: 15.69 / Max: 15.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tinyUbuntu 21.10Ubuntu 21.10 + Linux 5.15510152025SE +/- 0.35, N = 3SE +/- 0.62, N = 321.1220.15MIN: 19.68 / MAX: 123.27MIN: 19.23 / MAX: 24.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tinyUbuntu 21.10Ubuntu 21.10 + Linux 5.15510152025Min: 20.64 / Avg: 21.12 / Max: 21.8Min: 19.45 / Avg: 20.15 / Max: 21.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50Ubuntu 21.10Ubuntu 21.10 + Linux 5.1548121620SE +/- 0.31, N = 3SE +/- 0.24, N = 316.4315.45MIN: 15.63 / MAX: 176.4MIN: 14.99 / MAX: 19.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50Ubuntu 21.10Ubuntu 21.10 + Linux 5.1548121620Min: 15.94 / Avg: 16.43 / Max: 17.01Min: 15.17 / Avg: 15.45 / Max: 15.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnetUbuntu 21.10Ubuntu 21.10 + Linux 5.151.2512.5023.7535.0046.255SE +/- 0.05, N = 3SE +/- 0.25, N = 35.564.98MIN: 5.35 / MAX: 49.86MIN: 4.57 / MAX: 8.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnetUbuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 5.5 / Avg: 5.56 / Max: 5.65Min: 4.73 / Avg: 4.98 / Max: 5.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18Ubuntu 21.10Ubuntu 21.10 + Linux 5.153691215SE +/- 0.05, N = 3SE +/- 0.22, N = 39.268.74MIN: 8.7 / MAX: 58.92MIN: 8.38 / MAX: 10.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18Ubuntu 21.10Ubuntu 21.10 + Linux 5.153691215Min: 9.17 / Avg: 9.26 / Max: 9.34Min: 8.52 / Avg: 8.74 / Max: 9.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16Ubuntu 21.10Ubuntu 21.10 + Linux 5.15612182430SE +/- 0.16, N = 3SE +/- 0.57, N = 325.5124.70MIN: 24.52 / MAX: 94.79MIN: 23.74 / MAX: 37.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16Ubuntu 21.10Ubuntu 21.10 + Linux 5.15612182430Min: 25.23 / Avg: 25.51 / Max: 25.78Min: 24.01 / Avg: 24.7 / Max: 25.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenetUbuntu 21.10Ubuntu 21.10 + Linux 5.153691215SE +/- 0.35, N = 3SE +/- 0.34, N = 313.0312.48MIN: 12.37 / MAX: 104.76MIN: 11.83 / MAX: 15.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenetUbuntu 21.10Ubuntu 21.10 + Linux 5.1548121620Min: 12.67 / Avg: 13.03 / Max: 13.73Min: 12.13 / Avg: 12.48 / Max: 13.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazefaceUbuntu 21.10Ubuntu 21.10 + Linux 5.150.66831.33662.00492.67323.3415SE +/- 0.12, N = 3SE +/- 0.02, N = 32.972.74MIN: 2.7 / MAX: 104.82MIN: 2.67 / MAX: 3.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazefaceUbuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 2.77 / Avg: 2.97 / Max: 3.18Min: 2.72 / Avg: 2.74 / Max: 2.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810SE +/- 0.06, N = 3SE +/- 0.00, N = 37.076.81MIN: 6.84 / MAX: 61.76MIN: 6.74 / MAX: 10.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0Ubuntu 21.10Ubuntu 21.10 + Linux 5.153691215Min: 6.98 / Avg: 7.07 / Max: 7.19Min: 6.81 / Avg: 6.81 / Max: 6.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnetUbuntu 21.10Ubuntu 21.10 + Linux 5.151.15432.30863.46294.61725.7715SE +/- 0.03, N = 3SE +/- 0.02, N = 35.135.01MIN: 5 / MAX: 20.79MIN: 4.91 / MAX: 15.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnetUbuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 5.08 / Avg: 5.13 / Max: 5.17Min: 4.97 / Avg: 5.01 / Max: 5.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810SE +/- 0.02, N = 3SE +/- 0.02, N = 36.216.13MIN: 6.02 / MAX: 21.42MIN: 5.99 / MAX: 8.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 6.17 / Avg: 6.21 / Max: 6.25Min: 6.11 / Avg: 6.13 / Max: 6.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3Ubuntu 21.10Ubuntu 21.10 + Linux 5.151.27352.5473.82055.0946.3675SE +/- 0.16, N = 3SE +/- 0.02, N = 35.665.31MIN: 5.23 / MAX: 133.29MIN: 5.21 / MAX: 15.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 5.4 / Avg: 5.66 / Max: 5.96Min: 5.28 / Avg: 5.31 / Max: 5.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2Ubuntu 21.10Ubuntu 21.10 + Linux 5.151.28932.57863.86795.15726.4465SE +/- 0.02, N = 3SE +/- 0.02, N = 35.735.61MIN: 5.52 / MAX: 15.08MIN: 5.46 / MAX: 9.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2Ubuntu 21.10Ubuntu 21.10 + Linux 5.15246810Min: 5.69 / Avg: 5.73 / Max: 5.75Min: 5.57 / Avg: 5.61 / Max: 5.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenetUbuntu 21.10Ubuntu 21.10 + Linux 5.153691215SE +/- 0.12, N = 3SE +/- 0.18, N = 313.5912.84MIN: 12.98 / MAX: 71.45MIN: 12.4 / MAX: 14.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenetUbuntu 21.10Ubuntu 21.10 + Linux 5.1548121620Min: 13.36 / Avg: 13.59 / Max: 13.75Min: 12.64 / Avg: 12.84 / Max: 13.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CPU-OnlyUbuntu 21.10Ubuntu 21.10 + Linux 5.151326395265SE +/- 0.04, N = 3SE +/- 0.11, N = 359.7959.91\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CPU-OnlyUbuntu 21.10Ubuntu 21.10 + Linux 5.151224364860Min: 59.74 / Avg: 59.79 / Max: 59.87Min: 59.71 / Avg: 59.91 / Max: 60.08\nOpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte


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Bûtan ngultrum Nei Yen Wikselkoers\nBûtan ngultrum Nei Yen wikselkoers hjoed. Bûtan ngultrum wearde yn Yen hjoed.\nBûtan ngultrum Nei Yen wikselkoers hjoed\n1 Bûtan ngultrum (BTN) is lyk oan 1.65 Yen (JPY)\n1 Yen (JPY) is lyk oan 0.61 Bûtan ngultrum (BTN)\nYnformaasje oer de wearde fan Bûtan ngultrum oant Yen wurdt ien kear deis bywurke. De wikselkoers werjûn op dizze pagina is de wikselkoers dy't offisjeel is fêststeld foar hjoed 24 May 2022 neffens de resultaten fan wikselhannel. Jildwikselkoersen Bûtan ngultrum oant Yen út betroubere databases. Hjir is in fergese deistige referinsje oer faluta wikselkoersen.\n1 Bûtan ngultrum is gelyk oan 1.65 Yen hjoed yn 'e Jeropeeske bank. 1 Bûtan ngultrum is goedkeaper wurden troch -0.074871 Yen hjoed yn 'e Bank of Europe. Bûtan ngultrum wikselkoers is hjoed omleech relatyf oan Yen neffens Jeropeeske wikselkoersen. Foar 1 Bûtan ngultrum moatte jo no 1.65 Yen tsjin it taryf fan in Jeropeeske bank.\nConvert Bûtan ngultrum Nei Yen Bûtan ngultrum Nei Yen live op Forex exchange market Bûtan ngultrum Nei Yen wikselkoers skiednis\nBûtan ngultrum Nei Yen Wikselkoers hjoed by 24 May 2022\nFeroaringen yn 'e wikselkoers fan Bûtan ngultrum nei Yen oer ferskate dagen wurde yn' e tabel werjûn. De tabel befettet wikselkoerswearden foar de ôfrûne dagen. Fergelykje de wikselkoers fan Bûtan ngultrum mei Yen de ôfrûne dagen om de dynamyk fan 'e wikselkoers te begripen. Analysearje en prognostearje de wikselkoers fan Bûtan ngultrum oant Yen foar moarn en keapje de munt profitabel.\n24.05.2022 1.67209 -0.074871 ↓\n23.05.2022 1.746961 0.013975 ↑\n22.05.2022 1.732986 0.089473 ↑\n21.05.2022 1.643513 -0.001598 ↓\n20.05.2022 1.645112 -0.041051 ↓\nDe priis fan 1 Bûtan ngultrum tsjin de wikselkoers is 1.65 Yen. 5 Bûtan ngultrum binne no wurdich 8.25 Yen. 16.50 Yen de kosten fan 10 Bûtan ngultrum at de hjoeddeistige wikselkoers. 41.24 Yen de kosten fan 25 Bûtan ngultrum at de hjoeddeistige wikselkoers. 1 Bûtan ngultrum is hjoed gelyk oan 1.65 Yen neffens wikselkoers fan 'e nasjonale bank. 1 Bûtan ngultrum foel hjoed troch -0.074871 Yen hjoed neffens wikselkoers fan 'e liedende bank fan it lân.\n1.65 JPY 8.25 JPY 16.50 JPY 41.24 JPY 82.48 JPY 164.95 JPY 412.38 JPY 824.76 JPY\n6.06 Bûtan ngultrum hjoed kost 10 JPY by de útwikseling taryf. 30.31 Bûtan ngultrum hjoed kost 50 JPY by de útwikseling taryf. 100 Yen tsjin de wikselkoers binne 60.62 Bûtan ngultrum. 250 Yen are now 151.56 Bûtan ngultrum. Bûtan ngultrum wikselkoers falt hjoed tsjin Yen. De kosten fan 1 Bûtan ngultrum hjoed binne 1.65 Yen, lykas de nasjonale bank fan it lân oprjochte .\n6.06 BTN 30.31 BTN 60.62 BTN 151.56 BTN 303.12 BTN 606.24 BTN 1 515.60 BTN 3 031.20 BTN


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de Rettferdiges Strid: Kautokeino 1852: Samisk Motstand Mot Norsk Kolonialisme by Nellejet Zorgdrager — Reviews, Discussion, Bookclubs, Lists\nStart by marking “de Rettferdiges Strid: Kautokeino 1852: Samisk Motstand Mot Norsk Kolonialisme” as Want to Read:\nde Rettferdiges Strid:...\nde Rettferdiges Strid by Nellejet Zorgdrager.\nPreview — de Rettferdiges Strid\nby Nellejet Zorgdrager\nde Rettferdiges Strid: Kautokeino 1852: Samisk Motstand Mot Norsk Kolonialisme\nby Vett & Viten AS\nde Rettferdiges Strid,\nBe the first to ask a question about de Rettferdiges Strid\nThis book is an excellent source for the uprising in Kautokeino and covers all possible written sources about the event which lead to the killing of the people in Kautokeino and the beheading of the culprits.This is the correct cover http://i.imgur.com/XP7m5SZ.jpg to this book. flag\nde Rettferdiges Strid: Kautokeino 1852: Samisk Motstand Mot Norsk KolonialismeGoodreads rating: 5.00 (1 ratings)\n[url=http://www.goodreads.com/book/show/15427034-de-rettferdiges-strid?utm_medium=api&utm_source=blog_book]de Rettferdiges Strid: Kautokeino 1852: Samisk Motstand Mot Norsk Kolonialisme by Nellejet Zorgdrager[/url]\nTrivia About de Rettferdiges S...


Infotainment Factory: NBA rookie's incredible heartwarming gesture to young fan\nHome Sports NBA rookie's incredible heartwarming gesture to young fan\nNBA rookie's incredible heartwarming gesture to young fan\nUnknown 02:07 Sports,\nDallas Mavericks rookie Luka Doncic has shown his classy side in a terrific exchange with a young fan that he ran into during the loss to the Golden State Warriors.\nWith the Mavericks trailing the reigning NBA Champions in the third quarter, Doncic was attempting to finish a layup when Draymond Green's attempted block sent the Slovenian tumbling into the crowd.\nAfter the 6'8" forward collided with the fan sitting under the basket, he incredibly ignored the play developing on the other side of the court, instead focusing his attention on the injured young fan.\nFollowing the collision, Doncic was ruled out of the remainder of the game with a hip injury, but is unlikely to miss any time going forward.\nDoncic went a step further after the game, handing the youngster a signed number 77 jersey of his that is sure to be worth a lot of money as Doncic's develops.\nAfter being drafted with the fifth overall pick of the 2018 NBA Draft, the 19-year-old Doncic has taken the NBA by storm.\n30 games into his NBA career, the Slovenian star is averaging 18.8 points, 6.5 rebounds and 4.9 assists per game on 43.5 percent shooting from the field (36.7 percent on threes).\nDoncic's all-round game has drawn comparisons to four-time MVP LeBron James, and his stats through the early part of his career look eerily similar to James'.


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Hope. Dreams. Life... Love: Hymns of the West Book #2\nThank you for hosting me today, Elaine!


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Kollum Gerard de Jong: Influencers - Stichting Bildts Aigene\nKollum Gerard de Jong: Influencers\n’n Dútser die’t op TikTok an 420.000 folgers sien laat fan hoe’t hij skildert. ’n Roemeense vlogger met hest 290.000 folgers. ’n Nederlâns maisy dat 110.000 folgers ôns lând sien laat. De groep influencers die’t hier ’n week lang waar op útnoadiging fan de European Influencers Academy beston út jongeloi, faak tieners nag.\nIk waar froegen om op de Swarte Haan wat te fertellen over ’t ontstaan fan ’t Bildt, de taal, ’t striidteneel fan netuur en landbou. Se waren niet na Frysland kommen om hur duckface te perfeksjoneren, maar pakten om met groate thema’s as klimaatferândering, nepnijs en filterbubbels.\nIk kin mij niet foorstelle hoe’t ’t is om je as 18-jarige dâg in, dâg út an hondertdúzzenden mînsen te toanen. Wat toane je, en wat niet? Welke ferzy fan jesels late je sien? Komt ’t wel goed met de jeugd? Ik foelde mij soawel oud as oplucht bij de gedachte an ’t make motten fan dat soort keuzes.\nDos maakte de moeting mij selsbewust. ’n Popy-jopy shirt antrekke en d’r sjofel bijlope? Ni, nooit as ouwe sak pretindere een fan hur te wezen. ’n Band-shirt fan Steely Dan, dat\n’n parody is op ’n Sonic Youth shirt, aigentiids iroanys. Se souwen de bands niet kinne, al docht ik ok: ‘Werom gaan ik d’r fanút dat sij Steely Dan of Sonic Youth niet kinne?’.\nUtaindlik trok ik gewoan maar ’t lichtblauwe bloesy met kleurrike roazen út de kas. Represintabel maar frifoal; korte mouwen, maar sonder d’r as ’n ferdwaalde toerist op aigen booiem út te sien.\n‘In ’e broek, of los?’, froeg ik Mirjam.\n‘Niet soa mipe’, saai se. ‘Atst ’m los wilst, doest ’m los. En âns stopst ’m d’r bij in.’\nDe son skeen optimistys op de Swarte Haan, de wyn houde de ankondigde boien nag even boven ’t Wad. Over de Nije-Dyk kwam de bus met de tien influencers, en in hur bústillefoans nag ’s ’n half miljoen paar ogen. Ik stelde mij bij de busdeur op en groette de nag wat sluge jongeren doe’t se foet op de Bildtse klaai setten.\n‘Nice shirt!’, saai ’n maisy drekt doe’t se de bus útstapte en mij de hând gâf.\n’t Komt wel goed met de jeugd.\nBron: Leeuwarder Courant, Gerard de Jong, 14-06-2022\n← Kollum kursisten (6): Marten DijkstraKollum Gerard de Jong: Fuur →


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(I use the fancontroller made by MSI for my motherboard on windows, which works for me, but is considered malware by others :) )\nV1.5: +1.58 V (min = +1.42 V, max = +1.58 V)\nVCore: +1.25 V (min = +1.76 V, max = +1.95 V) ALARM\nV3.3: +3.33 V (min = +3.13 V, max = +3.47 V)\nV5: +5.10 V (min = +4.74 V, max = +5.26 V)\nV12: +12.19 V (min = +11.38 V, max = +12.62 V)\nCPU_Fan: 5268 RPM (min = 1000 RPM)\nCPU: +39Â°C (low = +10Â°C, high = +60Â°C)\nBoard: +30Â°C (low = +10Â°C, high = +35Â°C)\nRemote: +34Â°C (low = +10Â°C, high = +35Â°C)\nI understand there are situations where my fan would need to run near 5300 RPM, but the baby in the next room does need to sleep. Anyone have any ideas?\n0-002e/fan1_input current speed: 5227 RPM\n0-002e/fan2_input current speed: 0 ... skipping!\n0-002e/fan3_input current speed: 0 ... skipping!\n0-002e/fan4_input current speed: 0 ... skipping!\nVCore 1: +1.65 V (min = +4.08 V, max = +4.08 V) ALARM\nVCore 2: +2.50 V (min = +4.08 V, max = +4.08 V) ALARM\n+3.3V: +6.40 V (min = +8.16 V, max = +8.16 V) ALARM\n+5V: +4.78 V (min = +6.85 V, max = +6.85 V) ALARM\n+12V: +12.22 V (min = +16.32 V, max = +16.32 V) ALARM\n-12V: -1.71 V (min = +3.93 V, max = +3.93 V) ALARM\n-5V: +2.36 V (min = +4.03 V, max = +4.03 V) ALARM\nStdby: +4.95 V (min = +6.85 V, max = +6.85 V) ALARM\nfan1: 3515 RPM (min = 0 RPM, div = 8)\nM/B Temp: +36°C (low = -1°C, high = -1°C) sensor = thermistor\nCPU Temp: +43°C (low = -1°C, high = -1°C) sensor = thermistor\nTemp3: +44°C (low = -1°C, high = -1°C) sensor = thermistor


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