Add Processor To Compare: 563 Processors With Sufficient Data CollectedAMD A4-6300 APUAMD A6-3410MX APUAMD A6-5400K APUAMD A6-7400K Radeon R5 6 Compute Cores 2CAMD A8-3870 APUAMD A8-5600K APUAMD A8-7600 Radeon R7 10 Compute Cores 4CAMD A10-5800K APUAMD A10-6700 APUAMD A10-7850K APUAMD A10-7850K APU with Radeon R7AMD A10-7850K Radeon R7 12 Compute Cores 4CAMD A10-7870K Radeon R7 12 Compute Cores 4CAMD Athlon 200GEAMD Athlon 3000GAMD Athlon 5150 APU with Radeon R3AMD Athlon 5350 APU with Radeon R3AMD Athlon II X2 250AMD Athlon II X3 425AMD Athlon II X4 630AMD Athlon II X4 640AMD Athlon X4 860K Quad CoreAMD Custom APU 0405AMD E-350AMD EPYC 7F32 8-CoreAMD EPYC 7F32 8-Core 2PAMD EPYC 7F52 16-CoreAMD EPYC 7F52 16-Core 2PAMD EPYC 7F72 24-CoreAMD EPYC 7F72 24-Core 2PAMD EPYC 72F3 8-CoreAMD EPYC 73F3 16-CoreAMD EPYC 73F3 16-Core 2PAMD EPYC 74F3 24-CoreAMD EPYC 74F3 24-Core 2PAMD EPYC 75F3 32-CoreAMD EPYC 75F3 32-Core 2PAMD EPYC 3255 8-Core TempAMD EPYC 7232P 8-CoreAMD EPYC 7251 8-CoreAMD EPYC 7252 8-CoreAMD EPYC 7252 8-Core 2PAMD EPYC 7262 8-CoreAMD EPYC 7262 8-Core 2PAMD EPYC 7272 12-CoreAMD EPYC 7272 12-Core 2PAMD EPYC 7281 16-CoreAMD EPYC 7282 16-CoreAMD EPYC 7282 16-Core 2PAMD EPYC 7302 16-CoreAMD EPYC 7302 16-Core 2PAMD EPYC 7302P 16-CoreAMD EPYC 7313 16-CoreAMD EPYC 7313 16-Core 2PAMD EPYC 7343 16-CoreAMD EPYC 7343 16-Core 2PAMD EPYC 7351P 16-CoreAMD EPYC 7352 24-CoreAMD EPYC 7352 24-Core 2PAMD EPYC 7371 16-CoreAMD EPYC 7371 16-Core 2PAMD EPYC 7373X 16-Core 2PAMD EPYC 7401P 24-CoreAMD EPYC 7402 24-CoreAMD EPYC 7402 24-Core 2PAMD EPYC 7402P 24-CoreAMD EPYC 7413 24-CoreAMD EPYC 7413 24-Core 2PAMD EPYC 7443 24-CoreAMD EPYC 7443 24-Core 2PAMD EPYC 7452 32-CoreAMD EPYC 7452 32-Core 2PAMD EPYC 7453 28-CoreAMD EPYC 7453 28-Core 2PAMD EPYC 7473X 24-CoreAMD EPYC 7502 32-CoreAMD EPYC 7502 32-Core 2PAMD EPYC 7502P 32-CoreAMD EPYC 7513 32-Core 2PAMD EPYC 7532 32-CoreAMD EPYC 7532 32-Core 2PAMD EPYC 7542 32-CoreAMD EPYC 7542 32-Core 2PAMD EPYC 7543 32-CoreAMD EPYC 7543 32-Core 2PAMD EPYC 7551 32-CoreAMD EPYC 7551 32-Core 2PAMD EPYC 7551P 32-CoreAMD EPYC 7552 48-CoreAMD EPYC 7552 48-Core 2PAMD EPYC 7573X 32-CoreAMD EPYC 7573X 32-Core 2PAMD EPYC 7601 32-CoreAMD EPYC 7601 32-Core 2PAMD EPYC 7642 48-CoreAMD EPYC 7642 48-Core 2PAMD EPYC 7643 48-CoreAMD EPYC 7643 48-Core 2PAMD EPYC 7662 64-CoreAMD EPYC 7663 56-Core 2PAMD EPYC 7702 64-CoreAMD EPYC 7702 64-Core 2PAMD EPYC 7702P 64-CoreAMD EPYC 7713 64-CoreAMD EPYC 7713 64-Core 2PAMD EPYC 7742 64-CoreAMD EPYC 7742 64-Core 2PAMD EPYC 7763 64-CoreAMD EPYC 7763 64-Core 2PAMD EPYC 7773X 64-CoreAMD EPYC 7773X 64-Core 2PAMD FX-4100AMD FX-6300 Six-CoreAMD FX-6350 Six-CoreAMD FX-8120 Eight-CoreAMD FX-8150 Eight-CoreAMD FX-8300 Eight-CoreAMD FX-8320 Eight-CoreAMD FX-8320E Eight-CoreAMD FX-8350 Eight-CoreAMD FX-8370 Eight-CoreAMD FX-8370E Eight-CoreAMD FX-9590 Eight-CoreAMD Opteron 6272 2PAMD Opteron 8378 4PAMD Phenom II X2 560AMD Phenom II X4 955AMD Phenom II X4 B55AMD Phenom II X6 1055TAMD Phenom II X6 1090TAMD Phenom II X6 1100TAMD PRO A12-9800 R7 12 COMPUTE CORES 4CAMD Ryzen 3 1200AMD Ryzen 3 1300XAMD Ryzen 3 2200GAMD Ryzen 3 2200G with Radeon VegaAMD Ryzen 3 3100 4-CoreAMD Ryzen 3 3200GAMD Ryzen 3 3200UAMD Ryzen 3 3300X 4-CoreAMD Ryzen 3 PRO 4350GAMD Ryzen 5 1500XAMD Ryzen 5 1600 Six-CoreAMD Ryzen 5 1600X Six-CoreAMD Ryzen 5 2400GAMD Ryzen 5 2400G with Radeon VegaAMD Ryzen 5 2600 Six-CoreAMD Ryzen 5 2600X Six-CoreAMD Ryzen 5 3400GAMD Ryzen 5 3500UAMD Ryzen 5 3500X 6-CoreAMD Ryzen 5 3550HAMD Ryzen 5 3600 6-CoreAMD Ryzen 5 3600X 6-CoreAMD Ryzen 5 3600XT 6-CoreAMD Ryzen 5 4500UAMD Ryzen 5 5500AMD Ryzen 5 5500UAMD Ryzen 5 5600GAMD Ryzen 5 5600X 6-CoreAMD Ryzen 5 PRO 3600 6-CoreAMD Ryzen 5 PRO 4650GAMD Ryzen 7 1700 Eight-CoreAMD Ryzen 7 1700X Eight-CoreAMD Ryzen 7 1800X Eight-CoreAMD Ryzen 7 2700 Eight-CoreAMD Ryzen 7 2700UAMD Ryzen 7 2700X Eight-CoreAMD Ryzen 7 3700X 8-CoreAMD Ryzen 7 3800X 8-CoreAMD Ryzen 7 3800XT 8-CoreAMD Ryzen 7 4700UAMD Ryzen 7 4800HAMD Ryzen 7 4800UAMD Ryzen 7 5700GAMD Ryzen 7 5800X3D 8-CoreAMD Ryzen 7 5800X 8-CoreAMD Ryzen 7 PRO 3700 8-CoreAMD Ryzen 7 PRO 4750GAMD Ryzen 7 PRO 4750UAMD Ryzen 7 PRO 5850UAMD Ryzen 9 3900X 12-CoreAMD Ryzen 9 3900XT 12-CoreAMD Ryzen 9 3950X 16-CoreAMD Ryzen 9 5900HXAMD Ryzen 9 5900X 12-CoreAMD Ryzen 9 PRO 3900 12-CoreAMD Ryzen Threadripper 1920X 12-CoreAMD Ryzen Threadripper 1950X 16-CoreAMD Ryzen Threadripper 2920X 12-CoreAMD Ryzen Threadripper 2950X 16-CoreAMD Ryzen Threadripper 2970WX 24-CoreAMD Ryzen Threadripper 2990WX 32-CoreAMD Ryzen Threadripper 3960X 24-CoreAMD Ryzen Threadripper 3970X 32-CoreAMD Ryzen Threadripper 3990X 64-CoreAMD Ryzen Threadripper PRO 3955WX 16-CoresAMD Ryzen Threadripper PRO 3975WX 32-CoresAmpere Altra ARMv8 Neoverse-N1 160-CoreAmpere ARMv8 Neoverse-N1 256-CoreAmpere eMAG ARMv8 32-CoreApple M1ARMv7 4-CoreARMv7 Cortex-A15 8-CoreARMv7 Cortex-A53 4-CoreARMv7 Cortex-A72 4-CoreARMv8 Cortex-A53 4-CoreARMv8 Cortex-A57 4-CoreARMv8 Cortex-A57 6-CoreARMv8 Cortex-A72 4-CoreARMv8 Cortex-A72 6-CoreARMv8 Cortex-A72 16-CoreARMv8 Cortex-A73 6-CoreARMv8 Cortex-A73 8-CoreARMv8 Neoverse-N1 8-CoreARMv8 Neoverse-N1 32-CoreARMv8 Neoverse-N1 64-CoreIntel Atom C2750Intel Atom C3950Intel Atom C3958Intel Atom E3845Intel Atom N2600Intel Atom x5-Z8350Intel Atom x6425REIntel Celeron G5900Intel Celeron G6900Intel Celeron J1900Intel Celeron J3455Intel Celeron N2820Intel Celeron N3050Intel Celeron N3450Intel Core 2 6300Intel Core 2 6400Intel Core 2 Duo E8400Intel Core 2 Duo P7350Intel Core 2 Duo P8600Intel Core 2 Duo P8700Intel Core 2 Duo T7100Intel Core 2 Duo T7250Intel Core 2 Extreme Q9300Intel Core 2 Quad Q6600Intel Core 2 Quad Q8400Intel Core 2 Quad Q9400Intel Core 2 Quad Q9550Intel Core i3 370MIntel Core i3 380UIntel Core i3-2100Intel Core i3-2120Intel Core i3-3110MIntel Core i3-3217UIntel Core i3-3220Intel Core i3-4130Intel Core i3-5005UIntel Core i3-5010UIntel Core i3-7100Intel Core i3-7100UIntel Core i3-8100Intel Core i3-8100TIntel Core i3-9100Intel Core i3-9100FIntel Core i3-10100Intel Core i3-10105Intel Core i3-10110UIntel Core i3-12100Intel Core i5 520MIntel Core i5 650Intel Core i5-1135G7Intel Core i5-1145G7Intel Core i5-2400Intel Core i5-2400SIntel Core i5-2410MIntel Core i5-2430MIntel Core i5-2500Intel Core i5-2500KIntel Core i5-2520MIntel Core i5-3210MIntel Core i5-3230MIntel Core i5-3320MIntel Core i5-3360MIntel Core i5-3470Intel Core i5-3570Intel Core i5-3570KIntel Core i5-4210UIntel Core i5-4250UIntel Core i5-4278UIntel Core i5-4440Intel Core i5-4460Intel Core i5-4590Intel Core i5-4670Intel Core i5-4670KIntel Core i5-4690Intel Core i5-4690KIntel Core i5-5200UIntel Core i5-5300UIntel Core i5-6200UIntel Core i5-6260UIntel Core i5-6300UIntel Core i5-6500Intel Core i5-6600Intel Core i5-6600KIntel Core i5-7200UIntel Core i5-7500Intel Core i5-7600KIntel Core i5-8250UIntel Core i5-8265UIntel Core i5-8400Intel Core i5-8500Intel Core i5-9400FIntel Core i5-9500Intel Core i5-10210UIntel Core i5-10500EIntel Core i5-10600KIntel Core i5-11600KIntel Core i5-12400Intel Core i5-12600KIntel Core i7Intel Core i7 720QIntel Core i7 740QIntel Core i7 920Intel Core i7 950Intel Core i7 990XIntel Core i7-1065G7Intel Core i7-1165G7Intel Core i7-1185G7Intel Core i7-1185GREIntel Core i7-1280PIntel Core i7-2600Intel Core i7-2600KIntel Core i7-2630QMIntel Core i7-2670QMIntel Core i7-2700KIntel Core i7-3517UIntel Core i7-3517UEIntel Core i7-3520MIntel Core i7-3615QMIntel Core i7-3630QMIntel Core i7-3632QMIntel Core i7-3770Intel Core i7-3770KIntel Core i7-3820Intel Core i7-3930KIntel Core i7-3960XIntel Core i7-4558UIntel Core i7-4600UIntel Core i7-4700HQIntel Core i7-4700MQIntel Core i7-4720HQIntel Core i7-4770Intel Core i7-4770KIntel Core i7-4790Intel Core i7-4790KIntel Core i7-4930KIntel Core i7-4960XIntel Core i7-5500UIntel Core i7-5557UIntel Core i7-5600UIntel Core i7-5775CIntel Core i7-5820KIntel Core i7-5930KIntel Core i7-5960XIntel Core i7-6500UIntel Core i7-6700Intel Core i7-6700HQIntel Core i7-6700KIntel Core i7-6800KIntel Core i7-6820HQIntel Core i7-7500UIntel Core i7-7600UIntel Core i7-7700Intel Core i7-7700HQIntel Core i7-7700KIntel Core i7-7700TIntel Core i7-7740KIntel Core i7-7800XIntel Core i7-7820XIntel Core i7-7900XIntel Core i7-8086KIntel Core i7-8550UIntel Core i7-8565UIntel Core i7-8650UIntel Core i7-8700Intel Core i7-8700BIntel Core i7-8700KIntel Core i7-8750HIntel Core i7-8850HIntel Core i7-9700KIntel Core i7-9700TEIntel Core i7-9750HIntel Core i7-9850HIntel Core i7-10510UIntel Core i7-10610UIntel Core i7-10700TIntel Core i7-10750HIntel Core i7-10875HIntel Core i7-11700KIntel Core i7-11800HIntel Core i7-12700KIntel Core i9-7920XIntel Core i9-7960XIntel Core i9-7980XEIntel Core i9-9900KIntel Core i9-9900KSIntel Core i9-10850KIntel Core i9-10885HIntel Core i9-10900KIntel Core i9-10980XEIntel Core i9-11900KIntel Core i9-11980HKIntel Pentium 4Intel Pentium D1517Intel Pentium Dual E2220Intel Pentium G3220Intel Pentium G3258Intel Pentium G3260Intel Pentium G4400Intel Pentium G4560Intel Pentium G4600Intel Pentium Gold G5400Intel Pentium Gold G6400Intel Pentium Silver J5005Intel Xeon D-2183ITIntel Xeon E-2278GIntel Xeon E-2278GELIntel Xeon E-2286MIntel Xeon E-2288GIntel Xeon E-2388GIntel Xeon E3-1220 v3Intel Xeon E3-1225 v6Intel Xeon E3-1230 V2Intel Xeon E3-1231 v3Intel Xeon E3-1235L v5Intel Xeon E3-1240 v5Intel Xeon E3-1245 v5Intel Xeon E3-1260L v5Intel Xeon E3-1270 v5Intel Xeon E3-1275 v5Intel Xeon E3-1275 v6Intel Xeon E3-1280 v5Intel Xeon E3-1505M v6Intel Xeon E5-26xx v3 4PIntel Xeon E5-1620 v3Intel Xeon E5-1650 v2Intel Xeon E5-1650 v4Intel Xeon E5-1680 v3Intel Xeon E5-2403 v2 2PIntel Xeon E5-2450L 0 2PIntel Xeon E5-2603 v2 2PIntel Xeon E5-2609 v4Intel Xeon E5-2620 0Intel Xeon E5-2620 0 2PIntel Xeon E5-2620 v2 2PIntel Xeon E5-2620 v3Intel Xeon E5-2620 v3 2PIntel Xeon E5-2620 v4 2PIntel Xeon E5-2630 0 2PIntel Xeon E5-2630 v3 2PIntel Xeon E5-2630 v4 2PIntel Xeon E5-2637 v4 2PIntel Xeon E5-2640 v3 2PIntel Xeon E5-2640 v4Intel Xeon E5-2643 0 2PIntel Xeon E5-2643 v3 2PIntel Xeon E5-2650 v2 2PIntel Xeon E5-2650 v3 2PIntel Xeon E5-2650 v4 2PIntel Xeon E5-2658 v2 2PIntel Xeon E5-2660 0 2PIntel Xeon E5-2660 v3 2PIntel Xeon E5-2665 0 2PIntel Xeon E5-2667 0 2PIntel Xeon E5-2667 v3 2PIntel Xeon E5-2667 v4Intel Xeon E5-2670 0 2PIntel Xeon E5-2680 0 2PIntel Xeon E5-2680 v2 2PIntel Xeon E5-2680 v3 2PIntel Xeon E5-2683 v4 2PIntel Xeon E5-2687W v3Intel Xeon E5-2690 0 2PIntel Xeon E5-2690 v2 2PIntel Xeon E5-2690 v3 2PIntel Xeon E5-2690 v4 2PIntel Xeon E5-2697 v3 2PIntel Xeon E5-2699 v3 2PIntel Xeon E5-4650 0 4PIntel Xeon E312xxIntel Xeon E5420 2PIntel Xeon E5506 2PIntel Xeon E5530 2PIntel Xeon E5540 2PIntel Xeon E5620 2PIntel Xeon E5645 2PIntel Xeon E5649 2PIntel Xeon Gold 5117 2PIntel Xeon Gold 5118 2PIntel Xeon Gold 5217Intel Xeon Gold 5218Intel Xeon Gold 5218RIntel Xeon Gold 5218R 2PIntel Xeon Gold 5220RIntel Xeon Gold 5220R 2PIntel Xeon Gold 5222 2PIntel Xeon Gold 6138Intel Xeon Gold 6138 2PIntel Xeon Gold 6140 2PIntel Xeon Gold 6210UIntel Xeon Gold 6212UIntel Xeon Gold 6226RIntel Xeon Gold 6226R 2PIntel Xeon Gold 6230 2PIntel Xeon Gold 6230RIntel Xeon Gold 6230R 2PIntel Xeon Gold 6238RIntel Xeon Gold 6248R 2PIntel Xeon Gold 6250Intel Xeon Gold 6250 2PIntel Xeon Gold 6254 2PIntel Xeon Gold 6258RIntel Xeon Gold 6258R 2PIntel Xeon Gold 6312UIntel Xeon L5420 2PIntel Xeon Platinum 8124MIntel Xeon Platinum 8168 2PIntel Xeon Platinum 8175M 2PIntel Xeon Platinum 8252C 2PIntel Xeon Platinum 8253Intel Xeon Platinum 8259CLIntel Xeon Platinum 8259CL 2PIntel Xeon Platinum 8259L 2PIntel Xeon Platinum 8268 2PIntel Xeon Platinum 8272CL 2PIntel Xeon Platinum 8280Intel Xeon Platinum 8280 2PIntel Xeon Platinum 8380Intel Xeon Platinum 8380 2PIntel Xeon Silver 4108Intel Xeon Silver 4110 2PIntel Xeon Silver 4114 2PIntel Xeon Silver 4210 2PIntel Xeon Silver 4210RIntel Xeon Silver 4210R 2PIntel Xeon Silver 4214 2PIntel Xeon Silver 4214RIntel Xeon Silver 4214R 2PIntel Xeon Silver 4215RIntel Xeon Silver 4215R 2PIntel Xeon Silver 4216Intel Xeon Silver 4216 2PIntel Xeon W-2123Intel Xeon W-2295Intel Xeon W3530Intel Xeon X5550 2PIntel Xeon X5650 2PIntel Xeon X5670 2PIntel Xeon X5675 2PIntel Xeon X5680 2PMobile AMD Sempron 3500Phytium FT-2000POWER9 4-CorePOWER9 44-CorePOWER9 altivec supported 44-CorePOWER9 altivec supported 64-CoreRockchip ARMv8 Cortex-A72 6-Core\nOpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult CompositeAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core61218243023.8419.3317.81\nAMD EPYC 7373X 16-Core had the most wins, coming in first place for 40% of the tests.\nBased on the geometric mean of all complete results, the fastest (AMD EPYC 7373X 16-Core) was 1.339x the speed of the slowest (AMD Ryzen 9 5950X 16-Core). Intel Core i9-12900K was 0.811x the speed of AMD EPYC 7373X 16-Core and AMD Ryzen 9 5950X 16-Core was 0.921x the speed of Intel Core i9-12900K.\nThe results with the greatest spread from best to worst included: miniFE (Problem Size: Small) at 5.342x, ONNX Runtime (Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel) at 4.231x, ASKAP (Test: tConvolve MPI - Degridding) at 2.903x, ONNX Runtime (Model: GPT-2 - Device: CPU - Executor: Standard) at 2.387x, ONNX Runtime (Model: yolov4 - Device: CPU - Executor: Parallel) at 2.139x, Java JMH (Throughput) at 1.949x, oneDNN (Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU) at 1.83x, oneDNN (Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU) at 1.824x, oneDNN (Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU) at 1.795x, Mlpack Benchmark (Benchmark: scikit_svm) at 1.762x.\nOpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 21.06Test: Decompression RatingAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K30K60K90K120K150KSE +/- 1184.62, N = 55SE +/- 537.09, N = 3SE +/- 1097.36, N = 5913923112769793627\nOpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K246810SE +/- 0.114, N = 47SE +/- 0.103, N = 6SE +/- 0.094, N = 208.8307.9705.880\nOpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core15003000450060007500SE +/- 3.63, N = 5SE +/- 74.95, N = 15SE +/- 0.41, N = 2571862030786\nOpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core2K4K6K8K10KSE +/- 29.92, N = 5SE +/- 98.60, N = 15SE +/- 27.68, N = 26984128131375\nOpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K2K4K6K8K10KSE +/- 133.51, N = 7SE +/- 30.93, N = 16SE +/- 62.72, N = 101143366773939\nOpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K3K6K9K12K15KSE +/- 113.39, N = 7SE +/- 65.44, N = 16SE +/- 107.80, N = 101495367094193\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Classroom - Compute: CPU-OnlyAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900KAMD EPYC 7373X 16-Core50100150200250SE +/- 4.11, N = 26SE +/- 1.63, N = 28SE +/- 0.34, N = 8203212213\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Fishy Cat - Compute: CPU-OnlyAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K20406080100SE +/- 1.64, N = 35SE +/- 0.17, N = 7SE +/- 0.66, N = 28101104111\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K60120180240300SE +/- 2.62, N = 27SE +/- 0.42, N = 7SE +/- 1.23, N = 29243261264\nOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Barbershop - Compute: CPU-OnlyAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K2004006008001000SE +/- 13.31, N = 23SE +/- 1.54, N = 7SE +/- 8.19, N = 23776818870\nOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core9K18K27K36K45KSE +/- 554.18, N = 6SE +/- 633.79, N = 15SE +/- 94.05, N = 5263463831239924\nOpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core20K40K60K80K100KSE +/- 1652.12, N = 6SE +/- 2032.50, N = 15SE +/- 186.75, N = 571484100613109672\nOpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core306090120150SE +/- 0.05, N = 5SE +/- 0.08, N = 4SE +/- 2.87, N = 1717.7064.00131.00\nOpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core30060090012001500SE +/- 0.89, N = 5SE +/- 35.73, N = 12SE +/- 5.69, N = 3012031153936\nOpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core30060090012001500SE +/- 53.52, N = 12SE +/- 7.34, N = 16SE +/- 0.73, N = 5155315161157\nOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K612182430SE +/- 0.21, N = 3SE +/- 0.09, N = 35SE +/- 0.38, N = 2425.2024.7020.80\nOpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core612182430SE +/- 0.35, N = 28SE +/- 0.05, N = 35SE +/- 0.08, N = 323.5023.2022.90\nOpenBenchmarking.orgOps/s, More Is BetterJava JMHThroughputIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core11000M22000M33000M44000M55000MSE +/- 272674109.90, N = 3SE +/- 106464086.34, N = 4SE +/- 55899753.19, N = 5522997592982920181175726837339924\nOpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K3691215SE +/- 0.090, N = 14SE +/- 0.053, N = 7SE +/- 0.425, N = 413.24012.0609.420\nOpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core5K10K15K20K25KSE +/- 76.68, N = 5SE +/- 7.51, N = 4SE +/- 0.61, N = 62151391454027\nOpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core510152025SE +/- 0.34, N = 3SE +/- 0.04, N = 23SE +/- 0.03, N = 310.9016.4019.20\nOpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsIntel Core i9-12900KAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-Core0.24390.48780.73170.97561.2195SE +/- 0.01245, N = 47SE +/- 0.00134, N = 3SE +/- 0.00231, N = 790.850001.040001.08000\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core20K40K60K80K100KSE +/- 420.31, N = 6SE +/- 2877.36, N = 4SE +/- 111.14, N = 27805124128824286\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core7K14K21K28K35KSE +/- 186.22, N = 6SE +/- 522.21, N = 4SE +/- 37.40, N = 283119576906944\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K400800120016002000SE +/- 5.75, N = 33SE +/- 2.21, N = 5SE +/- 56.06, N = 4187115761502\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K400800120016002000SE +/- 10.91, N = 15SE +/- 4.79, N = 5SE +/- 51.41, N = 4185715751489\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core9K18K27K36K45KSE +/- 86.10, N = 5SE +/- 861.69, N = 4SE +/- 60.26, N = 27441491938112269\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core5001000150020002500SE +/- 28.55, N = 6SE +/- 25.16, N = 3SE +/- 14.37, N = 1721461127661\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core20K40K60K80K100KSE +/- 449.30, N = 6SE +/- 2531.87, N = 4SE +/- 239.60, N = 301045384178728202\nOpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core12K24K36K48K60KSE +/- 1420.48, N = 6SE +/- 1432.03, N = 4SE +/- 40.72, N = 28552661975610009\nOpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K12002400360048006000SE +/- 20.09, N = 4SE +/- 69.59, N = 7SE +/- 212.28, N = 16505155685816\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core0.84721.69442.54163.38884.236SE +/- 0.00346, N = 3SE +/- 0.00288, N = 6SE +/- 0.17769, N = 81.840002.640003.77000\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K0.23880.47760.71640.95521.194SE +/- 0.00307, N = 6SE +/- 0.02742, N = 3SE +/- 0.00546, N = 50.820000.910001.06000\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K0.19410.38820.58230.77640.9705SE +/- 0.00458, N = 5SE +/- 0.00523, N = 6SE +/- 0.01402, N = 50.480000.500000.86000\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K246810SE +/- 0.16099, N = 7SE +/- 0.20497, N = 5SE +/- 0.11470, N = 54.680006.510008.33000\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K0.30340.60680.91021.21361.517SE +/- 0.00477, N = 5SE +/- 0.05602, N = 3SE +/- 0.00280, N = 51.080001.210001.35000\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K6001200180024003000SE +/- 14.24, N = 5SE +/- 126.12, N = 7SE +/- 1.04, N = 6181227052881\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core400800120016002000SE +/- 16.51, N = 3SE +/- 0.45, N = 6SE +/- 91.83, N = 7100316141792\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K6001200180024003000SE +/- 14.87, N = 5SE +/- 35.77, N = 6SE +/- 0.82, N = 6182228522882\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core400800120016002000SE +/- 2.92, N = 5SE +/- 0.96, N = 6SE +/- 27.82, N = 6102116151868\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K6001200180024003000SE +/- 8.54, N = 5SE +/- 37.48, N = 6SE +/- 0.72, N = 6183128622882\nOpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core400800120016002000SE +/- 3.56, N = 3SE +/- 2.34, N = 6SE +/- 24.01, N = 5103016191879\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core2K4K6K8K10KSE +/- 18.26, N = 6SE +/- 61.98, N = 9SE +/- 27.64, N = 5806954075328\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core4K8K12K16K20KSE +/- 257.79, N = 5SE +/- 10.62, N = 15SE +/- 124.26, N = 816995110777121\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-Core140280420560700SE +/- 0.93, N = 5SE +/- 1.15, N = 3SE +/- 0.21, N = 6631463295\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core150300450600750SE +/- 3.89, N = 15SE +/- 17.68, N = 6SE +/- 19.97, N = 5679492402\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-Core2004006008001000SE +/- 7.76, N = 5SE +/- 3.43, N = 5SE +/- 17.70, N = 7936770568\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core20406080100SE +/- 0.00, N = 5SE +/- 3.29, N = 7SE +/- 0.58, N = 31119288\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K30060090012001500SE +/- 23.63, N = 7SE +/- 1.45, N = 3SE +/- 0.45, N = 515361375363\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core400800120016002000SE +/- 10.85, N = 16SE +/- 81.48, N = 8SE +/- 22.66, N = 3194717051492\nOpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: ParallelAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K14002800420056007000SE +/- 140.94, N = 8SE +/- 24.02, N = 5SE +/- 11.58, N = 6659250884501\nOpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core20406080100SE +/- 0.01, N = 5SE +/- 2.56, N = 6SE +/- 1.56, N = 2927.0092.0095.00\nOpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096AMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K10002000300040005000SE +/- 15.91, N = 41SE +/- 6.74, N = 3SE +/- 52.33, N = 35483643404096\nOpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096AMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K70K140K210K280K350KSE +/- 979.15, N = 42SE +/- 355.98, N = 3SE +/- 3440.19, N = 36315631282680267475\nOpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: particle_volume/scivis/real_timeIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core714212835SE +/- 0.03, N = 4SE +/- 0.03, N = 10SE +/- 0.05, N = 528.2025.2024.60\nOpenBenchmarking.orgItems Per Second, More Is BetterOSPray 2.9Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core0.86311.72622.58933.45244.3155SE +/- 0.08827, N = 4SE +/- 0.00506, N = 9SE +/- 0.00754, N = 53.840003.060002.81000\nOpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP MRI GriddingIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core20406080100SE +/- 5.44, N = 4SE +/- 0.58, N = 9SE +/- 0.14, N = 5789697\nOpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K3691215SE +/- 0.03, N = 5SE +/- 0.26, N = 33SE +/- 0.18, N = 2611.3010.508.90\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core20K40K60K80K100KSE +/- 156.75, N = 15SE +/- 106.57, N = 54SE +/- 4.18, N = 58873494969108274\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core300K600K900K1200K1500KSE +/- 968.95, N = 15SE +/- 1859.34, N = 56SE +/- 396.01, N = 5126683813549021534562\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core30K60K90K120K150KSE +/- 204.59, N = 16SE +/- 200.27, N = 54SE +/- 339.77, N = 573113104980123257\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core15K30K45K60K75KSE +/- 66.00, N = 15SE +/- 52.29, N = 50SE +/- 80.91, N = 5592306275470466\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantIntel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core17K34K51K68K85KSE +/- 20.43, N = 16SE +/- 89.54, N = 53SE +/- 95.39, N = 5619986828777305\nOpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core300K600K900K1200K1500KSE +/- 1067.26, N = 15SE +/- 1571.00, N = 53SE +/- 744.53, N = 5114071312185201374502\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileIntel Core i9-12900KAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-Core60120180240300SE +/- 4.31, N = 20SE +/- 6.33, N = 6SE +/- 3.47, N = 24245251255\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: defconfigAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-CoreIntel Core i9-12900K1122334455SE +/- 0.40, N = 80SE +/- 0.64, N = 9SE +/- 0.43, N = 5647.8049.2050.30\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.16Build: allmodconfigAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K130260390520650SE +/- 7.85, N = 9SE +/- 6.99, N = 32SE +/- 8.71, N = 36593600623\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileAMD EPYC 7373X 16-CoreIntel Core i9-12900KAMD Ryzen 9 5950X 16-Core714212835SE +/- 0.53, N = 6SE +/- 0.42, N = 44SE +/- 0.22, N = 9326.9027.6029.80\nOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 17.3Time To CompileAMD EPYC 7373X 16-CoreAMD Ryzen 9 5950X 16-CoreIntel Core i9-12900K70140210280350SE +/- 6.00, N = 6SE +/- 5.63, N = 14SE +/- 5.39, N = 42271302332\nOpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2Intel Core i9-12900KAMD Ryzen 9 5950X 16-CoreAMD EPYC 7373X 16-Core60120180240300SE +/- 5.60, N = 20SE +/- 0.75, N = 49SE +/- 0.09, N = 3196225292


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Summe: 7743.00 Eur\nHotline: 0163-4554 324 enth. MwSt. (19%): 1237.22 Eur\nGesamt: 7748.90 Eur


Ferskil tusken ferzjes fan "Tjeerd Ritskes Velstra" - Wikipedy\nFerskil tusken ferzjes fan "Tjeerd Ritskes Velstra"\nTjeerd Ritskes Velstra (bewurkje)\nDe ferzje fan 28 des 2018 om 22.00\n368 bytes grutter , 2 jier lyn\nDe ferzje fan 28 des 2018 om 19.50 (wizigje)\nDe ferzje fan 28 des 2018 om 22.00 (wizigje) (weromsette)\n[[Ofbyld:Tjeerd Ritskes Velstra.jpg|thumb|''Tjeerd Ritskes Velstra''
\nFotograaf: Craije Azn., H.J., Ljouwert]]\n'''Tjeerd Ritskes Velstra''' ([[Lekkum]], [[10 novimber]] [] - [[Ljouwert (stêd)|Ljouwert]], [[8 maaie]] []) wie in [[Fryslân|Frysk]] heareboer, [[toanielskriuwer]] en [[dichter]] yn it [[Frysk]]. Velstra wie ferneamd troch syn moralistysk-romantyske stikjes dy't opfierd waarden troch it Ljouwerter Toanielselskip. In soad fan syn wurk ferskynde yn de [[Rimen en Teltsjes]] (1906 - 1911).\nTjeerd Velstra wie in soan fan skoalmaster Ritske Velstra dy't yn 1844 feehâlder ûnder [[Jelsum]] waard. Tjeerd Velstra buorke nei syn trouwen earst op [[Skinkeskâns]] ûnder [[Deinum]] en letter hied er in pleats tusken [[Marsum]] en Ljouwert.\nVelstra wie yn de jierren 80 en 90 fan de 19e iuw ferneamd troch syn moralistysk-romantyske [[toanielstik]]ken dêr't leafst 31 fan opfierd waarden troch it Ljouwerter Toanielselskip. In soad fan syn wurk ferskynde yn de [[Rimen en Teltsjes]] (1906 - 1911). Oant 1880 dichte er ek.\nVelstra wie lid fan de gemeenteried fan [[Menameradiel]], [[Provinsjale Steaten fan Fryslân|Provinsjale Steaten]] en bestjoerslid fan it [[Frysk Selskip]] fan [] - [].\nVelstra wie teffens in leafhawwer fan hynders en de hurddraverij. Hy sette him yn foar it befoarderjen fan de hynstesport. Mei syn [[merje]] Sophie wûn er in [[Gouden Swipe]] en sulveren teeservizen.\nTjeerd Ritskes Velstra wenne yn Ljouwert yn de filla ''Baensein'', dy't er yn 1885 sette litten hie, oan de Marsumerdyk. Yn 1905 ferhuze er nei de binnenstêd fan Ljouwert.\nOpfrege fan "https://fy.wikipedia.org/wiki/Wiki:MobileDiff/942351"


5,569 Properties Found. Showing Page 70 of 75\n2662 E 4256 N, Twin Falls ID 83301\n1505 Madrona St. N. Bldg 1300, Twin Falls ID 83301\n1505 Madrona St. N. Bldg 1400, Twin Falls ID 83301\n1505 Madrona St. N. Bldg 1100, Twin Falls ID 83301\n1505 Madrona St. N. Bldg 1000, Twin Falls ID 83301\n1230 E Addison Avenue, Twin Falls ID 83301-0265\nSteve Kohntopp Real Estate\n451 Eastland Drive, Twin Falls ID 83301\n870 Blue Lakes Blvd. N. Suite 3, Twin Falls ID 83301\n1182 Eastland Drive N A, Twin Falls ID 83301\n449 Arrow St, Twin Falls ID 83301\n169 Lois Street A, Twin Falls ID 83301\n169 Lois Street B, Twin Falls ID 83301\n870 Blue Lakes Blvd. N. Suite 4b & 5, Twin Falls ID 83301\n870 Blue Lakes Blvd. N. Suite 6, Twin Falls ID 83301\n195 River Vista Place, Twin Falls ID 83330-1\n706 N College Road Suite B, Twin Falls ID 83301\n394 & 408 Washington St. North, Twin Falls ID 83301\n1309 Blue Lakes Blvd N, Twin Falls ID 83301\n1788 Addison Ave E, Twin Falls ID 83301\n201 River Vista Place, Twin Falls ID 83301\n1548 E 3rd, Twin Falls ID 83301\n132 S Main Ave, Twin Falls ID 83301\n961 Wildwood Way, Twin Falls ID 83301-8192\n2050 Eldridge Avenue, Twin Falls ID 83301\n475 Polk St Suite #2 #2, Twin Falls ID 83301\n475 Polk St Suite #b-1 B-1, Twin Falls ID 83301\n602 2nd Ave S, Twin Falls ID 83301\n475 Polk St, St #4, Twin Falls ID 83301\n630 Buckingham Dr, Twin Falls ID 83301\nTbd Pole Line Rd E., Twin Falls ID 83301\n1082 Cottage Rd., Twin Falls ID 83301\n1892 Stone Gate, Twin Falls ID 83301-8951\n475 Polk St Suite D & H D & H, Twin Falls ID 83301\n475 Polk Street #7-naa 7-naa, Twin Falls ID 83301\n475 Polk St Suite #b-6 #b-6, Twin Falls ID 83301\n1091 Cottage Rd, Twin Falls ID 83301\n1081 Cottage Rd., Twin Falls ID 83301\n1071 Cottage Rd., Twin Falls ID 83301\n1061 Cottage Rd., Twin Falls ID 83301\n1070 Easy Ave, Twin Falls ID 83301\n475 Polk St Suite D D, Twin Falls ID 83301\n475 Polk St Suite H H, Twin Falls ID 83301\n2053 Kimberly Road, Twin Falls ID 83301\n1080 Easy Ave, Twin Falls ID 83301\n1090 Easy Ave, Twin Falls ID 83301\n238 Main Ave North, Twin Falls ID 83301\n114 Los Lagos, Twin Falls ID 83301\n453 Mahard Dr, Twin Falls ID 83301\nHankins Rd, Twin Falls ID 80331\n1236 Blue Lakes Blvd N, Twin Falls ID 83301\n873 Morning Sun Dr, Twin Falls ID 83301\n2290 Settlers, Twin Falls ID 83301-7889\n1050 Welch Lane, Twin Falls ID 83301\nTbd Mahard Dr, Twin Falls ID 83301\n3084 Shoshone Ct, Twin Falls ID 83301\nTbd River Vista Place, Twin Falls ID 83301\n290 Filer Ave W, Twin Falls ID 83301\n378 Alturas Dr., Twin Falls ID 83301\n798 Locust St, Twin Falls ID 83301\n127 W 2nd Avenue, Twin Falls ID 83301\n1149 Addison Ave W, Twin Falls ID 83301\n1605 Grandview Drive 10, Twin Falls ID 83301\n461 Rusty Lane, Twin Falls ID 83301\n1369 Ashley Drive, Twin Falls ID 83301\n2741 Suncrest Circle, Twin Falls ID 83301\n1753 Houston St, Twin Falls ID 83301\n1432 Lawndale Drive, Twin Falls ID 83301\n951 Dunnigan St, Twin Falls ID 83301\n« 1 67 68 69 70 71 72 73 75 »


lugar especial - Review of Riad El Yacout, Fes, Morocco - TripAdvisor\nGeneral M, Directeur général at Riad El Yacout, responded to this reviewResponded June 1, 2013\nAsk lemounard about Riad El Yacout\n1 Thank lemounard\nNotre avis de visiteur....\nAsk jean-marie P about Riad El Yacout\n1 Thank jean-marie P\nAsk Angelika S about Riad El Yacout\nTripAdvisor is proud to partner with Expedia, Booking.com, Orbitz, Travelocity, Hotwire, Hotels.com, Priceline, Agoda, Prestigia, Cancelon, TripOnline SA and HotelQuickly so you can book your Riad El Yacout reservations with confidence. We help millions of travelers each month to find the perfect hotel for both vacation and business trips, always with the best discounts and special offers.


Station info for JA/CB-005 – Google Maps APRS\nAPRS object JA/CB-005 - show graphs\n35°05.93' N 139°52.89' E - locator PM95WC53SR - show map - static map\n8.0 miles North bearing 6° from Tateyama, Chiba, Japan [?]\n12.3 miles West bearing 270° from Kawaguchi, Chiba, Japan\n27.6 miles Southeast bearing 151° from Yokohama-shi, Kanagawa, Japan\n42.2 miles South bearing 165° from Tokyo, Tōkyō, Japan\n2020-07-23 22:54:34 EDT (57d 3h7m ago)\n2020-07-24 11:54:34 JST local time at Tateyama, Japan [?]\nStations near current position of JA/CB-005 - show more\n19.4 yards 180° 2020-09-19 01:57:52\n32.8 yards 270° 2020-09-13 03:20:40\n1.7 miles 244° 2020-08-20 09:57:22\n3.4 miles 319° 2020-09-08 09:04:36\n3.4 miles 319° 2020-08-20 08:17:50\n6.3 miles 183° 2020-09-14 05:46:29\n6.3 miles 183° 2020-09-14 05:46:39\n6.3 miles 183° 2020-08-22 23:54:59\n6.3 miles 183° 2020-08-22 23:55:09\n6.4 miles 323° 2020-09-19 01:56:42\n7.1 miles 189° 2020-09-17 18:44:37\n7.3 miles 257° 2020-09-17 19:02:56\n7.4 miles 278° 2020-09-19 01:46:41\n7.8 miles 85° 2020-09-02 20:37:28\n8.0 miles 288° 2020-09-18 04:07:57\n8.1 miles 274° 2020-09-13 04:36:01\n8.1 miles 217° 2020-09-18 18:21:22\n8.1 miles 276° 2020-09-18 15:37:49\n8.2 miles 312° 2020-09-19 01:29:21\n8.2 miles 245° 2020-09-19 01:56:42


Hotels near AB116JN postcode (Aberdeen).\nHOTELS IN AB11 6JN\nThe following hotels, B&Bs and holiday accommodation are located within 10 miles of AB11 6JN, ordered by distance from postcode:\nDistance fr. AB11 6JN\nDISTANCE FROM AB11 6JN: 1384m awayNEAREST TRAIN STATION: Aberdeen (0.7 miles)\nDISTANCE FROM AB11 6JN: 1.08 miles awayNEAREST TRAIN STATION: Aberdeen (0.6 miles)\nDISTANCE FROM AB11 6JN: 1.11 miles awayNEAREST TRAIN STATION: Aberdeen (0.4 miles)\nDISTANCE FROM AB11 6JN: 1.16 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 1.19 miles awayNEAREST TRAIN STATION: Aberdeen (0.6 miles)\nDISTANCE FROM AB11 6JN: 1.25 miles awayNEAREST TRAIN STATION: Aberdeen (0.5 miles)\nDISTANCE FROM AB11 6JN: 1.29 miles awayNEAREST TRAIN STATION: Aberdeen (0.5 miles)\nDISTANCE FROM AB11 6JN: 1.3 miles awayNEAREST TRAIN STATION: Aberdeen (0.5 miles)\nDISTANCE FROM AB11 6JN: 1.32 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.45 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.46 miles awayNEAREST TRAIN STATION: Aberdeen (1.9 miles)\nDISTANCE FROM AB11 6JN: 1.47 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 1.51 miles awayNEAREST TRAIN STATION: Aberdeen (0.8 miles)\nDISTANCE FROM AB11 6JN: 1.52 miles awayNEAREST TRAIN STATION: Aberdeen (0.6 miles)\nDISTANCE FROM AB11 6JN: 1.52 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.54 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 1.54 miles awayNEAREST TRAIN STATION: Aberdeen (0.6 miles)\nDISTANCE FROM AB11 6JN: 1.54 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.56 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.59 miles awayNEAREST TRAIN STATION: Aberdeen (2.0 miles)\nDISTANCE FROM AB11 6JN: 1.59 miles awayNEAREST TRAIN STATION: Aberdeen (0.1 miles)\nDISTANCE FROM AB11 6JN: 1.65 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 1.67 miles awayNEAREST TRAIN STATION: Aberdeen (0.0 miles)\nDISTANCE FROM AB11 6JN: 1.7 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.71 miles awayNEAREST TRAIN STATION: Aberdeen (0.0 miles)\nDISTANCE FROM AB11 6JN: 1.71 miles awayNEAREST TRAIN STATION: Aberdeen (0.7 miles)\nDISTANCE FROM AB11 6JN: 1.72 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.74 miles awayNEAREST TRAIN STATION: Aberdeen (0.1 miles)\nDISTANCE FROM AB11 6JN: 1.74 miles awayNEAREST TRAIN STATION: Aberdeen (1.4 miles)\nDISTANCE FROM AB11 6JN: 1.74 miles awayNEAREST TRAIN STATION: Aberdeen (0.5 miles)\nDISTANCE FROM AB11 6JN: 1.75 miles awayNEAREST TRAIN STATION: Aberdeen (0.6 miles)\nDISTANCE FROM AB11 6JN: 1.78 miles awayNEAREST TRAIN STATION: Aberdeen (1.0 miles)\nDISTANCE FROM AB11 6JN: 1.8 miles awayNEAREST TRAIN STATION: Aberdeen (0.1 miles)\nDISTANCE FROM AB11 6JN: 1.81 miles awayNEAREST TRAIN STATION: Aberdeen (0.4 miles)\nDISTANCE FROM AB11 6JN: 1.81 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 1.82 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.82 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 1.86 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.87 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.9 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.92 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 1.92 miles awayNEAREST TRAIN STATION: Aberdeen (0.6 miles)\nDISTANCE FROM AB11 6JN: 1.94 miles awayNEAREST TRAIN STATION: Aberdeen (0.2 miles)\nDISTANCE FROM AB11 6JN: 1.94 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 1.96 miles awayNEAREST TRAIN STATION: Aberdeen (0.8 miles)\nDISTANCE FROM AB11 6JN: 1.98 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 1.98 miles awayNEAREST TRAIN STATION: Aberdeen (0.9 miles)\nDISTANCE FROM AB11 6JN: 2.03 miles awayNEAREST TRAIN STATION: Aberdeen (0.3 miles)\nDISTANCE FROM AB11 6JN: 2.03 miles awayNEAREST TRAIN STATION: Aberdeen (0.4 miles)\nDISTANCE FROM AB11 6JN: 2.04 miles awayNEAREST TRAIN STATION: Aberdeen (0.4 miles)\nDISTANCE FROM AB11 6JN: 2.2 miles awayNEAREST TRAIN STATION: Aberdeen (0.9 miles)\nDISTANCE FROM AB11 6JN: 2.2 miles awayNEAREST TRAIN STATION: Aberdeen (1.1 miles)\nDISTANCE FROM AB11 6JN: 2.21 miles awayNEAREST TRAIN STATION: Aberdeen (0.5 miles)\nDISTANCE FROM AB11 6JN: 2.21 miles awayNEAREST TRAIN STATION: Aberdeen (0.4 miles)\nDISTANCE FROM AB11 6JN: 2.25 miles awayNEAREST TRAIN STATION: Aberdeen (1.2 miles)\nDISTANCE FROM AB11 6JN: 2.27 miles awayNEAREST TRAIN STATION: Aberdeen (0.4 miles)\nDISTANCE FROM AB11 6JN: 2.32 miles awayNEAREST TRAIN STATION: Aberdeen (0.4 miles)\nDISTANCE FROM AB11 6JN: 2.33 miles awayNEAREST TRAIN STATION: Aberdeen (0.4 miles)\nDISTANCE FROM AB11 6JN: 2.34 miles awayNEAREST TRAIN STATION: Aberdeen (0.9 miles)\nDISTANCE FROM AB11 6JN: 2.4 miles awayNEAREST TRAIN STATION: Aberdeen (1.3 miles)\nDISTANCE FROM AB11 6JN: 2.41 miles awayNEAREST TRAIN STATION: Aberdeen (0.5 miles)\nDISTANCE FROM AB11 6JN: 2.44 miles awayNEAREST TRAIN STATION: Aberdeen (0.7 miles)\nDISTANCE FROM AB11 6JN: 2.51 miles awayNEAREST TRAIN STATION: Aberdeen (1.4 miles)\nDISTANCE FROM AB11 6JN: 2.51 miles awayNEAREST TRAIN STATION: Aberdeen (0.6 miles)\nDISTANCE FROM AB11 6JN: 2.52 miles awayNEAREST TRAIN STATION: Aberdeen (1.2 miles)\nDISTANCE FROM AB11 6JN: 2.53 miles awayNEAREST TRAIN STATION: Aberdeen (1.4 miles)\nDISTANCE FROM AB11 6JN: 2.53 miles awayNEAREST TRAIN STATION: Aberdeen (0.6 miles)\nDISTANCE FROM AB11 6JN: 2.55 miles awayNEAREST TRAIN STATION: Aberdeen (0.8 miles)\nDISTANCE FROM AB11 6JN: 2.56 miles awayNEAREST TRAIN STATION: Aberdeen (1.5 miles)\nDISTANCE FROM AB11 6JN: 2.58 miles awayNEAREST TRAIN STATION: Aberdeen (0.7 miles)\nDISTANCE FROM AB11 6JN: 2.6 miles awayNEAREST TRAIN STATION: Aberdeen (1.5 miles)\nDISTANCE FROM AB11 6JN: 2.65 miles awayNEAREST TRAIN STATION: Aberdeen (0.8 miles)\nDISTANCE FROM AB11 6JN: 2.71 miles awayNEAREST TRAIN STATION: Aberdeen (0.8 miles)\nDISTANCE FROM AB11 6JN: 2.74 miles awayNEAREST TRAIN STATION: Aberdeen (0.8 miles)\nDISTANCE FROM AB11 6JN: 2.76 miles awayNEAREST TRAIN STATION: Aberdeen (0.8 miles)\nDISTANCE FROM AB11 6JN: 2.77 miles awayNEAREST TRAIN STATION: Aberdeen (2.7 miles)\nDISTANCE FROM AB11 6JN: 2.8 miles awayNEAREST TRAIN STATION: Aberdeen (1.2 miles)\nDISTANCE FROM AB11 6JN: 2.82 miles awayNEAREST TRAIN STATION: Aberdeen (0.9 miles)\nDISTANCE FROM AB11 6JN: 2.87 miles awayNEAREST TRAIN STATION: Aberdeen (0.8 miles)\nDISTANCE FROM AB11 6JN: 2.89 miles awayNEAREST TRAIN STATION: Aberdeen (1.7 miles)\nDISTANCE FROM AB11 6JN: 2.89 miles awayNEAREST TRAIN STATION: Aberdeen (0.8 miles)\nDISTANCE FROM AB11 6JN: 2.9 miles awayNEAREST TRAIN STATION: Aberdeen (1.2 miles)\nDISTANCE FROM AB11 6JN: 2.94 miles awayNEAREST TRAIN STATION: Aberdeen (1.3 miles)\nDISTANCE FROM AB11 6JN: 2.95 miles awayNEAREST TRAIN STATION: Aberdeen (0.9 miles)\nDISTANCE FROM AB11 6JN: 3.02 miles awayNEAREST TRAIN STATION: Aberdeen (1.4 miles)\nDISTANCE FROM AB11 6JN: 3.06 miles awayNEAREST TRAIN STATION: Aberdeen (1.4 miles)\nDISTANCE FROM AB11 6JN: 3.28 miles awayNEAREST TRAIN STATION: Aberdeen (1.1 miles)\nDISTANCE FROM AB11 6JN: 3.39 miles awayNEAREST TRAIN STATION: Aberdeen (1.4 miles)\nDISTANCE FROM AB11 6JN: 3.39 miles awayNEAREST TRAIN STATION: Aberdeen (1.9 miles)\nDISTANCE FROM AB11 6JN: 3.45 miles awayNEAREST TRAIN STATION: Aberdeen (1.7 miles)\nDISTANCE FROM AB11 6JN: 3.49 miles awayNEAREST TRAIN STATION: Aberdeen (1.8 miles)\nDISTANCE FROM AB11 6JN: 3.5 miles awayNEAREST TRAIN STATION: Aberdeen (1.2 miles)


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François Fleurand – – webtrees Nos Trois Branches - Le G.A.C.\nMarriage Marguertite Lassort — View this family\nFamily with Marguertite Lassort - View this family\nFrançois Fleurand. He married Marguertite Lassort.\nChildren of François Fleurand and Marguertite Lassort:\nLast change December 10, 2011 – 14:02:51\nFamily with Marguertite Lassort


Aginda - Ynternasjonale hannelsekspo yn Florida\n16-18 maart 2021 | 9 oant 00 oere ET\nAlle tiden binne Eastern Time Zone (ET)\nTiisdei, maart 16\n9: 00 op\nTentoanstelling Grand Hall iepent\n9:00 - 9:10 oere\nTentoanstelling, gearkomsten en netwurken\n10 - 00 oere\nWebinar: Saaklike kânsen en foardielen fan saken dwaan yn Florida\nBeskriuwing: Leading bedriuwslieders sille har miening oer Floarida diele as premier bedriuwslokaasje.\nFlorida sekretaris fan hannel\nPresidint & CEO\nVice-foarsitter fan 'e ried\nDe bedriuw Embraer Aircraft Holdings, Inc.\nTentoanstelling Grand Hall slút\nNei oeren: It firtuele platfoarm is tagonklik nei sjo-oeren om besikers yn ferskate tiidsônes te befangen. Jo kinne standen besykje en gearkomsten freegje mei eksposanten yn dizze tiid.\nWoansdei, maart 17\n9:00 - 9:05 oere\nWebinar: Unparallele ynfrastruktuer en logistyk yn Florida\nBeskriuwing: Learje hoe't de ynfrastruktuer fan Floarida bedriuwen in basis biedt wêrfan se har guod en tsjinsten kinne ferkeapje oan in wrâldwide kliïnten, foaral dy yn Amerika.\nPresidint en CEO\nKeamer fan Keaphannel yn Florida\nFeriening fan dûanemakelers en ekspedysjes yn Florida\nTongersdei, maart 18\nWebinar: De Innovation Hub fan Florida\nBeskriuwing: Fidoria-basearre akademia en ûndernimmers sille sprekke oer fernijende technology dy't de wrâld feroaret.\nFoarsitter, Ynternasjonale Hannel & Untwikkeling\nDr Jason Hallstrom\nI-SINSE, Florida Atlantic University\nOprjochter, presidint & Chief Scientific Office\nLearje mear oer ynnovative technologyen yn 'e steat Floarida!\nIt Ynstitút foar Sensing en Embedded Network Systems Engineering (I-SENSE) liedt universitêre aktiviteiten yn Sensing en Smart Systems, ien fan 'e fjouwer ûndersykspylders fan FAU. De I-SENSE missy is it befoarderjen fan ûndersyksûndersyk yn Sensing en Smart Systems; en om technologyske oplossingen mei hege maatskiplike ynfloed te ûntwikkeljen, te demonstrearjen en te operearjen. It team hat wiidweidige ûnderfining yn it ûntwerp, ynset en behear fan ynfrastruktuer mei netwurken. De missy wurdt laat troch in robúst ynterdissiplinêr team besteande út fiif personielsleden, njoggen fakulteitsgenoaten, trije postdoktorale ûndersikers, mear as 60 oansletten fakulteiten, en mear as twa tsientallen ûndersyksassistinten. It wurk fan it team wurdt stipe troch AFRL, NSF, NIH, NIST, DOE, NOAA, en gemeentlike en yndustriële partners.\nViolet Defense brûkt de krêft fan ultraviolet ljocht om deistige romten te beskermjen tsjin skealike sykteferwekkers troch oant 99.9% fan E. coli, Salmonella, MRSA, C. diff., Norovirus, C. auris, en coronavirus te fermoardzjen. Sntwurpen om desinfeksje maklik te meitsjen, biedt ús SAGE-produktline sterke UV-desinfeksje fan oerflakken en loft foar in ferskaat oan ynstellingen, ynklusyf sûnenssoarch, K-12-oplieding, heger ûnderwiis, atletyske foarsjennings, gastfrijens, oerheidsgebouwen, en needferfierweinen.\nViolet Defense biedt de ienige bekende pulsearre Xenon UV-oplossing dy't foltiids yn in keamer kin ynstalleare wurde, en makket in trochgeande manier om desinfeksjebehoeften oan te pakken. In fleksibele set fan mobile oplossingen biedt in manier om UV-desinfeksje te bringen wannear en wêr't jo it nedich binne op oanfraach. De patinteare technology efter Violet Defense makket it mooglik om de oplossing kosteneffektyf op te nimmen yn hast elke omjouwing.\nNeobiose, LLC is in partikuliere organisaasje foar organisaasje foar biomedyske kontraktûntwikkeling en produksje (CDMO) mei twa produksjefoarsjennings yn it sintrum fan Gainesville en in laboratoarium foar ûndersyks- en ûntwikkeling yn it Sid Martin UF Innovate biotechnology Institute yn Alachua, FL. De fokus fan Neobiose is it isolearjen fan weefsels, sellen en ekzelletellêre blaasjes (EV's), mei medisinale potinsjes, fan doneare perinatale (berte) weefsels, ynklusyf navelstring, navelstringbloed en amniotyske floeistof. De namme Neobiose ("nij libben") is ôflaat fan in searje eksperiminten neamd Parabiose ("tegearre wenje") wêr't ûntdutsen waard dat weefsels, sellen en EV's fan in jonge donor koenen brûkt wurde om de genêzing fan âldere yndividuen te befoarderjen. Neobiose produsearret ynnovative produkten út sûne, folsleine termynbern, foar kliïntorganisaasjes dy't biomedyske produkten wolle nimme, hoewol FDA-goedkarde klinyske proeven foar kommersjalisaasje yn in wrâldwide merk. Neobiose is ek ynsette foar it befoarderjen fan in ynterne pipeline fan yntellektueel eigendom en biologyske medisinen.\n** Aginda kin feroarje.\n© 2021 Florida International Trade Expo. Fergees makke mei WordPress en Colibri


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Finally it's Tigers - Page 2 - Fodor's Travel Talk Forums\nDec 13th, 2007, 05:48 PM\nThanks Sonali. Hope you have a great trip!\nDec 17th, 2007, 06:46 PM\nHello all, there is a slight change in plans,mainly to avoid long distance train/road travel(this is important info for people who want to reach bandhavgarh in a somewhat luxurious fashion) I will leave on the 20th from ahmedabad and take a kingfisher flight via indore to jabalpur(I believe flights to jabalpur from metros like mumbai etc are being routed through indore), reach there at 4 in the afternoon, stay at welcome ITC hotels sheraton narmada jackson for the night, and leave by train narmada express first class A/C A1 at 6:35 early in the morning(the train station is 5 minutes from ITC Sheraton narmada jackson), reach umaria by 10:30, umaria is only 30 km from the mahua kothi, so 45 minutes I will be at mahua kothi\nThe advantage of this trip, is flight to jabalpur and to avoid the bad roads to bandhavgarh(190 km), take the (first class A/C A1,I have travelled for short trips,4/5 hours on express trains and as long you donnot use the loo and food they are clean and neat) narmada express train to umaria from jabalpur which takes about only 4 hours,which should be good, and in 45 minutes you are mahua kothi, so only 5 hours of travelling time....and the whole day for game drives after lunch....\nI had a word with the manager at mahua kothi and they do have free internet for short periods for guests, so I will keep all posted regarding sightings at mahua on a regular basis from mahua\nI will be back home by the 26th,\nHOPING TO HAVE A GREAT TRIP,\nFeb 18th, 2007 04:29 PM\nJul 29th, 2006 06:55 PM\nMar 22nd, 2006 12:01 PM\nFeb 6th, 2006 01:16 AM\nJun 4th, 2005 08:05 PM


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