EPYC 2021 Benchmarks

Tests for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2102219-HA-EB716339316.

EPYC 2021 BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads)ASRockRack EPYCD8 (P2.40 BIOS)AMD Starship/Matisse8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E13841GB Micron_9300_MTFDHAL3T8TDPllvmpipeVE2282 x Intel I350Ubuntu 20.045.11.0-051100rc6daily20210201-generic (x86_64) 20210131GNOME Shell 3.36.4X Server 1.20.8llvmpipe4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits)GCC 9.3.0ext41920x1080AMD EPYC 7402P 24-Core @ 2.80GHz (24 Cores / 48 Threads)AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads)AMD EPYC 7232P 8-Core @ 3.10GHz (8 Cores / 16 Threads)AMD EPYC 7552 48-Core @ 2.20GHz (48 Cores / 96 Threads)AMD EPYC 7272 12-Core @ 2.90GHz (12 Cores / 24 Threads)AMD EPYC 7662 64-Core @ 2.00GHz (64 Cores / 128 Threads)AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads)AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads)7 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1AMD EPYC 7542 32-Core @ 2.90GHz (32 Cores / 64 Threads)8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1AMD EPYC 7282 16-Core @ 2.80GHz (16 Cores / 32 Threads)AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)AMD EPYC 7532 32-Core @ 2.40GHz (32 Cores / 64 Threads)AMD EPYC 7642 48-Core @ 2.30GHz (48 Cores / 96 Threads)AMD EPYC 7742 64-Core @ 2.25GHz (64 Cores / 128 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 -vDisk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Details- EPYC 7702: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7402P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7302P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7232P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7552: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7272: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7662: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7502P: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7F52: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7542: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7282: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7F32: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7532: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7642: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7742: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Details- Python 3.8.5Security Details- 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 2021 Benchmarksospray: Magnetic Reconnection - SciVisospray: XFrog Forest - SciVisospray: XFrog Forest - Path Tracerospray: NASA Streamlines - SciVisospray: NASA Streamlines - Path Tracerospray: San Miguel - SciVisospray: San Miguel - Path Tracerc-ray: Total Time - 4K, 16 Rays Per Pixeltachyon: Total Timepovray: Trace Timerays1bench: Large Sceneyafaray: Total Time For Sample Sceneblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlytungsten: Hairtungsten: Water Causticappleseed: Emilyappleseed: Disney Materialluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismv-ray: CPUindigobench: CPU - Supercarindigobench: CPU - Bedroombuild-php: Time To Compilebuild-linux-kernel: Time To Compilebuild-imagemagick: Time To Compilebuild-llvm: Time To Compilebuild-ffmpeg: Time To Compilebuild-mplayer: Time To Compilebuild2: Time To Compilebuild-godot: Time To Compilemt-dgemm: Sustained Floating-Point Rateaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingcloverleaf: Lagrangian-Eulerian Hydrodynamicsdaphne: OpenMP - Euclidean Clusterdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imageffte: N=256, 3D Complex FFT Routinegpaw: Carbon Nanotubehpcg: himeno: Poisson Pressure Solverincompact3d: Cylinderkripke: lammps: Rhodopsin Proteinlammps: 20k Atomslulesh: minife: Smallmocassin: Dust 2D tau100.0montage: Mosaic of M17, K band, 1.5 deg x 1.5 degnamd: ATPase Simulation - 327,506 Atomsgromacs: Water Benchmarknpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cnumpy: openfoam: Motorbike 30Mopenfoam: Motorbike 60Mparboil: OpenMP LBMqe: AUSURF112rodinia: OpenMP CFD Solverrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP Streamclustermrbayes: Primate Phylogeny Analysisai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorecaffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 200lczero: BLASlczero: Eigenmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0numenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylineonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonnx: yolov4 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUplaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - VGG19 - CPUtensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: NASNet Mobiletensorflow-lite: SqueezeNettensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4cpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Deepcoincpuminer-opt: Skeincoinjohn-the-ripper: MD5john-the-ripper: Blowfishdav1d: Summer Nature 1080pdav1d: Summer Nature 4Kdav1d: Chimera 1080pdav1d: Chimera 1080p 10-bitkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Enc Mode 8 - 1080psvt-av1: Enc Mode 4 - 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080px264: H.264 Video Encodingx265: Bosphorus 4Kwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5aircrack-ng: brl-cad: VGR Performance Metriccassandra: Writespgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencykeydb: influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000couchdb: 100 - 1000 - 24redis: SETredis: GETpybench: Total For Average Test Timespyperformance: crypto_pyaespyperformance: django_templatepyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: regex_compilephpbench: PHP Benchmark Suiteperl-benchmark: Pod2htmlperl-benchmark: Interpretersimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDrocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingebizzy: blogbench: Readespeak: Text-To-Speech Synthesisbotan: AES-256botan: Blowfishbotan: CAST-256botan: KASUMIbotan: Twofishcryptopp: Unkeyed Algorithmscryptopp: Keyed Algorithmscryptopp: Integer + Elliptic Curve Public Key Algorithmsblosc: blosclzcompress-zstd: 3compress-zstd: 19compress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9compress-7zip: Compress Speed Testcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedcoremark: CoreMark Size 666 - Iterations Per Secondctx-clock: Context Switch Timestress-ng: CPU Stressstress-ng: Cryptostress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Socket Activitystress-ng: Context Switchingstress-ng: CPU Cachestream: Copystream: Scalestream: Addstream: Triadtinymembench: Standard Memsetmbw: Memory Copy - 8192 MiBhugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentrawtherapee: Total Benchmark Timelibraw: Post-Processing Benchmarksynthmark: VoiceMark_100basis: UASTC Level 2basis: UASTC Level 3astcenc: Thoroughastcenc: Exhaustiveetcpak: ETC2etcpak: DXT1quantlib: swet: Averagesysbench: CPUsysbench: Memoryfinancebench: Bonds OpenMPfinancebench: Repo OpenMPcrafty: Elapsed Timetscp: AI Chess Performancestockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthm-queens: Time To Solvehint: FLOATopenvkl: vklBenchmarkoidn: Memorialamg: pennant: leblancbigpennant: sedovbignwchem: C240 Buckyballngspice: C2670ngspice: C7552v-ray: CPUgromacs: water_GMX50_barejpegxl: PNG - 5jpegxl: PNG - 7jpegxl: PNG - 8jpegxl: JPEG - 5jpegxl: JPEG - 7jpegxl: JPEG - 8jpegxl-decode: 1jpegxl-decode: Allstream-dynamic: - Copystream-dynamic: - Scalestream-dynamic: - Addstream-dynamic: - Triadtoybrot: TBBtoybrot: OpenMPtoybrot: C++ Taskstoybrot: C++ ThreadsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424011.075.9276.9216.6755.564.9212.84919.121811.500243.5767.25240.07103.5555.40119.17154.427.5070621.9683154.43673367.7375497.047.826275419.0958.81142.56128.13017.115234.20524.03412.99067.96662.55715.61481220185.520382.29509.147148.7714.70954.20861.3519062.924024905145868.2946485081.06017.30753762.488930224.61637419968396019.99724.81814612.20819155.424294.7630.492644.3733908.233989.7955136.50102548.951971.5051795.6115079.08306.5023.35233.3423.3229291208.317.81954.71148.7168.928115.265196511243089128965347484269926868.37526.9245.0673.18733.2686.93015.94484.8331.078443.558922.335191.888422.820151.494461.703601.159430.5874430.8006432306.332296.532314.36874.440878.199875.70824074647840873907.884029.987.884030.5325067.041.2125012.981.226.025170.996.055153.9931.8926.4935037.436468.895873.761679.67026077642691360.069581.06461136058524183000700331050.99437.31983.61185.3114.9436.0753.5279.8246.752305.10409.36198.5825.04139.362257.0058.125143169.120660079227564556991.7988974530.112521814.8048999920.279371448.211212918.21308517.297.9541228831.791482738.92116612957.513313520.21985296090.149543390.000970840.520.330.460.5428711521846982482324742701767137295535.9274499.500368.930119.99577.699302.135298.729251539.4548904152.5975338372.78248.3147.522.04726490845.6910162.044.5410219.51845888.79718312019926.6111996.59397326.45179226.2419577.0320917619.7643.7090511.887714.697206.398034.817329.815599.89855.67618.73256.03034.50635.92213.29718.8696.3545.80137.2841019.2051970.1602434885106421.95116302136.653788553.78385451015.8658856899948101585810090845312284946113.839297478250.4294649227.678783753337.03398211.942472247177.616132.616452924.37120.835.763.0741.678.7730.302.4525.68337.733720.464134.1980.49669.84196.7091.81219.75291.5212.262323.8709194.525247105.6919723.834.17331849.6304.49447.41341.49720.430312.69832.06518.58876.65076.1627.20823512173.713892.56379.885726.6020.35962.88899.4521653.910013671111563.84400114116.40915.56293765.848387200.21011820981115014.03814.9078024.370616743.621793.9230.937052.7411806.541813.2974421.61307.4733.81314.0629.0206561342.1411.577102.99559.65214.76185.996192615463472154693391015152114398.97829.0225.2703.21334.3117.12116.12485.7583.543474.251112.489775.922043.346332.383061.829514.133820.5923081.295991672.241674.661673.31972.927974.124972.77228072881049465004.762507.584.732522.6112800.590.9213220.950.883.533310.913.513315.6327.8123.3461419.962904.110504693404.112067901366410862.814490.8619363210539212733333755847.40328.54839.06135.6911.2226.6148.3354.8735.563319.05413.09174.6323.84138.044254.2407.97471372.792317661200705476622.1014991380.201412736.0675216530.480415583.961248284.11290897.886.6821147451.381466557.03115913157.213313520.22005425210.145735970.000955860.530.330.460.5321642711439143443976951721854195961535.6944487.898368.377119.99377.570302.120298.490604538.0856734151.29159710178.38033.096.922.39913857545.9810209.345.0910256.3902070.1513341688541.125847.70182716.3992207.0713570.8310443329.1241.1179677.279147.386805.687308.414961.415510.92153.35620.87453.92934.03636.42918.16729.16011.7189.07137.0891018.9711977.360006557242008.11465614019.491788634.30989650474.69791768807601013320488047326258177528.194297827555.0907327917.1777845943316.6537525.889114709.514.084.022.1529.416.0720.831.6538.48854.840528.70290.37110.939102.29287.81129.81317.27411.5616.617526.0201260.983099149.3357192.682.91234866.5753.12952.74953.39923.546404.32639.73724.05887.65796.7724.96371510427.212204.45503.595509.325.21943.29898.2122339.84670168984316.231061377139.15215.63293792.808321262.63329116289838710.37410.6027954.151817082.422895.4481.350582.0141191.901190.4837175.2061041.271647.7847349.2915688.57301.2840.87313.6424.9249131403.5215.445147.38298.18617.72985.932166014593119152539387173125312339.50431.5435.7723.85634.8437.64517.18388.3233.706405.454003.283776.034974.726083.346632.410823.763950.8022721.841782412.792410.232407.931229.691227.561228.5027769897545224563.312414.743.322413.459316.800.849314.820.842.513145.892.513155.8521.2417.3980320.582490.414444512394715670701742890447.012965.2912697151030146033322314634.51245.60698.08116.689.1522.9441.5237.0444.506242.24316.49150.4520.44164.805301.5209.35448284.826219055135260384582.6063577810.280303138.2583684490.679405905.781188387.21249264.689.4331173570.001438157.73117213057.613513720.42025241890.149784890.000954780.520.330.450.531632487697209030862371208466189842836.3564430.718362.204117.87776.510297.647294.437128530.3625934086.07579610476.87699.473.823.1539513744.5310172.743.9810132.1603381.3330021805622.823871.57120826.8163930.729499.337003110.1832.7280140.179703.587568.888105.714820.315480.29055.77323.39258.50633.71627.74323.34239.75416.68129.26135.1801007.9501952.559858922827632.18544502591.448289863.26041751629.1028656787692997133329737494211221942.381292597759.7815819212.1878826687521.9518834.025546676.46.991.890.9914.292.8210.310.7679.168112.393555.77548.61186.180198.45558.87267.24664.29866.8532.538833.9164487.372372265.5440821.381.50111363.1171.45675.32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OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421020304050SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 6SE +/- 0.00, N = 3SE +/- 0.17, N = 5SE +/- 0.06, N = 3SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.08, N = 6SE +/- 0.00, N = 6SE +/- 0.00, N = 740.0020.8314.086.9934.4810.4240.0026.0513.4527.7813.898.1625.0034.4843.48MIN: 34.48 / MAX: 41.67MIN: 20.41 / MAX: 21.28MIN: 12.99 / MAX: 14.29MIN: 5.95 / MAX: 7.04MIN: 33.33 / MAX: 35.71MIN: 10.1 / MAX: 10.64MIN: 38.46 / MAX: 41.67MIN: 25.64 / MAX: 26.32MIN: 12.82 / MAX: 13.89MIN: 27.03MIN: 13.33 / MAX: 14.08MIN: 6.85 / MAX: 8.4MIN: 23.81 / MAX: 25.64MIN: 33.33 / MAX: 35.71MIN: 35.71 / MAX: 45.45

OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.06980.13960.20940.27920.3490.300.170.150.110.280.130.310.230.090.220.160.080.190.250.31

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 311.075.764.021.899.522.9311.247.014.457.583.722.396.909.5812.20MIN: 10.75 / MAX: 11.24MIN: 5.68 / MAX: 5.81MIN: 3.98 / MAX: 4.05MIN: 1.84 / MAX: 1.91MIN: 9.35 / MAX: 9.62MIN: 2.9 / MAX: 2.97MIN: 10.99 / MAX: 11.36MIN: 6.94 / MAX: 7.09MIN: 4.31 / MAX: 4.52MIN: 7.46 / MAX: 7.63MIN: 3.69 / MAX: 3.76MIN: 2.37 / MAX: 2.42MIN: 6.8 / MAX: 6.99MIN: 9.17 / MAX: 9.71MIN: 11.24 / MAX: 12.35

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.01580.03160.04740.06320.0790.070.040.030.020.060.030.070.050.020.050.040.020.050.060.07

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.923.072.150.995.101.556.003.752.344.041.981.273.705.156.52MIN: 5.85 / MAX: 5.99MIN: 3.02 / MAX: 3.11MIN: 2.13 / MAX: 2.16MAX: 1MIN: 5.05 / MAX: 5.15MIN: 1.54 / MAX: 1.57MIN: 5.92 / MAX: 6.06MIN: 3.72 / MAX: 3.77MIN: 2.29 / MAX: 2.38MIN: 3.98 / MAX: 4.07MIN: 1.96 / MAX: 1.99MIN: 1.26 / MAX: 1.28MIN: 3.64 / MAX: 3.73MIN: 5.08 / MAX: 5.21MIN: 6.45 / MAX: 6.58

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.0090.0180.0270.0360.0450.030.020.020.010.030.020.040.030.010.020.020.010.020.030.03

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.00, N = 7SE +/- 0.00, N = 6SE +/- 0.00, N = 5SE +/- 0.00, N = 3SE +/- 0.00, N = 7SE +/- 0.00, N = 4SE +/- 0.00, N = 7SE +/- 0.18, N = 5SE +/- 0.49, N = 6SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 6SE +/- 0.00, N = 7SE +/- 0.00, N = 776.9241.6729.4114.2966.6721.7476.9250.0029.5955.0727.7817.2447.6266.6783.33MIN: 71.43 / MAX: 83.33MIN: 38.46 / MAX: 43.48MIN: 27.78MIN: 13.89 / MAX: 14.49MIN: 58.82 / MAX: 71.43MIN: 20.83 / MAX: 22.22MIN: 62.5 / MAX: 83.33MIN: 45.45 / MAX: 52.63MIN: 27.78 / MAX: 31.25MIN: 50 / MAX: 55.56MIN: 26.32MIN: 16.67 / MAX: 17.86MIN: 45.45 / MAX: 50MIN: 62.5 / MAX: 71.43MIN: 55.56 / MAX: 90.91

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.180.360.540.720.90.760.440.340.220.710.290.780.570.210.590.380.180.470.650.80

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774248121620SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 416.678.776.072.8214.294.3916.9510.606.8311.365.653.6510.4214.4918.18MIN: 16.39 / MAX: 16.95MIN: 8.62 / MAX: 8.85MIN: 5.99 / MAX: 6.13MIN: 2.79 / MAX: 2.86MIN: 13.89 / MAX: 14.49MIN: 4.33 / MAX: 4.44MIN: 16.39 / MAX: 17.24MIN: 10.42 / MAX: 10.75MIN: 6.67 / MAX: 6.94MIN: 11.11 / MAX: 11.49MIN: 5.59 / MAX: 5.75MIN: 3.58 / MAX: 3.69MIN: 10.2 / MAX: 10.53MIN: 14.08 / MAX: 14.71MIN: 16.39 / MAX: 18.87

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.0270.0540.0810.1080.1350.110.060.050.040.100.050.120.080.030.080.060.030.070.090.11

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421428425670SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 355.5630.3020.8310.3150.0015.6358.8237.0422.5640.0019.6112.5035.7150.0062.50MIN: 50 / MAX: 62.5MIN: 29.41 / MAX: 32.26MIN: 20.41 / MAX: 22.73MIN: 10.1 / MAX: 10.99MIN: 47.62 / MAX: 52.63MIN: 15.15 / MAX: 16.67MIN: 52.63 / MAX: 62.5MIN: 34.48 / MAX: 40MIN: 21.28 / MAX: 24.39MIN: 37.04 / MAX: 41.67MIN: 19.23 / MAX: 21.28MIN: 12.2 / MAX: 13.33MIN: 33.33 / MAX: 38.46MIN: 47.62 / MAX: 52.63MIN: 55.56 / MAX: 66.67

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.16880.33760.50640.67520.8440.670.440.310.190.690.260.720.570.210.590.340.160.430.620.75

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.20382.40763.61144.81526.019SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.922.451.650.764.171.224.993.031.483.231.590.952.974.215.35MIN: 4.88 / MAX: 4.95MIN: 2.43 / MAX: 2.46MIN: 1.63MAX: 0.77MIN: 4.12 / MAX: 4.18MIN: 1.21MIN: 4.95 / MAX: 5.03MIN: 2.99 / MAX: 3.04MIN: 1.47 / MAX: 1.49MIN: 3.19 / MAX: 3.24MIN: 1.58 / MAX: 1.6MIN: 2.93 / MAX: 2.99MIN: 4.1 / MAX: 4.24MIN: 5.26 / MAX: 5.38

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.0090.0180.0270.0360.0450.030.020.020.010.030.010.040.020.010.020.020.010.020.030.04

C-Ray

Total Time - 4K, 16 Rays Per Pixel

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.03, N = 412.8525.6838.4979.1715.2152.8112.8220.9132.5819.5539.6664.9721.4315.0411.901. (CC) gcc options: -lm -lpthread -O3

Tachyon

Total Time

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.26, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.27, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 319.1237.7354.84112.3922.8175.0419.0830.9046.5928.5958.4792.1631.5722.5617.541. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

POV-Ray

Trace Time

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421326395265SE +/- 0.02, N = 4SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.24, N = 3SE +/- 0.04, N = 4SE +/- 0.04, N = 3SE +/- 0.03, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.04, N = 411.5020.4628.7055.7813.2738.4111.5017.1424.1815.9430.5145.4717.6713.2710.681. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

rays1bench

Large Scene

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260120180240300SE +/- 0.20, N = 7SE +/- 0.04, N = 6SE +/- 0.08, N = 5SE +/- 0.08, N = 3SE +/- 0.08, N = 7SE +/- 0.04, N = 4SE +/- 0.21, N = 7SE +/- 0.06, N = 6SE +/- 0.10, N = 5SE +/- 0.03, N = 6SE +/- 0.06, N = 4SE +/- 0.01, N = 4SE +/- 0.06, N = 6SE +/- 0.11, N = 7SE +/- 0.16, N = 7243.57134.1990.3748.61217.7068.51243.25167.75109.91182.5984.5459.60163.00218.73269.74

rays1bench

Large Scene

OpenBenchmarking.orgmrays/s Per Watt, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.55581.11161.66742.22322.7792.331.340.970.682.240.852.391.810.691.851.090.541.542.042.47

YafaRay

Total Time For Sample Scene

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424080120160200SE +/- 0.72, N = 15SE +/- 1.05, N = 3SE +/- 1.37, N = 3SE +/- 0.97, N = 3SE +/- 0.43, N = 14SE +/- 0.80, N = 3SE +/- 0.74, N = 3SE +/- 0.38, N = 3SE +/- 1.73, N = 3SE +/- 0.43, N = 3SE +/- 1.06, N = 3SE +/- 0.41, N = 3SE +/- 0.21, N = 3SE +/- 0.60, N = 15SE +/- 0.66, N = 567.2580.50110.94186.1864.88131.0366.4870.70127.4564.92102.53172.3585.5667.6663.271. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424080120160200SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.95, N = 3SE +/- 1.01, N = 3SE +/- 0.42, N = 3SE +/- 0.34, N = 3SE +/- 0.27, N = 3SE +/- 0.37, N = 3SE +/- 0.27, N = 3SE +/- 0.06, N = 3SE +/- 0.34, N = 3SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 340.0769.84102.29198.4546.59136.2040.3360.7583.4555.32108.34156.3161.2545.7836.60

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742120240360480600SE +/- 0.41, N = 3SE +/- 0.04, N = 3SE +/- 0.64, N = 3SE +/- 0.21, N = 3SE +/- 0.69, N = 3SE +/- 0.31, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 3SE +/- 0.74, N = 3SE +/- 0.41, N = 3SE +/- 0.83, N = 3SE +/- 0.25, N = 3SE +/- 1.09, N = 3SE +/- 0.77, N = 3SE +/- 0.23, N = 3103.55196.70287.81558.87122.03387.23101.68162.29237.79148.50304.34454.49168.40121.2191.67

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260120180240300SE +/- 0.11, N = 3SE +/- 0.46, N = 3SE +/- 0.08, N = 3SE +/- 0.21, N = 3SE +/- 0.22, N = 3SE +/- 0.81, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.30, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 355.4091.81129.81267.2462.72177.6555.8278.01108.4072.27139.46207.1278.9461.9351.40

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742140280420560700SE +/- 0.15, N = 3SE +/- 1.69, N = 3SE +/- 0.50, N = 3SE +/- 0.72, N = 3SE +/- 0.92, N = 3SE +/- 0.64, N = 3SE +/- 0.39, N = 3SE +/- 0.14, N = 3SE +/- 0.98, N = 3SE +/- 0.07, N = 3SE +/- 1.19, N = 3SE +/- 0.51, N = 3SE +/- 0.33, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3119.17219.75317.27664.29139.21426.59118.26182.76265.13167.99338.52508.26189.09137.83107.79

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422004006008001000SE +/- 0.04, N = 3SE +/- 0.35, N = 3SE +/- 0.25, N = 3SE +/- 0.62, N = 3SE +/- 0.31, N = 3SE +/- 1.20, N = 3SE +/- 0.20, N = 3SE +/- 0.46, N = 3SE +/- 0.69, N = 3SE +/- 0.07, N = 3SE +/- 0.65, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3154.42291.52411.56866.85180.94554.64154.23237.65356.90223.08432.92683.81243.58179.18143.94

Tungsten Renderer

Scene: Hair

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742816243240SE +/- 0.02278, N = 6SE +/- 0.02622, N = 4SE +/- 0.02745, N = 3SE +/- 0.03115, N = 3SE +/- 0.04134, N = 5SE +/- 0.03918, N = 3SE +/- 0.02077, N = 6SE +/- 0.00983, N = 5SE +/- 0.03705, N = 4SE +/- 0.02895, N = 5SE +/- 0.03890, N = 3SE +/- 0.01111, N = 3SE +/- 0.03618, N = 5SE +/- 0.03455, N = 5SE +/- 0.03180, N = 67.5070612.2623016.6175032.538808.7195321.995807.5509310.5740014.132709.9284917.6542026.5161010.813108.568287.092971. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Tungsten Renderer

Scene: Water Caustic

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742816243240SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.41, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 321.9723.8726.0233.9222.6529.9522.1323.1124.4222.6426.7928.1023.5522.5521.641. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Appleseed

Scene: Emily

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742110220330440550154.44194.53260.98487.37154.73333.25153.46170.48226.80161.64275.81381.37172.91153.98146.84

Appleseed

Scene: Disney Material

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77426012018024030067.74105.69149.34265.5473.33195.0867.3387.51118.4881.83151.86225.0989.0170.4961.68

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 37.043.832.681.386.131.987.214.653.275.032.531.684.546.197.77MIN: 6.88 / MAX: 7.39MIN: 3.74 / MAX: 4.01MIN: 2.58 / MAX: 2.77MIN: 1.34 / MAX: 1.42MIN: 5.97 / MAX: 6.57MIN: 1.91 / MAX: 2.03MIN: 7.03 / MAX: 7.62MIN: 4.49 / MAX: 5.07MIN: 3.18 / MAX: 3.41MIN: 4.8 / MAX: 5.35MIN: 2.46 / MAX: 2.62MIN: 1.61 / MAX: 1.72MIN: 4.38 / MAX: 4.8MIN: 6.04 / MAX: 6.75MIN: 7.58 / MAX: 8.26

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.0090.0180.0270.0360.0450.040.030.020.020.040.020.040.030.010.030.030.010.030.030.04

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 37.824.172.911.506.752.147.925.043.575.542.741.844.926.818.64MIN: 7.53 / MAX: 7.98MIN: 4.11 / MAX: 4.26MIN: 2.88 / MAX: 2.96MIN: 1.48 / MAX: 1.54MIN: 6.64 / MAX: 6.79MIN: 2.08 / MAX: 2.17MIN: 7.72 / MAX: 8.01MIN: 4.94 / MAX: 5.12MIN: 3.48 / MAX: 3.63MIN: 5.5 / MAX: 5.57MIN: 2.69 / MAX: 2.78MIN: 1.81 / MAX: 1.92MIN: 4.81 / MAX: 5.05MIN: 6.61 / MAX: 6.89MIN: 8.32 / MAX: 8.76

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.0090.0180.0270.0360.0450.040.030.020.020.040.020.040.030.020.030.030.010.030.040.04

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774214K28K42K56K70KSE +/- 487.40, N = 3SE +/- 87.62, N = 3SE +/- 114.11, N = 3SE +/- 44.44, N = 3SE +/- 328.54, N = 3SE +/- 80.88, N = 3SE +/- 467.21, N = 3SE +/- 264.62, N = 15SE +/- 71.92, N = 3SE +/- 391.02, N = 6SE +/- 122.98, N = 3SE +/- 31.21, N = 3SE +/- 397.54, N = 5SE +/- 179.29, N = 3SE +/- 500.73, N = 3627543318423486111365357017550622953708527132389042202214204362235444566639

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples Per Watt, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774280160240320400353.18235.77202.24152.41328.86185.79364.02275.92127.66257.36233.63124.47243.18306.53342.54

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742510152025SE +/- 0.043, N = 3SE +/- 0.014, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.038, N = 3SE +/- 0.010, N = 3SE +/- 0.063, N = 3SE +/- 0.031, N = 3SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.016, N = 3SE +/- 0.035, N = 3SE +/- 0.050, N = 319.0959.6306.5753.11715.9844.85519.06211.8547.68412.7386.2143.88311.53116.23020.743

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.02250.0450.06750.090.11250.100.060.050.040.090.050.100.080.030.080.060.030.070.090.10

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423691215SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.001, N = 3SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.020, N = 3SE +/- 0.010, N = 38.8114.4943.1291.4567.5552.2898.8985.4773.4615.9502.9321.8085.4157.5969.671

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.01130.02260.03390.04520.05650.050.030.030.020.040.020.050.040.020.030.030.020.030.040.05

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 342.5647.4152.7575.3343.8460.2043.0645.4446.5444.5555.2259.5646.1043.8241.87

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.26, N = 7SE +/- 0.47, N = 4SE +/- 0.65, N = 4SE +/- 0.42, N = 3SE +/- 0.30, N = 6SE +/- 0.59, N = 3SE +/- 0.28, N = 6SE +/- 0.42, N = 4SE +/- 0.43, N = 3SE +/- 0.41, N = 4SE +/- 0.75, N = 3SE +/- 0.46, N = 3SE +/- 0.42, N = 4SE +/- 0.30, N = 6SE +/- 0.25, N = 728.1341.5053.40101.0930.2169.6127.9836.3946.9134.5557.9179.6636.8530.0826.72

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742918273645SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 317.1220.4323.5537.7218.0628.2217.1919.4121.6318.9425.4628.6019.2717.6716.76

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742160320480640800SE +/- 1.73, N = 3SE +/- 3.16, N = 9SE +/- 5.04, N = 4SE +/- 2.05, N = 3SE +/- 1.44, N = 3SE +/- 0.47, N = 3SE +/- 0.89, N = 3SE +/- 2.29, N = 3SE +/- 2.67, N = 3SE +/- 1.12, N = 3SE +/- 3.68, N = 3SE +/- 0.89, N = 3SE +/- 1.56, N = 3SE +/- 1.29, N = 3SE +/- 0.11, N = 3234.21312.70404.33763.56245.40529.62233.51289.36343.39275.35440.00581.30280.78243.92224.90

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421530456075SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 324.0332.0739.7468.5025.5049.9223.9829.1233.9827.8642.8654.1529.2325.2123.03

Timed MPlayer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421020304050SE +/- 0.04, N = 4SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 4SE +/- 0.03, N = 3SE +/- 0.03, N = 4SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.02, N = 412.9918.5924.0645.5913.8231.1412.9616.4620.5715.6926.2735.2516.3813.7112.33

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.22, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.29, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 367.9776.6587.66145.4469.86105.7168.2974.2075.8571.4694.35113.2674.4869.4366.25

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424080120160200SE +/- 0.31, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.32, N = 3SE +/- 0.10, N = 3SE +/- 0.26, N = 3SE +/- 0.21, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 362.5676.1696.77172.1362.48122.4162.2769.4284.2166.57103.74136.6269.6261.8160.37

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774248121620SE +/- 0.163720, N = 4SE +/- 0.025438, N = 3SE +/- 0.017716, N = 3SE +/- 0.010754, N = 3SE +/- 0.083534, N = 3SE +/- 0.008716, N = 3SE +/- 0.099835, N = 4SE +/- 0.066319, N = 3SE +/- 0.028662, N = 3SE +/- 0.091101, N = 3SE +/- 0.037637, N = 3SE +/- 0.039059, N = 3SE +/- 0.072162, N = 3SE +/- 0.030087, N = 3SE +/- 0.190487, N = 415.6148127.2082354.9637151.58370412.7350313.46400316.8811689.3269094.8976538.8633364.4524193.0115959.82887113.94246516.2988521. (CC) gcc options: -O3 -march=native -fopenmp

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.02480.04960.07440.09920.1240.110.060.050.020.100.050.110.070.030.070.050.030.060.080.11

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425K10K15K20K25KSE +/- 112.07, N = 3SE +/- 63.07, N = 3SE +/- 68.60, N = 3SE +/- 28.76, N = 3SE +/- 61.33, N = 3SE +/- 48.79, N = 9SE +/- 121.22, N = 3SE +/- 137.10, N = 3SE +/- 118.03, N = 3SE +/- 162.55, N = 3SE +/- 27.68, N = 3SE +/- 74.25, N = 4SE +/- 215.40, N = 3SE +/- 197.00, N = 3SE +/- 145.73, N = 320185.5012173.7010427.203350.2216990.106100.1820993.1012067.3013692.3011976.906587.576907.5418311.7021472.3021495.201. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425K10K15K20K25KSE +/- 197.85, N = 2SE +/- 82.20, N = 3SE +/- 0.00, N = 3SE +/- 50.92, N = 3SE +/- 0.00, N = 3SE +/- 54.85, N = 9SE +/- 101.60, N = 3SE +/- 0.00, N = 3SE +/- 136.29, N = 3SE +/- 69.42, N = 3SE +/- 66.13, N = 4SE +/- 233.09, N = 3SE +/- 111.87, N = 3SE +/- 108.20, N = 220382.2013892.5012204.403879.1017300.807130.8920991.7012698.2016399.7012699.507358.198265.9920585.3023040.7021311.901. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150116.25123.63132.0562.30117.1197.15123.10104.15117.06105.6292.7793.74137.34139.29120.45

ASKAP

Test: tConvolve OpenMP - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422K4K6K8K10KSE +/- 0.00, N = 4SE +/- 72.46, N = 4SE +/- 57.68, N = 5SE +/- 7.61, N = 4SE +/- 77.48, N = 4SE +/- 17.38, N = 4SE +/- 0.00, N = 4SE +/- 79.54, N = 4SE +/- 0.00, N = 4SE +/- 67.99, N = 4SE +/- 0.00, N = 4SE +/- 35.30, N = 4SE +/- 63.04, N = 4SE +/- 81.97, N = 4SE +/- 211.93, N = 159509.146379.885503.592840.138454.704004.089509.146617.902113.146658.484294.454035.118257.479427.179177.921. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774215003000450060007500SE +/- 47.34, N = 4SE +/- 35.55, N = 4SE +/- 37.73, N = 3SE +/- 6.46, N = 4SE +/- 36.86, N = 4SE +/- 10.02, N = 4SE +/- 42.67, N = 4SE +/- 0.00, N = 4SE +/- 3.57, N = 4SE +/- 0.00, N = 4SE +/- 10.27, N = 4SE +/- 30.11, N = 2SE +/- 38.66, N = 4SE +/- 40.59, N = 4SE +/- 22.42, N = 157148.775726.605509.302616.816302.573257.046699.075788.171406.935788.173317.934004.086455.406615.816679.711. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422040608010096.86109.78103.7658.97100.0572.5392.78108.4917.31108.4672.9170.1989.4493.6393.06

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421632486480SE +/- 0.05, N = 4SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.05, N = 3SE +/- 0.07, N = 4SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.12, N = 1514.7020.3525.2169.9115.2848.2914.0319.0722.8318.6145.4636.8015.2913.6614.401. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422004006008001000SE +/- 1.46, N = 3SE +/- 0.40, N = 3SE +/- 0.19, N = 3SE +/- 0.40, N = 3SE +/- 0.82, N = 3SE +/- 0.49, N = 3SE +/- 0.53, N = 3SE +/- 0.42, N = 3SE +/- 0.51, N = 3SE +/- 0.71, N = 3SE +/- 1.22, N = 3SE +/- 1.50, N = 3SE +/- 0.79, N = 3SE +/- 1.18, N = 3SE +/- 1.50, N = 3954.20962.88943.29876.45956.82919.01966.04974.401062.32983.45928.431039.60949.15963.00969.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425101520259.7215.1816.0118.6712.1218.6710.4815.0411.4315.3218.1216.0311.2510.7810.41

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422004006008001000SE +/- 3.26, N = 3SE +/- 2.49, N = 3SE +/- 1.97, N = 3SE +/- 1.85, N = 3SE +/- 3.34, N = 3SE +/- 3.25, N = 3SE +/- 7.17, N = 3SE +/- 3.41, N = 3SE +/- 5.28, N = 3SE +/- 3.23, N = 3SE +/- 3.07, N = 3SE +/- 2.91, N = 3SE +/- 1.89, N = 3SE +/- 1.66, N = 3SE +/- 6.63, N = 3861.35899.45898.21861.07895.52864.62897.59898.84773.86908.46858.54967.37895.33903.30902.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774251015202510.7516.5316.7919.6913.3719.3611.6116.039.5316.6118.4816.6811.9412.1311.55

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77426K12K18K24K30KSE +/- 189.69, N = 6SE +/- 228.79, N = 5SE +/- 278.67, N = 4SE +/- 130.62, N = 3SE +/- 149.83, N = 11SE +/- 251.88, N = 3SE +/- 203.19, N = 6SE +/- 303.68, N = 3SE +/- 205.94, N = 13SE +/- 300.22, N = 3SE +/- 162.08, N = 13SE +/- 296.05, N = 4SE +/- 233.41, N = 5SE +/- 208.12, N = 5SE +/- 248.77, N = 319062.9221653.9122339.8523230.1920634.2023807.6719915.0021272.0424205.5421442.0022574.8027135.6320967.4820036.1918909.101. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742110220330440550211.71372.78405.87531.57278.09527.48231.24356.46283.96365.15475.56446.35261.72242.20215.38

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230K60K90K120K150KSE +/- 1033.87, N = 15SE +/- 134.09, N = 10SE +/- 80.44, N = 9SE +/- 139.55, N = 9SE +/- 375.36, N = 8SE +/- 22.37, N = 11SE +/- 1366.04, N = 15SE +/- 160.95, N = 8SE +/- 308.97, N = 9SE +/- 143.74, N = 9SE +/- 71.59, N = 9SE +/- 37.94, N = 10SE +/- 154.09, N = 8SE +/- 641.51, N = 9SE +/- 1018.84, N = 15145868.29111563.8484316.2344242.98135838.1261838.52155375.98136276.5071767.96144583.8776796.0454800.99135786.94149967.74148358.571. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742300600900120015001260.431403.881116.04839.581263.451139.681389.251457.28604.591396.951200.32805.561272.001309.221214.72

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260120180240300SE +/- 0.15, N = 3SE +/- 0.46, N = 3SE +/- 0.19, N = 3SE +/- 0.67, N = 3SE +/- 0.11, N = 3SE +/- 0.37, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.87, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 3SE +/- 0.19, N = 381.06116.41139.15271.1686.74205.8978.39105.67165.41103.30177.91200.4193.2479.9878.011. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774248121620SE +/- 0.03096, N = 3SE +/- 0.01008, N = 3SE +/- 0.07483, N = 3SE +/- 0.00542, N = 3SE +/- 0.00667, N = 3SE +/- 0.00448, N = 3SE +/- 0.00378, N = 3SE +/- 0.00324, N = 3SE +/- 0.05299, N = 11SE +/- 0.00275, N = 3SE +/- 0.00263, N = 3SE +/- 0.06375, N = 3SE +/- 0.00249, N = 3SE +/- 0.00479, N = 3SE +/- 0.00350, N = 317.3075015.5629015.632908.6466116.649409.0974317.3863015.292007.0892515.279409.0515412.9560017.9677017.6850017.376301. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.03150.0630.09450.1260.15750.090.120.140.110.100.110.090.110.050.120.100.110.100.100.09

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429001800270036004500SE +/- 36.48, N = 3SE +/- 37.84, N = 3SE +/- 46.66, N = 4SE +/- 25.83, N = 3SE +/- 31.29, N = 9SE +/- 37.21, N = 3SE +/- 47.38, N = 4SE +/- 43.10, N = 4SE +/- 38.21, N = 3SE +/- 9.42, N = 3SE +/- 17.87, N = 3SE +/- 33.69, N = 3SE +/- 42.46, N = 3SE +/- 44.49, N = 4SE +/- 21.82, N = 33762.493765.853792.813589.933793.173634.173837.563853.504367.123988.943756.964336.413830.203816.083937.231. (CC) gcc options: -O3 -mavx2

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422040608010051.6273.5073.2483.0962.4282.9853.8575.0557.5577.4384.3675.9553.9656.7856.01

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742100200300400500SE +/- 0.50, N = 3SE +/- 0.20, N = 3SE +/- 0.25, N = 3SE +/- 1.04, N = 3SE +/- 1.22, N = 3SE +/- 0.37, N = 3SE +/- 0.75, N = 3SE +/- 0.52, N = 3SE +/- 0.68, N = 3SE +/- 0.39, N = 3SE +/- 0.47, N = 3SE +/- 0.12, N = 3SE +/- 0.57, N = 3SE +/- 0.73, N = 3SE +/- 0.47, N = 3224.62200.21262.63450.85206.58325.84206.95189.66230.94187.60270.72375.70193.92195.34213.091. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250M100M150M200M250MSE +/- 2966178.44, N = 15SE +/- 481377.88, N = 4SE +/- 3144064.63, N = 15SE +/- 1075776.09, N = 4SE +/- 1883204.11, N = 15SE +/- 1366026.89, N = 3SE +/- 2208966.30, N = 15SE +/- 2175939.87, N = 3SE +/- 574642.20, N = 15SE +/- 3811837.38, N = 15SE +/- 927929.45, N = 9SE +/- 1036502.10, N = 15SE +/- 5452949.69, N = 15SE +/- 5572341.62, N = 12SE +/- 4938353.34, N = 12199683960209811150162898387100898758211310307121256433215771227176798867714133941873970071124897221295369202165251332308517832120542001. (CXX) g++ options: -O3 -fopenmp

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.4EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742400K800K1200K1600K2000K1423158.291932212.231638766.481349588.101673028.981508621.961604877.741575405.35514628.711635500.081357552.351163515.811673190.411663875.881441967.52

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742510152025SE +/- 0.257, N = 15SE +/- 0.089, N = 15SE +/- 0.024, N = 10SE +/- 0.002, N = 8SE +/- 0.286, N = 15SE +/- 0.008, N = 9SE +/- 0.301, N = 15SE +/- 0.286, N = 15SE +/- 0.028, N = 11SE +/- 0.252, N = 15SE +/- 0.026, N = 10SE +/- 0.003, N = 9SE +/- 0.178, N = 15SE +/- 0.291, N = 15SE +/- 0.158, N = 1519.99714.03810.3745.23718.5067.58221.76315.68511.52116.5649.6856.47016.26519.32821.3201. (CXX) g++ options: -O3 -pthread -lm

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.06530.13060.19590.26120.32650.250.230.180.110.260.150.290.250.140.260.180.100.220.250.27

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742612182430SE +/- 0.024, N = 3SE +/- 0.010, N = 3SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.112, N = 3SE +/- 0.023, N = 3SE +/- 0.056, N = 3SE +/- 0.059, N = 3SE +/- 0.053, N = 3SE +/- 0.062, N = 3SE +/- 0.021, N = 3SE +/- 0.004, N = 3SE +/- 0.016, N = 3SE +/- 0.029, N = 3SE +/- 0.042, N = 324.81814.90710.6025.40622.0467.73725.20617.61411.75718.1569.8896.70517.52522.44226.2811. (CXX) g++ options: -O3 -pthread -lm

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.03150.0630.09450.1260.15750.130.100.090.070.130.080.140.120.060.110.100.060.100.110.13

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423K6K9K12K15KSE +/- 146.93, N = 12SE +/- 9.05, N = 6SE +/- 8.39, N = 6SE +/- 11.79, N = 6SE +/- 60.62, N = 4SE +/- 38.61, N = 6SE +/- 142.13, N = 3SE +/- 131.70, N = 5SE +/- 40.17, N = 6SE +/- 157.59, N = 4SE +/- 15.52, N = 6SE +/- 12.34, N = 6SE +/- 43.36, N = 4SE +/- 58.13, N = 4SE +/- 138.93, N = 714612.218024.377954.156757.9913435.306871.9314603.3312840.646839.1713099.626954.808720.8813938.2514015.6614778.641. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230609012015091.64122.19122.94117.45118.64116.7895.62123.9469.83125.40119.53114.72113.53109.4893.91

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424K8K12K16K20KSE +/- 34.52, N = 3SE +/- 5.98, N = 3SE +/- 24.99, N = 3SE +/- 10.40, N = 3SE +/- 68.31, N = 3SE +/- 16.20, N = 3SE +/- 5.01, N = 3SE +/- 22.39, N = 3SE +/- 66.01, N = 14SE +/- 5.12, N = 3SE +/- 1.40, N = 3SE +/- 8.04, N = 3SE +/- 8.80, N = 3SE +/- 29.81, N = 3SE +/- 8.90, N = 319155.4016743.6017082.4010156.6018424.1010066.6019256.7016649.506787.0616649.7010003.6017351.2019645.4019436.3019245.901. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424080120160200139.02160.96181.39147.34149.38132.41142.84152.2152.66157.73128.37167.09152.28140.60132.02

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260120180240300SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 32422172282762232502392141972152392212152192281. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Montage Astronomical Image Mosaic Engine

Mosaic of M17, K band, 1.5 deg x 1.5 deg

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.28, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 394.7693.9295.4598.4195.5398.3195.5693.8680.9492.7798.2480.8595.4895.3993.171. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.61321.22641.83962.45283.066SE +/- 0.00053, N = 3SE +/- 0.00125, N = 3SE +/- 0.00048, N = 3SE +/- 0.00080, N = 3SE +/- 0.00037, N = 3SE +/- 0.00045, N = 3SE +/- 0.00014, N = 3SE +/- 0.00041, N = 3SE +/- 0.00173, N = 3SE +/- 0.00071, N = 3SE +/- 0.00125, N = 3SE +/- 0.00063, N = 3SE +/- 0.00074, N = 3SE +/- 0.00034, N = 3SE +/- 0.00033, N = 30.492640.937051.350582.725530.574841.838950.489080.774391.143750.715491.451452.229490.790790.570480.44627

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.08862.17723.26584.35445.443SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.008, N = 3SE +/- 0.011, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.013, N = 3SE +/- 0.023, N = 34.3732.7412.0140.9853.8631.4094.5413.1281.9953.3231.6771.3453.2674.1174.8381. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.00680.01360.02040.02720.0340.020.020.020.010.020.010.030.020.010.020.020.010.020.020.03

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429001800270036004500SE +/- 13.78, N = 10SE +/- 1.48, N = 7SE +/- 0.45, N = 6SE +/- 0.60, N = 4SE +/- 9.01, N = 9SE +/- 0.17, N = 5SE +/- 10.02, N = 10SE +/- 3.24, N = 8SE +/- 0.69, N = 6SE +/- 4.60, N = 8SE +/- 0.78, N = 6SE +/- 0.27, N = 4SE +/- 5.08, N = 8SE +/- 6.29, N = 9SE +/- 12.44, N = 103908.231806.541191.90578.123252.13867.813967.282368.691407.622375.481155.88704.692318.443310.344195.621. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742102030405041.1121.0216.0610.5236.2813.7742.5827.2911.8128.1017.469.0222.6132.4542.56

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429001800270036004500SE +/- 9.06, N = 3SE +/- 1.11, N = 3SE +/- 3.28, N = 3SE +/- 0.03, N = 3SE +/- 6.05, N = 3SE +/- 7.84, N = 3SE +/- 9.36, N = 3SE +/- 4.32, N = 3SE +/- 0.05, N = 3SE +/- 5.63, N = 3SE +/- 1.25, N = 3SE +/- 0.03, N = 3SE +/- 1.11, N = 3SE +/- 8.46, N = 3SE +/- 12.08, N = 33989.791813.291190.48579.183292.84860.014019.092380.271410.592389.761156.26705.212333.543322.994269.261. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774261218243023.4914.0112.249.2420.6411.0724.1816.638.3017.2013.477.5614.3218.0522.89

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7702EPYC 7302PEPYC 7232PEPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 774212K24K36K48K60KSE +/- 40.27, N = 5SE +/- 19.15, N = 4SE +/- 23.87, N = 3SE +/- 50.60, N = 5SE +/- 36.50, N = 5SE +/- 44.41, N = 3SE +/- 17.91, N = 5SE +/- 23.10, N = 4SE +/- 10.84, N = 4SE +/- 17.78, N = 5SE +/- 93.63, N = 655136.5037175.2021822.0655668.6346206.3322117.1747098.2229526.9727284.6949235.9256055.871. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7702EPYC 7302PEPYC 7232PEPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7742100200300400500399.60398.01297.55419.28440.80153.51436.08373.22260.77395.37398.20

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 34.41, N = 3SE +/- 81.46, N = 3SE +/- 3.68, N = 3SE +/- 12.95, N = 3SE +/- 82.31, N = 3SE +/- 24.66, N = 3SE +/- 298.03, N = 3SE +/- 106.91, N = 3SE +/- 82.34, N = 3SE +/- 207.08, N = 3SE +/- 22.56, N = 3SE +/- 31.62, N = 3SE +/- 26.26, N = 3SE +/- 281.17, N = 3SE +/- 491.67, N = 3102548.9574421.6161041.2733816.4895079.4143321.38103985.9178846.9644891.6979644.8849617.9243172.5186547.2899557.23105428.671. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742140280420560700629.05607.37593.84486.72655.10529.25660.15616.99297.36638.72573.26419.08572.31602.66617.60

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7702EPYC 7302PEPYC 7232PEPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7742400800120016002000SE +/- 4.04, N = 3SE +/- 2.26, N = 3SE +/- 2.89, N = 3SE +/- 11.89, N = 3SE +/- 3.36, N = 3SE +/- 9.24, N = 3SE +/- 5.74, N = 3SE +/- 1.26, N = 3SE +/- 5.70, N = 3SE +/- 1.95, N = 3SE +/- 3.31, N = 31971.501647.781083.362006.811884.31934.001885.981422.071277.151992.762007.421. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7702EPYC 7302PEPYC 7232PEPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 774251015202512.9019.5518.4813.4917.737.2918.1519.3915.3615.3213.27

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7702EPYC 7302PEPYC 7232PEPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 774211K22K33K44K55KSE +/- 224.56, N = 8SE +/- 17.34, N = 8SE +/- 37.32, N = 7SE +/- 122.43, N = 8SE +/- 76.06, N = 8SE +/- 80.46, N = 5SE +/- 86.13, N = 8SE +/- 23.57, N = 6SE +/- 20.16, N = 8SE +/- 218.93, N = 8SE +/- 292.47, N = 851795.6147349.2930311.9452245.2344082.9521714.6544205.8029776.8145336.8952022.7651593.621. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7702EPYC 7302PEPYC 7232PEPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7742140280420560700476.11660.02525.61490.40538.87197.31555.62463.71592.89520.26466.23

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7702EPYC 7302PEPYC 7232PEPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 77424K8K12K16K20KSE +/- 15.75, N = 5SE +/- 15.81, N = 5SE +/- 22.89, N = 4SE +/- 27.38, N = 5SE +/- 69.28, N = 5SE +/- 43.06, N = 3SE +/- 30.70, N = 5SE +/- 18.07, N = 4SE +/- 18.04, N = 4SE +/- 25.61, N = 5SE +/- 12.30, N = 515079.0815688.579844.9515230.2314759.407779.4914977.299697.8312350.8718019.0115249.721. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7702EPYC 7302PEPYC 7232PEPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 77424080120160200103.87159.36136.77107.24129.3456.39137.33119.50120.79137.3099.25

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774280160240320400SE +/- 0.70, N = 3SE +/- 0.30, N = 3SE +/- 1.35, N = 3SE +/- 0.53, N = 3SE +/- 0.35, N = 3SE +/- 0.30, N = 3SE +/- 0.41, N = 3SE +/- 0.31, N = 3SE +/- 0.20, N = 3SE +/- 0.40, N = 3SE +/- 0.76, N = 3SE +/- 0.65, N = 3SE +/- 0.48, N = 3SE +/- 0.24, N = 3SE +/- 0.66, N = 3306.50307.47301.28270.83303.45298.27303.21309.10348.66311.97296.96345.36303.33303.75308.39

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422468104.185.985.856.254.976.824.225.964.566.056.726.034.234.464.33

OpenFOAM

Input: Motorbike 30M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 323.3533.8140.87113.1625.1767.2322.8330.6239.8929.6256.5760.5026.5323.4322.361. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm

OpenFOAM

Input: Motorbike 60M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742120240360480600SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.15, N = 3SE +/- 0.29, N = 3SE +/- 0.13, N = 3SE +/- 1.13, N = 3SE +/- 0.24, N = 3SE +/- 0.44, N = 3SE +/- 1.71, N = 3SE +/- 0.59, N = 3SE +/- 0.84, N = 3SE +/- 0.36, N = 3SE +/- 0.57, N = 3SE +/- 0.31, N = 3SE +/- 0.14, N = 3233.34314.06313.64573.04260.78530.10232.98320.20454.84319.87520.45362.74236.99233.73232.401. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm

Parboil

Test: OpenMP LBM

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP LBMEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421020304050SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 3SE +/- 0.07, N = 3SE +/- 0.26, N = 5SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 1123.3229.0224.9245.7626.4742.9523.8227.6035.4227.6446.0727.2522.9421.9423.331. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

Quantum ESPRESSO

Input: AUSURF112

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742400800120016002000SE +/- 1.52, N = 3SE +/- 1.29, N = 3SE +/- 5.19, N = 3SE +/- 0.83, N = 3SE +/- 16.58, N = 4SE +/- 1.18, N = 3SE +/- 1.64, N = 3SE +/- 5.50, N = 3SE +/- 11.50, N = 3SE +/- 3.48, N = 3SE +/- 4.40, N = 3SE +/- 0.33, N = 3SE +/- 6.34, N = 3SE +/- 22.87, N = 9SE +/- 1.20, N = 31208.311342.141403.521656.881329.901520.431216.501386.781357.301317.271456.821356.261403.871372.731168.321. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742612182430SE +/- 0.066, N = 8SE +/- 0.007, N = 4SE +/- 0.022, N = 4SE +/- 0.030, N = 3SE +/- 0.083, N = 6SE +/- 0.065, N = 3SE +/- 0.051, N = 15SE +/- 0.030, N = 5SE +/- 0.022, N = 4SE +/- 0.005, N = 5SE +/- 0.009, N = 4SE +/- 0.078, N = 3SE +/- 0.057, N = 5SE +/- 0.073, N = 5SE +/- 0.061, N = 67.81911.57715.44525.3748.40518.1347.7479.89213.5309.80614.79222.2189.8588.4347.6831. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260120180240300SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.51, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 354.71103.00147.38296.6964.21200.3554.6585.01125.5379.11157.17243.8487.5663.4750.341. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.61, N = 14SE +/- 0.25, N = 3SE +/- 1.14, N = 3SE +/- 0.41, N = 3SE +/- 0.82, N = 15SE +/- 0.53, N = 3SE +/- 0.47, N = 3SE +/- 0.26, N = 3SE +/- 0.52, N = 3SE +/- 0.28, N = 3SE +/- 0.76, N = 10SE +/- 0.11, N = 3SE +/- 0.42, N = 3SE +/- 0.47, N = 15SE +/- 0.51, N = 1548.7259.6598.19148.2047.43107.9747.3757.9890.5257.6899.72130.9859.4446.5347.171. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742510152025SE +/- 0.017, N = 5SE +/- 0.042, N = 4SE +/- 0.034, N = 3SE +/- 0.040, N = 4SE +/- 0.119, N = 4SE +/- 0.079, N = 3SE +/- 0.030, N = 5SE +/- 0.007, N = 4SE +/- 0.049, N = 4SE +/- 0.022, N = 4SE +/- 0.159, N = 8SE +/- 0.017, N = 3SE +/- 0.016, N = 5SE +/- 0.074, N = 15SE +/- 0.008, N = 58.92814.76117.72915.54012.02716.8958.90514.32015.04914.31618.18919.7079.9139.1858.7911. (CXX) g++ options: -O2 -lOpenCL

Timed MrBayes Analysis

Primate Phylogeny Analysis

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.25, N = 3SE +/- 0.29, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 1.17, N = 4SE +/- 0.05, N = 3SE +/- 1.02, N = 3SE +/- 0.21, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.34, N = 3SE +/- 0.17, N = 3SE +/- 1.35, N = 3115.2786.0085.9388.67104.5287.60116.1594.2672.4386.7289.2072.8996.81102.45108.221. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425001000150020002500196519261660111220491372212220221456210715381301204321252069

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230060090012001500112415461459109413481307121914881159153413841173147514031179

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77428001600240032004000308934723119220633972679334135102615364129222474351835283248

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore Per Watt, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774281624324026.2832.5332.2329.2131.2032.9027.2733.5617.2033.4935.4521.3227.6227.6826.93

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774240K80K120K160K200KSE +/- 182.06, N = 3SE +/- 92.46, N = 3SE +/- 37.21, N = 3SE +/- 139.37, N = 3SE +/- 1549.72, N = 7SE +/- 272.29, N = 3SE +/- 146.69, N = 3SE +/- 187.42, N = 3SE +/- 1333.26, N = 3SE +/- 120.93, N = 3SE +/- 76.96, N = 3SE +/- 101.93, N = 3SE +/- 106.86, N = 3SE +/- 114.49, N = 3SE +/- 204.77, N = 31289651546931525391515591718851548711276991687281513271625441557631405581725081738121237711. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774290K180K270K360K450KSE +/- 730.51, N = 3SE +/- 338.07, N = 3SE +/- 60.14, N = 3SE +/- 533.40, N = 3SE +/- 18239.03, N = 9SE +/- 226.68, N = 3SE +/- 1226.45, N = 3SE +/- 440.86, N = 3SE +/- 1699.46, N = 3SE +/- 147.16, N = 3SE +/- 456.29, N = 3SE +/- 95.91, N = 3SE +/- 422.64, N = 3SE +/- 10886.13, N = 9SE +/- 198.26, N = 33474843910153871733690273996103783673456264279673820204116813886993401684419784298753326281. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77426001200180024003000SE +/- 14.38, N = 3SE +/- 20.26, N = 3SE +/- 13.76, N = 9SE +/- 4.36, N = 3SE +/- 27.18, N = 3SE +/- 7.54, N = 3SE +/- 41.44, N = 9SE +/- 23.71, N = 9SE +/- 31.35, N = 9SE +/- 20.09, N = 3SE +/- 3.71, N = 3SE +/- 22.57, N = 9SE +/- 22.27, N = 9SE +/- 26.91, N = 3SE +/- 29.59, N = 926991521125374719699462376155917581666104210521735220326231. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424812162014.9511.2611.299.4412.8210.3314.5811.378.6010.8311.098.9811.3312.8614.46

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77426001200180024003000SE +/- 26.03, N = 3SE +/- 5.90, N = 3SE +/- 12.27, N = 9SE +/- 8.88, N = 3SE +/- 31.31, N = 9SE +/- 11.79, N = 9SE +/- 29.49, N = 9SE +/- 14.82, N = 9SE +/- 17.43, N = 5SE +/- 9.84, N = 3SE +/- 11.49, N = 9SE +/- 16.37, N = 9SE +/- 20.90, N = 3SE +/- 37.70, N = 9SE +/- 28.78, N = 926861439123368119279252408153916991617105111041769231126561. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424812162015.0610.5610.978.6112.5510.0514.7511.098.3910.3011.068.9811.2613.4114.74

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.0EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423691215SE +/- 0.014, N = 3SE +/- 0.114, N = 3SE +/- 0.061, N = 15SE +/- 0.071, N = 11SE +/- 0.271, N = 15SE +/- 0.115, N = 4SE +/- 0.018, N = 3SE +/- 0.048, N = 3SE +/- 0.064, N = 3SE +/- 0.252, N = 15SE +/- 0.027, N = 3SE +/- 0.062, N = 14SE +/- 0.016, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 38.3758.9789.5049.6508.1429.7687.5427.49310.2097.6259.6109.3577.3387.4797.684MIN: 8.25 / MAX: 8.55MIN: 8.7 / MAX: 10.42MIN: 9.01 / MAX: 25.56MIN: 9.16 / MAX: 25.96MIN: 7.43 / MAX: 13.26MIN: 9.3 / MAX: 12.44MIN: 7.38 / MAX: 8.01MIN: 7.29 / MAX: 9.78MIN: 10.06 / MAX: 11.23MIN: 7.08 / MAX: 14.04MIN: 9.28 / MAX: 25.71MIN: 8.98 / MAX: 23.95MIN: 7.23 / MAX: 7.87MIN: 7.34 / MAX: 8.04MIN: 7.56 / MAX: 8.111. (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

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-50EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742918273645SE +/- 0.07, N = 3SE +/- 0.97, N = 3SE +/- 0.09, N = 15SE +/- 0.12, N = 11SE +/- 0.05, N = 15SE +/- 0.11, N = 4SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 15SE +/- 0.12, N = 3SE +/- 0.01, N = 14SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 326.9229.0231.5431.4425.4438.1025.2225.0633.5024.3033.5927.4525.2724.7825.46MIN: 26.49 / MAX: 27.67MIN: 27.23 / MAX: 33.12MIN: 30.05 / MAX: 48.95MIN: 30.44 / MAX: 49.82MIN: 24.73 / MAX: 28.58MIN: 36.85 / MAX: 55.75MIN: 24.73 / MAX: 27.24MIN: 24.51 / MAX: 27.82MIN: 32.85 / MAX: 46.41MIN: 23.72 / MAX: 27.28MIN: 32.54 / MAX: 48.77MIN: 27.01 / MAX: 58.07MIN: 24.96 / MAX: 28.42MIN: 24.46 / MAX: 25.37MIN: 25.03 / MAX: 27.671. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_224EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.016, N = 3SE +/- 0.026, N = 3SE +/- 0.046, N = 15SE +/- 0.030, N = 11SE +/- 0.008, N = 15SE +/- 0.155, N = 4SE +/- 0.022, N = 3SE +/- 0.028, N = 3SE +/- 0.391, N = 3SE +/- 0.009, N = 15SE +/- 0.033, N = 3SE +/- 0.017, N = 14SE +/- 0.022, N = 3SE +/- 0.016, N = 3SE +/- 0.020, N = 35.0675.2705.7724.9444.8525.9304.9204.8208.1714.7135.8554.5784.8214.8254.919MIN: 4.95 / MAX: 5.21MIN: 5.12 / MAX: 6.52MIN: 5.46 / MAX: 20.47MIN: 4.74 / MAX: 7.04MIN: 4.69 / MAX: 5.21MIN: 5.53 / MAX: 20.6MIN: 4.78 / MAX: 5.1MIN: 4.67 / MAX: 6.92MIN: 7.28 / MAX: 12.17MIN: 4.51 / MAX: 6.85MIN: 5.58 / MAX: 23.16MIN: 4.43 / MAX: 10.46MIN: 4.72 / MAX: 5.31MIN: 4.71 / MAX: 5.16MIN: 4.81 / MAX: 5.231. (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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.0EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.30012.60023.90035.20046.5005SE +/- 0.015, N = 3SE +/- 0.012, N = 3SE +/- 0.005, N = 15SE +/- 0.007, N = 11SE +/- 0.004, N = 15SE +/- 0.015, N = 4SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.401, N = 3SE +/- 0.005, N = 15SE +/- 0.060, N = 3SE +/- 0.002, N = 14SE +/- 0.008, N = 3SE +/- 0.024, N = 3SE +/- 0.009, N = 33.1873.2133.8563.9173.0225.3223.0732.9275.7782.8364.0813.6253.0033.0563.127MIN: 3.13 / MAX: 3.28MIN: 3.15 / MAX: 4.81MIN: 3.74 / MAX: 20.71MIN: 3.79 / MAX: 19.86MIN: 2.96 / MAX: 3.4MIN: 5.22 / MAX: 13.18MIN: 3.03 / MAX: 3.22MIN: 2.87 / MAX: 5.27MIN: 4.65 / MAX: 7.24MIN: 2.77 / MAX: 4.94MIN: 3.8 / MAX: 20.13MIN: 3.57 / MAX: 17.34MIN: 2.95 / MAX: 3.25MIN: 2.98 / MAX: 3.31MIN: 3.07 / MAX: 3.451. (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

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421020304050SE +/- 0.26, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.35, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.48, N = 3SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.24, N = 3SE +/- 0.40, N = 333.2734.3134.8445.2133.9638.0733.4132.6529.4532.8736.3535.6733.4333.6032.62

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423691215SE +/- 0.029, N = 6SE +/- 0.041, N = 6SE +/- 0.018, N = 6SE +/- 0.047, N = 4SE +/- 0.025, N = 6SE +/- 0.043, N = 5SE +/- 0.038, N = 6SE +/- 0.020, N = 6SE +/- 0.016, N = 6SE +/- 0.016, N = 6SE +/- 0.033, N = 6SE +/- 0.034, N = 5SE +/- 0.044, N = 6SE +/- 0.036, N = 6SE +/- 0.030, N = 66.9307.1217.64511.9127.0338.7986.9716.9896.5866.9008.1059.7907.2207.0636.824

Numenta Anomaly Benchmark

Detector: Relative Entropy

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742612182430SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 4SE +/- 0.17, N = 3SE +/- 0.10, N = 4SE +/- 0.15, N = 4SE +/- 0.08, N = 4SE +/- 0.06, N = 4SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 4SE +/- 0.13, N = 4SE +/- 0.05, N = 415.9416.1217.1823.5615.9719.1115.9715.8514.6015.7218.1018.8816.3315.8915.57

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.05, N = 3SE +/- 0.58, N = 3SE +/- 0.45, N = 3SE +/- 1.44, N = 3SE +/- 1.10, N = 3SE +/- 0.64, N = 3SE +/- 0.45, N = 3SE +/- 0.60, N = 3SE +/- 0.59, N = 3SE +/- 0.80, N = 3SE +/- 1.07, N = 3SE +/- 0.92, N = 7SE +/- 0.65, N = 3SE +/- 0.18, N = 3SE +/- 0.27, N = 384.8385.7688.32141.2586.06101.5984.7985.7375.2383.8396.8598.5286.7085.0383.40

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.002719, N = 7SE +/- 0.005689, N = 7SE +/- 0.006442, N = 7SE +/- 0.004801, N = 7SE +/- 0.003838, N = 7SE +/- 0.005350, N = 7SE +/- 0.002146, N = 7SE +/- 0.008223, N = 7SE +/- 0.002179, N = 7SE +/- 0.011195, N = 7SE +/- 0.008434, N = 7SE +/- 0.007190, N = 7SE +/- 0.001701, N = 7SE +/- 0.002747, N = 7SE +/- 0.002278, N = 71.0784403.5434703.7064006.3766801.7196705.9534800.9937323.4623602.0018303.4617405.8645804.3013001.4837401.1080500.955977MIN: 3.47MIN: 3.6MIN: 6.27MIN: 1.63MIN: 5.82MIN: 3.38MIN: 1.91MIN: 3.38MIN: 5.63MIN: 4.22MIN: 1.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423691215SE +/- 0.00551, N = 7SE +/- 0.00525, N = 7SE +/- 0.00742, N = 7SE +/- 0.04608, N = 7SE +/- 0.00723, N = 7SE +/- 0.00984, N = 7SE +/- 0.01107, N = 7SE +/- 0.01750, N = 7SE +/- 0.03514, N = 7SE +/- 0.00813, N = 7SE +/- 0.03193, N = 7SE +/- 0.04127, N = 7SE +/- 0.01167, N = 7SE +/- 0.00965, N = 7SE +/- 0.01095, N = 73.558924.251115.4540010.958203.840187.605053.504123.970436.915613.976996.762429.151243.612683.543163.53116MIN: 3.47MIN: 4.06MIN: 5.12MIN: 10.24MIN: 3.75MIN: 7.15MIN: 3.39MIN: 3.86MIN: 6.67MIN: 3.87MIN: 6.41MIN: 8.56MIN: 3.49MIN: 3.43MIN: 3.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.00813, N = 3SE +/- 0.00832, N = 3SE +/- 0.01740, N = 3SE +/- 0.02020, N = 3SE +/- 0.01668, N = 15SE +/- 0.00923, N = 3SE +/- 0.01627, N = 15SE +/- 0.01343, N = 3SE +/- 0.00961, N = 3SE +/- 0.00152, N = 3SE +/- 0.01071, N = 3SE +/- 0.06606, N = 3SE +/- 0.01295, N = 3SE +/- 0.02012, N = 3SE +/- 0.02021, N = 32.335192.489773.283776.122612.157944.440772.022312.197272.757432.048663.501755.032362.222421.987262.06884MIN: 2.08MIN: 2.4MIN: 3.08MIN: 5.93MIN: 1.99MIN: 4.2MIN: 1.84MIN: 2.12MIN: 2.63MIN: 1.99MIN: 3.1MIN: 4.86MIN: 2.06MIN: 1.87MIN: 1.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.00645, N = 3SE +/- 0.02587, N = 3SE +/- 0.00946, N = 3SE +/- 0.02294, N = 3SE +/- 0.00201, N = 3SE +/- 0.00535, N = 3SE +/- 0.00798, N = 3SE +/- 0.00464, N = 3SE +/- 0.02104, N = 3SE +/- 0.00531, N = 3SE +/- 0.02527, N = 3SE +/- 0.00611, N = 3SE +/- 0.00309, N = 3SE +/- 0.00608, N = 3SE +/- 0.00691, N = 31.888425.922046.034978.671541.997075.253311.798742.151945.496052.069836.063337.237632.205431.930421.79065MIN: 1.8MIN: 5.79MIN: 5.92MIN: 8.41MIN: 1.91MIN: 5.07MIN: 1.69MIN: 2.02MIN: 5.32MIN: 2MIN: 5.87MIN: 7.01MIN: 2.05MIN: 1.82MIN: 1.711. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.03302, N = 15SE +/- 0.00636, N = 9SE +/- 0.00474, N = 9SE +/- 0.00735, N = 9SE +/- 0.00950, N = 9SE +/- 0.00724, N = 9SE +/- 0.02912, N = 15SE +/- 0.00414, N = 9SE +/- 0.00511, N = 9SE +/- 0.00582, N = 9SE +/- 0.00482, N = 9SE +/- 0.00118, N = 9SE +/- 0.00881, N = 9SE +/- 0.01930, N = 15SE +/- 0.02450, N = 152.820153.346334.726088.271842.553356.291352.523633.688333.927373.441185.083286.463983.601302.403802.60764MIN: 2.49MIN: 3.15MIN: 4.52MIN: 8MIN: 2.41MIN: 6.07MIN: 2.25MIN: 3.26MIN: 3.81MIN: 3.03MIN: 4.73MIN: 6.38MIN: 3.22MIN: 2.23MIN: 2.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.00637, N = 9SE +/- 0.00168, N = 9SE +/- 0.00304, N = 9SE +/- 0.00235, N = 9SE +/- 0.00157, N = 9SE +/- 0.00336, N = 9SE +/- 0.00834, N = 9SE +/- 0.00338, N = 9SE +/- 0.00628, N = 9SE +/- 0.00215, N = 9SE +/- 0.00324, N = 9SE +/- 0.00176, N = 9SE +/- 0.00104, N = 9SE +/- 0.00625, N = 9SE +/- 0.00429, N = 91.494462.383063.346636.794451.554944.527581.431241.948453.028971.896243.452905.582601.988091.539151.39660MIN: 1.36MIN: 2.33MIN: 3.25MIN: 6.75MIN: 1.42MIN: 4.47MIN: 1.26MIN: 1.82MIN: 2.92MIN: 1.77MIN: 3.34MIN: 5.52MIN: 1.83MIN: 1.37MIN: 1.271. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.06622.13243.19864.26485.331SE +/- 0.00178, N = 4SE +/- 0.00090, N = 4SE +/- 0.00144, N = 4SE +/- 0.00331, N = 4SE +/- 0.00439, N = 4SE +/- 0.00316, N = 4SE +/- 0.01406, N = 4SE +/- 0.00185, N = 4SE +/- 0.01053, N = 4SE +/- 0.00341, N = 4SE +/- 0.00488, N = 4SE +/- 0.00382, N = 4SE +/- 0.00891, N = 4SE +/- 0.00906, N = 4SE +/- 0.01153, N = 101.703601.829512.410824.738661.599383.809551.489811.593001.980351.472223.446683.560201.615021.467751.51528MIN: 1.48MIN: 1.74MIN: 2.2MIN: 4.55MIN: 1.51MIN: 3.44MIN: 1.33MIN: 1.51MIN: 1.86MIN: 1.41MIN: 2.92MIN: 3.44MIN: 1.5MIN: 1.39MIN: 1.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.00630, N = 5SE +/- 0.01609, N = 5SE +/- 0.00471, N = 5SE +/- 0.01715, N = 5SE +/- 0.00795, N = 5SE +/- 0.00853, N = 5SE +/- 0.01221, N = 5SE +/- 0.00256, N = 5SE +/- 0.01324, N = 5SE +/- 0.00208, N = 5SE +/- 0.00189, N = 5SE +/- 0.00869, N = 5SE +/- 0.00475, N = 5SE +/- 0.01041, N = 5SE +/- 0.00213, N = 51.159434.133823.763957.150302.286114.975121.125022.962832.778262.958304.472876.682091.251541.220111.14828MIN: 3.91MIN: 3.68MIN: 6.45MIN: 2.2MIN: 4.75MIN: 2.89MIN: 2.68MIN: 2.88MIN: 4.3MIN: 6.52MIN: 1.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.45410.90821.36231.81642.2705SE +/- 0.002887, N = 4SE +/- 0.000660, N = 4SE +/- 0.000863, N = 4SE +/- 0.005714, N = 4SE +/- 0.004962, N = 15SE +/- 0.000447, N = 4SE +/- 0.005359, N = 5SE +/- 0.000902, N = 4SE +/- 0.001140, N = 4SE +/- 0.000738, N = 4SE +/- 0.000258, N = 4SE +/- 0.001580, N = 4SE +/- 0.005528, N = 6SE +/- 0.003528, N = 4SE +/- 0.002953, N = 40.5874430.5923080.8022722.0183800.5339611.0934400.5170230.5376360.6604190.5005210.8757491.1601700.5534440.4842190.536916MIN: 0.54MIN: 0.56MIN: 0.72MIN: 1.95MIN: 0.49MIN: 0.96MIN: 0.47MIN: 0.51MIN: 0.62MIN: 0.48MIN: 0.74MIN: 1.13MIN: 0.49MIN: 0.46MIN: 0.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.80631.61262.41893.22524.0315SE +/- 0.002127, N = 4SE +/- 0.009261, N = 15SE +/- 0.001219, N = 4SE +/- 0.001594, N = 4SE +/- 0.000788, N = 4SE +/- 0.001298, N = 4SE +/- 0.000537, N = 4SE +/- 0.003967, N = 4SE +/- 0.001361, N = 4SE +/- 0.005244, N = 4SE +/- 0.001269, N = 4SE +/- 0.000640, N = 4SE +/- 0.001948, N = 4SE +/- 0.001659, N = 4SE +/- 0.005312, N = 40.8006431.2959901.8417803.5836300.8680242.4937200.7808031.0739901.5650301.0158201.9130503.0129201.1048600.8631460.750519MIN: 0.76MIN: 1.25MIN: 1.82MIN: 3.54MIN: 0.81MIN: 2.45MIN: 0.7MIN: 0.98MIN: 1.54MIN: 0.98MIN: 1.87MIN: 2.73MIN: 0.99MIN: 0.77MIN: 0.711. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429001800270036004500SE +/- 5.75, N = 3SE +/- 0.54, N = 3SE +/- 2.99, N = 3SE +/- 5.10, N = 3SE +/- 1.32, N = 3SE +/- 1.59, N = 3SE +/- 8.27, N = 3SE +/- 5.60, N = 3SE +/- 2.05, N = 3SE +/- 1.42, N = 3SE +/- 1.43, N = 3SE +/- 0.86, N = 3SE +/- 2.63, N = 3SE +/- 0.57, N = 3SE +/- 22.03, N = 62306.331672.242412.794345.121350.553056.052221.332738.422013.752718.682836.683345.102214.791213.582283.91MIN: 2274.33MIN: 1658.48MIN: 2397.68MIN: 4298.14MIN: 1331.05MIN: 3041.35MIN: 2189.19MIN: 2722.76MIN: 1995.38MIN: 2705.41MIN: 2798.53MIN: 3322.56MIN: 2191.84MIN: 1190.99MIN: 2224.951. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429001800270036004500SE +/- 3.86, N = 3SE +/- 1.08, N = 3SE +/- 0.38, N = 3SE +/- 1.97, N = 3SE +/- 1.92, N = 3SE +/- 3.17, N = 3SE +/- 11.35, N = 3SE +/- 2.18, N = 3SE +/- 6.65, N = 3SE +/- 2.43, N = 3SE +/- 2.25, N = 3SE +/- 0.89, N = 3SE +/- 5.23, N = 3SE +/- 2.03, N = 3SE +/- 18.38, N = 92296.531674.662410.234347.661352.623057.082230.182743.712013.242721.872834.093345.672230.351210.042263.32MIN: 2270.01MIN: 1660.31MIN: 2395.31MIN: 4308.62MIN: 1333.53MIN: 3044.36MIN: 2194.78MIN: 2727.14MIN: 1992.69MIN: 2708.11MIN: 2799.34MIN: 3327MIN: 2212.66MIN: 1190.59MIN: 2218.681. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429001800270036004500SE +/- 9.75, N = 3SE +/- 0.94, N = 3SE +/- 3.71, N = 3SE +/- 4.35, N = 3SE +/- 1.28, N = 3SE +/- 0.81, N = 3SE +/- 0.34, N = 3SE +/- 4.79, N = 3SE +/- 0.63, N = 3SE +/- 2.51, N = 3SE +/- 1.77, N = 3SE +/- 2.55, N = 3SE +/- 5.96, N = 3SE +/- 3.66, N = 3SE +/- 6.65, N = 32314.361673.312407.934348.881350.133059.192203.162740.521997.392716.542835.353348.062221.371211.542251.63MIN: 2276.78MIN: 1660.31MIN: 2392.45MIN: 4311.94MIN: 1333.75MIN: 3051.11MIN: 2183.71MIN: 2722.51MIN: 1989.1MIN: 2705.25MIN: 2800.15MIN: 3331.21MIN: 2198.48MIN: 1187.15MIN: 2223.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425001000150020002500SE +/- 3.54, N = 3SE +/- 0.91, N = 3SE +/- 0.19, N = 3SE +/- 2.26, N = 3SE +/- 2.70, N = 3SE +/- 2.69, N = 3SE +/- 1.17, N = 3SE +/- 5.72, N = 3SE +/- 1.61, N = 3SE +/- 4.31, N = 3SE +/- 3.12, N = 3SE +/- 0.51, N = 3SE +/- 1.51, N = 3SE +/- 1.28, N = 3SE +/- 1.15, N = 3874.44972.931229.692397.56787.432022.45793.20902.26997.85890.481882.641745.54813.12732.81811.00MIN: 847.07MIN: 960.02MIN: 1221.64MIN: 2367.09MIN: 769.99MIN: 2012.67MIN: 776.66MIN: 882.8MIN: 987.15MIN: 867.03MIN: 1853.21MIN: 1733.89MIN: 799.88MIN: 712.9MIN: 788.261. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425001000150020002500SE +/- 2.81, N = 3SE +/- 1.57, N = 3SE +/- 0.54, N = 3SE +/- 3.61, N = 3SE +/- 2.09, N = 3SE +/- 4.61, N = 3SE +/- 1.88, N = 3SE +/- 2.58, N = 3SE +/- 3.97, N = 3SE +/- 1.35, N = 3SE +/- 5.33, N = 3SE +/- 0.95, N = 3SE +/- 1.32, N = 3SE +/- 3.28, N = 3SE +/- 5.32, N = 3878.20974.121227.562397.22784.822032.88793.23919.61998.67886.881886.301742.79812.99734.40808.62MIN: 851.72MIN: 962.55MIN: 1218.44MIN: 2370.41MIN: 771.05MIN: 2016.92MIN: 777.03MIN: 906.32MIN: 987.09MIN: 865.5MIN: 1851.55MIN: 1728.82MIN: 799.51MIN: 716.82MIN: 785.041. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425001000150020002500SE +/- 3.99, N = 3SE +/- 0.65, N = 3SE +/- 1.03, N = 3SE +/- 4.09, N = 3SE +/- 1.66, N = 3SE +/- 1.28, N = 3SE +/- 0.96, N = 3SE +/- 5.94, N = 3SE +/- 0.99, N = 3SE +/- 1.82, N = 3SE +/- 4.32, N = 3SE +/- 2.16, N = 3SE +/- 2.11, N = 3SE +/- 2.51, N = 3SE +/- 5.74, N = 3875.71972.771228.502398.98782.652029.28792.55917.61999.14888.541884.701744.75814.03735.82810.18MIN: 846.67MIN: 962.66MIN: 1219.05MIN: 2367.55MIN: 769.36MIN: 2020.38MIN: 773.96MIN: 892.04MIN: 991.16MIN: 872.96MIN: 1853.9MIN: 1731.94MIN: 801.22MIN: 715.63MIN: 783.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260120180240300SE +/- 1.30, N = 3SE +/- 0.17, N = 3SE +/- 0.29, N = 3SE +/- 0.60, N = 3SE +/- 0.50, N = 3SE +/- 0.29, N = 3SE +/- 0.93, N = 3SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 0.17, N = 3SE +/- 1.01, N = 3SE +/- 0.88, N = 32402802772432642592432772482852672622712632461. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.76951.5392.30853.0783.84751.552.602.953.422.013.261.582.491.712.573.282.551.981.751.58

ONNX Runtime

Model: fcn-resnet101-11 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.44, N = 3SE +/- 0.29, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 1.04, N = 3SE +/- 0.17, N = 3SE +/- 0.33, N = 3SE +/- 0.53, N = 12SE +/- 0.60, N = 3SE +/- 0.58, N = 3SE +/- 0.29, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.17, N = 3SE +/- 0.78, N = 57472695979707964696977597980761. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: fcn-resnet101-11 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.18450.3690.55350.7380.92250.570.610.660.680.670.760.550.580.390.600.820.460.550.580.56

ONNX Runtime

Model: shufflenet-v2-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422K4K6K8K10KSE +/- 53.19, N = 12SE +/- 18.32, N = 3SE +/- 1.83, N = 3SE +/- 15.37, N = 3SE +/- 70.17, N = 12SE +/- 2.92, N = 3SE +/- 46.88, N = 3SE +/- 63.96, N = 12SE +/- 112.30, N = 4SE +/- 29.60, N = 3SE +/- 45.05, N = 3SE +/- 45.76, N = 3SE +/- 105.59, N = 12SE +/- 73.86, N = 12SE +/- 66.14, N = 66478881089758836737387216686842193488698861198238070722165271. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: shufflenet-v2-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742408012016020046.15108.45129.62172.0268.55154.9150.6796.9282.09101.89142.11135.1374.7259.4250.14

ONNX Runtime

Model: super-resolution-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774211002200330044005500SE +/- 84.35, N = 9SE +/- 71.97, N = 12SE +/- 73.62, N = 12SE +/- 3.69, N = 3SE +/- 27.98, N = 3SE +/- 16.48, N = 3SE +/- 95.52, N = 12SE +/- 62.74, N = 3SE +/- 88.35, N = 12SE +/- 67.46, N = 11SE +/- 24.57, N = 3SE +/- 5.63, N = 3SE +/- 35.49, N = 11SE +/- 52.31, N = 12SE +/- 97.77, N = 94087494645223941464239434175475552124986404445184864450642291. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742112233445525.7339.9043.6747.9133.3544.6125.6738.4128.6840.8945.8636.0232.7828.3626.46

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742110220330440550SE +/- 7.16, N = 12SE +/- 4.15, N = 9SE +/- 5.01, N = 3SE +/- 0.50, N = 3SE +/- 0.60, N = 3SE +/- 1.26, N = 3SE +/- 6.16, N = 12SE +/- 4.69, N = 12SE +/- 6.13, N = 12SE +/- 1.15, N = 3SE +/- 0.29, N = 3SE +/- 0.50, N = 3SE +/- 0.44, N = 3SE +/- 3.97, N = 3SE +/- 8.08, N = 93905004564094404033954593724754004804664313791. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.1792.3583.5374.7165.8952.394.254.505.243.224.792.503.862.504.084.714.103.272.842.48

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.884.763.311.757.202.478.975.734.046.173.162.165.687.818.89

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429001800270036004500SE +/- 12.73, N = 3SE +/- 12.54, N = 3SE +/- 1.52, N = 3SE +/- 14.48, N = 3SE +/- 2.44, N = 3SE +/- 9.26, N = 3SE +/- 0.31, N = 3SE +/- 1.04, N = 3SE +/- 3.08, N = 3SE +/- 3.65, N = 3SE +/- 7.78, N = 3SE +/- 19.31, N = 3SE +/- 1.33, N = 3SE +/- 2.50, N = 3SE +/- 2.49, N = 34029.982507.582414.742298.633325.992434.173562.632794.251976.702579.792527.861836.512815.803059.053589.69

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.884.733.321.747.222.478.985.724.026.133.232.165.687.798.92

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429001800270036004500SE +/- 8.92, N = 3SE +/- 3.50, N = 3SE +/- 2.67, N = 3SE +/- 17.95, N = 3SE +/- 3.41, N = 3SE +/- 34.12, N = 3SE +/- 0.45, N = 3SE +/- 0.81, N = 3SE +/- 1.86, N = 3SE +/- 2.29, N = 3SE +/- 13.37, N = 3SE +/- 14.55, N = 3SE +/- 2.24, N = 3SE +/- 1.92, N = 3SE +/- 1.62, N = 34030.532522.612413.452314.663327.502406.223558.092791.541980.562572.362446.021844.312814.153069.383584.77

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77426K12K18K24K30KSE +/- 28.57, N = 3SE +/- 95.61, N = 3SE +/- 21.57, N = 3SE +/- 41.71, N = 15SE +/- 55.79, N = 3SE +/- 89.67, N = 3SE +/- 46.32, N = 3SE +/- 42.04, N = 3SE +/- 43.76, N = 3SE +/- 85.72, N = 3SE +/- 50.79, N = 3SE +/- 52.69, N = 3SE +/- 22.86, N = 3SE +/- 31.70, N = 3SE +/- 136.51, N = 325067.0412800.599316.804012.4023441.916689.9528284.8718612.549663.4319922.0110017.984953.6516446.8822986.0528361.73

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.27230.54460.81691.08921.3615SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.210.920.840.980.990.891.060.840.810.770.780.790.951.021.07

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77426K12K18K24K30KSE +/- 48.27, N = 3SE +/- 157.24, N = 3SE +/- 6.65, N = 3SE +/- 46.05, N = 4SE +/- 49.13, N = 3SE +/- 21.76, N = 3SE +/- 30.27, N = 3SE +/- 60.57, N = 3SE +/- 47.83, N = 3SE +/- 75.75, N = 3SE +/- 103.67, N = 4SE +/- 6.26, N = 3SE +/- 24.60, N = 3SE +/- 4.60, N = 3SE +/- 87.64, N = 325012.9813220.959314.824115.4423559.176803.0928316.5018514.609866.0819958.419884.624984.3516443.7322996.9328270.21

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.27450.5490.82351.0981.3725SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.220.880.840.960.990.871.070.840.790.770.790.780.951.021.08

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 36.023.532.511.295.531.816.624.372.994.742.371.664.205.676.83

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774211002200330044005500SE +/- 6.77, N = 3SE +/- 14.72, N = 3SE +/- 5.57, N = 3SE +/- 3.19, N = 3SE +/- 5.33, N = 3SE +/- 9.03, N = 3SE +/- 6.15, N = 3SE +/- 1.53, N = 3SE +/- 1.31, N = 3SE +/- 2.78, N = 3SE +/- 2.79, N = 3SE +/- 4.62, N = 3SE +/- 10.25, N = 3SE +/- 4.94, N = 3SE +/- 18.38, N = 35170.993310.913145.893071.914197.603264.494731.723578.092643.393276.523344.392399.193757.354132.134536.00

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.053.512.511.285.531.816.604.362.984.702.381.644.195.676.87

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774211002200330044005500SE +/- 6.37, N = 3SE +/- 4.18, N = 3SE +/- 5.33, N = 3SE +/- 10.38, N = 3SE +/- 8.65, N = 3SE +/- 8.60, N = 3SE +/- 4.63, N = 3SE +/- 1.62, N = 3SE +/- 4.58, N = 3SE +/- 5.09, N = 3SE +/- 1.17, N = 3SE +/- 1.90, N = 3SE +/- 3.83, N = 3SE +/- 14.85, N = 3SE +/- 8.32, N = 35153.993315.633155.853090.584203.813265.934732.733582.562649.353271.263342.132409.033754.854138.694525.32

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742918273645SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.22, N = 3SE +/- 0.46, N = 4SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.37, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.45, N = 3SE +/- 0.16, N = 331.8927.8121.2411.4132.6816.7937.3832.0524.2933.3320.3414.6730.3635.2534.99

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.0630.1260.1890.2520.3150.260.230.200.140.270.190.280.280.130.270.230.110.230.250.26

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742714212835SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.26, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 326.4923.3417.399.3027.5013.6731.8426.5120.0027.6716.6112.0625.3529.3729.49

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: CPU

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.0540.1080.1620.2160.270.210.190.160.110.220.150.240.220.110.210.180.090.190.200.22

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230K60K90K120K150KSE +/- 280.28, N = 3SE +/- 193.63, N = 3SE +/- 21.22, N = 3SE +/- 22.85, N = 3SE +/- 194.69, N = 3SE +/- 107.22, N = 3SE +/- 187.50, N = 3SE +/- 76.82, N = 3SE +/- 13.80, N = 3SE +/- 86.41, N = 3SE +/- 63.38, N = 3SE +/- 599.00, N = 3SE +/- 28.71, N = 3SE +/- 322.42, N = 3SE +/- 34.57, N = 335037.461419.980320.5160713.048507.4117060.032085.547083.468637.643977.984723.5133236.048084.745436.632117.9

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774240K80K120K160K200KSE +/- 118.11, N = 3SE +/- 40.77, N = 3SE +/- 15.21, N = 3SE +/- 20.79, N = 3SE +/- 518.49, N = 3SE +/- 28.48, N = 3SE +/- 61.64, N = 3SE +/- 44.27, N = 3SE +/- 61.58, N = 3SE +/- 72.07, N = 3SE +/- 47.75, N = 3SE +/- 13.05, N = 3SE +/- 69.37, N = 3SE +/- 392.20, N = 3SE +/- 110.87, N = 336468.862904.182490.4165426.050401.8120119.033024.047911.770154.545118.186277.6136023.049078.545818.833434.6

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250K100K150K200K250KSE +/- 718.53, N = 15SE +/- 414.30, N = 3SE +/- 652.17, N = 3SE +/- 42.10, N = 3SE +/- 275.99, N = 3SE +/- 219.52, N = 3SE +/- 833.99, N = 6SE +/- 797.17, N = 15SE +/- 244.85, N = 3SE +/- 115.93, N = 3SE +/- 183.23, N = 3SE +/- 54.60, N = 3SE +/- 115.78, N = 3SE +/- 34.51, N = 3SE +/- 898.32, N = 1595873.7105046.0144445.0212253.092153.2177540.088093.785462.8126743.079313.6151235.0177928.084263.586140.691245.8

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250K100K150K200K250KSE +/- 39.50, N = 3SE +/- 6.99, N = 3SE +/- 25.85, N = 3SE +/- 202.36, N = 3SE +/- 74.34, N = 3SE +/- 82.39, N = 3SE +/- 174.48, N = 3SE +/- 126.18, N = 3SE +/- 132.22, N = 3SE +/- 77.46, N = 3SE +/- 38.26, N = 3SE +/- 44.74, N = 3SE +/- 39.58, N = 3SE +/- 111.10, N = 3SE +/- 8.41, N = 361679.693404.1123947.0242480.068430.4173807.056195.575080.0107391.070622.9129293.0201258.077264.765104.457509.9

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742700K1400K2100K2800K3500KSE +/- 6234.46, N = 7SE +/- 1259.14, N = 3SE +/- 366.38, N = 3SE +/- 326.24, N = 3SE +/- 1818.31, N = 3SE +/- 518.11, N = 3SE +/- 4181.60, N = 3SE +/- 466.83, N = 3SE +/- 1646.01, N = 3SE +/- 149.07, N = 3SE +/- 1027.95, N = 3SE +/- 314.32, N = 3SE +/- 386.91, N = 3SE +/- 837.49, N = 3SE +/- 4362.30, N = 37026071206790156707031369208935172242950655279897884134615384060416391672592970921865830730643150

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742700K1400K2100K2800K3500KSE +/- 6069.08, N = 3SE +/- 1233.46, N = 3SE +/- 272.21, N = 3SE +/- 1129.29, N = 3SE +/- 907.34, N = 3SE +/- 436.36, N = 3SE +/- 3136.75, N = 3SE +/- 487.90, N = 3SE +/- 192.21, N = 3SE +/- 425.74, N = 3SE +/- 565.25, N = 3SE +/- 227.03, N = 3SE +/- 143.80, N = 3SE +/- 1781.71, N = 3SE +/- 5733.03, N = 3764269136641017428903472940978828249374770083310063471499183943229182015328722271034367938691723699

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230060090012001500SE +/- 29.63, N = 14SE +/- 39.35, N = 15SE +/- 0.74, N = 3SE +/- 1.33, N = 3SE +/- 11.98, N = 15SE +/- 0.69, N = 3SE +/- 32.30, N = 15SE +/- 37.08, N = 15SE +/- 1.25, N = 3SE +/- 2.23, N = 3SE +/- 1.04, N = 3SE +/- 1.31, N = 3SE +/- 0.86, N = 3SE +/- 1.46, N = 3SE +/- 19.88, N = 31360.06862.81447.01216.581139.38322.831398.77883.87524.31891.02429.51262.90807.021147.361429.251. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774236912159.947.074.463.248.883.889.957.532.997.254.952.725.887.8010.27

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422K4K6K8K10KSE +/- 215.48, N = 14SE +/- 8.85, N = 3SE +/- 6.92, N = 3SE +/- 24.63, N = 15SE +/- 49.30, N = 3SE +/- 22.88, N = 15SE +/- 72.85, N = 13SE +/- 179.55, N = 12SE +/- 3.02, N = 3SE +/- 157.39, N = 15SE +/- 46.80, N = 15SE +/- 8.24, N = 3SE +/- 135.96, N = 15SE +/- 113.98, N = 14SE +/- 106.13, N = 149581.064490.862965.291473.317811.992192.829507.956104.273522.446242.212991.731769.465725.797961.6410194.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150101.8562.9145.5831.4097.5741.66105.2486.4833.5589.0652.4627.2263.1788.03111.72

Cpuminer-Opt

Algorithm: Deepcoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774210K20K30K40K50KSE +/- 2134.76, N = 15SE +/- 94.04, N = 3SE +/- 14.53, N = 3SE +/- 0.23, N = 3SE +/- 964.94, N = 15SE +/- 78.72, N = 3SE +/- 1295.28, N = 15SE +/- 1900.37, N = 15SE +/- 333.56, N = 15SE +/- 991.42, N = 15SE +/- 407.34, N = 15SE +/- 73.09, N = 6SE +/- 38.44, N = 3SE +/- 1521.20, N = 15SE +/- 1097.21, N = 1546113.0019363.0012697.006207.8933589.009361.0645051.0026546.0015338.0026493.0012793.007644.1023013.0034363.0048794.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Deepcoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742130260390520650562.57318.51224.80140.99474.77201.02565.67441.39175.98438.65255.88128.88286.60432.56610.96

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742140K280K420K560K700KSE +/- 12582.41, N = 12SE +/- 3944.26, N = 15SE +/- 981.65, N = 3SE +/- 611.43, N = 6SE +/- 6158.44, N = 12SE +/- 728.58, N = 3SE +/- 5351.86, N = 13SE +/- 4313.15, N = 3SE +/- 335.77, N = 3SE +/- 2411.69, N = 3SE +/- 1328.09, N = 3SE +/- 654.80, N = 15SE +/- 2127.92, N = 3SE +/- 9107.04, N = 12SE +/- 9139.66, N = 1260585221053915103063648468227105140631038316350182403324420150287793653172504705026293681. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422K4K6K8K10K8011.783879.072891.081483.877328.522410.518559.505770.732197.635932.593270.931374.224208.206520.948665.81

John The Ripper

Test: MD5

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421000K2000K3000K4000K5000KSE +/- 1452.97, N = 3SE +/- 2603.42, N = 3SE +/- 798.79, N = 3SE +/- 881.92, N = 3SE +/- 881.92, N = 3SE +/- 3282.95, N = 3SE +/- 2185.81, N = 3SE +/- 1763.83, N = 3SE +/- 2905.93, N = 3SE +/- 2000.00, N = 3SE +/- 525.27, N = 3SE +/- 1527.53, N = 3SE +/- 881.92, N = 3SE +/- 1527.53, N = 341830002127333146033371717535286671072333419533325963331731667279866713540008747002534000355766745680001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

John The Ripper

Test: MD5

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425K10K15K20K25K22232.8813762.6811851.029459.2720367.1210769.0522927.6317709.047625.6116435.4913466.237334.1615619.6518839.0322402.97

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774216K32K48K64K80KSE +/- 15.77, N = 3SE +/- 1.00, N = 3SE +/- 3.06, N = 3SE +/- 2.31, N = 3SE +/- 72.25, N = 3SE +/- 4.10, N = 3SE +/- 4.67, N = 3SE +/- 8.37, N = 3SE +/- 3.33, N = 3SE +/- 17.06, N = 3SE +/- 12.17, N = 3SE +/- 1.67, N = 3SE +/- 9.84, N = 3SE +/- 3.00, N = 3SE +/- 34.82, N = 37003333755223141082559963162247357943703263454459621454131834280061119752341. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742100200300400500420.61260.68235.34177.43379.39213.21439.24316.71156.27317.83255.06144.00273.00337.12420.48

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230060090012001500SE +/- 1.60, N = 3SE +/- 2.68, N = 3SE +/- 0.73, N = 3SE +/- 0.82, N = 3SE +/- 3.10, N = 3SE +/- 0.90, N = 3SE +/- 3.75, N = 3SE +/- 1.87, N = 3SE +/- 1.44, N = 3SE +/- 0.47, N = 3SE +/- 0.46, N = 3SE +/- 0.28, N = 3SE +/- 1.15, N = 3SE +/- 1.10, N = 3SE +/- 3.10, N = 31050.99847.40634.51419.191044.25555.111193.66932.75651.36937.44644.23453.36880.571070.091166.42MIN: 478.51 / MAX: 1166.67MIN: 566.75 / MAX: 939.62MIN: 482.67 / MAX: 693.38MIN: 370.7 / MAX: 456.84MIN: 554.63 / MAX: 1157.48MIN: 463.4 / MAX: 605.59MIN: 500.62 / MAX: 1329.43MIN: 659.65 / MAX: 1047.61MIN: 480.87 / MAX: 706.63MIN: 659.51 / MAX: 1052.41MIN: 503.48 / MAX: 704.1MIN: 400.76 / MAX: 488.59MIN: 567.79 / MAX: 985.57MIN: 574.58 / MAX: 1186.8MIN: 498.33 / MAX: 1299.421. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424812162013.0814.3710.938.7415.4211.3515.5415.807.4016.3612.887.0611.3014.7014.95

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742100200300400500SE +/- 0.34, N = 3SE +/- 0.61, N = 3SE +/- 0.23, N = 3SE +/- 0.14, N = 3SE +/- 0.66, N = 3SE +/- 0.16, N = 3SE +/- 0.74, N = 3SE +/- 0.16, N = 3SE +/- 0.46, N = 3SE +/- 0.75, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.33, N = 3437.31328.54245.60150.43406.93203.40457.27361.72244.17367.19239.84168.17349.99416.96454.41MIN: 217.67 / MAX: 473.18MIN: 249.05 / MAX: 376.65MIN: 210.68 / MAX: 281.84MIN: 141.09 / MAX: 170.16MIN: 257.69 / MAX: 456.39MIN: 187.66 / MAX: 232.21MIN: 225.33 / MAX: 494.73MIN: 287.95 / MAX: 416.23MIN: 200.55 / MAX: 270.42MIN: 288.65 / MAX: 424.55MIN: 211 / MAX: 275.93MIN: 157.91 / MAX: 191.26MIN: 266.02 / MAX: 399.72MIN: 251.44 / MAX: 465MIN: 219.4 / MAX: 490.361. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.1072.2143.3214.4285.5354.454.143.322.514.653.134.924.622.064.913.732.003.544.614.56

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422004006008001000SE +/- 3.47, N = 3SE +/- 1.22, N = 3SE +/- 0.72, N = 3SE +/- 0.34, N = 3SE +/- 2.26, N = 3SE +/- 1.45, N = 3SE +/- 2.82, N = 3SE +/- 0.95, N = 3SE +/- 1.86, N = 3SE +/- 0.52, N = 3SE +/- 0.66, N = 3SE +/- 0.38, N = 3SE +/- 2.20, N = 3SE +/- 0.45, N = 3SE +/- 2.57, N = 3983.61839.06698.08473.821095.40624.791158.08937.73671.07939.90712.26496.11892.421116.831113.87MIN: 616.84 / MAX: 1260.07MIN: 646.27 / MAX: 1067.76MIN: 539.13 / MAX: 873.36MIN: 365.77 / MAX: 674.59MIN: 671.87 / MAX: 1406.03MIN: 483.27 / MAX: 784.91MIN: 644.06 / MAX: 1489.95MIN: 687.68 / MAX: 1200.87MIN: 524.48 / MAX: 829.64MIN: 689.36 / MAX: 1207.51MIN: 546.18 / MAX: 898.36MIN: 390.79 / MAX: 704.31MIN: 641.23 / MAX: 1144.96MIN: 672.49 / MAX: 1434.66MIN: 632.86 / MAX: 1429.431. (CC) gcc options: -pthread

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424812162012.6414.9612.6110.2416.6713.0815.2516.808.0717.3715.037.8311.8415.5514.68

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424080120160200SE +/- 0.31, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.56, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.38, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.28, N = 3SE +/- 0.55, N = 3185.31135.69116.6894.36178.70107.25190.19152.15129.77152.78114.49109.55146.29179.72190.04MIN: 125.96 / MAX: 294.64MIN: 85.88 / MAX: 272.31MIN: 74.3 / MAX: 261.93MIN: 60.14 / MAX: 225.56MIN: 121.07 / MAX: 277.42MIN: 67.93 / MAX: 243.83MIN: 126.93 / MAX: 307.7MIN: 97.46 / MAX: 272.72MIN: 84.35 / MAX: 268.95MIN: 98.52 / MAX: 278.09MIN: 72.02 / MAX: 259.87MIN: 70.77 / MAX: 249.84MIN: 94.75 / MAX: 256.37MIN: 121.84 / MAX: 276.81MIN: 126.76 / MAX: 308.031. (CC) gcc options: -pthread

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.58281.16561.74842.33122.9142.222.262.001.952.592.152.372.531.472.582.291.621.842.342.39

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774248121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 314.9411.229.154.7215.506.4916.4413.9710.6614.948.615.7313.6515.9416.501. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.02250.0450.06750.090.11250.090.080.080.060.100.070.100.100.050.090.090.050.090.090.09

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742918273645SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 4SE +/- 0.05, N = 436.0726.6122.9412.9835.8117.8339.1533.2526.3135.0621.7015.5632.7237.3938.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.06080.12160.18240.24320.3040.250.210.210.170.260.190.270.260.130.250.240.130.230.240.25

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421326395265SE +/- 0.54, N = 5SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.48, N = 5SE +/- 0.05, N = 3SE +/- 0.44, N = 5SE +/- 0.05, N = 5SE +/- 0.02, N = 4SE +/- 0.05, N = 5SE +/- 0.03, N = 4SE +/- 0.04, N = 3SE +/- 0.03, N = 5SE +/- 0.16, N = 5SE +/- 0.47, N = 1553.5248.3341.5223.1155.9931.3958.6454.9247.1756.9839.6527.1654.0759.5957.401. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.10580.21160.31740.42320.5290.410.400.400.310.430.350.420.470.260.470.450.240.400.400.41

SVT-AV1

Encoder Mode: Enc Mode 8 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.27, N = 5SE +/- 0.03, N = 6SE +/- 0.17, N = 5SE +/- 0.07, N = 4SE +/- 0.20, N = 5SE +/- 0.11, N = 4SE +/- 0.32, N = 5SE +/- 0.25, N = 6SE +/- 0.21, N = 5SE +/- 0.18, N = 6SE +/- 0.09, N = 5SE +/- 0.03, N = 4SE +/- 0.17, N = 6SE +/- 0.16, N = 5SE +/- 0.41, N = 579.8254.8737.0421.7662.4030.3883.4057.3242.8459.9435.3826.1356.5363.2185.001. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

SVT-AV1

Encoder Mode: Enc Mode 8 - Input: 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.20030.40060.60090.80121.00150.830.610.440.330.690.410.890.680.320.680.490.280.560.620.86

SVT-AV1

Encoder Mode: Enc Mode 4 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742246810SE +/- 0.003, N = 3SE +/- 0.043, N = 3SE +/- 0.017, N = 3SE +/- 0.008, N = 3SE +/- 0.012, N = 3SE +/- 0.008, N = 3SE +/- 0.060, N = 3SE +/- 0.032, N = 3SE +/- 0.035, N = 4SE +/- 0.032, N = 4SE +/- 0.006, N = 3SE +/- 0.023, N = 3SE +/- 0.048, N = 4SE +/- 0.039, N = 4SE +/- 0.026, N = 36.7525.5634.5062.5366.4943.5936.9665.8665.3336.0914.2253.1845.9586.6786.9851. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

SVT-AV1

Encoder Mode: Enc Mode 4 - Input: 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.01350.0270.04050.0540.06750.060.050.050.040.060.040.060.060.030.060.050.030.050.060.06

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774280160240320400SE +/- 4.45, N = 15SE +/- 5.48, N = 15SE +/- 2.50, N = 15SE +/- 0.51, N = 7SE +/- 6.16, N = 15SE +/- 1.04, N = 9SE +/- 5.77, N = 15SE +/- 5.89, N = 15SE +/- 2.97, N = 15SE +/- 6.75, N = 15SE +/- 1.82, N = 15SE +/- 0.53, N = 7SE +/- 5.85, N = 15SE +/- 6.69, N = 15SE +/- 5.67, N = 15305.10319.05242.24107.11336.24184.83332.56334.18230.31350.63229.82124.35325.84346.63322.831. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.15652.3133.46954.6265.78253.674.593.551.904.483.024.045.002.195.143.891.674.004.113.83

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742100200300400500SE +/- 3.60, N = 15SE +/- 0.86, N = 11SE +/- 0.29, N = 10SE +/- 0.15, N = 8SE +/- 0.97, N = 10SE +/- 0.45, N = 9SE +/- 0.96, N = 10SE +/- 0.76, N = 11SE +/- 0.36, N = 10SE +/- 0.74, N = 11SE +/- 0.35, N = 10SE +/- 0.26, N = 8SE +/- 1.03, N = 11SE +/- 0.61, N = 10SE +/- 2.40, N = 10409.36413.09316.49144.32445.92239.47448.08437.88263.13459.14295.80167.08426.52458.24437.251. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422468105.286.595.072.726.574.255.977.272.767.385.472.345.706.145.54

x264

H.264 Video Encoding

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250100150200250SE +/- 1.78, N = 15SE +/- 0.75, N = 9SE +/- 0.59, N = 8SE +/- 0.37, N = 6SE +/- 1.18, N = 15SE +/- 0.60, N = 7SE +/- 1.83, N = 15SE +/- 1.00, N = 9SE +/- 0.76, N = 9SE +/- 0.83, N = 9SE +/- 0.71, N = 8SE +/- 0.33, N = 7SE +/- 0.75, N = 9SE +/- 1.24, N = 15SE +/- 2.10, N = 15198.58174.63150.4578.21198.00117.14210.69182.42173.50188.45142.3795.50181.15203.74211.391. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

x264

H.264 Video Encoding

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.53551.0711.60652.1422.67752.062.122.011.312.301.742.222.321.472.382.161.141.932.082.22

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742612182430SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 4SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 325.0423.8420.449.2025.3617.0925.6525.1320.0025.2120.0310.2023.7125.2325.571. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.05180.10360.15540.20720.2590.180.210.200.140.210.200.200.220.120.230.230.110.180.180.19

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 75, Compression Effort 7EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260120180240300SE +/- 0.47, N = 3SE +/- 0.09, N = 3SE +/- 1.62, N = 3SE +/- 0.87, N = 3SE +/- 0.13, N = 3SE +/- 0.65, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.46, N = 3SE +/- 0.04, N = 3SE +/- 1.08, N = 3SE +/- 0.90, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3139.36138.04164.81277.67140.18199.54139.56137.44140.61135.97173.72227.13142.20138.08138.091. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 95, Compression Effort 7EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742110220330440550SE +/- 0.12, N = 3SE +/- 0.27, N = 3SE +/- 0.98, N = 3SE +/- 0.90, N = 3SE +/- 0.12, N = 3SE +/- 2.81, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 1.43, N = 3SE +/- 0.19, N = 3SE +/- 2.55, N = 3SE +/- 0.26, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 3257.01254.24301.52507.74258.37361.48256.56253.10254.76250.41309.98416.27260.46254.88254.501. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Compression Effort 5EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774248121620SE +/- 0.012, N = 6SE +/- 0.009, N = 6SE +/- 0.020, N = 5SE +/- 0.032, N = 4SE +/- 0.013, N = 6SE +/- 0.018, N = 5SE +/- 0.009, N = 6SE +/- 0.027, N = 6SE +/- 0.012, N = 6SE +/- 0.015, N = 6SE +/- 0.012, N = 5SE +/- 0.031, N = 4SE +/- 0.010, N = 6SE +/- 0.006, N = 6SE +/- 0.015, N = 68.1257.9749.35415.5478.16211.1318.0527.9727.9737.9499.65412.7888.0558.0748.0611. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230K60K90K120K150KSE +/- 31.81, N = 3SE +/- 16.32, N = 3SE +/- 34.38, N = 3SE +/- 6.91, N = 3SE +/- 87.07, N = 3SE +/- 28.65, N = 3SE +/- 32.87, N = 3SE +/- 15.49, N = 3SE +/- 28.27, N = 3SE +/- 28.55, N = 3SE +/- 30.64, N = 3SE +/- 28.30, N = 3SE +/- 7.45, N = 3SE +/- 45.55, N = 3SE +/- 39.30, N = 3143169.1271372.7948284.8323406.40119683.6535086.95143292.7987391.7956973.8594237.6546017.2028528.3485303.35120520.68155994.031. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.5.2EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422004006008001000798.57481.81426.14334.92725.65387.56819.37628.13275.97584.98473.01262.96551.30669.52800.29

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742150K300K450K600K750K6600793176612190551060735405581553476526023877922325074120762081501206223786605417757021661. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774270014002100280035003376.221999.851704.371298.733002.441489.503432.532544.94996.102326.851994.01968.192248.892741.493261.53

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250K100K150K200K250KSE +/- 1230.73, N = 3SE +/- 2693.44, N = 3SE +/- 1793.27, N = 3SE +/- 244.34, N = 3SE +/- 1126.54, N = 3SE +/- 388.59, N = 3SE +/- 2776.27, N = 3SE +/- 2790.65, N = 3SE +/- 1803.14, N = 3SE +/- 2207.46, N = 15SE +/- 936.51, N = 3SE +/- 224.51, N = 3SE +/- 2221.55, N = 3SE +/- 1690.31, N = 3SE +/- 910.59, N = 3227564200705135260517342308719315521938023373014412323652413644258118211361215576215196

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424008001200160020001563.401745.181456.94837.711765.841222.041537.851934.28945.022007.981607.35654.201502.631507.251503.96

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 100 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774215K30K45K60K75KSE +/- 486.09, N = 3SE +/- 387.48, N = 3SE +/- 447.90, N = 12SE +/- 18.98, N = 3SE +/- 709.54, N = 3SE +/- 91.21, N = 3SE +/- 229.52, N = 3SE +/- 406.89, N = 15SE +/- 337.73, N = 15SE +/- 676.58, N = 3SE +/- 309.38, N = 15SE +/- 63.04, N = 3SE +/- 174.06, N = 3SE +/- 539.78, N = 3SE +/- 283.18, N = 35569947662384582133456945318966094951794371525232538586241374761558889706901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.05532.11063.16594.22125.2765SE +/- 0.016, N = 3SE +/- 0.017, N = 3SE +/- 0.029, N = 12SE +/- 0.004, N = 3SE +/- 0.022, N = 3SE +/- 0.009, N = 3SE +/- 0.006, N = 3SE +/- 0.015, N = 15SE +/- 0.024, N = 15SE +/- 0.024, N = 3SE +/- 0.021, N = 15SE +/- 0.011, N = 3SE +/- 0.008, N = 3SE +/- 0.016, N = 3SE +/- 0.005, N = 31.7982.1012.6064.6901.7593.1371.6431.9352.6971.9152.5964.1452.1031.7011.4171. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 100 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742200K400K600K800K1000KSE +/- 3714.01, N = 3SE +/- 1145.86, N = 3SE +/- 406.00, N = 3SE +/- 258.28, N = 3SE +/- 2696.01, N = 3SE +/- 527.65, N = 3SE +/- 2726.39, N = 3SE +/- 1605.99, N = 3SE +/- 501.41, N = 3SE +/- 684.57, N = 3SE +/- 721.66, N = 3SE +/- 196.73, N = 3SE +/- 1146.88, N = 3SE +/- 492.11, N = 3SE +/- 1487.88, N = 38974534991383577811842518325092785109155236106673811846549143445982156175783408354579813821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.12220.24440.36660.48880.611SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1120.2010.2800.5430.1200.3590.1090.1640.2630.1530.2900.4640.1730.1200.1021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774212K24K36K48K60KSE +/- 365.68, N = 3SE +/- 510.25, N = 4SE +/- 306.40, N = 6SE +/- 5.29, N = 3SE +/- 725.42, N = 3SE +/- 98.97, N = 3SE +/- 734.82, N = 3SE +/- 468.05, N = 3SE +/- 92.29, N = 3SE +/- 320.52, N = 13SE +/- 44.96, N = 3SE +/- 32.87, N = 3SE +/- 489.37, N = 5SE +/- 308.59, N = 3SE +/- 858.45, N = 155218141273303131770951444251705431845671281934665532115205414434350381571021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774248121620SE +/- 0.034, N = 3SE +/- 0.075, N = 4SE +/- 0.082, N = 6SE +/- 0.004, N = 3SE +/- 0.069, N = 3SE +/- 0.040, N = 3SE +/- 0.063, N = 3SE +/- 0.056, N = 3SE +/- 0.029, N = 3SE +/- 0.034, N = 13SE +/- 0.011, N = 3SE +/- 0.020, N = 3SE +/- 0.063, N = 5SE +/- 0.031, N = 3SE +/- 0.064, N = 154.8046.0678.25814.1234.8729.9394.6175.4818.8765.3697.79112.1765.6484.9724.4031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742200K400K600K800K1000KSE +/- 5067.03, N = 3SE +/- 1318.12, N = 3SE +/- 891.46, N = 3SE +/- 518.37, N = 3SE +/- 3710.21, N = 3SE +/- 696.35, N = 3SE +/- 6923.68, N = 3SE +/- 1108.32, N = 3SE +/- 248.26, N = 3SE +/- 1178.79, N = 3SE +/- 804.68, N = 3SE +/- 681.51, N = 3SE +/- 853.89, N = 3SE +/- 1360.28, N = 3SE +/- 6275.15, N = 38999925216533684491698327914562756779397506141833970386557743432292133455875487756879976521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.33140.66280.99421.32561.657SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.2790.4800.6791.4730.3160.9080.2670.4070.6300.3820.7291.1730.4260.3230.2511. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774290K180K270K360K450KSE +/- 4507.61, N = 3SE +/- 3460.73, N = 3SE +/- 639.41, N = 3SE +/- 533.37, N = 3SE +/- 5135.26, N = 3SE +/- 1365.59, N = 3SE +/- 4382.81, N = 3SE +/- 430.27, N = 3SE +/- 428.23, N = 3SE +/- 3270.77, N = 3SE +/- 1079.81, N = 3SE +/- 183.84, N = 3SE +/- 2791.26, N = 3SE +/- 4280.31, N = 3SE +/- 3531.23, N = 15371448.21415583.96405905.78399110.88394639.23418080.47376241.11413354.59433091.73422944.46420324.96424600.07404313.15386824.54380625.691. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

KeyDB

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterKeyDB 6.0.16EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742160032004800640080003833.655903.166206.077415.884838.077232.184095.785856.344143.956102.857158.885640.604517.764228.114123.94

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742300K600K900K1200K1500KSE +/- 1936.89, N = 3SE +/- 607.09, N = 3SE +/- 842.53, N = 3SE +/- 1045.78, N = 3SE +/- 2507.53, N = 3SE +/- 1165.03, N = 3SE +/- 2041.67, N = 3SE +/- 1998.87, N = 3SE +/- 771.81, N = 3SE +/- 577.19, N = 3SE +/- 1258.02, N = 3SE +/- 2229.96, N = 3SE +/- 2350.83, N = 3SE +/- 472.72, N = 3SE +/- 2430.14, N = 31212918.21248284.11188387.21041996.81208480.81143360.51209698.01262530.41247037.61162690.91172021.11155871.81197778.91215056.11217027.7

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec Per Watt, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424K8K12K16K20K12097.1617298.6917671.8519005.4314523.7319247.1012804.7017421.8511716.2916668.2119191.0415038.7812972.7512867.2912759.88

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742300K600K900K1200K1500KSE +/- 628.66, N = 3SE +/- 2008.07, N = 3SE +/- 1121.87, N = 3SE +/- 1442.60, N = 3SE +/- 686.09, N = 3SE +/- 1242.45, N = 3SE +/- 762.66, N = 3SE +/- 702.94, N = 3SE +/- 2686.24, N = 3SE +/- 295.02, N = 3SE +/- 1061.91, N = 3SE +/- 1176.92, N = 3SE +/- 759.90, N = 3SE +/- 1733.41, N = 3SE +/- 546.91, N = 31308517.21290897.81249264.61113861.31288738.61185857.81294664.51303437.61438050.41206497.81211354.31279851.81281490.51295588.81294605.5

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec Per Watt, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424K8K12K16K20K12919.7017743.6418467.7519958.0515448.0919817.6713662.8617835.7113202.4317199.2519723.3716288.2413818.7113661.3913552.63

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.55, N = 3SE +/- 0.52, N = 3SE +/- 0.51, N = 3SE +/- 0.41, N = 3SE +/- 0.35, N = 3SE +/- 1.02, N = 4SE +/- 0.34, N = 3SE +/- 1.14, N = 3SE +/- 0.45, N = 3SE +/- 0.45, N = 3SE +/- 0.89, N = 3SE +/- 0.48, N = 3SE +/- 0.64, N = 3SE +/- 0.03, N = 3SE +/- 0.42, N = 397.9586.6889.43107.0192.5992.3597.3086.2383.2886.5787.9493.7991.3291.5197.231. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742300K600K900K1200K1500KSE +/- 22602.36, N = 12SE +/- 4313.29, N = 3SE +/- 12613.83, N = 5SE +/- 11537.36, N = 4SE +/- 14106.76, N = 3SE +/- 17229.52, N = 15SE +/- 18435.82, N = 15SE +/- 14615.10, N = 4SE +/- 8091.69, N = 3SE +/- 15275.38, N = 3SE +/- 15930.17, N = 3SE +/- 13442.74, N = 3SE +/- 15826.22, N = 15SE +/- 16083.41, N = 14SE +/- 9391.21, N = 31228831.791147451.381173570.001126925.501170719.461156241.741200527.311180459.911336546.211189270.871143594.631315900.461186674.321183717.451185927.041. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: SETEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77427K14K21K28K35K22530.9829418.4429192.7833238.2024980.5333520.2621301.3729043.8523705.7929411.0731275.5530367.3721182.6621774.4520916.31

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742400K800K1200K1600K2000KSE +/- 18256.32, N = 3SE +/- 13170.58, N = 15SE +/- 13583.32, N = 6SE +/- 18495.33, N = 15SE +/- 8071.25, N = 3SE +/- 12289.67, N = 3SE +/- 13883.40, N = 3SE +/- 18437.40, N = 3SE +/- 17849.12, N = 5SE +/- 13573.21, N = 15SE +/- 14367.89, N = 15SE +/- 19118.80, N = 4SE +/- 21214.43, N = 3SE +/- 11135.64, N = 15SE +/- 14975.61, N = 31482738.921466557.031438157.731421564.351450496.711372468.881417246.671419600.131635794.571508082.411414840.411601070.501481804.001437534.231493222.211. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: GETEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429K18K27K36K45K27989.2039042.9336649.4442939.7531741.9940587.4925840.0035995.9329783.1438176.8239449.1437914.8427229.6927083.6526979.35

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230060090012001500SE +/- 6.84, N = 3SE +/- 1.20, N = 3SE +/- 1.86, N = 3SE +/- 9.68, N = 3SE +/- 9.35, N = 3SE +/- 9.54, N = 3SE +/- 10.82, N = 3SE +/- 5.46, N = 3SE +/- 1.20, N = 3SE +/- 8.01, N = 3SE +/- 8.33, N = 3SE +/- 7.33, N = 3SE +/- 7.55, N = 3SE +/- 6.89, N = 31166115911721213117812081184117399911371221998118011841166

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.33, N = 3129131130135133134133128110129135111131134127

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421326395265SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.44, N = 3SE +/- 0.40, N = 3SE +/- 0.52, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.37, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.27, N = 3SE +/- 0.45, N = 3SE +/- 0.26, N = 3SE +/- 0.37, N = 3SE +/- 0.19, N = 357.557.257.659.558.160.058.656.950.456.759.149.158.358.456.8

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3133133135143134138134132114135139115134135130

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3135135137141137141137135116133142116137138133

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742510152025SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 320.220.220.421.120.521.020.519.917.519.921.317.220.420.519.9

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250100150200250SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3198200202208202208202197174198208171202203195

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742130K260K390K520K650KSE +/- 1921.47, N = 3SE +/- 4035.67, N = 3SE +/- 957.34, N = 3SE +/- 569.07, N = 3SE +/- 142.64, N = 3SE +/- 2157.92, N = 3SE +/- 1174.39, N = 3SE +/- 948.15, N = 3SE +/- 1476.72, N = 3SE +/- 741.11, N = 3SE +/- 973.54, N = 3SE +/- 7086.33, N = 3SE +/- 4131.15, N = 3SE +/- 215.70, N = 3SE +/- 1456.19, N = 3529609542521524189511906523575513356524751531740614039539060511228621672532957521572540797

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423K6K9K12K15K7643.2511170.8810676.0512522.009050.7412418.027697.4310842.618583.5911143.9912087.8111604.837829.148074.568013.00

Perl Benchmarks

Test: Pod2html

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.03520.07040.10560.14080.176SE +/- 0.00022828, N = 3SE +/- 0.00052181, N = 3SE +/- 0.00104595, N = 3SE +/- 0.00101629, N = 3SE +/- 0.00076232, N = 3SE +/- 0.00070595, N = 3SE +/- 0.00009609, N = 3SE +/- 0.00050264, N = 3SE +/- 0.00013172, N = 3SE +/- 0.00010921, N = 3SE +/- 0.00047942, N = 3SE +/- 0.00007037, N = 3SE +/- 0.00097851, N = 3SE +/- 0.00113052, N = 3SE +/- 0.00081699, N = 30.149543390.145735970.149784890.156532080.151249760.154578900.149767950.148592730.129242850.148508120.153417050.128195450.149882930.148682530.14554143

Perl Benchmarks

Test: Interpreter

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.00020.00040.00060.00080.001SE +/- 0.00000621, N = 3SE +/- 0.00000962, N = 3SE +/- 0.00000413, N = 3SE +/- 0.00000737, N = 3SE +/- 0.00000921, N = 3SE +/- 0.00001257, N = 3SE +/- 0.00000365, N = 3SE +/- 0.00000724, N = 3SE +/- 0.00000483, N = 3SE +/- 0.00000879, N = 3SE +/- 0.00000497, N = 3SE +/- 0.00001015, N = 3SE +/- 0.00000252, N = 3SE +/- 0.00000264, N = 3SE +/- 0.00000656, N = 30.000970840.000955860.000954780.001006080.000961530.000980740.000974550.000960820.000825700.000954850.000992100.000835630.000967530.000965790.00096116

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.520.530.520.500.520.500.520.520.610.530.500.620.510.520.531. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.010.010.010.010.010.01

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.08550.1710.25650.3420.4275SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.330.330.310.320.320.320.330.380.330.320.380.320.320.331. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.01

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.11930.23860.35790.47720.5965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.460.460.450.440.450.440.450.460.530.460.440.530.450.450.461. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: KostyaEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.010.010.010.010.010.01

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.14180.28360.42540.56720.709SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.540.530.530.520.520.510.530.530.620.540.510.630.520.520.541. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.010.010.010.010.010.01

Facebook RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774270K140K210K280K350KSE +/- 166.32, N = 3SE +/- 607.97, N = 3SE +/- 204.78, N = 3SE +/- 749.32, N = 3SE +/- 223.01, N = 3SE +/- 735.95, N = 3SE +/- 219.22, N = 3SE +/- 436.15, N = 3SE +/- 344.84, N = 3SE +/- 203.74, N = 3SE +/- 175.05, N = 3SE +/- 622.13, N = 3SE +/- 768.33, N = 3SE +/- 23.47, N = 3287115216427163248943713313001315833334122593531725852587591635351008432536893317913314391. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Facebook RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774270014002100280035002752.633035.682693.492127.713130.892715.042353.303252.081704.393314.423041.801654.282535.972741.842391.11

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250M100M150M200M250MSE +/- 2628540.04, N = 3SE +/- 701112.41, N = 3SE +/- 731623.27, N = 6SE +/- 468827.18, N = 3SE +/- 1503518.94, N = 3SE +/- 532212.35, N = 3SE +/- 1573991.80, N = 3SE +/- 298644.62, N = 3SE +/- 33050.19, N = 3SE +/- 979987.31, N = 3SE +/- 860580.20, N = 3SE +/- 173513.15, N = 3SE +/- 577476.24, N = 3SE +/- 1627088.40, N = 3SE +/- 2178579.83, N = 32184698241143914347697209039206156185095008569289672147177601393380569388313014748828074816560483317351330385501857129822382397361. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742200K400K600K800K1000K1144599.80752967.14623360.93482400.321055932.79561814.901165531.87931173.20405107.75861998.88744401.17383902.17820332.86966385.491116784.85

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422M4M6M8M10MSE +/- 47749.78, N = 3SE +/- 43537.48, N = 3SE +/- 25144.15, N = 3SE +/- 1710.84, N = 3SE +/- 44027.23, N = 3SE +/- 24217.23, N = 3SE +/- 27617.12, N = 3SE +/- 24292.51, N = 3SE +/- 8186.58, N = 3SE +/- 55384.00, N = 3SE +/- 26792.49, N = 3SE +/- 10805.74, N = 13SE +/- 32730.71, N = 3SE +/- 69440.76, N = 6SE +/- 61282.17, N = 128232474439769530862371470621718357923579288175383548606630123875564433302323916036735214302713160085974521. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429K18K27K36K45K43072.9728233.6924738.5018803.6940538.4423416.2944350.1036657.2214841.4432038.2029403.1114725.0131284.4137151.1641351.79

ebizzy

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742600K1200K1800K2400K3000KSE +/- 25794.01, N = 15SE +/- 15686.47, N = 3SE +/- 8057.83, N = 3SE +/- 4933.88, N = 3SE +/- 24033.50, N = 3SE +/- 906.56, N = 3SE +/- 34594.95, N = 12SE +/- 10663.27, N = 3SE +/- 7117.75, N = 3SE +/- 8453.72, N = 3SE +/- 8956.45, N = 3SE +/- 6904.71, N = 7SE +/- 15669.57, N = 3SE +/- 37169.94, N = 3SE +/- 24194.67, N = 152701767172185412084666232722456511883965276264719478361475280213685010219907768801977325271938828537831. (CC) gcc options: -pthread -lpthread -O3 -march=native

ebizzy

OpenBenchmarking.orgRecords/s Per Watt, More Is Betterebizzy 0.3EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424K8K12K16K20K16026.5712779.0610725.427399.8415696.639696.4216672.7614373.637194.4213548.3911127.275966.0313352.1115813.4715179.50

BlogBench

Test: Read

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742400K800K1200K1600K2000KSE +/- 10548.76, N = 3SE +/- 7805.03, N = 3SE +/- 7235.14, N = 3SE +/- 16960.13, N = 3SE +/- 4883.16, N = 3SE +/- 20232.46, N = 3SE +/- 9874.65, N = 3SE +/- 7760.40, N = 3SE +/- 13461.20, N = 3SE +/- 7106.01, N = 3SE +/- 12175.94, N = 3SE +/- 14389.61, N = 3SE +/- 13194.50, N = 3SE +/- 14031.09, N = 3SE +/- 16576.40, N = 31372955195961518984281944496177162420231801397475195008016765161923368204303717720371636092158335013731571. (CC) gcc options: -O2 -pthread

BlogBench

Test: Read

OpenBenchmarking.orgFinal Score Per Watt, More Is BetterBlogBench 1.1Test: ReadEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77426K12K18K24K30K10196.9121034.0722851.8129655.3815592.3628304.9810885.3720067.1412966.2920274.6227647.8419861.2114192.8612835.0310813.36

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742918273645SE +/- 0.12, N = 4SE +/- 0.07, N = 4SE +/- 0.12, N = 4SE +/- 0.11, N = 4SE +/- 0.11, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 4SE +/- 0.08, N = 4SE +/- 0.08, N = 4SE +/- 0.04, N = 4SE +/- 0.10, N = 4SE +/- 0.07, N = 4SE +/- 0.07, N = 4SE +/- 0.06, N = 4SE +/- 0.15, N = 435.9335.6936.3637.4036.4037.4036.2035.7330.7535.2737.5530.8436.2436.2835.301. (CC) gcc options: -O2 -std=c99

Botan

Test: AES-256

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774211002200330044005500SE +/- 1.00, N = 3SE +/- 0.83, N = 3SE +/- 0.26, N = 3SE +/- 13.87, N = 3SE +/- 3.88, N = 3SE +/- 7.02, N = 3SE +/- 0.85, N = 3SE +/- 3.31, N = 3SE +/- 1.30, N = 3SE +/- 2.98, N = 3SE +/- 0.80, N = 3SE +/- 1.69, N = 3SE +/- 1.33, N = 3SE +/- 3.58, N = 3SE +/- 2.46, N = 34499.504487.904430.724311.064421.414290.854429.194497.775226.754561.194293.875238.764429.474425.924549.531. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Botan

Test: AES-256

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: AES-256EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422040608010066.8396.3694.08109.5679.86108.2167.1795.1276.1197.57105.14101.5067.5770.2869.94

Botan

Test: Blowfish

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774290180270360450SE +/- 0.16, N = 3SE +/- 0.40, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.22, N = 3368.93368.38362.20352.29363.50352.07362.99368.69429.14374.52351.14429.41363.10361.80374.201. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Botan

Test: Blowfish

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: BlowfishEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774236912155.497.927.708.966.508.885.517.856.218.018.628.255.525.835.72

Botan

Test: CAST-256

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3120.00119.99117.88114.59118.32114.69118.23120.06139.71121.92114.47139.83118.29117.99121.711. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Botan

Test: CAST-256

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.6751.352.0252.73.3751.832.652.563.002.162.981.822.612.092.672.882.831.831.931.90

Botan

Test: KASUMI

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 377.7077.5776.5174.2776.5874.2176.5577.6990.4278.8874.0690.4676.5376.2278.861. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Botan

Test: KASUMI

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: KASUMIEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.43650.8731.30951.7462.18251.181.701.661.941.401.921.181.691.331.731.861.821.181.251.23

Botan

Test: Twofish

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774280160240320400SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.37, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3302.14302.12297.65288.70297.10288.62297.81302.25351.63306.62287.93351.99297.71296.91306.481. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Botan

Test: Twofish

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: TwofishEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422468104.506.506.287.375.417.304.536.425.106.607.116.824.574.774.68

Crypto++

Test: Unkeyed Algorithms

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774270140210280350SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.25, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.93, N = 3SE +/- 0.55, N = 3298.73298.49294.44286.19293.88286.18293.81298.71342.93302.93285.25343.61294.27292.60301.541. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

Crypto++

Test: Unkeyed Algorithms

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422468104.296.185.987.095.147.014.316.134.766.266.836.504.264.524.46

Crypto++

Test: Keyed Algorithms

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742140280420560700SE +/- 0.06, N = 3SE +/- 0.56, N = 3SE +/- 0.13, N = 3SE +/- 0.59, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.63, N = 3SE +/- 0.31, N = 3SE +/- 0.14, N = 3SE +/- 0.77, N = 3SE +/- 0.21, N = 3SE +/- 0.29, N = 3SE +/- 0.27, N = 3SE +/- 0.31, N = 3SE +/- 0.40, N = 3539.45538.09530.36513.65530.80514.85529.62539.17628.21546.72513.60627.44531.14529.60546.251. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

Crypto++

Test: Keyed Algorithms

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774236912157.5410.8410.6312.399.0012.287.5810.788.4311.0112.0311.447.577.987.86

Crypto++

Test: Integer + Elliptic Curve Public Key Algorithms

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774210002000300040005000SE +/- 5.35, N = 3SE +/- 2.96, N = 3SE +/- 1.09, N = 3SE +/- 5.48, N = 3SE +/- 2.54, N = 3SE +/- 1.24, N = 3SE +/- 2.07, N = 3SE +/- 4.11, N = 3SE +/- 3.14, N = 3SE +/- 5.67, N = 3SE +/- 2.72, N = 3SE +/- 2.49, N = 3SE +/- 3.97, N = 3SE +/- 3.12, N = 3SE +/- 8.28, N = 34152.604151.294086.083949.444085.533965.034091.784139.984834.054207.913949.004835.024089.124072.764199.911. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

Crypto++

Test: Integer + Elliptic Curve Public Key Algorithms

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422040608010057.6382.6981.2094.0768.5093.3658.1281.9064.1483.9491.5987.2457.1861.0860.24

C-Blosc

Compressor: blosclz

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422K4K6K8K10KSE +/- 20.77, N = 3SE +/- 4.79, N = 3SE +/- 5.79, N = 3SE +/- 13.17, N = 3SE +/- 22.60, N = 3SE +/- 6.54, N = 3SE +/- 18.47, N = 3SE +/- 6.00, N = 3SE +/- 27.57, N = 3SE +/- 0.44, N = 3SE +/- 21.69, N = 3SE +/- 15.51, N = 3SE +/- 8.53, N = 3SE +/- 9.12, N = 3SE +/- 17.64, N = 38372.710178.310476.89386.89155.09442.98328.29808.010910.19878.09400.711206.810253.39301.08355.91. (CXX) g++ options: -rdynamic

C-Blosc

Compressor: blosclz

OpenBenchmarking.orgMB/s Per Watt, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742408012016020077.37145.89160.12182.90104.37173.9083.21135.67109.47138.76165.18165.32106.5593.8880.86

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422K4K6K8K10KSE +/- 33.88, N = 3SE +/- 21.24, N = 3SE +/- 34.67, N = 3SE +/- 5.69, N = 3SE +/- 25.58, N = 3SE +/- 6.17, N = 3SE +/- 8.45, N = 3SE +/- 18.74, N = 3SE +/- 20.53, N = 3SE +/- 4.93, N = 3SE +/- 3.19, N = 3SE +/- 4.75, N = 3SE +/- 14.29, N = 3SE +/- 34.97, N = 3SE +/- 6.83, N = 38248.38033.07699.45123.28172.06498.48287.77903.67899.77885.06706.26573.98476.38499.28270.41. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230609012015094.05124.95124.18101.96108.55122.0498.16121.3986.38121.69123.7096.70100.70102.1094.38

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150SE +/- 1.22, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.55, N = 3SE +/- 0.09, N = 3SE +/- 0.79, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.38, N = 3147.596.973.837.3125.755.2149.6114.376.1114.466.447.0122.7130.1148.81. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.32180.64360.96541.28721.6091.311.201.000.661.330.891.381.380.691.431.010.631.171.241.38

XZ Compression

Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742816243240SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 9SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 322.0522.4023.1534.5122.5425.6622.0522.4221.4322.3024.9029.6122.0922.0121.981. (CC) gcc options: -pthread -fvisibility=hidden -O2

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260K120K180K240K300KSE +/- 226.28, N = 3SE +/- 315.33, N = 3SE +/- 192.03, N = 3SE +/- 84.48, N = 3SE +/- 453.51, N = 3SE +/- 108.98, N = 3SE +/- 419.38, N = 3SE +/- 249.88, N = 3SE +/- 558.99, N = 3SE +/- 190.42, N = 3SE +/- 313.91, N = 3SE +/- 288.04, N = 3SE +/- 894.75, N = 3SE +/- 370.12, N = 3SE +/- 1266.96, N = 326490813857595137459412297476965527014017136210906917614890588569551712422340622796561. (CXX) g++ options: -pipe -lpthread

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424008001200160020001772.211091.49969.68710.081667.35872.021860.211397.09654.081318.891034.12601.781207.721524.061784.05

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421224364860SE +/- 0.42, N = 7SE +/- 0.55, N = 4SE +/- 0.53, N = 3SE +/- 0.43, N = 3SE +/- 0.65, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 3SE +/- 0.29, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.35, N = 3SE +/- 0.37, N = 3SE +/- 0.56, N = 3SE +/- 0.31, N = 1345.6945.9844.5344.9345.3843.2345.1945.7752.8245.9044.3852.7944.6944.8446.201. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422K4K6K8K10KSE +/- 18.64, N = 7SE +/- 36.01, N = 4SE +/- 93.14, N = 3SE +/- 44.49, N = 3SE +/- 54.81, N = 3SE +/- 29.05, N = 3SE +/- 44.06, N = 3SE +/- 14.46, N = 3SE +/- 89.78, N = 3SE +/- 29.33, N = 3SE +/- 66.67, N = 3SE +/- 34.53, N = 3SE +/- 43.54, N = 3SE +/- 27.58, N = 3SE +/- 16.13, N = 1310162.010209.310172.710063.010159.710101.010170.710232.810099.610222.410112.210567.210118.010123.010233.11. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250100150200250139.07199.84198.83233.97166.50232.15143.59198.84134.23199.63227.31188.33141.26147.53145.09

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421224364860SE +/- 0.30, N = 14SE +/- 0.34, N = 3SE +/- 0.42, N = 3SE +/- 0.44, N = 5SE +/- 0.48, N = 5SE +/- 0.61, N = 3SE +/- 0.42, N = 3SE +/- 0.39, N = 3SE +/- 0.42, N = 3SE +/- 0.28, N = 3SE +/- 0.13, N = 3SE +/- 0.36, N = 15SE +/- 0.02, N = 3SE +/- 0.30, N = 3SE +/- 0.51, N = 444.5445.0943.9843.1744.4942.9444.8044.6852.0245.1342.2551.9543.6943.8645.031. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422K4K6K8K10KSE +/- 25.22, N = 14SE +/- 36.49, N = 3SE +/- 35.59, N = 3SE +/- 28.32, N = 5SE +/- 28.28, N = 5SE +/- 37.27, N = 3SE +/- 42.91, N = 3SE +/- 31.02, N = 3SE +/- 33.96, N = 3SE +/- 71.90, N = 3SE +/- 51.98, N = 3SE +/- 12.37, N = 15SE +/- 51.28, N = 3SE +/- 69.66, N = 3SE +/- 34.36, N = 410219.510256.310132.110057.810156.510070.210249.310184.510068.510292.510110.910561.910188.610229.610249.51. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250100150200250139.63201.08197.87234.32166.46231.30144.64197.68134.54201.45228.69183.94142.36149.30145.49

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742400K800K1200K1600K2000KSE +/- 1046.01, N = 3SE +/- 1542.09, N = 3SE +/- 1815.81, N = 3SE +/- 102.44, N = 3SE +/- 10873.39, N = 3SE +/- 270.65, N = 3SE +/- 473.83, N = 3SE +/- 609.31, N = 3SE +/- 1470.27, N = 3SE +/- 1150.50, N = 3SE +/- 538.09, N = 3SE +/- 818.34, N = 3SE +/- 707.15, N = 3SE +/- 8320.13, N = 3SE +/- 1593.22, N = 31845888.80902070.15603381.33293387.401530338.79440879.641867023.461147733.95716393.881203386.72586659.10356570.411123555.301550727.151985242.501. (CC) gcc options: -O2 -lrt" -lrt

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423K6K9K12K15K11585.516564.905810.654345.6510306.405295.2111942.558528.233863.568324.836395.913489.817324.679244.9611713.97

ctx_clock

Context Switch Time

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250100150200250120168180217132203120150175174196185144138135

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425K10K15K20K25KSE +/- 24.42, N = 3SE +/- 3.25, N = 3SE +/- 1.11, N = 3SE +/- 8.87, N = 3SE +/- 23.53, N = 3SE +/- 5.85, N = 3SE +/- 45.79, N = 3SE +/- 8.85, N = 3SE +/- 1.01, N = 3SE +/- 39.53, N = 3SE +/- 4.51, N = 3SE +/- 4.39, N = 3SE +/- 14.79, N = 3SE +/- 30.57, N = 3SE +/- 63.30, N = 319926.618541.125622.822708.9015958.164078.2120174.7611121.596629.0611234.605463.453306.3910901.4716152.0821092.561. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150119.9479.2868.6148.74108.9261.95125.4996.7247.4494.2275.0841.6182.6990.68120.79

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423K6K9K12K15KSE +/- 5.99, N = 3SE +/- 0.38, N = 3SE +/- 5.77, N = 3SE +/- 0.98, N = 3SE +/- 6.05, N = 3SE +/- 0.42, N = 3SE +/- 2.16, N = 3SE +/- 6.32, N = 3SE +/- 2.53, N = 3SE +/- 2.98, N = 3SE +/- 0.60, N = 3SE +/- 2.21, N = 3SE +/- 2.43, N = 3SE +/- 11.28, N = 3SE +/- 14.83, N = 311996.595847.703871.571878.749992.152821.1912091.567273.714580.087720.583760.662288.337105.7310112.2213026.171. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742163248648068.0840.8137.0628.5261.8833.8670.1152.9124.3849.4940.3923.0345.6055.9168.59

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774290K180K270K360K450KSE +/- 205.94, N = 3SE +/- 100.32, N = 3SE +/- 3.30, N = 3SE +/- 4.97, N = 3SE +/- 189.45, N = 3SE +/- 1.61, N = 3SE +/- 137.59, N = 3SE +/- 66.32, N = 3SE +/- 3.54, N = 3SE +/- 32.95, N = 3SE +/- 4.86, N = 3SE +/- 4.12, N = 3SE +/- 47.74, N = 3SE +/- 9.93, N = 3SE +/- 31.36, N = 3397326.45182716.39120826.8158583.38328019.7087851.58400773.38237596.66142756.35241722.09117080.8671366.17232455.68332363.94427545.661. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250010001500200025002315.411407.241278.65961.662071.711163.292387.461705.78850.731741.291400.36783.291476.941829.622265.28

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774240K80K120K160K200KSE +/- 558.83, N = 3SE +/- 377.08, N = 3SE +/- 123.36, N = 3SE +/- 186.09, N = 3SE +/- 457.19, N = 3SE +/- 183.06, N = 3SE +/- 1795.92, N = 3SE +/- 1288.21, N = 3SE +/- 417.25, N = 3SE +/- 157.32, N = 3SE +/- 294.16, N = 3SE +/- 382.53, N = 3SE +/- 270.71, N = 3SE +/- 217.28, N = 3SE +/- 602.57, N = 3179226.2492207.0763930.7231690.60152001.9546780.94179496.78112205.0176923.39122762.9659431.0338378.08110766.79127853.09197426.571. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422004006008001000987.36638.73545.34412.61911.37484.491022.61791.90348.06751.29617.90324.00717.75701.63984.98

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424K8K12K16K20KSE +/- 57.10, N = 3SE +/- 16.45, N = 3SE +/- 6.53, N = 3SE +/- 24.34, N = 3SE +/- 24.65, N = 3SE +/- 8.24, N = 3SE +/- 64.33, N = 3SE +/- 30.09, N = 3SE +/- 17.97, N = 3SE +/- 32.93, N = 3SE +/- 16.90, N = 3SE +/- 13.57, N = 3SE +/- 125.44, N = 9SE +/- 88.09, N = 3SE +/- 21.66, N = 319577.0313570.839499.334965.9618192.327332.8219990.7516396.578415.1917266.219134.725638.5315568.2418451.9120955.931. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742306090120150109.9492.0479.4167.53110.2375.36115.18114.8942.43104.7893.4051.3398.20100.85107.24

Stress-NG

Test: Context Switching

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425M10M15M20M25MSE +/- 235328.27, N = 3SE +/- 28222.94, N = 3SE +/- 35625.01, N = 3SE +/- 9437.39, N = 3SE +/- 29075.41, N = 3SE +/- 15626.15, N = 3SE +/- 163606.09, N = 3SE +/- 19374.10, N = 3SE +/- 30731.73, N = 3SE +/- 65922.96, N = 3SE +/- 32954.83, N = 3SE +/- 6120.44, N = 3SE +/- 55451.20, N = 3SE +/- 79112.63, N = 3SE +/- 206001.50, N = 720917619.7610443329.127003110.183438510.3517727598.845095560.1620981193.8812896969.648225794.4013858394.616612368.674265815.0312627261.9317595501.8122318900.991. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Context Switching

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230K60K90K120K150K117242.0670344.0763978.3150370.93107976.9358318.22120719.3893564.1141954.8286092.8268963.8640925.6380883.7097803.22115852.78

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421224364860SE +/- 0.81, N = 15SE +/- 0.69, N = 12SE +/- 0.68, N = 15SE +/- 0.49, N = 13SE +/- 0.96, N = 12SE +/- 0.77, N = 12SE +/- 0.36, N = 3SE +/- 1.28, N = 12SE +/- 1.23, N = 12SE +/- 0.67, N = 3SE +/- 0.37, N = 15SE +/- 0.72, N = 15SE +/- 1.06, N = 15SE +/- 0.62, N = 3SE +/- 1.24, N = 1543.7041.1132.7232.5349.7825.1744.3645.2346.3949.1930.1224.8551.3951.1348.861. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.15530.31060.46590.62120.77650.500.620.540.630.630.500.530.660.470.690.550.380.580.570.56

Stream

Type: Copy

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: CopyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 31.65, N = 5SE +/- 5.59, N = 5SE +/- 8.02, N = 5SE +/- 9.94, N = 5SE +/- 15.41, N = 5SE +/- 7.06, N = 5SE +/- 13.27, N = 5SE +/- 14.85, N = 5SE +/- 330.72, N = 5SE +/- 5.66, N = 5SE +/- 2.37, N = 5SE +/- 52.59, N = 5SE +/- 10.31, N = 5SE +/- 47.63, N = 5SE +/- 14.28, N = 590511.879677.280140.152390.088717.251714.490296.579342.966901.179674.151093.182399.790663.291703.290141.71. (CC) gcc options: -O3 -march=native -fopenmp

Stream

Type: Copy

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream 2013-01-17Type: CopyEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422004006008001000648.19902.051003.43854.90790.62785.09678.70844.44560.85873.56734.63973.24762.36729.38676.56

Stream

Type: Scale

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: ScaleEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 27.01, N = 5SE +/- 7.47, N = 5SE +/- 10.74, N = 5SE +/- 61.32, N = 5SE +/- 32.31, N = 5SE +/- 4.61, N = 5SE +/- 21.55, N = 5SE +/- 12.22, N = 5SE +/- 31.64, N = 5SE +/- 14.00, N = 5SE +/- 3.08, N = 5SE +/- 30.51, N = 5SE +/- 18.59, N = 5SE +/- 55.03, N = 5SE +/- 19.79, N = 587714.679147.379703.552630.186805.651978.287848.178638.667011.978399.951044.281753.089487.687579.987905.61. (CC) gcc options: -O3 -march=native -fopenmp

Stream

Type: Add

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: AddEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 25.81, N = 5SE +/- 9.19, N = 5SE +/- 17.97, N = 5SE +/- 61.95, N = 5SE +/- 16.17, N = 5SE +/- 9.00, N = 5SE +/- 29.12, N = 5SE +/- 13.36, N = 5SE +/- 39.00, N = 5SE +/- 16.89, N = 5SE +/- 6.11, N = 5SE +/- 18.23, N = 5SE +/- 7.96, N = 5SE +/- 23.20, N = 5SE +/- 23.05, N = 597206.386805.687568.856795.195807.055911.697180.986677.272752.286737.755437.289255.497912.597944.297124.31. (CC) gcc options: -O3 -march=native -fopenmp

Stream

Type: Add

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream 2013-01-17Type: AddEPYC 7702EPYC 7F5250010001500200025002144.891709.94

Stream

Type: Triad

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: TriadEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 26.33, N = 5SE +/- 7.48, N = 5SE +/- 5.88, N = 5SE +/- 65.26, N = 5SE +/- 11.91, N = 5SE +/- 2.27, N = 5SE +/- 21.10, N = 5SE +/- 19.43, N = 5SE +/- 194.23, N = 5SE +/- 36.22, N = 5SE +/- 8.84, N = 5SE +/- 59.32, N = 5SE +/- 16.47, N = 5SE +/- 33.62, N = 5SE +/- 20.07, N = 598034.887308.488105.756788.696497.156066.698343.287239.872315.687057.055596.389567.299248.297940.098248.01. (CC) gcc options: -O3 -march=native -fopenmp

Tinymembench

Standard Memset

OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard MemsetEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424K8K12K16K20KSE +/- 217.98, N = 3SE +/- 46.42, N = 3SE +/- 20.90, N = 3SE +/- 21.61, N = 3SE +/- 217.68, N = 3SE +/- 37.39, N = 3SE +/- 52.61, N = 3SE +/- 13.93, N = 3SE +/- 39.37, N = 3SE +/- 39.21, N = 3SE +/- 18.80, N = 3SE +/- 28.30, N = 3SE +/- 27.08, N = 3SE +/- 169.52, N = 3SE +/- 58.19, N = 917329.814961.414820.314571.716494.414776.415640.115097.115585.715872.014921.316357.214786.916261.516300.81. (CC) gcc options: -O2 -lm

Tinymembench

Standard Memset

OpenBenchmarking.orgMB/s Per Watt, More Is BetterTinymembench 2018-05-28Standard MemsetEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774270140210280350236.78284.81279.72332.00268.71334.79215.62289.31209.76303.95333.88286.11202.28239.76223.59

MBW

Test: Memory Copy - Array Size: 8192 MiB

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 8192 MiBEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423K6K9K12K15KSE +/- 67.71, N = 3SE +/- 93.82, N = 3SE +/- 60.36, N = 3SE +/- 33.58, N = 3SE +/- 23.45, N = 3SE +/- 85.10, N = 3SE +/- 2.47, N = 3SE +/- 83.23, N = 3SE +/- 1.29, N = 3SE +/- 24.53, N = 3SE +/- 87.56, N = 3SE +/- 4.94, N = 3SE +/- 36.28, N = 3SE +/- 36.16, N = 3SE +/- 38.86, N = 315599.9015510.9215480.2915523.1415459.1615482.7115616.9015621.6414958.1915641.0915482.7415666.7015503.0515528.6515534.981. (CC) gcc options: -O3 -march=native

MBW

Test: Memory Copy - Array Size: 8192 MiB

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 8192 MiBEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774270140210280350192.02268.62266.51315.08230.35311.47201.36269.18182.44272.57306.50248.71194.18204.18197.21

Hugin

Panorama Photo Assistant + Stitching Time

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421326395265SE +/- 0.32, N = 3SE +/- 0.41, N = 3SE +/- 0.45, N = 3SE +/- 0.80, N = 3SE +/- 0.28, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.42, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.50, N = 3SE +/- 0.33, N = 3SE +/- 0.36, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 355.6853.3655.7759.3155.4257.2455.9553.7250.5952.9956.1052.9955.5755.3055.60

OCRMyPDF

Processing 60 Page PDF Document

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742816243240SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 318.7320.8723.3933.0218.8626.9018.7919.3819.8618.6624.2327.2019.9419.0918.14

RawTherapee

Total Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421632486480SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.59, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 356.0353.9358.5172.4754.4962.7655.0452.7453.1552.1361.5462.2454.7754.4855.611. RawTherapee, version 5.8, command line.

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742918273645SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 334.5034.0333.7132.4833.6433.1234.0134.1138.0134.3833.0838.5933.0632.3134.731. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.13950.2790.41850.5580.69750.400.550.550.620.470.620.410.550.400.550.610.530.410.400.41

Google SynthMark

Test: VoiceMark_100

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742160320480640800SE +/- 0.57, N = 3SE +/- 0.32, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.70, N = 3SE +/- 0.12, N = 3SE +/- 0.57, N = 3SE +/- 0.11, N = 3SE +/- 0.59, N = 3SE +/- 0.70, N = 3SE +/- 0.36, N = 3SE +/- 0.17, N = 3SE +/- 0.46, N = 3SE +/- 0.76, N = 3SE +/- 0.66, N = 3635.92636.43627.74608.61626.57608.05624.73637.38739.72645.87605.83740.58627.06623.84643.821. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

Google SynthMark

Test: VoiceMark_100

OpenBenchmarking.orgVoices Per Watt, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742481216209.4913.6113.1115.4711.2515.339.4813.5110.8913.8314.8414.599.499.919.87

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742918273645SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.02, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.02, N = 413.3018.1723.3439.6714.2429.2413.2116.3119.8615.6424.2432.6316.7014.1912.841. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Basis Universal

Settings: UASTC Level 3

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421632486480SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 318.8729.1639.7573.4320.8051.7718.6625.2833.8023.9741.2460.4025.8820.6917.981. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742816243240SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 46.3511.7116.6833.157.4222.406.389.7314.029.0817.7327.169.997.405.891. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260120180240300SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 345.8089.07129.26262.1454.34176.0445.8473.38109.1767.95137.78214.4475.2754.0441.801. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Etcpak

Configuration: ETC2

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC2EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77424080120160200SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3137.28137.09135.18131.18135.14131.15135.24137.34159.60139.25130.88159.79135.01135.26138.891. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

Etcpak

Configuration: ETC2

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC2EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.73581.47162.20742.94323.6792.002.872.793.272.393.242.002.862.292.913.163.072.022.102.09

Etcpak

Configuration: DXT1

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: DXT1EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230060090012001500SE +/- 1.34, N = 7SE +/- 1.99, N = 7SE +/- 1.74, N = 7SE +/- 1.98, N = 7SE +/- 1.97, N = 7SE +/- 1.94, N = 7SE +/- 2.20, N = 7SE +/- 1.96, N = 7SE +/- 2.05, N = 8SE +/- 1.94, N = 7SE +/- 2.23, N = 7SE +/- 0.24, N = 8SE +/- 2.27, N = 7SE +/- 1.84, N = 7SE +/- 2.22, N = 71019.211018.971007.95976.591008.24978.851007.221022.481179.021035.23975.221179.301006.921008.511035.371. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

Etcpak

Configuration: DXT1

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: DXT1EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774261218243017.0724.4523.7527.4520.4927.1017.0624.2819.8224.7526.3926.6417.3618.2717.79

QuantLib

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77425001000150020002500SE +/- 11.47, N = 3SE +/- 12.22, N = 3SE +/- 10.13, N = 3SE +/- 10.95, N = 3SE +/- 13.45, N = 3SE +/- 12.91, N = 3SE +/- 10.12, N = 3SE +/- 9.97, N = 3SE +/- 10.66, N = 3SE +/- 11.83, N = 3SE +/- 8.78, N = 3SE +/- 13.33, N = 3SE +/- 10.26, N = 3SE +/- 13.12, N = 3SE +/- 11.68, N = 31970.11977.31952.51892.01945.31893.21955.31984.52300.72016.41887.02285.21922.31944.52004.41. (CXX) g++ options: -O3 -march=native -rdynamic

QuantLib

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.21EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742102030405028.0440.4439.6846.0133.7545.4228.4940.2731.9941.0444.4742.4728.3229.8729.52

Swet

Average

OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742150M300M450M600M750MSE +/- 2469610.76, N = 3SE +/- 2164773.96, N = 3SE +/- 3828695.03, N = 3SE +/- 6957648.38, N = 3SE +/- 807930.96, N = 3SE +/- 2920022.24, N = 3SE +/- 5706451.14, N = 3SE +/- 4052005.46, N = 3SE +/- 2209414.80, N = 3SE +/- 8506660.76, N = 3SE +/- 5177314.46, N = 3SE +/- 2325206.90, N = 3SE +/- 1400113.05, N = 3SE +/- 3622759.74, N = 3SE +/- 4045781.60, N = 36024348856000655725985892285618167726056443645811945886022038425973611976851888106122184255718255806863954195826843335920492256065671221. (CC) gcc options: -lm -lpthread -lcurses -lrt

Swet

Average

OpenBenchmarking.orgOperations Per Second Per Watt, More Is BetterSwet 1.5.16AverageEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423M6M9M12M15M9098672.5613079157.0812821906.8014546659.1511032151.7414898341.799228207.3912873172.8710268451.7813255560.1214256393.9213794532.249008595.449610601.369410117.78

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 97.15, N = 5SE +/- 12.89, N = 5SE +/- 9.93, N = 5SE +/- 1.09, N = 5SE +/- 23.00, N = 5SE +/- 5.53, N = 5SE +/- 52.65, N = 5SE +/- 9.32, N = 5SE +/- 7.33, N = 5SE +/- 20.39, N = 5SE +/- 10.65, N = 5SE +/- 2.64, N = 5SE +/- 7.32, N = 5SE +/- 54.62, N = 5SE +/- 117.22, N = 5106421.9542008.1127632.1913398.1080743.8920091.96108892.2256038.7232649.3656066.7926778.6216323.9255254.6681398.29108070.731. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 2018-07-28Test: CPUEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422004006008001000754.73539.88432.15297.08733.57391.60783.68638.23313.31667.05474.66261.75521.63649.06790.51

Sysbench

Test: Memory

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: MemoryEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422M4M6M8M10MSE +/- 11992.02, N = 5SE +/- 6709.34, N = 5SE +/- 780.60, N = 5SE +/- 12382.78, N = 5SE +/- 14871.56, N = 5SE +/- 1918.40, N = 5SE +/- 35042.66, N = 5SE +/- 5458.69, N = 5SE +/- 17904.29, N = 5SE +/- 8561.16, N = 5SE +/- 11575.58, N = 5SE +/- 717.93, N = 5SE +/- 61191.25, N = 15SE +/- 25894.00, N = 5SE +/- 18226.83, N = 56302136.655614019.494502591.455942474.376380400.357232205.306374595.126612746.503087955.636618850.247880986.594656182.264720934.265536026.076334165.631. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

Sysbench

Test: Memory

OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 2018-07-28Test: MemoryEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230K60K90K120K150K62605.7093633.6583787.81141909.1280342.22160055.9166221.01103730.0537471.23105418.49162496.0084636.7657649.4061939.7766461.35

FinanceBench

Benchmark: Bonds OpenMP

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 232.73, N = 3SE +/- 397.99, N = 3SE +/- 461.99, N = 3SE +/- 200.17, N = 3SE +/- 75.52, N = 3SE +/- 203.38, N = 3SE +/- 966.88, N = 3SE +/- 294.03, N = 3SE +/- 395.61, N = 3SE +/- 26.41, N = 3SE +/- 402.31, N = 3SE +/- 185.79, N = 3SE +/- 287.97, N = 3SE +/- 380.43, N = 3SE +/- 152.13, N = 388553.7888634.3189863.2692426.4990310.9092387.2590672.4588487.5776410.1186946.6192896.6276027.9890157.2890409.5987489.381. (CXX) g++ options: -O3 -march=native -fopenmp

FinanceBench

Benchmark: Repo OpenMP

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774211K22K33K44K55KSE +/- 45.54, N = 3SE +/- 17.38, N = 3SE +/- 383.79, N = 3SE +/- 275.73, N = 3SE +/- 241.95, N = 3SE +/- 108.67, N = 3SE +/- 71.36, N = 3SE +/- 71.59, N = 3SE +/- 174.69, N = 3SE +/- 84.26, N = 3SE +/- 109.50, N = 3SE +/- 107.65, N = 3SE +/- 133.22, N = 3SE +/- 6.70, N = 3SE +/- 5.24, N = 351015.8750474.7051629.1053237.6851630.5052936.9851437.7950609.0443527.2850076.2752977.6043548.6351428.8951397.3649870.821. (CXX) g++ options: -O3 -march=native -fopenmp

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422M4M6M8M10MSE +/- 4763.31, N = 3SE +/- 5954.89, N = 3SE +/- 16881.14, N = 3SE +/- 8448.82, N = 3SE +/- 15133.11, N = 3SE +/- 4235.69, N = 3SE +/- 6430.53, N = 3SE +/- 2921.91, N = 3SE +/- 3201.01, N = 3SE +/- 15198.80, N = 3SE +/- 18409.69, N = 3SE +/- 9056.97, N = 3SE +/- 8887.25, N = 3SE +/- 10773.68, N = 3SE +/- 6345.73, N = 36899948688076067876926414609667488165513516753902680430579400476983945654769079398836545211665269669360921. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterCrafty 25.2Elapsed TimeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230K60K90K120K150K99938.47142769.17139072.47158031.23116329.09159454.66100655.93139718.79114628.80144587.96156016.10150336.8497701.58103512.01104169.48

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742300K600K900K1200K1500KSE +/- 658.02, N = 11SE +/- 1181.68, N = 11SE +/- 609.53, N = 11SE +/- 504.67, N = 11SE +/- 587.46, N = 11SE +/- 863.61, N = 11SE +/- 1511.23, N = 11SE +/- 1366.07, N = 11SE +/- 791.31, N = 12SE +/- 372.53, N = 12SE +/- 1355.09, N = 11SE +/- 1531.45, N = 12SE +/- 986.25, N = 11SE +/- 661.25, N = 11SE +/- 584.52, N = 1210158581013320997133969371997461969066997809101434211781401030295968149118068299944299680510280541. (CC) gcc options: -O3 -march=native

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77427K14K21K28K35K19805.3027950.9226682.9430915.0123213.2230478.5719457.2527717.3223615.1228093.4329161.1131397.3920016.6720933.6720309.07

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220M40M60M80M100MSE +/- 597478.91, N = 3SE +/- 304616.08, N = 3SE +/- 332801.18, N = 6SE +/- 150250.14, N = 3SE +/- 82765.80, N = 3SE +/- 71263.56, N = 3SE +/- 1212155.43, N = 4SE +/- 436034.06, N = 15SE +/- 416432.88, N = 3SE +/- 88880.09, N = 3SE +/- 236966.05, N = 10SE +/- 79798.13, N = 3SE +/- 708563.50, N = 4SE +/- 261273.92, N = 3SE +/- 935189.20, N = 15100908453488047323297374916034994823971322431444398847469608646163904341064152929312461371919119958384026835681661085431251. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 12Total TimeEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742120K240K360K480K600K552076.25325661.01271259.26205655.17491891.78246303.77560733.59419124.02179617.03391203.16311552.67162559.29369416.83456939.50541828.86

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774230M60M90M120M150MSE +/- 688813.01, N = 3SE +/- 395352.82, N = 3SE +/- 230890.74, N = 3SE +/- 57670.67, N = 3SE +/- 373542.05, N = 3SE +/- 91373.33, N = 3SE +/- 1202983.30, N = 3SE +/- 375595.74, N = 3SE +/- 491333.28, N = 3SE +/- 394553.31, N = 3SE +/- 215295.19, N = 3SE +/- 83002.90, N = 3SE +/- 939330.26, N = 3SE +/- 355704.27, N = 3SE +/- 113439.47, N = 312284946162581775421122192102779510530457831791813126290077780846844634266582716262415838442467575374422699103932785131041886

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742140K280K420K560K700K630429.66390336.76359777.90282725.36586425.64333068.50665647.19513107.47231626.04473583.96394905.45228242.13437974.87530596.53616306.44

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.03, N = 4SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 4SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 4SE +/- 0.03, N = 413.8428.1942.3887.1916.6158.2213.7522.6335.9221.3743.7471.5823.0516.3012.781. (CXX) g++ options: -fopenmp -O2 -march=native

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774270M140M210M280M350MSE +/- 320354.97, N = 3SE +/- 465752.47, N = 3SE +/- 206566.86, N = 3SE +/- 333820.85, N = 3SE +/- 234513.76, N = 3SE +/- 380619.49, N = 3SE +/- 136985.64, N = 3SE +/- 131222.60, N = 3SE +/- 33906.80, N = 3SE +/- 40543.01, N = 3SE +/- 38644.36, N = 3SE +/- 60046.42, N = 3SE +/- 12833.10, N = 3SE +/- 426281.88, N = 3SE +/- 44137.19, N = 3297478250.43297827555.09292597759.78284332324.15293216264.80284710986.66293169027.15297816529.28346505619.64302406827.18283588722.34346733990.00293437386.11292412973.62302249577.831. (CC) gcc options: -O3 -march=native -lm

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs Per Watt, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.5M3M4.5M6M7.5M4189997.276095028.205937216.366962207.105029503.056892716.304208867.426028009.874710525.856161220.616710210.446400547.894210427.874438176.404374765.04

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742120240360480600SE +/- 1.86, N = 3SE +/- 1.15, N = 3SE +/- 0.67, N = 3SE +/- 1.00, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 349227919296441142504337222359186116328446535MIN: 1 / MAX: 1688MIN: 1 / MAX: 983MIN: 1 / MAX: 672MIN: 1 / MAX: 343MIN: 1 / MAX: 1539MIN: 1 / MAX: 507MIN: 1 / MAX: 1715MIN: 1 / MAX: 1172MIN: 1 / MAX: 779MIN: 1 / MAX: 1250MIN: 1 / MAX: 658MIN: 1 / MAX: 413MIN: 1 / MAX: 1145MIN: 1 / MAX: 1551MIN: 1 / MAX: 1809

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.10482.20963.31444.41925.5244.553.372.501.604.722.164.794.131.804.322.821.353.244.234.91

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742714212835SE +/- 0.03, N = 6SE +/- 0.01, N = 4SE +/- 0.12, N = 6SE +/- 0.00, N = 3SE +/- 0.02, N = 6SE +/- 0.00, N = 3SE +/- 0.04, N = 6SE +/- 0.01, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 5SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 5SE +/- 0.05, N = 6SE +/- 0.02, N = 627.6717.1712.186.5526.139.0329.4120.2514.2421.5511.347.9420.1426.6830.25

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.04730.09460.14190.18920.23650.200.130.110.080.200.100.210.160.070.160.120.060.150.180.21

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742200M400M600M800M1000MSE +/- 507394.80, N = 3SE +/- 643499.89, N = 3SE +/- 405072.19, N = 4SE +/- 295157.17, N = 5SE +/- 989060.38, N = 3SE +/- 252656.85, N = 4SE +/- 229126.62, N = 3SE +/- 998206.04, N = 3SE +/- 3149876.45, N = 4SE +/- 142607.92, N = 3SE +/- 314598.13, N = 3SE +/- 322962.48, N = 6SE +/- 422202.49, N = 3SE +/- 857688.98, N = 3SE +/- 1151151.66, N = 38783753337784594337882668754499164608568934004578553508837352007743048006431809257743294674557606338098445839095326678922488338809985671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77422M4M6M8M10M5138262.517131421.008667240.717366263.785919717.786485573.105265803.496513520.254682548.386697956.105939960.679577991.036228384.625478488.335005100.79

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421020304050SE +/- 0.058701, N = 6SE +/- 0.019214, N = 3SE +/- 0.036573, N = 3SE +/- 0.039126, N = 3SE +/- 0.095577, N = 5SE +/- 0.292336, N = 3SE +/- 0.054901, N = 6SE +/- 0.026648, N = 4SE +/- 0.007758, N = 4SE +/- 0.043495, N = 4SE +/- 0.019691, N = 3SE +/- 0.037928, N = 3SE +/- 0.014397, N = 5SE +/- 0.071740, N = 5SE +/- 0.035543, N = 67.03398216.65375021.95188045.1546008.98853833.8085206.99532114.78157016.13929014.16482028.99392034.58003010.8857608.1766026.6392401. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421530456075SE +/- 0.03, N = 4SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 4SE +/- 0.11, N = 3SE +/- 0.03, N = 4SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.06, N = 411.9425.8934.0366.4215.3549.1111.8023.0325.8822.2341.6952.7918.0613.8711.131. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

Stream

Type: Triad

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream 2013-01-17Type: TriadEPYC 7402PEPYC 7302PEPYC 7232P60012001800240030002788.512743.302060.05

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 7402PEPYC 7302PEPYC 7552EPYC 7272EPYC 7662EPYC 7702EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7532EPYC 7642EPYC 77422K4K6K8K10K4709.56676.42716.78844.12220.72247.03678.85684.63653.97056.03653.62648.52123.11. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lcomex -lm -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

Ngspice

Circuit: C2670

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670EPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7702EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250100150200250SE +/- 2.54, N = 3SE +/- 1.89, N = 3SE +/- 1.59, N = 3SE +/- 1.33, N = 3SE +/- 1.88, N = 4SE +/- 1.93, N = 5SE +/- 2.33, N = 9SE +/- 1.90, N = 3SE +/- 1.23, N = 3SE +/- 1.05, N = 3SE +/- 1.85, N = 3SE +/- 2.10, N = 4SE +/- 2.27, N = 3211.49170.22174.20172.37177.62173.90151.46165.66183.22158.79175.85176.53171.841. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE

Ngspice

Circuit: C7552

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552EPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7702EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250100150200250SE +/- 2.36, N = 3SE +/- 1.35, N = 3SE +/- 1.75, N = 3SE +/- 1.10, N = 3SE +/- 1.19, N = 3SE +/- 1.66, N = 3SE +/- 2.04, N = 12SE +/- 1.31, N = 12SE +/- 1.05, N = 3SE +/- 1.27, N = 12SE +/- 1.09, N = 12SE +/- 4.09, N = 12SE +/- 1.41, N = 3212.89131.53137.59136.87132.62128.92122.44130.09135.68119.44132.04160.82132.941. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7702EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774211K22K33K44K55KSE +/- 50.21, N = 3SE +/- 284.86, N = 11SE +/- 140.41, N = 4SE +/- 392.90, N = 8SE +/- 469.86, N = 3SE +/- 298.29, N = 3SE +/- 165.84, N = 3SE +/- 305.20, N = 6SE +/- 120.35, N = 3SE +/- 117.08, N = 4SE +/- 144.16, N = 3SE +/- 148.55, N = 3SE +/- 614.94, N = 37864378431219844658452922844819521306321524610044284013921549364

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5Mode: CPUEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774260120180240300244.21135.50272.08212.7194.82202.52168.7084.74193.49230.41263.19

GROMACS

Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021Input: water_GMX50_bareEPYC 7272EPYC 7662EPYC 7702EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421.09622.19243.28864.38485.481SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 31.4074.5334.3713.1402.3133.3171.6751.3483.2564.1064.8721. (CXX) g++ options: -O3 -pthread

GROMACS

Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021Input: water_GMX50_bareEPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.00680.01360.02040.02720.0340.030.020.010.020.020.010.020.020.03

JPEG XL

Input: PNG - Encode Speed: 5

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 5EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774220406080100SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 379.5973.8380.0567.2963.5176.1877.7177.341. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

JPEG XL

Input: PNG - Encode Speed: 7

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 7EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77423691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.0210.6910.099.089.789.709.8810.061. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

JPEG XL

Input: PNG - Encode Speed: 8

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 8EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.17780.35560.53340.71120.889SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.690.790.710.660.790.690.690.701. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

JPEG XL

Input: JPEG - Encode Speed: 5

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 5EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421428425670SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 358.5960.2558.6853.8460.5754.9754.7555.741. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

JPEG XL

Input: JPEG - Encode Speed: 7

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 7EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77421326395265SE +/- 0.18, N = 3SE +/- 0.24, N = 4SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 4SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 358.6260.1258.5953.7560.2554.7354.8055.781. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

JPEG XL

Input: JPEG - Encode Speed: 8

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 8EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.03, N = 525.0327.5925.2323.0527.4424.0623.9624.471. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

JPEG XL

Input: PNG - Encode Speed: 5

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 5EPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.26550.5310.79651.0621.32750.711.151.180.870.840.840.81

JPEG XL

Input: PNG - Encode Speed: 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 7EPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.04050.0810.12150.1620.20250.120.170.180.150.120.130.13

JPEG XL

Input: PNG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 8EPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.00230.00460.00690.00920.01150.010.010.010.010.010.010.01

JPEG XL

Input: JPEG - Encode Speed: 5

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 5EPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.2610.5220.7831.0441.3050.731.111.161.020.740.780.77

JPEG XL

Input: JPEG - Encode Speed: 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 7EPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.26550.5310.79651.0621.32750.751.121.181.040.760.800.78

JPEG XL

Input: JPEG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 8EPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.12380.24760.37140.49520.6190.370.540.550.530.360.380.37

JPEG XL Decoding

CPU Threads: 1

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: 1EPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 7742918273645SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 337.9434.2232.1638.4232.6932.7633.15

JPEG XL Decoding

CPU Threads: All

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: AllEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 774250100150200250SE +/- 0.29, N = 3SE +/- 0.90, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.41, N = 3SE +/- 0.42, N = 3SE +/- 0.19, N = 3207.63188.06197.76183.95171.73136.31145.07

JPEG XL Decoding

CPU Threads: 1

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: 1EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.16650.3330.49950.6660.83250.680.740.690.470.490.48

JPEG XL Decoding

CPU Threads: All

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: AllEPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77420.6751.352.0252.73.3752.343.002.171.651.291.35

Stream-Dynamic

- Copy

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- CopyEPYC 7542EPYC 7282EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 16.48, N = 3SE +/- 10.71, N = 3SE +/- 15.65, N = 3SE +/- 35.22, N = 3SE +/- 32.55, N = 382081.4353581.2794075.6793594.6193965.381. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

Stream-Dynamic

- Scale

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- ScaleEPYC 7542EPYC 7282EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 12.91, N = 3SE +/- 11.66, N = 3SE +/- 25.57, N = 3SE +/- 32.33, N = 3SE +/- 28.79, N = 381529.0653610.3592368.4192049.4892337.611. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

Stream-Dynamic

- Add

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- AddEPYC 7542EPYC 7282EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 6.47, N = 3SE +/- 10.53, N = 3SE +/- 8.82, N = 3SE +/- 40.00, N = 3SE +/- 34.53, N = 390238.6357323.38103789.99103556.13103818.191. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

Stream-Dynamic

- Triad

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- TriadEPYC 7542EPYC 7282EPYC 7532EPYC 7642EPYC 774220K40K60K80K100KSE +/- 9.40, N = 3SE +/- 9.56, N = 3SE +/- 22.34, N = 3SE +/- 46.49, N = 3SE +/- 22.26, N = 390450.7257372.73104119.16103873.44104095.681. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

Stream-Dynamic

- Triad

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream-Dynamic 1.0- TriadEPYC 7282EPYC 7532EPYC 7642EPYC 77422004006008001000881.01951.09967.98957.36

toyBrot Fractal Generator

Implementation: TBB

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBBEPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429K18K27K36K45KSE +/- 162.21, N = 3SE +/- 233.59, N = 3SE +/- 60.14, N = 4SE +/- 87.69, N = 5SE +/- 56.97, N = 6254114160613556972375171. (CXX) g++ options: -O3 -lpthread

toyBrot Fractal Generator

Implementation: OpenMP

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMPEPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429K18K27K36K45KSE +/- 4.48, N = 3SE +/- 1.20, N = 3SE +/- 17.05, N = 4SE +/- 11.42, N = 5SE +/- 8.17, N = 6253884142213926989279911. (CXX) g++ options: -O3 -lpthread

toyBrot Fractal Generator

Implementation: C++ Tasks

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ TasksEPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429K18K27K36K45KSE +/- 97.58, N = 3SE +/- 11.72, N = 3SE +/- 28.15, N = 4SE +/- 24.48, N = 5SE +/- 46.30, N = 6256834167913798983978801. (CXX) g++ options: -O3 -lpthread

toyBrot Fractal Generator

Implementation: C++ Threads

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ ThreadsEPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 77429K18K27K36K45KSE +/- 18.66, N = 3SE +/- 8.41, N = 3SE +/- 29.85, N = 4SE +/- 10.01, N = 5SE +/- 10.89, N = 6254264157313619965275731. (CXX) g++ options: -O3 -lpthread


Phoronix Test Suite v10.8.4