EPYC 2021 Benchmarks

Tests for a future article.

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

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 Benchmarkscompress-7zip: Compress Speed Testmt-dgemm: Sustained Floating-Point Rateai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoreaircrack-ng: amg: cassandra: Writescouchdb: 100 - 1000 - 24appleseed: Emilyappleseed: Disney Materialaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingasmfish: 1024 Hash Memory, 26 Depthastcenc: Thoroughastcenc: Exhaustivebasis: UASTC Level 2basis: UASTC Level 3blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblogbench: Readbotan: AES-256botan: Blowfishbotan: CAST-256botan: KASUMIbotan: Twofishbrl-cad: VGR Performance Metricbuild2: Time To Compileblosc: blosclzc-ray: Total Time - 4K, 16 Rays Per Pixelcaffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 200v-ray: CPUv-ray: CPUcloverleaf: Lagrangian-Eulerian Hydrodynamicscoremark: CoreMark Size 666 - Iterations Per Secondcpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Deepcoincpuminer-opt: Skeincoincrafty: Elapsed Timecryptopp: Unkeyed Algorithmscryptopp: Keyed Algorithmscryptopp: Integer + Elliptic Curve Public Key Algorithmsctx-clock: Context Switch Timedaphne: OpenMP - Euclidean Clusterdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagedav1d: Summer Nature 1080pdav1d: Summer Nature 4Kdav1d: Chimera 1080pdav1d: Chimera 1080p 10-bitebizzy: espeak: Text-To-Speech Synthesisetcpak: ETC2etcpak: DXT1rocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingffte: N=256, 3D Complex FFT Routinefinancebench: Bonds OpenMPfinancebench: Repo OpenMPsynthmark: VoiceMark_100gpaw: Carbon Nanotubegromacs: Water Benchmarkgromacs: water_GMX50_barehint: FLOAThpcg: himeno: Poisson Pressure Solverhugin: Panorama Photo Assistant + Stitching Timeincompact3d: Cylinderindigobench: CPU - Supercarindigobench: CPU - Bedroominfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000oidn: Memorialjohn-the-ripper: MD5john-the-ripper: Blowfishjpegxl: PNG - 5jpegxl: PNG - 7jpegxl: PNG - 8jpegxl: JPEG - 5jpegxl: JPEG - 7jpegxl: JPEG - 8jpegxl-decode: 1jpegxl-decode: Allkeydb: kripke: kvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastlammps: Rhodopsin Proteinlammps: 20k Atomslczero: BLASlczero: Eigenlibraw: Post-Processing Benchmarklulesh: luxcorerender: DLSCluxcorerender: Rainbow Colors and Prismcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedm-queens: Time To Solvembw: Memory Copy - 8192 MiBminife: Smallmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0montage: Mosaic of M17, K band, 1.5 deg x 1.5 degmocassin: Dust 2D tau100.0namd: ATPase Simulation - 327,506 Atomsnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cngspice: C2670ngspice: C7552numenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylinenumpy: nwchem: C240 Buckyballocrmypdf: Processing 60 Page PDF Documentonednn: 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 CPUopenfoam: Motorbike 30Mopenfoam: Motorbike 60Mopenvino: 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 - CPUopenvkl: vklBenchmarkospray: Magnetic Reconnection - SciVisospray: XFrog Forest - SciVisospray: XFrog Forest - Path Tracerospray: NASA Streamlines - SciVisospray: NASA Streamlines - Path Tracerospray: San Miguel - SciVisospray: San Miguel - Path Tracerparboil: OpenMP LBMpennant: leblancbigpennant: sedovbigperl-benchmark: Pod2htmlperl-benchmark: Interpreterphpbench: PHP Benchmark Suiteplaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - VGG19 - CPUpgbench: 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 Latencypovray: Trace Timepybench: Total For Average Test Timespyperformance: crypto_pyaespyperformance: django_templatepyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: regex_compilequantlib: qe: AUSURF112rawtherapee: Total Benchmark Timerays1bench: Large Sceneredis: SETredis: GETrodinia: OpenMP CFD Solverrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP Streamclustersimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDstockfish: Total Timestream: Copystream: Scalestream: Addstream: Triadstream-dynamic: - Copystream-dynamic: - Scalestream-dynamic: - Addstream-dynamic: - Triadstress-ng: CPU Stressstress-ng: Cryptostress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Socket Activitystress-ng: Context Switchingstress-ng: CPU Cachesvt-av1: Enc Mode 8 - 1080psvt-av1: Enc Mode 4 - 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pswet: Averagesysbench: CPUsysbench: Memorytachyon: Total Timetensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: NASNet Mobiletensorflow-lite: SqueezeNettensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4build-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild-imagemagick: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Time To Compilebuild-mplayer: Time To Compilemrbayes: Primate Phylogeny Analysisbuild-php: Time To Compiletinymembench: Standard Memsettoybrot: TBBtoybrot: OpenMPtoybrot: C++ Taskstoybrot: C++ Threadstscp: AI Chess Performancetungsten: Hairtungsten: Water Causticwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5x264: H.264 Video Encodingx265: Bosphorus 4Kcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9yafaray: Total Time For Sample Scenecompress-zstd: 3compress-zstd: 19EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642EPYC 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7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60K120K180K240K300KSE +/- 1266.96, N = 3SE +/- 419.38, N = 3SE +/- 226.28, N = 3SE +/- 370.12, N = 3SE +/- 453.51, N = 3SE +/- 190.42, N = 3SE +/- 249.88, N = 3SE +/- 894.75, N = 3SE +/- 315.33, N = 3SE +/- 558.99, N = 3SE +/- 192.03, N = 3SE +/- 313.91, N = 3SE +/- 108.98, N = 3SE +/- 288.04, N = 3SE +/- 84.48, N = 327965627014026490823406222974717614817136217124213857510906995137905886965556955459411. (CXX) g++ options: -pipe -lpthread

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F324008001200160020001860.211784.051772.211667.351524.061397.091318.891207.721091.491034.12969.68872.02710.08654.08601.78

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7502PEPYC 7542EPYC 7402PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.099835, N = 4SE +/- 0.190487, N = 4SE +/- 0.163720, N = 4SE +/- 0.030087, N = 3SE +/- 0.083534, N = 3SE +/- 0.072162, N = 3SE +/- 0.066319, N = 3SE +/- 0.091101, N = 3SE +/- 0.025438, N = 3SE +/- 0.017716, N = 3SE +/- 0.028662, N = 3SE +/- 0.037637, N = 3SE +/- 0.008716, N = 3SE +/- 0.039059, N = 3SE +/- 0.010754, N = 316.88116816.29885215.61481213.94246512.7350319.8288719.3269098.8633367.2082354.9637154.8976534.4524193.4640033.0115951.5837041. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7272EPYC 7302PEPYC 7F32EPYC 7F52EPYC 7232P0.02480.04960.07440.09920.1240.110.110.110.100.080.070.070.060.060.050.050.050.030.030.02

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreEPYC 7642EPYC 7662EPYC 7542EPYC 7742EPYC 7552EPYC 7532EPYC 7502PEPYC 7702EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P5001000150020002500212521222107206920492043202219651926166015381456137213011112

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreEPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7302PEPYC 7642EPYC 7282EPYC 7552EPYC 7272EPYC 7662EPYC 7742EPYC 7F32EPYC 7F52EPYC 7702EPYC 7232P30060090012001500154615341488147514591403138413481307121911791173115911241094

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7542EPYC 7642EPYC 7532EPYC 7502PEPYC 7402PEPYC 7552EPYC 7662EPYC 7742EPYC 7302PEPYC 7702EPYC 7282EPYC 7272EPYC 7F52EPYC 7F32EPYC 7232P8001600240032004000364135283518351034723397334132483119308929222679261524742206

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore Per Watt, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7282EPYC 7502PEPYC 7542EPYC 7272EPYC 7402PEPYC 7302PEPYC 7552EPYC 7232PEPYC 7642EPYC 7532EPYC 7662EPYC 7742EPYC 7702EPYC 7F32EPYC 7F5281624324035.4533.5633.4932.9032.5332.2331.2029.2127.6827.6227.2726.9326.2821.3217.20

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P30K60K90K120K150KSE +/- 39.30, N = 3SE +/- 32.87, N = 3SE +/- 31.81, N = 3SE +/- 45.55, N = 3SE +/- 87.07, N = 3SE +/- 28.55, N = 3SE +/- 15.49, N = 3SE +/- 7.45, N = 3SE +/- 16.32, N = 3SE +/- 28.27, N = 3SE +/- 34.38, N = 3SE +/- 30.64, N = 3SE +/- 28.65, N = 3SE +/- 28.30, N = 3SE +/- 6.91, N = 3155994.03143292.79143169.12120520.68119683.6594237.6587391.7985303.3571372.7956973.8548284.8346017.2035086.9528528.3423406.401. (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 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F322004006008001000819.37800.29798.57725.65669.52628.13584.98551.30481.81473.01426.14387.56334.92275.97262.96

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7532EPYC 7642EPYC 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7272EPYC 7282EPYC 7232P200M400M600M800M1000MSE +/- 422202.49, N = 3SE +/- 857688.98, N = 3SE +/- 229126.62, N = 3SE +/- 1151151.66, N = 3SE +/- 507394.80, N = 3SE +/- 989060.38, N = 3SE +/- 322962.48, N = 6SE +/- 405072.19, N = 4SE +/- 643499.89, N = 3SE +/- 142607.92, N = 3SE +/- 998206.04, N = 3SE +/- 3149876.45, N = 4SE +/- 252656.85, N = 4SE +/- 314598.13, N = 3SE +/- 295157.17, N = 59095326678922488338837352008809985678783753338568934008098445837882668757784594337743294677743048006431809254578553504557606334499164601. (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 7F32EPYC 7302PEPYC 7232PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7272EPYC 7532EPYC 7282EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7742EPYC 7F522M4M6M8M10M9577991.038667240.717366263.787131421.006697956.106513520.256485573.106228384.625939960.675919717.785478488.335265803.495138262.515005100.794682548.38

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7542EPYC 7502PEPYC 7552EPYC 7702EPYC 7662EPYC 7642EPYC 7742EPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P50K100K150K200K250KSE +/- 2207.46, N = 15SE +/- 2790.65, N = 3SE +/- 1126.54, N = 3SE +/- 1230.73, N = 3SE +/- 2776.27, N = 3SE +/- 1690.31, N = 3SE +/- 910.59, N = 3SE +/- 2221.55, N = 3SE +/- 2693.44, N = 3SE +/- 1803.14, N = 3SE +/- 936.51, N = 3SE +/- 1793.27, N = 3SE +/- 388.59, N = 3SE +/- 224.51, N = 3SE +/- 244.34, N = 3236524233730230871227564219380215576215196211361200705144123136442135260931555811851734

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7542EPYC 7502PEPYC 7552EPYC 7402PEPYC 7282EPYC 7702EPYC 7662EPYC 7642EPYC 7742EPYC 7532EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F324008001200160020002007.981934.281765.841745.181607.351563.401537.851507.251503.961502.631456.941222.04945.02837.71654.20

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24EPYC 7F52EPYC 7502PEPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7532EPYC 7642EPYC 7272EPYC 7552EPYC 7F32EPYC 7742EPYC 7662EPYC 7702EPYC 7232P20406080100SE +/- 0.45, N = 3SE +/- 1.14, N = 3SE +/- 0.45, N = 3SE +/- 0.52, N = 3SE +/- 0.89, N = 3SE +/- 0.51, N = 3SE +/- 0.64, N = 3SE +/- 0.03, N = 3SE +/- 1.02, N = 4SE +/- 0.35, N = 3SE +/- 0.48, N = 3SE +/- 0.42, N = 3SE +/- 0.34, N = 3SE +/- 0.55, N = 3SE +/- 0.41, N = 383.2886.2386.5786.6887.9489.4391.3291.5192.3592.5993.7997.2397.3097.95107.011. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Appleseed

Scene: Emily

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyEPYC 7742EPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P110220330440550146.84153.46153.98154.44154.73161.64170.48172.91194.53226.80260.98275.81333.25381.37487.37

Appleseed

Scene: Disney Material

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P6012018024030061.6867.3367.7470.4973.3381.8387.5189.01105.69118.48149.34151.86195.08225.09265.54

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 7742EPYC 7642EPYC 7662EPYC 7702EPYC 7532EPYC 7552EPYC 7F52EPYC 7402PEPYC 7502PEPYC 7542EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5K10K15K20K25KSE +/- 145.73, N = 3SE +/- 197.00, N = 3SE +/- 121.22, N = 3SE +/- 112.07, N = 3SE +/- 215.40, N = 3SE +/- 61.33, N = 3SE +/- 118.03, N = 3SE +/- 63.07, N = 3SE +/- 137.10, N = 3SE +/- 162.55, N = 3SE +/- 68.60, N = 3SE +/- 74.25, N = 4SE +/- 27.68, N = 3SE +/- 48.79, N = 9SE +/- 28.76, N = 321495.2021472.3020993.1020185.5018311.7016990.1013692.3012173.7012067.3011976.9010427.206907.546587.576100.183350.221. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7642EPYC 7742EPYC 7662EPYC 7532EPYC 7702EPYC 7552EPYC 7F52EPYC 7402PEPYC 7542EPYC 7502PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5K10K15K20K25KSE +/- 111.87, N = 3SE +/- 108.20, N = 2SE +/- 233.09, N = 3SE +/- 197.85, N = 2SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 82.20, N = 3SE +/- 136.29, N = 3SE +/- 101.60, N = 3SE +/- 0.00, N = 3SE +/- 66.13, N = 4SE +/- 69.42, N = 3SE +/- 54.85, N = 9SE +/- 50.92, N = 323040.7021311.9020991.7020585.3020382.2017300.8016399.7013892.5012699.5012698.2012204.408265.997358.197130.893879.101. (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 7642EPYC 7532EPYC 7302PEPYC 7402PEPYC 7662EPYC 7742EPYC 7552EPYC 7F52EPYC 7702EPYC 7542EPYC 7502PEPYC 7272EPYC 7F32EPYC 7282EPYC 7232P306090120150139.29137.34132.05123.63123.10120.45117.11117.06116.25105.62104.1597.1593.7492.7762.30

ASKAP

Test: tConvolve OpenMP - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingEPYC 7662EPYC 7702EPYC 7642EPYC 7742EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232PEPYC 7F522K4K6K8K10KSE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 81.97, N = 4SE +/- 211.93, N = 15SE +/- 77.48, N = 4SE +/- 63.04, N = 4SE +/- 67.99, N = 4SE +/- 79.54, N = 4SE +/- 72.46, N = 4SE +/- 57.68, N = 5SE +/- 0.00, N = 4SE +/- 35.30, N = 4SE +/- 17.38, N = 4SE +/- 7.61, N = 4SE +/- 0.00, N = 49509.149509.149427.179177.928454.708257.476658.486617.906379.885503.594294.454035.114004.082840.132113.141. (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 7662EPYC 7742EPYC 7642EPYC 7532EPYC 7552EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232PEPYC 7F5215003000450060007500SE +/- 47.34, N = 4SE +/- 42.67, N = 4SE +/- 22.42, N = 15SE +/- 40.59, N = 4SE +/- 38.66, N = 4SE +/- 36.86, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 35.55, N = 4SE +/- 37.73, N = 3SE +/- 30.11, N = 2SE +/- 10.27, N = 4SE +/- 10.02, N = 4SE +/- 6.46, N = 4SE +/- 3.57, N = 47148.776699.076679.716615.816455.406302.575788.175788.175726.605509.304004.083317.933257.042616.811406.931. (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 7402PEPYC 7502PEPYC 7542EPYC 7302PEPYC 7552EPYC 7702EPYC 7642EPYC 7742EPYC 7662EPYC 7532EPYC 7282EPYC 7272EPYC 7F32EPYC 7232PEPYC 7F5220406080100109.78108.49108.46103.76100.0596.8693.6393.0692.7889.4472.9172.5370.1958.9717.31

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P30M60M90M120M150MSE +/- 113439.47, N = 3SE +/- 1202983.30, N = 3SE +/- 688813.01, N = 3SE +/- 373542.05, N = 3SE +/- 355704.27, N = 3SE +/- 394553.31, N = 3SE +/- 375595.74, N = 3SE +/- 939330.26, N = 3SE +/- 395352.82, N = 3SE +/- 491333.28, N = 3SE +/- 230890.74, N = 3SE +/- 215295.19, N = 3SE +/- 91373.33, N = 3SE +/- 83002.90, N = 3SE +/- 57670.67, N = 313104188612629007712284946110530457810393278582716262780846847442269962581775463426654211221941583844317918132467575321027795

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32140K280K420K560K700K665647.19630429.66616306.44586425.64530596.53513107.47473583.96437974.87394905.45390336.76359777.90333068.50282725.36231626.04228242.13

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P816243240SE +/- 0.01, N = 4SE +/- 0.00, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, 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 = 35.896.356.387.407.429.089.739.9911.7114.0216.6817.7322.4027.1633.151. (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 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60120180240300SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 341.8045.8045.8454.0454.3467.9573.3875.2789.07109.17129.26137.78176.04214.44262.141. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2EPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P918273645SE +/- 0.02, N = 4SE +/- 0.00, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 312.8413.2113.3014.1914.2415.6416.3116.7018.1719.8623.3424.2429.2432.6339.671. (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 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1632486480SE +/- 0.03, N = 3SE +/- 0.00, 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 = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.9818.6618.8720.6920.8023.9725.2825.8829.1633.8039.7541.2451.7760.4073.431. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P4080120160200SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 3SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.37, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.27, N = 3SE +/- 0.95, N = 3SE +/- 0.34, N = 3SE +/- 0.34, N = 3SE +/- 0.25, N = 3SE +/- 1.01, N = 336.6040.0740.3345.7846.5955.3260.7561.2569.8483.45102.29108.34136.20156.31198.45

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P120240360480600SE +/- 0.23, N = 3SE +/- 0.25, N = 3SE +/- 0.41, N = 3SE +/- 0.77, N = 3SE +/- 0.69, N = 3SE +/- 0.41, N = 3SE +/- 0.20, N = 3SE +/- 1.09, N = 3SE +/- 0.04, N = 3SE +/- 0.74, N = 3SE +/- 0.64, N = 3SE +/- 0.83, N = 3SE +/- 0.31, N = 3SE +/- 0.25, N = 3SE +/- 0.21, N = 391.67101.68103.55121.21122.03148.50162.29168.40196.70237.79287.81304.34387.23454.49558.87

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60120180240300SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.30, N = 3SE +/- 0.46, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.81, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 351.4055.4055.8261.9362.7272.2778.0178.9491.81108.40129.81139.46177.65207.12267.24

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P140280420560700SE +/- 0.24, N = 3SE +/- 0.39, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.92, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.33, N = 3SE +/- 1.69, N = 3SE +/- 0.98, N = 3SE +/- 0.50, N = 3SE +/- 1.19, N = 3SE +/- 0.64, N = 3SE +/- 0.51, N = 3SE +/- 0.72, N = 3107.79118.26119.17137.83139.21167.99182.76189.09219.75265.13317.27338.52426.59508.26664.29

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P2004006008001000SE +/- 0.22, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.31, N = 3SE +/- 0.07, N = 3SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.35, N = 3SE +/- 0.69, N = 3SE +/- 0.25, N = 3SE +/- 0.65, N = 3SE +/- 1.20, N = 3SE +/- 0.11, N = 3SE +/- 0.62, N = 3143.94154.23154.42179.18180.94223.08237.65243.58291.52356.90411.56432.92554.64683.81866.85

BlogBench

Test: Read

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadEPYC 7282EPYC 7272EPYC 7402PEPYC 7502PEPYC 7232PEPYC 7542EPYC 7302PEPYC 7F32EPYC 7552EPYC 7F52EPYC 7532EPYC 7642EPYC 7662EPYC 7742EPYC 7702400K800K1200K1600K2000KSE +/- 12175.94, N = 3SE +/- 20232.46, N = 3SE +/- 7805.03, N = 3SE +/- 7760.40, N = 3SE +/- 16960.13, N = 3SE +/- 7106.01, N = 3SE +/- 7235.14, N = 3SE +/- 14389.61, N = 3SE +/- 4883.16, N = 3SE +/- 13461.20, N = 3SE +/- 13194.50, N = 3SE +/- 14031.09, N = 3SE +/- 9874.65, N = 3SE +/- 16576.40, N = 3SE +/- 10548.76, N = 32043037202318019596151950080194449619233681898428177203717716241676516163609215833501397475137315713729551. (CC) gcc options: -O2 -pthread

BlogBench

Test: Read

OpenBenchmarking.orgFinal Score Per Watt, More Is BetterBlogBench 1.1Test: ReadEPYC 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F32EPYC 7552EPYC 7532EPYC 7F52EPYC 7642EPYC 7662EPYC 7742EPYC 77026K12K18K24K30K29655.3828304.9827647.8422851.8121034.0720274.6220067.1419861.2115592.3614192.8612966.2912835.0310885.3710813.3610196.91

Botan

Test: AES-256

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256EPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7702EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7532EPYC 7662EPYC 7642EPYC 7552EPYC 7232PEPYC 7282EPYC 727211002200330044005500SE +/- 1.69, N = 3SE +/- 1.30, N = 3SE +/- 2.98, N = 3SE +/- 2.46, N = 3SE +/- 1.00, N = 3SE +/- 3.31, N = 3SE +/- 0.83, N = 3SE +/- 0.26, N = 3SE +/- 1.33, N = 3SE +/- 0.85, N = 3SE +/- 3.58, N = 3SE +/- 3.88, N = 3SE +/- 13.87, N = 3SE +/- 0.80, N = 3SE +/- 7.02, N = 35238.765226.754561.194549.534499.504497.774487.904430.724429.474429.194425.924421.414311.064293.874290.851. (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 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7662EPYC 770220406080100109.56108.21105.14101.5097.5796.3695.1294.0879.8676.1170.2869.9467.5767.1766.83

Botan

Test: Blowfish

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7702EPYC 7502PEPYC 7402PEPYC 7552EPYC 7532EPYC 7662EPYC 7302PEPYC 7642EPYC 7232PEPYC 7272EPYC 728290180270360450SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.40, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.25, N = 3429.41429.14374.52374.20368.93368.69368.38363.50363.10362.99362.20361.80352.29352.07351.141. (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 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7662EPYC 770236912158.968.888.628.258.017.927.857.706.506.215.835.725.525.515.49

Botan

Test: CAST-256

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7502PEPYC 7702EPYC 7402PEPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7302PEPYC 7272EPYC 7232PEPYC 7282306090120150SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3139.83139.71121.92121.71120.06120.00119.99118.32118.29118.23117.99117.88114.69114.59114.471. (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 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7702EPYC 76620.6751.352.0252.73.3753.002.982.882.832.672.652.612.562.162.091.931.901.831.831.82

Botan

Test: KASUMI

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7702EPYC 7502PEPYC 7402PEPYC 7552EPYC 7662EPYC 7532EPYC 7302PEPYC 7642EPYC 7232PEPYC 7272EPYC 728220406080100SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 390.4690.4278.8878.8677.7077.6977.5776.5876.5576.5376.5176.2274.2774.2174.061. (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 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7662EPYC 77020.43650.8731.30951.7462.18251.941.921.861.821.731.701.691.661.401.331.251.231.181.181.18

Botan

Test: Twofish

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7502PEPYC 7702EPYC 7402PEPYC 7662EPYC 7532EPYC 7302PEPYC 7552EPYC 7642EPYC 7232PEPYC 7272EPYC 728280160240320400SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.37, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3351.99351.63306.62306.48302.25302.14302.12297.81297.71297.65297.10296.91288.70288.62287.931. (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 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7662EPYC 77022468107.377.307.116.826.606.506.426.285.415.104.774.684.574.534.50

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P150K300K450K600K750K7021666600796526025417755405584120763877923786603176612325072190552081501553471206221060731. (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 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3270014002100280035003432.533376.223261.533002.442741.492544.942326.852248.891999.851994.011704.371489.501298.73996.10968.19

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P306090120150SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.30, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 3SE +/- 0.29, N = 366.2567.9768.2969.4369.8671.4674.2074.4875.8576.6587.6694.35105.71113.26145.44

C-Blosc

Compressor: blosclz

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7F32EPYC 7F52EPYC 7302PEPYC 7532EPYC 7402PEPYC 7542EPYC 7502PEPYC 7272EPYC 7282EPYC 7232PEPYC 7642EPYC 7552EPYC 7702EPYC 7742EPYC 76622K4K6K8K10KSE +/- 15.51, N = 3SE +/- 27.57, N = 3SE +/- 5.79, N = 3SE +/- 8.53, N = 3SE +/- 4.79, N = 3SE +/- 0.44, N = 3SE +/- 6.00, N = 3SE +/- 6.54, N = 3SE +/- 21.69, N = 3SE +/- 13.17, N = 3SE +/- 9.12, N = 3SE +/- 22.60, N = 3SE +/- 20.77, N = 3SE +/- 17.64, N = 3SE +/- 18.47, N = 311206.810910.110476.810253.310178.39878.09808.09442.99400.79386.89301.09155.08372.78355.98328.21. (CXX) g++ options: -rdynamic

C-Blosc

Compressor: blosclz

OpenBenchmarking.orgMB/s Per Watt, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7232PEPYC 7272EPYC 7F32EPYC 7282EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7742EPYC 77024080120160200182.90173.90165.32165.18160.12145.89138.76135.67109.47106.55104.3793.8883.2180.8677.37

C-Ray

Total Time - 4K, 16 Rays Per Pixel

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 311.9012.8212.8515.0415.2119.5520.9121.4325.6832.5838.4939.6652.8164.9779.171. (CC) gcc options: -lm -lpthread -O3

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7742EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7272EPYC 7282EPYC 7542EPYC 7502PEPYC 7552EPYC 7532EPYC 764240K80K120K160K200KSE +/- 204.77, N = 3SE +/- 146.69, N = 3SE +/- 182.06, N = 3SE +/- 101.93, N = 3SE +/- 1333.26, N = 3SE +/- 139.37, N = 3SE +/- 37.21, N = 3SE +/- 92.46, N = 3SE +/- 272.29, N = 3SE +/- 76.96, N = 3SE +/- 120.93, N = 3SE +/- 187.42, N = 3SE +/- 1549.72, N = 7SE +/- 106.86, N = 3SE +/- 114.49, N = 31237711276991289651405581513271515591525391546931548711557631625441687281718851725081738121. (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 7742EPYC 7F32EPYC 7662EPYC 7702EPYC 7232PEPYC 7272EPYC 7F52EPYC 7302PEPYC 7282EPYC 7402PEPYC 7552EPYC 7542EPYC 7502PEPYC 7642EPYC 753290K180K270K360K450KSE +/- 198.26, N = 3SE +/- 95.91, N = 3SE +/- 1226.45, N = 3SE +/- 730.51, N = 3SE +/- 533.40, N = 3SE +/- 226.68, N = 3SE +/- 1699.46, N = 3SE +/- 60.14, N = 3SE +/- 456.29, N = 3SE +/- 338.07, N = 3SE +/- 18239.03, N = 9SE +/- 147.16, N = 3SE +/- 440.86, N = 3SE +/- 10886.13, N = 9SE +/- 422.64, N = 33326283401683456263474843690273783673820203871733886993910153996104116814279674298754419781. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P14K28K42K56K70KSE +/- 500.73, N = 3SE +/- 487.40, N = 3SE +/- 467.21, N = 3SE +/- 179.29, N = 3SE +/- 328.54, N = 3SE +/- 391.02, N = 6SE +/- 264.62, N = 15SE +/- 397.54, N = 5SE +/- 87.62, N = 3SE +/- 71.92, N = 3SE +/- 114.11, N = 3SE +/- 122.98, N = 3SE +/- 80.88, N = 3SE +/- 31.21, N = 3SE +/- 44.44, N = 3666396275462295544455357038904370853622333184271322348622022175501420411136

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples Per Watt, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3280160240320400364.02353.18342.54328.86306.53275.92257.36243.18235.77233.63202.24185.79152.41127.66124.47

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P11K22K33K44K55KSE +/- 614.94, N = 3SE +/- 469.86, N = 3SE +/- 392.90, N = 8SE +/- 148.55, N = 3SE +/- 284.86, N = 11SE +/- 305.20, N = 6SE +/- 298.29, N = 3SE +/- 144.16, N = 3SE +/- 165.84, N = 3SE +/- 120.35, N = 3SE +/- 140.41, N = 4SE +/- 117.08, N = 4SE +/- 50.21, N = 34936445292446583921537843306322844828401195211524612198100447864

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5Mode: CPUEPYC 7662EPYC 7742EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7282EPYC 7272EPYC 7F52EPYC 7F3260120180240300272.08263.19244.21230.41212.71202.52193.49168.70135.5094.8284.74

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsEPYC 7642EPYC 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P1632486480SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.12, N = 15SE +/- 0.05, N = 4SE +/- 0.02, N = 4SE +/- 0.07, N = 4SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 313.6614.0314.4014.7015.2815.2918.6119.0720.3522.8325.2136.8045.4648.2969.911. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P400K800K1200K1600K2000KSE +/- 1593.22, N = 3SE +/- 473.83, N = 3SE +/- 1046.01, N = 3SE +/- 8320.13, N = 3SE +/- 10873.39, N = 3SE +/- 1150.50, N = 3SE +/- 609.31, N = 3SE +/- 707.15, N = 3SE +/- 1542.09, N = 3SE +/- 1470.27, N = 3SE +/- 1815.81, N = 3SE +/- 538.09, N = 3SE +/- 270.65, N = 3SE +/- 818.34, N = 3SE +/- 102.44, N = 31985242.501867023.461845888.801550727.151530338.791203386.721147733.951123555.30902070.15716393.88603381.33586659.10440879.64356570.41293387.401. (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 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F323K6K9K12K15K11942.5511713.9711585.5110306.409244.968528.238324.837324.676564.906395.915810.655295.214345.653863.563489.81

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P30060090012001500SE +/- 19.88, N = 3SE +/- 32.30, N = 15SE +/- 29.63, N = 14SE +/- 1.46, N = 3SE +/- 11.98, N = 15SE +/- 2.23, N = 3SE +/- 37.08, N = 15SE +/- 39.35, N = 15SE +/- 0.86, N = 3SE +/- 1.25, N = 3SE +/- 0.74, N = 3SE +/- 1.04, N = 3SE +/- 0.69, N = 3SE +/- 1.31, N = 3SE +/- 1.33, N = 31429.251398.771360.061147.361139.38891.02883.87862.81807.02524.31447.01429.51322.83262.90216.581. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32369121510.279.959.948.887.807.537.257.075.884.954.463.883.242.992.72

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P2K4K6K8K10KSE +/- 106.13, N = 14SE +/- 215.48, N = 14SE +/- 72.85, N = 13SE +/- 113.98, N = 14SE +/- 49.30, N = 3SE +/- 157.39, N = 15SE +/- 179.55, N = 12SE +/- 135.96, N = 15SE +/- 8.85, N = 3SE +/- 3.02, N = 3SE +/- 46.80, N = 15SE +/- 6.92, N = 3SE +/- 22.88, N = 15SE +/- 8.24, N = 3SE +/- 24.63, N = 1510194.009581.069507.957961.647811.996242.216104.275725.794490.863522.442991.732965.292192.821769.461473.311. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7642EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F32306090120150111.72105.24101.8597.5789.0688.0386.4863.1762.9152.4645.5841.6633.5531.4027.22

Cpuminer-Opt

Algorithm: Deepcoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P10K20K30K40K50KSE +/- 1097.21, N = 15SE +/- 2134.76, N = 15SE +/- 1295.28, N = 15SE +/- 1521.20, N = 15SE +/- 964.94, N = 15SE +/- 1900.37, N = 15SE +/- 991.42, N = 15SE +/- 38.44, N = 3SE +/- 94.04, N = 3SE +/- 333.56, N = 15SE +/- 407.34, N = 15SE +/- 14.53, N = 3SE +/- 78.72, N = 3SE +/- 73.09, N = 6SE +/- 0.23, N = 348794.0046113.0045051.0034363.0033589.0026546.0026493.0023013.0019363.0015338.0012793.0012697.009361.067644.106207.891. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7642EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F32130260390520650610.96565.67562.57474.77441.39438.65432.56318.51286.60255.88224.80201.02175.98140.99128.88

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinEPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P140K280K420K560K700KSE +/- 5351.86, N = 13SE +/- 9139.66, N = 12SE +/- 12582.41, N = 12SE +/- 9107.04, N = 12SE +/- 6158.44, N = 12SE +/- 2411.69, N = 3SE +/- 2127.92, N = 3SE +/- 4313.15, N = 3SE +/- 3944.26, N = 15SE +/- 335.77, N = 3SE +/- 981.65, N = 3SE +/- 1328.09, N = 3SE +/- 728.58, N = 3SE +/- 654.80, N = 15SE +/- 611.43, N = 663103862936860585247050246822732442031725031635021053918240315103015028710514079365636481. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F322K4K6K8K10K8665.818559.508011.787328.526520.945932.595770.734208.203879.073270.932891.082410.512197.631483.871374.22

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7F52EPYC 7F32EPYC 7542EPYC 7742EPYC 7702EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7662EPYC 7552EPYC 7642EPYC 7272EPYC 7282EPYC 7532EPYC 7232P2M4M6M8M10MSE +/- 3201.01, N = 3SE +/- 9056.97, N = 3SE +/- 15198.80, N = 3SE +/- 6345.73, N = 3SE +/- 4763.31, N = 3SE +/- 5954.89, N = 3SE +/- 2921.91, N = 3SE +/- 16881.14, N = 3SE +/- 6430.53, N = 3SE +/- 15133.11, N = 3SE +/- 10773.68, N = 3SE +/- 4235.69, N = 3SE +/- 18409.69, N = 3SE +/- 8887.25, N = 3SE +/- 8448.82, N = 37940047793988369839456936092689994868807606804305678769267539026674881665269665513516547690654521164146091. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterCrafty 25.2Elapsed TimeEPYC 7272EPYC 7232PEPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7742EPYC 7642EPYC 7662EPYC 7702EPYC 753230K60K90K120K150K159454.66158031.23156016.10150336.84144587.96142769.17139718.79139072.47116329.09114628.80104169.48103512.01100655.9399938.4797701.58

Crypto++

Test: Unkeyed Algorithms

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7702EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7532EPYC 7552EPYC 7662EPYC 7642EPYC 7232PEPYC 7272EPYC 728270140210280350SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.55, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.93, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.25, N = 3343.61342.93302.93301.54298.73298.71298.49294.44294.27293.88293.81292.60286.19286.18285.251. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

Crypto++

Test: Unkeyed Algorithms

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7662EPYC 7702EPYC 75322468107.097.016.836.506.266.186.135.985.144.764.524.464.314.294.26

Crypto++

Test: Keyed Algorithms

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsEPYC 7F52EPYC 7F32EPYC 7542EPYC 7742EPYC 7702EPYC 7502PEPYC 7402PEPYC 7532EPYC 7552EPYC 7302PEPYC 7662EPYC 7642EPYC 7272EPYC 7232PEPYC 7282140280420560700SE +/- 0.14, N = 3SE +/- 0.29, N = 3SE +/- 0.77, N = 3SE +/- 0.40, N = 3SE +/- 0.06, N = 3SE +/- 0.31, N = 3SE +/- 0.56, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.63, N = 3SE +/- 0.31, N = 3SE +/- 0.07, N = 3SE +/- 0.59, N = 3SE +/- 0.21, N = 3628.21627.44546.72546.25539.45539.17538.09531.14530.80530.36529.62529.60514.85513.65513.601. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

Crypto++

Test: Keyed Algorithms

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7662EPYC 7532EPYC 7702369121512.3912.2812.0311.4411.0110.8410.7810.639.008.437.987.867.587.577.54

Crypto++

Test: Integer + Elliptic Curve Public Key Algorithms

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7702EPYC 7402PEPYC 7502PEPYC 7662EPYC 7532EPYC 7302PEPYC 7552EPYC 7642EPYC 7272EPYC 7232PEPYC 728210002000300040005000SE +/- 2.49, N = 3SE +/- 3.14, N = 3SE +/- 5.67, N = 3SE +/- 8.28, N = 3SE +/- 5.35, N = 3SE +/- 2.96, N = 3SE +/- 4.11, N = 3SE +/- 2.07, N = 3SE +/- 3.97, N = 3SE +/- 1.09, N = 3SE +/- 2.54, N = 3SE +/- 3.12, N = 3SE +/- 1.24, N = 3SE +/- 5.48, N = 3SE +/- 2.72, N = 34835.024834.054207.914199.914152.604151.294139.984091.784089.124086.084085.534072.763965.033949.443949.001. (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 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7662EPYC 7702EPYC 75322040608010094.0793.3691.5987.2483.9482.6981.9081.2068.5064.1461.0860.2458.1257.6357.18

ctx_clock

Context Switch Time

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeEPYC 7702EPYC 7662EPYC 7552EPYC 7742EPYC 7642EPYC 7532EPYC 7502PEPYC 7402PEPYC 7542EPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P50100150200250120120132135138144150168174175180185196203217

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 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7742EPYC 7662EPYC 7642EPYC 7402PEPYC 7552EPYC 7702EPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P2004006008001000SE +/- 0.51, N = 3SE +/- 1.50, N = 3SE +/- 0.71, N = 3SE +/- 0.42, N = 3SE +/- 1.50, N = 3SE +/- 0.53, N = 3SE +/- 1.18, N = 3SE +/- 0.40, N = 3SE +/- 0.82, N = 3SE +/- 1.46, N = 3SE +/- 0.79, N = 3SE +/- 0.19, N = 3SE +/- 1.22, N = 3SE +/- 0.49, N = 3SE +/- 0.40, N = 31062.321039.60983.45974.40969.31966.04963.00962.88956.82954.20949.15943.29928.43919.01876.451. (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 7272EPYC 7232PEPYC 7282EPYC 7F32EPYC 7302PEPYC 7542EPYC 7402PEPYC 7502PEPYC 7552EPYC 7F52EPYC 7532EPYC 7642EPYC 7662EPYC 7742EPYC 770251015202518.6718.6718.1216.0316.0115.3215.1815.0412.1211.4311.2510.7810.4810.419.72

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 7F32EPYC 7542EPYC 7642EPYC 7742EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7662EPYC 7552EPYC 7532EPYC 7272EPYC 7702EPYC 7232PEPYC 7282EPYC 7F522004006008001000SE +/- 2.91, N = 3SE +/- 3.23, N = 3SE +/- 1.66, N = 3SE +/- 6.63, N = 3SE +/- 2.49, N = 3SE +/- 3.41, N = 3SE +/- 1.97, N = 3SE +/- 7.17, N = 3SE +/- 3.34, N = 3SE +/- 1.89, N = 3SE +/- 3.25, N = 3SE +/- 3.26, N = 3SE +/- 1.85, N = 3SE +/- 3.07, N = 3SE +/- 5.28, N = 3967.37908.46903.30902.38899.45898.84898.21897.59895.52895.33864.62861.35861.07858.54773.861. (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 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7552EPYC 7642EPYC 7532EPYC 7662EPYC 7742EPYC 7702EPYC 7F5251015202519.6919.3618.4816.7916.6816.6116.5316.0313.3712.1311.9411.6111.5510.759.53

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7F32EPYC 7F52EPYC 7272EPYC 7232PEPYC 7282EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 77426K12K18K24K30KSE +/- 296.05, N = 4SE +/- 205.94, N = 13SE +/- 251.88, N = 3SE +/- 130.62, N = 3SE +/- 162.08, N = 13SE +/- 278.67, N = 4SE +/- 228.79, N = 5SE +/- 300.22, N = 3SE +/- 303.68, N = 3SE +/- 233.41, N = 5SE +/- 149.83, N = 11SE +/- 208.12, N = 5SE +/- 203.19, N = 6SE +/- 189.69, N = 6SE +/- 248.77, N = 327135.6324205.5423807.6723230.1922574.8022339.8521653.9121442.0021272.0420967.4820634.2020036.1919915.0019062.9218909.101. (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 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7552EPYC 7532EPYC 7642EPYC 7662EPYC 7742EPYC 7702110220330440550531.57527.48475.56446.35405.87372.78365.15356.46283.96278.09261.72242.20231.24215.38211.71

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pEPYC 7662EPYC 7742EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P30060090012001500SE +/- 3.75, N = 3SE +/- 3.10, N = 3SE +/- 1.10, N = 3SE +/- 1.60, N = 3SE +/- 3.10, N = 3SE +/- 0.47, N = 3SE +/- 1.87, N = 3SE +/- 1.15, N = 3SE +/- 2.68, N = 3SE +/- 1.44, N = 3SE +/- 0.46, N = 3SE +/- 0.73, N = 3SE +/- 0.90, N = 3SE +/- 0.28, N = 3SE +/- 0.82, N = 31193.661166.421070.091050.991044.25937.44932.75880.57847.40651.36644.23634.51555.11453.36419.19MIN: 500.62 / MAX: 1329.43MIN: 498.33 / MAX: 1299.42MIN: 574.58 / MAX: 1186.8MIN: 478.51 / MAX: 1166.67MIN: 554.63 / MAX: 1157.48MIN: 659.51 / MAX: 1052.41MIN: 659.65 / MAX: 1047.61MIN: 567.79 / MAX: 985.57MIN: 566.75 / MAX: 939.62MIN: 480.87 / MAX: 706.63MIN: 503.48 / MAX: 704.1MIN: 482.67 / MAX: 693.38MIN: 463.4 / MAX: 605.59MIN: 400.76 / MAX: 488.59MIN: 370.7 / MAX: 456.841. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pEPYC 7542EPYC 7502PEPYC 7662EPYC 7552EPYC 7742EPYC 7642EPYC 7402PEPYC 7702EPYC 7282EPYC 7272EPYC 7532EPYC 7302PEPYC 7232PEPYC 7F52EPYC 7F324812162016.3615.8015.5415.4214.9514.7014.3713.0812.8811.3511.3010.938.747.407.06

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KEPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P100200300400500SE +/- 0.74, N = 3SE +/- 0.33, N = 3SE +/- 0.34, N = 3SE +/- 0.17, N = 3SE +/- 0.66, N = 3SE +/- 0.75, N = 3SE +/- 0.16, N = 3SE +/- 0.29, N = 3SE +/- 0.61, N = 3SE +/- 0.23, N = 3SE +/- 0.46, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.14, N = 3457.27454.41437.31416.96406.93367.19361.72349.99328.54245.60244.17239.84203.40168.17150.43MIN: 225.33 / MAX: 494.73MIN: 219.4 / MAX: 490.36MIN: 217.67 / MAX: 473.18MIN: 251.44 / MAX: 465MIN: 257.69 / MAX: 456.39MIN: 288.65 / MAX: 424.55MIN: 287.95 / MAX: 416.23MIN: 266.02 / MAX: 399.72MIN: 249.05 / MAX: 376.65MIN: 210.68 / MAX: 281.84MIN: 200.55 / MAX: 270.42MIN: 211 / MAX: 275.93MIN: 187.66 / MAX: 232.21MIN: 157.91 / MAX: 191.26MIN: 141.09 / MAX: 170.161. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KEPYC 7662EPYC 7542EPYC 7552EPYC 7502PEPYC 7642EPYC 7742EPYC 7702EPYC 7402PEPYC 7282EPYC 7532EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F321.1072.2143.3214.4285.5354.924.914.654.624.614.564.454.143.733.543.323.132.512.062.00

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pEPYC 7662EPYC 7642EPYC 7742EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P2004006008001000SE +/- 2.82, N = 3SE +/- 0.45, N = 3SE +/- 2.57, N = 3SE +/- 2.26, N = 3SE +/- 3.47, N = 3SE +/- 0.52, N = 3SE +/- 0.95, N = 3SE +/- 2.20, N = 3SE +/- 1.22, N = 3SE +/- 0.66, N = 3SE +/- 0.72, N = 3SE +/- 1.86, N = 3SE +/- 1.45, N = 3SE +/- 0.38, N = 3SE +/- 0.34, N = 31158.081116.831113.871095.40983.61939.90937.73892.42839.06712.26698.08671.07624.79496.11473.82MIN: 644.06 / MAX: 1489.95MIN: 672.49 / MAX: 1434.66MIN: 632.86 / MAX: 1429.43MIN: 671.87 / MAX: 1406.03MIN: 616.84 / MAX: 1260.07MIN: 689.36 / MAX: 1207.51MIN: 687.68 / MAX: 1200.87MIN: 641.23 / MAX: 1144.96MIN: 646.27 / MAX: 1067.76MIN: 546.18 / MAX: 898.36MIN: 539.13 / MAX: 873.36MIN: 524.48 / MAX: 829.64MIN: 483.27 / MAX: 784.91MIN: 390.79 / MAX: 704.31MIN: 365.77 / MAX: 674.591. (CC) gcc options: -pthread

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pEPYC 7542EPYC 7502PEPYC 7552EPYC 7642EPYC 7662EPYC 7282EPYC 7402PEPYC 7742EPYC 7272EPYC 7702EPYC 7302PEPYC 7532EPYC 7232PEPYC 7F52EPYC 7F324812162017.3716.8016.6715.5515.2515.0314.9614.6813.0812.6412.6111.8410.248.077.83

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitEPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P4080120160200SE +/- 0.56, N = 3SE +/- 0.55, N = 3SE +/- 0.31, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3190.19190.04185.31179.72178.70152.78152.15146.29135.69129.77116.68114.49109.55107.2594.36MIN: 126.93 / MAX: 307.7MIN: 126.76 / MAX: 308.03MIN: 125.96 / MAX: 294.64MIN: 121.84 / MAX: 276.81MIN: 121.07 / MAX: 277.42MIN: 98.52 / MAX: 278.09MIN: 97.46 / MAX: 272.72MIN: 94.75 / MAX: 256.37MIN: 85.88 / MAX: 272.31MIN: 84.35 / MAX: 268.95MIN: 74.3 / MAX: 261.93MIN: 72.02 / MAX: 259.87MIN: 70.77 / MAX: 249.84MIN: 67.93 / MAX: 243.83MIN: 60.14 / MAX: 225.561. (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 7552EPYC 7542EPYC 7502PEPYC 7742EPYC 7662EPYC 7642EPYC 7282EPYC 7402PEPYC 7702EPYC 7272EPYC 7302PEPYC 7232PEPYC 7532EPYC 7F32EPYC 7F520.58281.16561.74842.33122.9142.592.582.532.392.372.342.292.262.222.152.001.951.841.621.47

ebizzy

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 7742EPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P600K1200K1800K2400K3000KSE +/- 24194.67, N = 15SE +/- 34594.95, N = 12SE +/- 37169.94, N = 3SE +/- 25794.01, N = 15SE +/- 24033.50, N = 3SE +/- 8453.72, N = 3SE +/- 15669.57, N = 3SE +/- 10663.27, N = 3SE +/- 15686.47, N = 3SE +/- 7117.75, N = 3SE +/- 8057.83, N = 3SE +/- 8956.45, N = 3SE +/- 906.56, N = 3SE +/- 6904.71, N = 7SE +/- 4933.88, N = 32853783276264727193882701767245651121368501977325194783617218541475280120846610219908839657768806232721. (CC) gcc options: -pthread -lpthread -O3 -march=native

ebizzy

OpenBenchmarking.orgRecords/s Per Watt, More Is Betterebizzy 0.3EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7742EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F324K8K12K16K20K16672.7616026.5715813.4715696.6315179.5014373.6313548.3913352.1112779.0611127.2710725.429696.427399.847194.425966.03

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7F52EPYC 7F32EPYC 7542EPYC 7742EPYC 7402PEPYC 7502PEPYC 7702EPYC 7662EPYC 7532EPYC 7642EPYC 7302PEPYC 7552EPYC 7232PEPYC 7272EPYC 7282918273645SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.15, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.12, N = 4SE +/- 0.09, N = 4SE +/- 0.07, N = 4SE +/- 0.06, N = 4SE +/- 0.12, N = 4SE +/- 0.11, N = 4SE +/- 0.11, N = 4SE +/- 0.08, N = 4SE +/- 0.10, N = 430.7530.8435.2735.3035.6935.7335.9336.2036.2436.2836.3636.4037.4037.4037.551. (CC) gcc options: -O2 -std=c99

Etcpak

Configuration: ETC2

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC2EPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7502PEPYC 7702EPYC 7402PEPYC 7642EPYC 7662EPYC 7302PEPYC 7552EPYC 7532EPYC 7232PEPYC 7272EPYC 72824080120160200SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3159.79159.60139.25138.89137.34137.28137.09135.26135.24135.18135.14135.01131.18131.15130.881. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

Etcpak

Configuration: ETC2

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC2EPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7662EPYC 77020.73581.47162.20742.94323.6793.273.243.163.072.912.872.862.792.392.292.102.092.022.002.00

Etcpak

Configuration: DXT1

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: DXT1EPYC 7F32EPYC 7F52EPYC 7742EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7642EPYC 7552EPYC 7302PEPYC 7662EPYC 7532EPYC 7272EPYC 7232PEPYC 728230060090012001500SE +/- 0.24, N = 8SE +/- 2.05, N = 8SE +/- 2.22, N = 7SE +/- 1.94, N = 7SE +/- 1.96, N = 7SE +/- 1.34, N = 7SE +/- 1.99, N = 7SE +/- 1.84, N = 7SE +/- 1.97, N = 7SE +/- 1.74, N = 7SE +/- 2.20, N = 7SE +/- 2.27, N = 7SE +/- 1.94, N = 7SE +/- 1.98, N = 7SE +/- 2.23, N = 71179.301179.021035.371035.231022.481019.211018.971008.511008.241007.951007.221006.92978.85976.59975.221. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

Etcpak

Configuration: DXT1

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: DXT1EPYC 7232PEPYC 7272EPYC 7F32EPYC 7282EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7702EPYC 766261218243027.4527.1026.6426.3924.7524.4524.2823.7520.4919.8218.2717.7917.3617.0717.06

Facebook RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7662EPYC 7642EPYC 7742EPYC 7552EPYC 7702EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P70K140K210K280K350KSE +/- 735.95, N = 3SE +/- 768.33, N = 3SE +/- 23.47, N = 3SE +/- 749.32, N = 3SE +/- 166.32, N = 3SE +/- 219.22, N = 3SE +/- 344.84, N = 3SE +/- 622.13, N = 3SE +/- 607.97, N = 3SE +/- 436.15, N = 3SE +/- 203.74, N = 3SE +/- 223.01, N = 3SE +/- 175.05, N = 3SE +/- 204.78, N = 3333412331791331439331300287115259353258759253689216427172585163535163248131583100843943711. (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 7542EPYC 7502PEPYC 7552EPYC 7282EPYC 7402PEPYC 7702EPYC 7642EPYC 7272EPYC 7302PEPYC 7532EPYC 7742EPYC 7662EPYC 7232PEPYC 7F52EPYC 7F3270014002100280035003314.423252.083130.893041.803035.682752.632741.842715.042693.492535.972391.112353.302127.711704.391654.28

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P50M100M150M200M250MSE +/- 2178579.83, N = 3SE +/- 2628540.04, N = 3SE +/- 1573991.80, N = 3SE +/- 1627088.40, N = 3SE +/- 1503518.94, N = 3SE +/- 979987.31, N = 3SE +/- 298644.62, N = 3SE +/- 577476.24, N = 3SE +/- 701112.41, N = 3SE +/- 33050.19, N = 3SE +/- 731623.27, N = 6SE +/- 860580.20, N = 3SE +/- 532212.35, N = 3SE +/- 173513.15, N = 3SE +/- 468827.18, N = 32382397362184698242147177601857129821850950081474882801393380561330385501143914349388313076972090748165605692896748331735392061561. (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 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32200K400K600K800K1000K1165531.871144599.801116784.851055932.79966385.49931173.20861998.88820332.86752967.14744401.17623360.93561814.90482400.32405107.75383902.17

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7742EPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P2M4M6M8M10MSE +/- 61282.17, N = 12SE +/- 47749.78, N = 3SE +/- 27617.12, N = 3SE +/- 44027.23, N = 3SE +/- 69440.76, N = 6SE +/- 55384.00, N = 3SE +/- 24292.51, N = 3SE +/- 32730.71, N = 3SE +/- 43537.48, N = 3SE +/- 25144.15, N = 3SE +/- 26792.49, N = 3SE +/- 8186.58, N = 3SE +/- 24217.23, N = 3SE +/- 10805.74, N = 13SE +/- 1710.84, N = 38597452823247481753837183579713160055644335486066521430243976953086237302323930123872357928160367314706211. (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 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F329K18K27K36K45K44350.1043072.9741351.7940538.4437151.1636657.2232038.2031284.4129403.1128233.6924738.5023416.2918803.6914841.4414725.01

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7662EPYC 7642EPYC 7742EPYC 7702EPYC 7542EPYC 7502PEPYC 7552EPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P30K60K90K120K150KSE +/- 1366.04, N = 15SE +/- 641.51, N = 9SE +/- 1018.84, N = 15SE +/- 1033.87, N = 15SE +/- 143.74, N = 9SE +/- 160.95, N = 8SE +/- 375.36, N = 8SE +/- 154.09, N = 8SE +/- 134.09, N = 10SE +/- 80.44, N = 9SE +/- 71.59, N = 9SE +/- 308.97, N = 9SE +/- 22.37, N = 11SE +/- 37.94, N = 10SE +/- 139.55, N = 9155375.98149967.74148358.57145868.29144583.87136276.50135838.12135786.94111563.8484316.2376796.0471767.9661838.5254800.9944242.981. (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 7502PEPYC 7402PEPYC 7542EPYC 7662EPYC 7642EPYC 7532EPYC 7552EPYC 7702EPYC 7742EPYC 7282EPYC 7272EPYC 7302PEPYC 7232PEPYC 7F32EPYC 7F52300600900120015001457.281403.881396.951389.251309.221272.001263.451260.431214.721200.321139.681116.04839.58805.56604.59

FinanceBench

Benchmark: Bonds OpenMP

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7502PEPYC 7702EPYC 7402PEPYC 7302PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7272EPYC 7232PEPYC 728220K40K60K80K100KSE +/- 185.79, N = 3SE +/- 395.61, N = 3SE +/- 26.41, N = 3SE +/- 152.13, N = 3SE +/- 294.03, N = 3SE +/- 232.73, N = 3SE +/- 397.99, N = 3SE +/- 461.99, N = 3SE +/- 287.97, N = 3SE +/- 75.52, N = 3SE +/- 380.43, N = 3SE +/- 966.88, N = 3SE +/- 203.38, N = 3SE +/- 200.17, N = 3SE +/- 402.31, N = 376027.9876410.1186946.6187489.3888487.5788553.7888634.3189863.2690157.2890310.9090409.5990672.4592387.2592426.4992896.621. (CXX) g++ options: -O3 -march=native -fopenmp

FinanceBench

Benchmark: Repo OpenMP

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPEPYC 7F52EPYC 7F32EPYC 7742EPYC 7542EPYC 7402PEPYC 7502PEPYC 7702EPYC 7642EPYC 7532EPYC 7662EPYC 7302PEPYC 7552EPYC 7272EPYC 7282EPYC 7232P11K22K33K44K55KSE +/- 174.69, N = 3SE +/- 107.65, N = 3SE +/- 5.24, N = 3SE +/- 84.26, N = 3SE +/- 17.38, N = 3SE +/- 71.59, N = 3SE +/- 45.54, N = 3SE +/- 6.70, N = 3SE +/- 133.22, N = 3SE +/- 71.36, N = 3SE +/- 383.79, N = 3SE +/- 241.95, N = 3SE +/- 108.67, N = 3SE +/- 109.50, N = 3SE +/- 275.73, N = 343527.2843548.6349870.8250076.2750474.7050609.0451015.8751397.3651428.8951437.7951629.1051630.5052936.9852977.6053237.681. (CXX) g++ options: -O3 -march=native -fopenmp

Google SynthMark

Test: VoiceMark_100

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7502PEPYC 7402PEPYC 7702EPYC 7302PEPYC 7532EPYC 7552EPYC 7662EPYC 7642EPYC 7232PEPYC 7272EPYC 7282160320480640800SE +/- 0.17, N = 3SE +/- 0.59, N = 3SE +/- 0.70, N = 3SE +/- 0.66, N = 3SE +/- 0.11, N = 3SE +/- 0.32, N = 3SE +/- 0.57, N = 3SE +/- 0.13, N = 3SE +/- 0.46, N = 3SE +/- 0.70, N = 3SE +/- 0.57, N = 3SE +/- 0.76, N = 3SE +/- 0.27, N = 3SE +/- 0.12, N = 3SE +/- 0.36, N = 3740.58739.72645.87643.82637.38636.43635.92627.74627.06626.57624.73623.84608.61608.05605.831. (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 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7702EPYC 76624812162015.4715.3314.8414.5913.8313.6113.5113.1111.2510.899.919.879.499.499.48

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7742EPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7F32EPYC 7272EPYC 7232P60120180240300SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.46, N = 3SE +/- 0.19, N = 3SE +/- 0.87, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.37, N = 3SE +/- 0.67, N = 378.0178.3979.9881.0686.7493.24103.30105.67116.41139.15165.41177.91200.41205.89271.161. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1.08862.17723.26584.35445.443SE +/- 0.023, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.013, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 34.8384.5414.3734.1173.8633.3233.2673.1282.7412.0141.9951.6771.4091.3450.9851. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7742EPYC 7662EPYC 7642EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7552EPYC 7302PEPYC 7402PEPYC 7702EPYC 7F32EPYC 7F52EPYC 7272EPYC 7232P0.00680.01360.02040.02720.0340.030.030.020.020.020.020.020.020.020.020.020.010.010.010.01

GROMACS

Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021Input: water_GMX50_bareEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7542EPYC 7532EPYC 7502PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F321.09622.19243.28864.38485.481SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 34.8724.5334.3714.1063.3173.2563.1402.3131.6751.4071.3481. (CXX) g++ options: -O3 -pthread

GROMACS

Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021Input: water_GMX50_bareEPYC 7742EPYC 7662EPYC 7642EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7F32EPYC 7F520.00680.01360.02040.02720.0340.030.030.020.020.020.020.020.010.01

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7402PEPYC 7502PEPYC 7702EPYC 7532EPYC 7552EPYC 7662EPYC 7302PEPYC 7642EPYC 7272EPYC 7232PEPYC 728270M140M210M280M350MSE +/- 60046.42, N = 3SE +/- 33906.80, N = 3SE +/- 40543.01, N = 3SE +/- 44137.19, N = 3SE +/- 465752.47, N = 3SE +/- 131222.60, N = 3SE +/- 320354.97, N = 3SE +/- 12833.10, N = 3SE +/- 234513.76, N = 3SE +/- 136985.64, N = 3SE +/- 206566.86, N = 3SE +/- 426281.88, N = 3SE +/- 380619.49, N = 3SE +/- 333820.85, N = 3SE +/- 38644.36, N = 3346733990.00346505619.64302406827.18302249577.83297827555.09297816529.28297478250.43293437386.11293216264.80293169027.15292597759.78292412973.62284710986.66284332324.15283588722.341. (CC) gcc options: -O3 -march=native -lm

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs Per Watt, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7662EPYC 77021.5M3M4.5M6M7.5M6962207.106892716.306710210.446400547.896161220.616095028.206028009.875937216.365029503.054710525.854438176.404374765.044210427.874208867.424189997.27

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7532EPYC 7642EPYC 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7F32EPYC 7272EPYC 7282EPYC 7232PEPYC 7F5248121620SE +/- 0.00249, N = 3SE +/- 0.00479, N = 3SE +/- 0.00378, N = 3SE +/- 0.00350, N = 3SE +/- 0.03096, N = 3SE +/- 0.00667, N = 3SE +/- 0.07483, N = 3SE +/- 0.01008, N = 3SE +/- 0.00324, N = 3SE +/- 0.00275, N = 3SE +/- 0.06375, N = 3SE +/- 0.00448, N = 3SE +/- 0.00263, N = 3SE +/- 0.00542, N = 3SE +/- 0.05299, N = 1117.9677017.6850017.3863017.3763017.3075016.6494015.6329015.5629015.2920015.2794012.956009.097439.051548.646617.089251. (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 7302PEPYC 7542EPYC 7402PEPYC 7F32EPYC 7502PEPYC 7272EPYC 7232PEPYC 7642EPYC 7532EPYC 7282EPYC 7552EPYC 7742EPYC 7662EPYC 7702EPYC 7F520.03150.0630.09450.1260.15750.140.120.120.110.110.110.110.100.100.100.100.090.090.090.05

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7F52EPYC 7F32EPYC 7542EPYC 7742EPYC 7502PEPYC 7662EPYC 7532EPYC 7642EPYC 7552EPYC 7302PEPYC 7402PEPYC 7702EPYC 7282EPYC 7272EPYC 7232P9001800270036004500SE +/- 38.21, N = 3SE +/- 33.69, N = 3SE +/- 9.42, N = 3SE +/- 21.82, N = 3SE +/- 43.10, N = 4SE +/- 47.38, N = 4SE +/- 42.46, N = 3SE +/- 44.49, N = 4SE +/- 31.29, N = 9SE +/- 46.66, N = 4SE +/- 37.84, N = 3SE +/- 36.48, N = 3SE +/- 17.87, N = 3SE +/- 37.21, N = 3SE +/- 25.83, N = 34367.124336.413988.943937.233853.503837.563830.203816.083793.173792.813765.853762.493756.963634.173589.931. (CC) gcc options: -O3 -mavx2

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7282EPYC 7232PEPYC 7272EPYC 7542EPYC 7F32EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7662EPYC 77022040608010084.3683.0982.9877.4375.9575.0573.5073.2462.4257.5556.7856.0153.9653.8551.62

Hugin

Panorama Photo Assistant + Stitching Time

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7F52EPYC 7542EPYC 7F32EPYC 7402PEPYC 7502PEPYC 7642EPYC 7552EPYC 7532EPYC 7742EPYC 7702EPYC 7302PEPYC 7662EPYC 7282EPYC 7272EPYC 7232P1326395265SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.33, N = 3SE +/- 0.41, N = 3SE +/- 0.42, N = 3SE +/- 0.25, N = 3SE +/- 0.28, N = 3SE +/- 0.36, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.45, N = 3SE +/- 0.23, N = 3SE +/- 0.50, N = 3SE +/- 0.07, N = 3SE +/- 0.80, N = 350.5952.9952.9953.3653.7255.3055.4255.5755.6055.6855.7755.9556.1057.2459.31

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderEPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7402PEPYC 7552EPYC 7662EPYC 7742EPYC 7702EPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P100200300400500SE +/- 0.39, N = 3SE +/- 0.52, N = 3SE +/- 0.57, N = 3SE +/- 0.73, N = 3SE +/- 0.20, N = 3SE +/- 1.22, N = 3SE +/- 0.75, N = 3SE +/- 0.47, N = 3SE +/- 0.50, N = 3SE +/- 0.68, N = 3SE +/- 0.25, N = 3SE +/- 0.47, N = 3SE +/- 0.37, N = 3SE +/- 0.12, N = 3SE +/- 1.04, N = 3187.60189.66193.92195.34200.21206.58206.95213.09224.62230.94262.63270.72325.84375.70450.851. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P510152025SE +/- 0.050, N = 3SE +/- 0.043, N = 3SE +/- 0.063, N = 3SE +/- 0.035, N = 3SE +/- 0.038, N = 3SE +/- 0.008, N = 3SE +/- 0.031, N = 3SE +/- 0.016, N = 3SE +/- 0.014, N = 3SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.010, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 320.74319.09519.06216.23015.98412.73811.85411.5319.6307.6846.5756.2144.8553.8833.117

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7282EPYC 7402PEPYC 7272EPYC 7302PEPYC 7232PEPYC 7F32EPYC 7F520.02250.0450.06750.090.11250.100.100.100.090.090.080.080.070.060.060.050.050.040.030.03

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.010, N = 3SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.020, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 39.6718.8988.8117.5967.5555.9505.4775.4154.4943.4613.1292.9322.2891.8081.456

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7502PEPYC 7552EPYC 7532EPYC 7282EPYC 7542EPYC 7302PEPYC 7402PEPYC 7F32EPYC 7F52EPYC 7272EPYC 7232P0.01130.02260.03390.04520.05650.050.050.050.040.040.040.030.030.030.030.030.020.020.020.02

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 7502PEPYC 7402PEPYC 7F52EPYC 7742EPYC 7642EPYC 7702EPYC 7662EPYC 7552EPYC 7532EPYC 7302PEPYC 7282EPYC 7542EPYC 7F32EPYC 7272EPYC 7232P300K600K900K1200K1500KSE +/- 1998.87, N = 3SE +/- 607.09, N = 3SE +/- 771.81, N = 3SE +/- 2430.14, N = 3SE +/- 472.72, N = 3SE +/- 1936.89, N = 3SE +/- 2041.67, N = 3SE +/- 2507.53, N = 3SE +/- 2350.83, N = 3SE +/- 842.53, N = 3SE +/- 1258.02, N = 3SE +/- 577.19, N = 3SE +/- 2229.96, N = 3SE +/- 1165.03, N = 3SE +/- 1045.78, N = 31262530.41248284.11247037.61217027.71215056.11212918.21209698.01208480.81197778.91188387.21172021.11162690.91155871.81143360.51041996.8

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 7272EPYC 7282EPYC 7232PEPYC 7302PEPYC 7502PEPYC 7402PEPYC 7542EPYC 7F32EPYC 7552EPYC 7532EPYC 7642EPYC 7662EPYC 7742EPYC 7702EPYC 7F524K8K12K16K20K19247.1019191.0419005.4317671.8517421.8517298.6916668.2115038.7814523.7312972.7512867.2912804.7012759.8812097.1611716.29

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 7F52EPYC 7702EPYC 7502PEPYC 7642EPYC 7662EPYC 7742EPYC 7402PEPYC 7552EPYC 7532EPYC 7F32EPYC 7302PEPYC 7282EPYC 7542EPYC 7272EPYC 7232P300K600K900K1200K1500KSE +/- 2686.24, N = 3SE +/- 628.66, N = 3SE +/- 702.94, N = 3SE +/- 1733.41, N = 3SE +/- 762.66, N = 3SE +/- 546.91, N = 3SE +/- 2008.07, N = 3SE +/- 686.09, N = 3SE +/- 759.90, N = 3SE +/- 1176.92, N = 3SE +/- 1121.87, N = 3SE +/- 1061.91, N = 3SE +/- 295.02, N = 3SE +/- 1242.45, N = 3SE +/- 1442.60, N = 31438050.41308517.21303437.61295588.81294664.51294605.51290897.81288738.61281490.51279851.81249264.61211354.31206497.81185857.81113861.3

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 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7502PEPYC 7402PEPYC 7542EPYC 7F32EPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7742EPYC 7F52EPYC 77024K8K12K16K20K19958.0519817.6719723.3718467.7517835.7117743.6417199.2516288.2415448.0913818.7113662.8613661.3913552.6313202.4312919.70

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P714212835SE +/- 0.02, N = 6SE +/- 0.04, N = 6SE +/- 0.03, N = 6SE +/- 0.05, N = 6SE +/- 0.02, N = 6SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.12, N = 6SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 330.2529.4127.6726.6826.1321.5520.2520.1417.1714.2412.1811.349.037.946.55

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7742EPYC 7662EPYC 7552EPYC 7702EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.04730.09460.14190.18920.23650.210.210.200.200.180.160.160.150.130.120.110.100.080.070.06

John The Ripper

Test: MD5

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1000K2000K3000K4000K5000KSE +/- 1527.53, N = 3SE +/- 3282.95, N = 3SE +/- 881.92, N = 3SE +/- 881.92, N = 3SE +/- 2905.93, N = 3SE +/- 2185.81, N = 3SE +/- 1527.53, N = 3SE +/- 1452.97, N = 3SE +/- 1763.83, N = 3SE +/- 2603.42, N = 3SE +/- 2000.00, N = 3SE +/- 881.92, N = 3SE +/- 525.27, N = 3SE +/- 798.79, N = 345680004195333418300035576673528667279866725963332534000212733317316671460333135400010723338747007171751. (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 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F325K10K15K20K25K22927.6322402.9722232.8820367.1218839.0317709.0416435.4915619.6513762.6813466.2311851.0210769.059459.277625.617334.16

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P16K32K48K64K80KSE +/- 34.82, N = 3SE +/- 4.67, N = 3SE +/- 15.77, N = 3SE +/- 3.00, N = 3SE +/- 72.25, N = 3SE +/- 17.06, N = 3SE +/- 8.37, N = 3SE +/- 9.84, N = 3SE +/- 1.00, N = 3SE +/- 3.33, N = 3SE +/- 3.06, N = 3SE +/- 12.17, N = 3SE +/- 4.10, N = 3SE +/- 1.67, N = 3SE +/- 2.31, N = 37523473579700336111959963445964370342800337552634522314214541622413183108251. (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 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32100200300400500439.24420.61420.48379.39337.12317.83316.71273.00260.68255.06235.34213.21177.43156.27144.00

JPEG XL

Input: PNG - Encode Speed: 5

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 5EPYC 7542EPYC 7502PEPYC 7642EPYC 7742EPYC 7532EPYC 7F52EPYC 7282EPYC 7F3220406080100SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 380.0579.5977.7177.3476.1873.8367.2963.511. (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 7F52EPYC 7542EPYC 7742EPYC 7502PEPYC 7642EPYC 7F32EPYC 7532EPYC 72823691215SE +/- 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 = 3SE +/- 0.01, N = 310.6910.0910.0610.029.889.789.709.081. (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 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7642EPYC 7532EPYC 7502PEPYC 72820.17780.35560.53340.71120.889SE +/- 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 = 30.790.790.710.700.690.690.690.661. (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 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7742EPYC 7532EPYC 7642EPYC 72821428425670SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 360.5760.2558.6858.5955.7454.9754.7553.841. (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 7F32EPYC 7F52EPYC 7502PEPYC 7542EPYC 7742EPYC 7642EPYC 7532EPYC 72821326395265SE +/- 0.15, N = 4SE +/- 0.24, N = 4SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 360.2560.1258.6258.5955.7854.8054.7353.751. (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 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7742EPYC 7532EPYC 7642EPYC 7282612182430SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.03, N = 3SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 527.5927.4425.2325.0324.4724.0623.9623.051. (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 7282EPYC 7542EPYC 7F32EPYC 7642EPYC 7532EPYC 7742EPYC 7F520.26550.5310.79651.0621.32751.181.150.870.840.840.810.71

JPEG XL

Input: PNG - Encode Speed: 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 7EPYC 7282EPYC 7542EPYC 7F32EPYC 7742EPYC 7642EPYC 7532EPYC 7F520.04050.0810.12150.1620.20250.180.170.150.130.130.120.12

JPEG XL

Input: PNG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 8EPYC 7742EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F520.00230.00460.00690.00920.01150.010.010.010.010.010.010.01

JPEG XL

Input: JPEG - Encode Speed: 5

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 5EPYC 7282EPYC 7542EPYC 7F32EPYC 7642EPYC 7742EPYC 7532EPYC 7F520.2610.5220.7831.0441.3051.161.111.020.780.770.740.73

JPEG XL

Input: JPEG - Encode Speed: 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 7EPYC 7282EPYC 7542EPYC 7F32EPYC 7642EPYC 7742EPYC 7532EPYC 7F520.26550.5310.79651.0621.32751.181.121.040.800.780.760.75

JPEG XL

Input: JPEG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 8EPYC 7282EPYC 7542EPYC 7F32EPYC 7642EPYC 7742EPYC 7F52EPYC 75320.12380.24760.37140.49520.6190.550.540.530.380.370.370.36

JPEG XL Decoding

CPU Threads: 1

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: 1EPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7642EPYC 7532EPYC 7282918273645SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 338.4237.9434.2233.1532.7632.6932.16

JPEG XL Decoding

CPU Threads: All

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: AllEPYC 7F52EPYC 7282EPYC 7542EPYC 7F32EPYC 7532EPYC 7742EPYC 764250100150200250SE +/- 0.29, N = 3SE +/- 0.06, N = 3SE +/- 0.90, N = 3SE +/- 0.06, N = 3SE +/- 0.41, N = 3SE +/- 0.19, N = 3SE +/- 0.42, N = 3207.63197.76188.06183.95171.73145.07136.31

JPEG XL Decoding

CPU Threads: 1

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: 1EPYC 7282EPYC 7F32EPYC 7542EPYC 7642EPYC 7742EPYC 75320.16650.3330.49950.6660.83250.740.690.680.490.480.47

JPEG XL Decoding

CPU Threads: All

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: AllEPYC 7282EPYC 7542EPYC 7F32EPYC 7532EPYC 7742EPYC 76420.6751.352.0252.73.3753.002.342.171.651.351.29

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7F52EPYC 7F32EPYC 7542EPYC 7282EPYC 7272EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7532EPYC 7232PEPYC 7552EPYC 7642EPYC 7742EPYC 7662EPYC 770290K180K270K360K450KSE +/- 428.23, N = 3SE +/- 183.84, N = 3SE +/- 3270.77, N = 3SE +/- 1079.81, N = 3SE +/- 1365.59, N = 3SE +/- 3460.73, N = 3SE +/- 430.27, N = 3SE +/- 639.41, N = 3SE +/- 2791.26, N = 3SE +/- 533.37, N = 3SE +/- 5135.26, N = 3SE +/- 4280.31, N = 3SE +/- 3531.23, N = 15SE +/- 4382.81, N = 3SE +/- 4507.61, N = 3433091.73424600.07422944.46420324.96418080.47415583.96413354.59405905.78404313.15399110.88394639.23386824.54380625.69376241.11371448.211. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

KeyDB

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterKeyDB 6.0.16EPYC 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7542EPYC 7402PEPYC 7502PEPYC 7F32EPYC 7552EPYC 7532EPYC 7642EPYC 7F52EPYC 7742EPYC 7662EPYC 7702160032004800640080007415.887232.187158.886206.076102.855903.165856.345640.604838.074517.764228.114143.954123.944095.783833.65

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4EPYC 7642EPYC 7532EPYC 7662EPYC 7742EPYC 7552EPYC 7402PEPYC 7702EPYC 7542EPYC 7502PEPYC 7302PEPYC 7F32EPYC 7272EPYC 7282EPYC 7232PEPYC 7F5250M100M150M200M250MSE +/- 5572341.62, N = 12SE +/- 5452949.69, N = 15SE +/- 2208966.30, N = 15SE +/- 4938353.34, N = 12SE +/- 1883204.11, N = 15SE +/- 481377.88, N = 4SE +/- 2966178.44, N = 15SE +/- 3811837.38, N = 15SE +/- 2175939.87, N = 3SE +/- 3144064.63, N = 15SE +/- 1036502.10, N = 15SE +/- 1366026.89, N = 3SE +/- 927929.45, N = 9SE +/- 1075776.09, N = 4SE +/- 574642.20, N = 15230851783216525133215771227212054200211310307209811150199683960187397007176798867162898387129536920121256433112489722100898758714133941. (CXX) g++ options: -O3 -fopenmp

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.4EPYC 7402PEPYC 7532EPYC 7552EPYC 7642EPYC 7302PEPYC 7542EPYC 7662EPYC 7502PEPYC 7272EPYC 7742EPYC 7702EPYC 7282EPYC 7232PEPYC 7F32EPYC 7F52400K800K1200K1600K2000K1932212.231673190.411673028.981663875.881638766.481635500.081604877.741575405.351508621.961441967.521423158.291357552.351349588.101163515.81514628.71

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7742EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7702EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 316.5016.4415.9415.5014.9414.9413.9713.6511.2210.669.158.616.495.734.721. (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 7502PEPYC 7662EPYC 7552EPYC 7742EPYC 7642EPYC 7532EPYC 7282EPYC 7542EPYC 7702EPYC 7302PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F520.02250.0450.06750.090.11250.100.100.100.090.090.090.090.090.090.080.080.070.060.050.05

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 7662EPYC 7742EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P918273645SE +/- 0.01, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 339.1538.6537.3936.0735.8135.0633.2532.7226.6126.3122.9421.7017.8315.5612.981. (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 7662EPYC 7502PEPYC 7552EPYC 7742EPYC 7542EPYC 7702EPYC 7642EPYC 7282EPYC 7532EPYC 7302PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F520.06080.12160.18240.24320.3040.270.260.260.250.250.250.240.240.230.210.210.190.170.130.13

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 7642EPYC 7662EPYC 7742EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1326395265SE +/- 0.16, N = 5SE +/- 0.44, N = 5SE +/- 0.47, N = 15SE +/- 0.05, N = 5SE +/- 0.48, N = 5SE +/- 0.05, N = 5SE +/- 0.03, N = 5SE +/- 0.54, N = 5SE +/- 0.05, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 359.5958.6457.4056.9855.9954.9254.0753.5248.3347.1741.5239.6531.3927.1623.111. (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 7542EPYC 7502PEPYC 7282EPYC 7552EPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7532EPYC 7302PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.10580.21160.31740.42320.5290.470.470.450.430.420.410.410.400.400.400.400.350.310.260.24

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P510152025SE +/- 0.301, N = 15SE +/- 0.158, N = 15SE +/- 0.257, N = 15SE +/- 0.291, N = 15SE +/- 0.286, N = 15SE +/- 0.252, N = 15SE +/- 0.178, N = 15SE +/- 0.286, N = 15SE +/- 0.089, N = 15SE +/- 0.028, N = 11SE +/- 0.024, N = 10SE +/- 0.026, N = 10SE +/- 0.008, N = 9SE +/- 0.003, N = 9SE +/- 0.002, N = 821.76321.32019.99719.32818.50616.56416.26515.68514.03811.52110.3749.6857.5826.4705.2371. (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 7662EPYC 7742EPYC 7542EPYC 7552EPYC 7642EPYC 7502PEPYC 7702EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.06530.13060.19590.26120.32650.290.270.260.260.250.250.250.230.220.180.180.150.140.110.10

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P612182430SE +/- 0.042, N = 3SE +/- 0.056, N = 3SE +/- 0.024, N = 3SE +/- 0.029, N = 3SE +/- 0.112, N = 3SE +/- 0.062, N = 3SE +/- 0.059, N = 3SE +/- 0.016, N = 3SE +/- 0.010, N = 3SE +/- 0.053, N = 3SE +/- 0.009, N = 3SE +/- 0.021, N = 3SE +/- 0.023, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 326.28125.20624.81822.44222.04618.15617.61417.52514.90711.75710.6029.8897.7376.7055.4061. (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 7662EPYC 7742EPYC 7552EPYC 7702EPYC 7502PEPYC 7642EPYC 7542EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F520.03150.0630.09450.1260.15750.140.130.130.130.120.110.110.100.100.100.090.080.070.060.06

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7702EPYC 7742EPYC 7662EPYC 7642EPYC 7552EPYC 7F52EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P6001200180024003000SE +/- 14.38, N = 3SE +/- 29.59, N = 9SE +/- 41.44, N = 9SE +/- 26.91, N = 3SE +/- 27.18, N = 3SE +/- 31.35, N = 9SE +/- 22.27, N = 9SE +/- 20.09, N = 3SE +/- 23.71, N = 9SE +/- 20.26, N = 3SE +/- 13.76, N = 9SE +/- 22.57, N = 9SE +/- 3.71, N = 3SE +/- 7.54, N = 3SE +/- 4.36, N = 326992623237622031969175817351666155915211253105210429467471. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7702EPYC 7662EPYC 7742EPYC 7642EPYC 7552EPYC 7502PEPYC 7532EPYC 7302PEPYC 7402PEPYC 7282EPYC 7542EPYC 7272EPYC 7232PEPYC 7F32EPYC 7F524812162014.9514.5814.4612.8612.8211.3711.3311.2911.2611.0910.8310.339.448.988.60

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7702EPYC 7742EPYC 7662EPYC 7642EPYC 7552EPYC 7532EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P6001200180024003000SE +/- 26.03, N = 3SE +/- 28.78, N = 9SE +/- 29.49, N = 9SE +/- 37.70, N = 9SE +/- 31.31, N = 9SE +/- 20.90, N = 3SE +/- 17.43, N = 5SE +/- 9.84, N = 3SE +/- 14.82, N = 9SE +/- 5.90, N = 3SE +/- 12.27, N = 9SE +/- 16.37, N = 9SE +/- 11.49, N = 9SE +/- 11.79, N = 9SE +/- 8.88, N = 326862656240823111927176916991617153914391233110410519256811. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7702EPYC 7662EPYC 7742EPYC 7642EPYC 7552EPYC 7532EPYC 7502PEPYC 7282EPYC 7302PEPYC 7402PEPYC 7542EPYC 7272EPYC 7F32EPYC 7232PEPYC 7F524812162015.0614.7514.7413.4112.5511.2611.0911.0610.9710.5610.3010.058.988.618.39

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7F32EPYC 7F52EPYC 7742EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7662EPYC 7302PEPYC 7552EPYC 7272EPYC 7282EPYC 7532EPYC 7232PEPYC 7642918273645SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.19, N = 338.5938.0134.7334.5034.3834.1134.0334.0133.7133.6433.1233.0833.0632.4832.311. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7272EPYC 7232PEPYC 7282EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7F32EPYC 7552EPYC 7742EPYC 7532EPYC 7662EPYC 7642EPYC 7F52EPYC 77020.13950.2790.41850.5580.69750.620.620.610.550.550.550.550.530.470.410.410.410.400.400.40

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7532EPYC 7552EPYC 7542EPYC 7502PEPYC 7F32EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F52EPYC 7232P3K6K9K12K15KSE +/- 138.93, N = 7SE +/- 146.93, N = 12SE +/- 142.13, N = 3SE +/- 58.13, N = 4SE +/- 43.36, N = 4SE +/- 60.62, N = 4SE +/- 157.59, N = 4SE +/- 131.70, N = 5SE +/- 12.34, N = 6SE +/- 9.05, N = 6SE +/- 8.39, N = 6SE +/- 15.52, N = 6SE +/- 38.61, N = 6SE +/- 40.17, N = 6SE +/- 11.79, N = 614778.6414612.2114603.3314015.6613938.2513435.3013099.6212840.648720.888024.377954.156954.806871.936839.176757.991. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7282EPYC 7552EPYC 7232PEPYC 7272EPYC 7F32EPYC 7532EPYC 7642EPYC 7662EPYC 7742EPYC 7702EPYC 7F52306090120150125.40123.94122.94122.19119.53118.64117.45116.78114.72113.53109.4895.6293.9191.6469.83

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, 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 = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.777.217.046.196.135.034.654.543.833.272.682.531.981.681.38MIN: 7.58 / MAX: 8.26MIN: 7.03 / MAX: 7.62MIN: 6.88 / MAX: 7.39MIN: 6.04 / MAX: 6.75MIN: 5.97 / MAX: 6.57MIN: 4.8 / MAX: 5.35MIN: 4.49 / MAX: 5.07MIN: 4.38 / MAX: 4.8MIN: 3.74 / MAX: 4.01MIN: 3.18 / MAX: 3.41MIN: 2.58 / MAX: 2.77MIN: 2.46 / MAX: 2.62MIN: 1.91 / MAX: 2.03MIN: 1.61 / MAX: 1.72MIN: 1.34 / MAX: 1.42

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7742EPYC 7662EPYC 7552EPYC 7702EPYC 7642EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7302PEPYC 7F32EPYC 7F520.0090.0180.0270.0360.0450.040.040.040.040.030.030.030.030.030.030.020.020.020.010.01

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 38.647.927.826.816.755.545.044.924.173.572.912.742.141.841.50MIN: 8.32 / MAX: 8.76MIN: 7.72 / MAX: 8.01MIN: 7.53 / MAX: 7.98MIN: 6.61 / MAX: 6.89MIN: 6.64 / MAX: 6.79MIN: 5.5 / MAX: 5.57MIN: 4.94 / MAX: 5.12MIN: 4.81 / MAX: 5.05MIN: 4.11 / MAX: 4.26MIN: 3.48 / MAX: 3.63MIN: 2.88 / MAX: 2.96MIN: 2.69 / MAX: 2.78MIN: 2.08 / MAX: 2.17MIN: 1.81 / MAX: 1.92MIN: 1.48 / MAX: 1.54

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7742EPYC 7642EPYC 7662EPYC 7552EPYC 7702EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7302PEPYC 7F320.0090.0180.0270.0360.0450.040.040.040.040.040.030.030.030.030.030.020.020.020.020.01

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7F52EPYC 7F32EPYC 7742EPYC 7402PEPYC 7542EPYC 7502PEPYC 7702EPYC 7552EPYC 7662EPYC 7232PEPYC 7642EPYC 7532EPYC 7302PEPYC 7282EPYC 72721224364860SE +/- 0.01, N = 3SE +/- 0.35, N = 3SE +/- 0.31, N = 13SE +/- 0.55, N = 4SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.42, N = 7SE +/- 0.65, N = 3SE +/- 0.31, N = 3SE +/- 0.43, N = 3SE +/- 0.56, N = 3SE +/- 0.37, N = 3SE +/- 0.53, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 352.8252.7946.2045.9845.9045.7745.6945.3845.1944.9344.8444.6944.5344.3843.231. (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 7F32EPYC 7742EPYC 7502PEPYC 7542EPYC 7402PEPYC 7302PEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7532EPYC 7282EPYC 7272EPYC 7F52EPYC 7232P2K4K6K8K10KSE +/- 34.53, N = 3SE +/- 16.13, N = 13SE +/- 14.46, N = 3SE +/- 29.33, N = 3SE +/- 36.01, N = 4SE +/- 93.14, N = 3SE +/- 44.06, N = 3SE +/- 18.64, N = 7SE +/- 54.81, N = 3SE +/- 27.58, N = 3SE +/- 43.54, N = 3SE +/- 66.67, N = 3SE +/- 29.05, N = 3SE +/- 89.78, N = 3SE +/- 44.49, N = 310567.210233.110232.810222.410209.310172.710170.710162.010159.710123.010118.010112.210101.010099.610063.01. (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 7232PEPYC 7272EPYC 7282EPYC 7402PEPYC 7542EPYC 7502PEPYC 7302PEPYC 7F32EPYC 7552EPYC 7642EPYC 7742EPYC 7662EPYC 7532EPYC 7702EPYC 7F5250100150200250233.97232.15227.31199.84199.63198.84198.83188.33166.50147.53145.09143.59141.26139.07134.23

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7F52EPYC 7F32EPYC 7542EPYC 7402PEPYC 7742EPYC 7662EPYC 7502PEPYC 7702EPYC 7552EPYC 7302PEPYC 7642EPYC 7532EPYC 7232PEPYC 7272EPYC 72821224364860SE +/- 0.42, N = 3SE +/- 0.36, N = 15SE +/- 0.28, N = 3SE +/- 0.34, N = 3SE +/- 0.51, N = 4SE +/- 0.42, N = 3SE +/- 0.39, N = 3SE +/- 0.30, N = 14SE +/- 0.48, N = 5SE +/- 0.42, N = 3SE +/- 0.30, N = 3SE +/- 0.02, N = 3SE +/- 0.44, N = 5SE +/- 0.61, N = 3SE +/- 0.13, N = 352.0251.9545.1345.0945.0344.8044.6844.5444.4943.9843.8643.6943.1742.9442.251. (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 7F32EPYC 7542EPYC 7402PEPYC 7742EPYC 7662EPYC 7642EPYC 7702EPYC 7532EPYC 7502PEPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7F52EPYC 7232P2K4K6K8K10KSE +/- 12.37, N = 15SE +/- 71.90, N = 3SE +/- 36.49, N = 3SE +/- 34.36, N = 4SE +/- 42.91, N = 3SE +/- 69.66, N = 3SE +/- 25.22, N = 14SE +/- 51.28, N = 3SE +/- 31.02, N = 3SE +/- 28.28, N = 5SE +/- 35.59, N = 3SE +/- 51.98, N = 3SE +/- 37.27, N = 3SE +/- 33.96, N = 3SE +/- 28.32, N = 510561.910292.510256.310249.510249.310229.610219.510188.610184.510156.510132.110110.910070.210068.510057.81. (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 7232PEPYC 7272EPYC 7282EPYC 7542EPYC 7402PEPYC 7302PEPYC 7502PEPYC 7F32EPYC 7552EPYC 7642EPYC 7742EPYC 7662EPYC 7532EPYC 7702EPYC 7F5250100150200250234.32231.30228.69201.45201.08197.87197.68183.94166.46149.30145.49144.64142.36139.63134.54

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 4SE +/- 0.06, N = 4SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 312.7813.7513.8416.3016.6121.3722.6323.0528.1935.9242.3843.7458.2271.5887.191. (CXX) g++ options: -fopenmp -O2 -march=native

MBW

Test: Memory Copy - Array Size: 8192 MiB

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 8192 MiBEPYC 7F32EPYC 7542EPYC 7502PEPYC 7662EPYC 7702EPYC 7742EPYC 7642EPYC 7232PEPYC 7402PEPYC 7532EPYC 7282EPYC 7272EPYC 7302PEPYC 7552EPYC 7F523K6K9K12K15KSE +/- 4.94, N = 3SE +/- 24.53, N = 3SE +/- 83.23, N = 3SE +/- 2.47, N = 3SE +/- 67.71, N = 3SE +/- 38.86, N = 3SE +/- 36.16, N = 3SE +/- 33.58, N = 3SE +/- 93.82, N = 3SE +/- 36.28, N = 3SE +/- 87.56, N = 3SE +/- 85.10, N = 3SE +/- 60.36, N = 3SE +/- 23.45, N = 3SE +/- 1.29, N = 315666.7015641.0915621.6415616.9015599.9015534.9815528.6515523.1415510.9215503.0515482.7415482.7115480.2915459.1614958.191. (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 7232PEPYC 7272EPYC 7282EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7552EPYC 7642EPYC 7662EPYC 7742EPYC 7532EPYC 7702EPYC 7F5270140210280350315.08311.47306.50272.57269.18268.62266.51248.71230.35204.18201.36197.21194.18192.02182.44

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7532EPYC 7642EPYC 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7232PEPYC 7272EPYC 7282EPYC 7F524K8K12K16K20KSE +/- 8.80, N = 3SE +/- 29.81, N = 3SE +/- 5.01, N = 3SE +/- 8.90, N = 3SE +/- 34.52, N = 3SE +/- 68.31, N = 3SE +/- 8.04, N = 3SE +/- 24.99, N = 3SE +/- 5.98, N = 3SE +/- 5.12, N = 3SE +/- 22.39, N = 3SE +/- 10.40, N = 3SE +/- 16.20, N = 3SE +/- 1.40, N = 3SE +/- 66.01, N = 1419645.4019436.3019256.7019245.9019155.4018424.1017351.2017082.4016743.6016649.7016649.5010156.6010066.6010003.606787.061. (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 7302PEPYC 7F32EPYC 7402PEPYC 7542EPYC 7532EPYC 7502PEPYC 7552EPYC 7232PEPYC 7662EPYC 7642EPYC 7702EPYC 7272EPYC 7742EPYC 7282EPYC 7F524080120160200181.39167.09160.96157.73152.28152.21149.38147.34142.84140.60139.02132.41132.02128.3752.66

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.0EPYC 7532EPYC 7642EPYC 7502PEPYC 7662EPYC 7542EPYC 7742EPYC 7552EPYC 7702EPYC 7402PEPYC 7F32EPYC 7302PEPYC 7282EPYC 7232PEPYC 7272EPYC 7F523691215SE +/- 0.016, N = 3SE +/- 0.003, N = 3SE +/- 0.048, N = 3SE +/- 0.018, N = 3SE +/- 0.252, N = 15SE +/- 0.002, N = 3SE +/- 0.271, N = 15SE +/- 0.014, N = 3SE +/- 0.114, N = 3SE +/- 0.062, N = 14SE +/- 0.061, N = 15SE +/- 0.027, N = 3SE +/- 0.071, N = 11SE +/- 0.115, N = 4SE +/- 0.064, N = 37.3387.4797.4937.5427.6257.6848.1428.3758.9789.3579.5049.6109.6509.76810.209MIN: 7.23 / MAX: 7.87MIN: 7.34 / MAX: 8.04MIN: 7.29 / MAX: 9.78MIN: 7.38 / MAX: 8.01MIN: 7.08 / MAX: 14.04MIN: 7.56 / MAX: 8.11MIN: 7.43 / MAX: 13.26MIN: 8.25 / MAX: 8.55MIN: 8.7 / MAX: 10.42MIN: 8.98 / MAX: 23.95MIN: 9.01 / MAX: 25.56MIN: 9.28 / MAX: 25.71MIN: 9.16 / MAX: 25.96MIN: 9.3 / MAX: 12.44MIN: 10.06 / MAX: 11.231. (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: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-50EPYC 7542EPYC 7642EPYC 7502PEPYC 7662EPYC 7532EPYC 7552EPYC 7742EPYC 7702EPYC 7F32EPYC 7402PEPYC 7232PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7272918273645SE +/- 0.05, N = 15SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 15SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 14SE +/- 0.97, N = 3SE +/- 0.12, N = 11SE +/- 0.09, N = 15SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 424.3024.7825.0625.2225.2725.4425.4626.9227.4529.0231.4431.5433.5033.5938.10MIN: 23.72 / MAX: 27.28MIN: 24.46 / MAX: 25.37MIN: 24.51 / MAX: 27.82MIN: 24.73 / MAX: 27.24MIN: 24.96 / MAX: 28.42MIN: 24.73 / MAX: 28.58MIN: 25.03 / MAX: 27.67MIN: 26.49 / MAX: 27.67MIN: 27.01 / MAX: 58.07MIN: 27.23 / MAX: 33.12MIN: 30.44 / MAX: 49.82MIN: 30.05 / MAX: 48.95MIN: 32.85 / MAX: 46.41MIN: 32.54 / MAX: 48.77MIN: 36.85 / MAX: 55.751. (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 7F32EPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7742EPYC 7662EPYC 7232PEPYC 7702EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F52246810SE +/- 0.017, N = 14SE +/- 0.009, N = 15SE +/- 0.028, N = 3SE +/- 0.022, N = 3SE +/- 0.016, N = 3SE +/- 0.008, N = 15SE +/- 0.020, N = 3SE +/- 0.022, N = 3SE +/- 0.030, N = 11SE +/- 0.016, N = 3SE +/- 0.026, N = 3SE +/- 0.046, N = 15SE +/- 0.033, N = 3SE +/- 0.155, N = 4SE +/- 0.391, N = 34.5784.7134.8204.8214.8254.8524.9194.9204.9445.0675.2705.7725.8555.9308.171MIN: 4.43 / MAX: 10.46MIN: 4.51 / MAX: 6.85MIN: 4.67 / MAX: 6.92MIN: 4.72 / MAX: 5.31MIN: 4.71 / MAX: 5.16MIN: 4.69 / MAX: 5.21MIN: 4.81 / MAX: 5.23MIN: 4.78 / MAX: 5.1MIN: 4.74 / MAX: 7.04MIN: 4.95 / MAX: 5.21MIN: 5.12 / MAX: 6.52MIN: 5.46 / MAX: 20.47MIN: 5.58 / MAX: 23.16MIN: 5.53 / MAX: 20.6MIN: 7.28 / MAX: 12.171. (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 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7742EPYC 7702EPYC 7402PEPYC 7F32EPYC 7302PEPYC 7232PEPYC 7282EPYC 7272EPYC 7F521.30012.60023.90035.20046.5005SE +/- 0.005, N = 15SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.004, N = 15SE +/- 0.024, N = 3SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 3SE +/- 0.012, N = 3SE +/- 0.002, N = 14SE +/- 0.005, N = 15SE +/- 0.007, N = 11SE +/- 0.060, N = 3SE +/- 0.015, N = 4SE +/- 0.401, N = 32.8362.9273.0033.0223.0563.0733.1273.1873.2133.6253.8563.9174.0815.3225.778MIN: 2.77 / MAX: 4.94MIN: 2.87 / MAX: 5.27MIN: 2.95 / MAX: 3.25MIN: 2.96 / MAX: 3.4MIN: 2.98 / MAX: 3.31MIN: 3.03 / MAX: 3.22MIN: 3.07 / MAX: 3.45MIN: 3.13 / MAX: 3.28MIN: 3.15 / MAX: 4.81MIN: 3.57 / MAX: 17.34MIN: 3.74 / MAX: 20.71MIN: 3.79 / MAX: 19.86MIN: 3.8 / MAX: 20.13MIN: 5.22 / MAX: 13.18MIN: 4.65 / MAX: 7.241. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7502PEPYC 7402PEPYC 7702EPYC 7642EPYC 7302PEPYC 7532EPYC 7552EPYC 7662EPYC 7282EPYC 7272EPYC 7232P20406080100SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 3SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 380.8580.9492.7793.1793.8693.9294.7695.3995.4595.4895.5395.5698.2498.3198.411. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

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 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7642EPYC 7F32EPYC 7552EPYC 7302PEPYC 7742EPYC 7662EPYC 7282EPYC 7702EPYC 7272EPYC 7232P60120180240300SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 31972142152152172192212232282282392392422502761. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.61321.22641.83962.45283.066SE +/- 0.00033, N = 3SE +/- 0.00014, N = 3SE +/- 0.00053, N = 3SE +/- 0.00034, N = 3SE +/- 0.00037, N = 3SE +/- 0.00071, N = 3SE +/- 0.00041, N = 3SE +/- 0.00074, N = 3SE +/- 0.00125, N = 3SE +/- 0.00173, N = 3SE +/- 0.00048, N = 3SE +/- 0.00125, N = 3SE +/- 0.00045, N = 3SE +/- 0.00063, N = 3SE +/- 0.00080, N = 30.446270.489080.492640.570480.574840.715490.774390.790790.937051.143751.350581.451451.838952.229492.72553

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 12.44, N = 10SE +/- 10.02, N = 10SE +/- 13.78, N = 10SE +/- 6.29, N = 9SE +/- 9.01, N = 9SE +/- 4.60, N = 8SE +/- 3.24, N = 8SE +/- 5.08, N = 8SE +/- 1.48, N = 7SE +/- 0.69, N = 6SE +/- 0.45, N = 6SE +/- 0.78, N = 6SE +/- 0.17, N = 5SE +/- 0.27, N = 4SE +/- 0.60, N = 44195.623967.283908.233310.343252.132375.482368.692318.441806.541407.621191.901155.88867.81704.69578.121. (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 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F32102030405042.5842.5641.1136.2832.4528.1027.2922.6121.0217.4616.0613.7711.8110.529.02

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 12.08, N = 3SE +/- 9.36, N = 3SE +/- 9.06, N = 3SE +/- 8.46, N = 3SE +/- 6.05, N = 3SE +/- 5.63, N = 3SE +/- 4.32, N = 3SE +/- 1.11, N = 3SE +/- 1.11, N = 3SE +/- 0.05, N = 3SE +/- 3.28, N = 3SE +/- 1.25, N = 3SE +/- 7.84, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 34269.264019.093989.793322.993292.842389.762380.272333.541813.291410.591190.481156.26860.01705.21579.181. (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 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3261218243024.1823.4922.8920.6418.0517.2016.6314.3214.0113.4712.2411.079.248.307.56

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7742EPYC 7662EPYC 7702EPYC 7532EPYC 7542EPYC 7502PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7F52EPYC 7232P12K24K36K48K60KSE +/- 93.63, N = 6SE +/- 50.60, N = 5SE +/- 40.27, N = 5SE +/- 17.78, N = 5SE +/- 17.91, N = 5SE +/- 36.50, N = 5SE +/- 19.15, N = 4SE +/- 23.10, N = 4SE +/- 10.84, N = 4SE +/- 44.41, N = 3SE +/- 23.87, N = 356055.8755668.6355136.5049235.9247098.2246206.3337175.2029526.9727284.6922117.1721822.061. (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 7502PEPYC 7542EPYC 7662EPYC 7702EPYC 7742EPYC 7302PEPYC 7532EPYC 7282EPYC 7232PEPYC 7F32EPYC 7F52100200300400500440.80436.08419.28399.60398.20398.01395.37373.22297.55260.77153.51

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P20K40K60K80K100KSE +/- 491.67, N = 3SE +/- 298.03, N = 3SE +/- 34.41, N = 3SE +/- 281.17, N = 3SE +/- 82.31, N = 3SE +/- 26.26, N = 3SE +/- 207.08, N = 3SE +/- 106.91, N = 3SE +/- 81.46, N = 3SE +/- 3.68, N = 3SE +/- 22.56, N = 3SE +/- 82.34, N = 3SE +/- 24.66, N = 3SE +/- 31.62, N = 3SE +/- 12.95, N = 3105428.67103985.91102548.9599557.2395079.4186547.2879644.8878846.9674421.6161041.2749617.9244891.6943321.3843172.5133816.481. (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 7662EPYC 7552EPYC 7542EPYC 7702EPYC 7742EPYC 7502PEPYC 7402PEPYC 7642EPYC 7302PEPYC 7282EPYC 7532EPYC 7272EPYC 7232PEPYC 7F32EPYC 7F52140280420560700660.15655.10638.72629.05617.60616.99607.37602.66593.84573.26572.31529.25486.72419.08297.36

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7742EPYC 7662EPYC 7532EPYC 7702EPYC 7542EPYC 7502PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7232PEPYC 7F52400800120016002000SE +/- 3.31, N = 3SE +/- 11.89, N = 3SE +/- 1.95, N = 3SE +/- 4.04, N = 3SE +/- 5.74, N = 3SE +/- 3.36, N = 3SE +/- 2.26, N = 3SE +/- 1.26, N = 3SE +/- 5.70, N = 3SE +/- 2.89, N = 3SE +/- 9.24, N = 32007.422006.811992.761971.501885.981884.311647.781422.071277.151083.36934.001. (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 7302PEPYC 7282EPYC 7232PEPYC 7542EPYC 7502PEPYC 7F32EPYC 7532EPYC 7662EPYC 7742EPYC 7702EPYC 7F5251015202519.5519.3918.4818.1517.7315.3615.3213.4913.2712.907.29

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7662EPYC 7532EPYC 7702EPYC 7742EPYC 7302PEPYC 7F32EPYC 7542EPYC 7502PEPYC 7232PEPYC 7282EPYC 7F5211K22K33K44K55KSE +/- 122.43, N = 8SE +/- 218.93, N = 8SE +/- 224.56, N = 8SE +/- 292.47, N = 8SE +/- 17.34, N = 8SE +/- 20.16, N = 8SE +/- 86.13, N = 8SE +/- 76.06, N = 8SE +/- 37.32, N = 7SE +/- 23.57, N = 6SE +/- 80.46, N = 552245.2352022.7651795.6151593.6247349.2945336.8944205.8044082.9530311.9429776.8121714.651. (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 7302PEPYC 7F32EPYC 7542EPYC 7502PEPYC 7232PEPYC 7532EPYC 7662EPYC 7702EPYC 7742EPYC 7282EPYC 7F52140280420560700660.02592.89555.62538.87525.61520.26490.40476.11466.23463.71197.31

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7532EPYC 7302PEPYC 7742EPYC 7662EPYC 7702EPYC 7542EPYC 7502PEPYC 7F32EPYC 7232PEPYC 7282EPYC 7F524K8K12K16K20KSE +/- 25.61, N = 5SE +/- 15.81, N = 5SE +/- 12.30, N = 5SE +/- 27.38, N = 5SE +/- 15.75, N = 5SE +/- 30.70, N = 5SE +/- 69.28, N = 5SE +/- 18.04, N = 4SE +/- 22.89, N = 4SE +/- 18.07, N = 4SE +/- 43.06, N = 318019.0115688.5715249.7215230.2315079.0814977.2914759.4012350.879844.959697.837779.491. (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 7302PEPYC 7542EPYC 7532EPYC 7232PEPYC 7502PEPYC 7F32EPYC 7282EPYC 7662EPYC 7702EPYC 7742EPYC 7F524080120160200159.36137.33137.30136.77129.34120.79119.50107.24103.8799.2556.39

Ngspice

Circuit: C2670

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670EPYC 7F52EPYC 7F32EPYC 7542EPYC 7552EPYC 7742EPYC 7662EPYC 7502PEPYC 7272EPYC 7532EPYC 7642EPYC 7702EPYC 7282EPYC 7232P50100150200250SE +/- 2.33, N = 9SE +/- 1.05, N = 3SE +/- 1.90, N = 3SE +/- 1.89, N = 3SE +/- 2.27, N = 3SE +/- 1.33, N = 3SE +/- 1.93, N = 5SE +/- 1.59, N = 3SE +/- 1.85, N = 3SE +/- 2.10, N = 4SE +/- 1.88, N = 4SE +/- 1.23, N = 3SE +/- 2.54, N = 3151.46158.79165.66170.22171.84172.37173.90174.20175.85176.53177.62183.22211.491. (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 7F32EPYC 7F52EPYC 7502PEPYC 7542EPYC 7552EPYC 7532EPYC 7702EPYC 7742EPYC 7282EPYC 7662EPYC 7272EPYC 7642EPYC 7232P50100150200250SE +/- 1.27, N = 12SE +/- 2.04, N = 12SE +/- 1.66, N = 3SE +/- 1.31, N = 12SE +/- 1.35, N = 3SE +/- 1.09, N = 12SE +/- 1.19, N = 3SE +/- 1.41, N = 3SE +/- 1.05, N = 3SE +/- 1.10, N = 3SE +/- 1.75, N = 3SE +/- 4.09, N = 12SE +/- 2.36, N = 3119.44122.44128.92130.09131.53132.04132.62132.94135.68136.87137.59160.82212.891. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointEPYC 7F52EPYC 7742EPYC 7502PEPYC 7542EPYC 7702EPYC 7662EPYC 7532EPYC 7642EPYC 7552EPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P1020304050SE +/- 0.20, N = 3SE +/- 0.40, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.26, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 3SE +/- 0.48, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 329.4532.6232.6532.8733.2733.4133.4333.6033.9634.3134.8435.6736.3538.0745.21

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianEPYC 7F52EPYC 7742EPYC 7542EPYC 7702EPYC 7662EPYC 7502PEPYC 7552EPYC 7642EPYC 7402PEPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.016, N = 6SE +/- 0.030, N = 6SE +/- 0.016, N = 6SE +/- 0.029, N = 6SE +/- 0.038, N = 6SE +/- 0.020, N = 6SE +/- 0.025, N = 6SE +/- 0.036, N = 6SE +/- 0.041, N = 6SE +/- 0.044, N = 6SE +/- 0.018, N = 6SE +/- 0.033, N = 6SE +/- 0.043, N = 5SE +/- 0.034, N = 5SE +/- 0.047, N = 46.5866.8246.9006.9306.9716.9897.0337.0637.1217.2207.6458.1058.7989.79011.912

Numenta Anomaly Benchmark

Detector: Relative Entropy

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyEPYC 7F52EPYC 7742EPYC 7542EPYC 7502PEPYC 7642EPYC 7702EPYC 7662EPYC 7552EPYC 7402PEPYC 7532EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P612182430SE +/- 0.08, N = 4SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.15, N = 4SE +/- 0.13, N = 4SE +/- 0.03, N = 4SE +/- 0.10, N = 4SE +/- 0.08, N = 4SE +/- 0.05, N = 4SE +/- 0.08, N = 4SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 314.6015.5715.7215.8515.8915.9415.9715.9716.1216.3317.1818.1018.8819.1123.56

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineEPYC 7F52EPYC 7742EPYC 7542EPYC 7662EPYC 7702EPYC 7642EPYC 7502PEPYC 7402PEPYC 7552EPYC 7532EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P306090120150SE +/- 0.59, N = 3SE +/- 0.27, N = 3SE +/- 0.80, N = 3SE +/- 0.45, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.60, N = 3SE +/- 0.58, N = 3SE +/- 1.10, N = 3SE +/- 0.65, N = 3SE +/- 0.45, N = 3SE +/- 1.07, N = 3SE +/- 0.92, N = 7SE +/- 0.64, N = 3SE +/- 1.44, N = 375.2383.4083.8384.7984.8385.0385.7385.7686.0686.7088.3296.8598.52101.59141.25

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7742EPYC 7402PEPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7662EPYC 7302PEPYC 7272EPYC 7282EPYC 7232P80160240320400SE +/- 0.20, N = 3SE +/- 0.65, N = 3SE +/- 0.40, N = 3SE +/- 0.31, N = 3SE +/- 0.66, N = 3SE +/- 0.30, N = 3SE +/- 0.70, N = 3SE +/- 0.24, N = 3SE +/- 0.35, N = 3SE +/- 0.48, N = 3SE +/- 0.41, N = 3SE +/- 1.35, N = 3SE +/- 0.30, N = 3SE +/- 0.76, N = 3SE +/- 0.53, N = 3348.66345.36311.97309.10308.39307.47306.50303.75303.45303.33303.21301.28298.27296.96270.83

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 7272EPYC 7282EPYC 7232PEPYC 7542EPYC 7F32EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7662EPYC 77022468106.826.726.256.056.035.985.965.854.974.564.464.334.234.224.18

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 72722K4K6K8K10K2123.12220.72247.02648.52716.73653.63653.93678.84709.55684.66676.47056.08844.11. (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

OCRMyPDF

Processing 60 Page PDF Document

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC 7742EPYC 7542EPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7502PEPYC 7F52EPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P816243240SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 318.1418.6618.7318.7918.8619.0919.3819.8619.9420.8723.3924.2326.9027.2033.02

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 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7532EPYC 7552EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P246810SE +/- 0.002278, N = 7SE +/- 0.002146, N = 7SE +/- 0.002719, N = 7SE +/- 0.002747, N = 7SE +/- 0.001701, N = 7SE +/- 0.003838, N = 7SE +/- 0.002179, N = 7SE +/- 0.011195, N = 7SE +/- 0.008223, N = 7SE +/- 0.005689, N = 7SE +/- 0.006442, N = 7SE +/- 0.007190, N = 7SE +/- 0.008434, N = 7SE +/- 0.005350, N = 7SE +/- 0.004801, N = 70.9559770.9937321.0784401.1080501.4837401.7196702.0018303.4617403.4623603.5434703.7064004.3013005.8645805.9534806.376680MIN: 1.28MIN: 1.63MIN: 1.91MIN: 3.38MIN: 3.38MIN: 3.47MIN: 3.6MIN: 4.22MIN: 5.63MIN: 5.82MIN: 6.271. (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 7662EPYC 7742EPYC 7642EPYC 7702EPYC 7532EPYC 7552EPYC 7502PEPYC 7542EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.01107, N = 7SE +/- 0.01095, N = 7SE +/- 0.00965, N = 7SE +/- 0.00551, N = 7SE +/- 0.01167, N = 7SE +/- 0.00723, N = 7SE +/- 0.01750, N = 7SE +/- 0.00813, N = 7SE +/- 0.00525, N = 7SE +/- 0.00742, N = 7SE +/- 0.03193, N = 7SE +/- 0.03514, N = 7SE +/- 0.00984, N = 7SE +/- 0.04127, N = 7SE +/- 0.04608, N = 73.504123.531163.543163.558923.612683.840183.970433.976994.251115.454006.762426.915617.605059.1512410.95820MIN: 3.39MIN: 3.44MIN: 3.43MIN: 3.47MIN: 3.49MIN: 3.75MIN: 3.86MIN: 3.87MIN: 4.06MIN: 5.12MIN: 6.41MIN: 6.67MIN: 7.15MIN: 8.56MIN: 10.241. (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 7642EPYC 7662EPYC 7542EPYC 7742EPYC 7552EPYC 7502PEPYC 7532EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.02012, N = 3SE +/- 0.01627, N = 15SE +/- 0.00152, N = 3SE +/- 0.02021, N = 3SE +/- 0.01668, N = 15SE +/- 0.01343, N = 3SE +/- 0.01295, N = 3SE +/- 0.00813, N = 3SE +/- 0.00832, N = 3SE +/- 0.00961, N = 3SE +/- 0.01740, N = 3SE +/- 0.01071, N = 3SE +/- 0.00923, N = 3SE +/- 0.06606, N = 3SE +/- 0.02020, N = 31.987262.022312.048662.068842.157942.197272.222422.335192.489772.757433.283773.501754.440775.032366.12261MIN: 1.87MIN: 1.84MIN: 1.99MIN: 1.89MIN: 1.99MIN: 2.12MIN: 2.06MIN: 2.08MIN: 2.4MIN: 2.63MIN: 3.08MIN: 3.1MIN: 4.2MIN: 4.86MIN: 5.931. (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 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7272EPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7232P246810SE +/- 0.00691, N = 3SE +/- 0.00798, N = 3SE +/- 0.00645, N = 3SE +/- 0.00608, N = 3SE +/- 0.00201, N = 3SE +/- 0.00531, N = 3SE +/- 0.00464, N = 3SE +/- 0.00309, N = 3SE +/- 0.00535, N = 3SE +/- 0.02104, N = 3SE +/- 0.02587, N = 3SE +/- 0.00946, N = 3SE +/- 0.02527, N = 3SE +/- 0.00611, N = 3SE +/- 0.02294, N = 31.790651.798741.888421.930421.997072.069832.151942.205435.253315.496055.922046.034976.063337.237638.67154MIN: 1.71MIN: 1.69MIN: 1.8MIN: 1.82MIN: 1.91MIN: 2MIN: 2.02MIN: 2.05MIN: 5.07MIN: 5.32MIN: 5.79MIN: 5.92MIN: 5.87MIN: 7.01MIN: 8.411. (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 7642EPYC 7662EPYC 7552EPYC 7742EPYC 7702EPYC 7402PEPYC 7542EPYC 7532EPYC 7502PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.01930, N = 15SE +/- 0.02912, N = 15SE +/- 0.00950, N = 9SE +/- 0.02450, N = 15SE +/- 0.03302, N = 15SE +/- 0.00636, N = 9SE +/- 0.00582, N = 9SE +/- 0.00881, N = 9SE +/- 0.00414, N = 9SE +/- 0.00511, N = 9SE +/- 0.00474, N = 9SE +/- 0.00482, N = 9SE +/- 0.00724, N = 9SE +/- 0.00118, N = 9SE +/- 0.00735, N = 92.403802.523632.553352.607642.820153.346333.441183.601303.688333.927374.726085.083286.291356.463988.27184MIN: 2.23MIN: 2.25MIN: 2.41MIN: 2.34MIN: 2.49MIN: 3.15MIN: 3.03MIN: 3.22MIN: 3.26MIN: 3.81MIN: 4.52MIN: 4.73MIN: 6.07MIN: 6.38MIN: 81. (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 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.00429, N = 9SE +/- 0.00834, N = 9SE +/- 0.00637, N = 9SE +/- 0.00625, N = 9SE +/- 0.00157, N = 9SE +/- 0.00215, N = 9SE +/- 0.00338, N = 9SE +/- 0.00104, N = 9SE +/- 0.00168, N = 9SE +/- 0.00628, N = 9SE +/- 0.00304, N = 9SE +/- 0.00324, N = 9SE +/- 0.00336, N = 9SE +/- 0.00176, N = 9SE +/- 0.00235, N = 91.396601.431241.494461.539151.554941.896241.948451.988092.383063.028973.346633.452904.527585.582606.79445MIN: 1.27MIN: 1.26MIN: 1.36MIN: 1.37MIN: 1.42MIN: 1.77MIN: 1.82MIN: 1.83MIN: 2.33MIN: 2.92MIN: 3.25MIN: 3.34MIN: 4.47MIN: 5.52MIN: 6.751. (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 7642EPYC 7542EPYC 7662EPYC 7742EPYC 7502PEPYC 7552EPYC 7532EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P1.06622.13243.19864.26485.331SE +/- 0.00906, N = 4SE +/- 0.00341, N = 4SE +/- 0.01406, N = 4SE +/- 0.01153, N = 10SE +/- 0.00185, N = 4SE +/- 0.00439, N = 4SE +/- 0.00891, N = 4SE +/- 0.00178, N = 4SE +/- 0.00090, N = 4SE +/- 0.01053, N = 4SE +/- 0.00144, N = 4SE +/- 0.00488, N = 4SE +/- 0.00382, N = 4SE +/- 0.00316, N = 4SE +/- 0.00331, N = 41.467751.472221.489811.515281.593001.599381.615021.703601.829511.980352.410823.446683.560203.809554.73866MIN: 1.39MIN: 1.41MIN: 1.33MIN: 1.35MIN: 1.51MIN: 1.51MIN: 1.5MIN: 1.48MIN: 1.74MIN: 1.86MIN: 2.2MIN: 2.92MIN: 3.44MIN: 3.44MIN: 4.551. (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 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7532EPYC 7552EPYC 7F52EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.01221, N = 5SE +/- 0.00213, N = 5SE +/- 0.00630, N = 5SE +/- 0.01041, N = 5SE +/- 0.00475, N = 5SE +/- 0.00795, N = 5SE +/- 0.01324, N = 5SE +/- 0.00208, N = 5SE +/- 0.00256, N = 5SE +/- 0.00471, N = 5SE +/- 0.01609, N = 5SE +/- 0.00189, N = 5SE +/- 0.00853, N = 5SE +/- 0.00869, N = 5SE +/- 0.01715, N = 51.125021.148281.159431.220111.251542.286112.778262.958302.962833.763954.133824.472874.975126.682097.15030MIN: 1.2MIN: 2.2MIN: 2.68MIN: 2.88MIN: 2.89MIN: 3.68MIN: 3.91MIN: 4.3MIN: 4.75MIN: 6.52MIN: 6.451. (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 7642EPYC 7542EPYC 7662EPYC 7552EPYC 7742EPYC 7502PEPYC 7532EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.45410.90821.36231.81642.2705SE +/- 0.003528, N = 4SE +/- 0.000738, N = 4SE +/- 0.005359, N = 5SE +/- 0.004962, N = 15SE +/- 0.002953, N = 4SE +/- 0.000902, N = 4SE +/- 0.005528, N = 6SE +/- 0.002887, N = 4SE +/- 0.000660, N = 4SE +/- 0.001140, N = 4SE +/- 0.000863, N = 4SE +/- 0.000258, N = 4SE +/- 0.000447, N = 4SE +/- 0.001580, N = 4SE +/- 0.005714, N = 40.4842190.5005210.5170230.5339610.5369160.5376360.5534440.5874430.5923080.6604190.8022720.8757491.0934401.1601702.018380MIN: 0.46MIN: 0.48MIN: 0.47MIN: 0.49MIN: 0.49MIN: 0.51MIN: 0.49MIN: 0.54MIN: 0.56MIN: 0.62MIN: 0.72MIN: 0.74MIN: 0.96MIN: 1.13MIN: 1.951. (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 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.80631.61262.41893.22524.0315SE +/- 0.005312, N = 4SE +/- 0.000537, N = 4SE +/- 0.002127, N = 4SE +/- 0.001659, N = 4SE +/- 0.000788, N = 4SE +/- 0.005244, N = 4SE +/- 0.003967, N = 4SE +/- 0.001948, N = 4SE +/- 0.009261, N = 15SE +/- 0.001361, N = 4SE +/- 0.001219, N = 4SE +/- 0.001269, N = 4SE +/- 0.001298, N = 4SE +/- 0.000640, N = 4SE +/- 0.001594, N = 40.7505190.7808030.8006430.8631460.8680241.0158201.0739901.1048601.2959901.5650301.8417801.9130502.4937203.0129203.583630MIN: 0.71MIN: 0.7MIN: 0.76MIN: 0.77MIN: 0.81MIN: 0.98MIN: 0.98MIN: 0.99MIN: 1.25MIN: 1.54MIN: 1.82MIN: 1.87MIN: 2.45MIN: 2.73MIN: 3.541. (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 7642EPYC 7552EPYC 7402PEPYC 7F52EPYC 7532EPYC 7662EPYC 7742EPYC 7702EPYC 7302PEPYC 7542EPYC 7502PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 0.57, N = 3SE +/- 1.32, N = 3SE +/- 0.54, N = 3SE +/- 2.05, N = 3SE +/- 2.63, N = 3SE +/- 8.27, N = 3SE +/- 22.03, N = 6SE +/- 5.75, N = 3SE +/- 2.99, N = 3SE +/- 1.42, N = 3SE +/- 5.60, N = 3SE +/- 1.43, N = 3SE +/- 1.59, N = 3SE +/- 0.86, N = 3SE +/- 5.10, N = 31213.581350.551672.242013.752214.792221.332283.912306.332412.792718.682738.422836.683056.053345.104345.12MIN: 1190.99MIN: 1331.05MIN: 1658.48MIN: 1995.38MIN: 2191.84MIN: 2189.19MIN: 2224.95MIN: 2274.33MIN: 2397.68MIN: 2705.41MIN: 2722.76MIN: 2798.53MIN: 3041.35MIN: 3322.56MIN: 4298.141. (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 7642EPYC 7552EPYC 7402PEPYC 7F52EPYC 7662EPYC 7532EPYC 7742EPYC 7702EPYC 7302PEPYC 7542EPYC 7502PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 2.03, N = 3SE +/- 1.92, N = 3SE +/- 1.08, N = 3SE +/- 6.65, N = 3SE +/- 11.35, N = 3SE +/- 5.23, N = 3SE +/- 18.38, N = 9SE +/- 3.86, N = 3SE +/- 0.38, N = 3SE +/- 2.43, N = 3SE +/- 2.18, N = 3SE +/- 2.25, N = 3SE +/- 3.17, N = 3SE +/- 0.89, N = 3SE +/- 1.97, N = 31210.041352.621674.662013.242230.182230.352263.322296.532410.232721.872743.712834.093057.083345.674347.66MIN: 1190.59MIN: 1333.53MIN: 1660.31MIN: 1992.69MIN: 2194.78MIN: 2212.66MIN: 2218.68MIN: 2270.01MIN: 2395.31MIN: 2708.11MIN: 2727.14MIN: 2799.34MIN: 3044.36MIN: 3327MIN: 4308.621. (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 7642EPYC 7552EPYC 7402PEPYC 7F52EPYC 7662EPYC 7532EPYC 7742EPYC 7702EPYC 7302PEPYC 7542EPYC 7502PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 3.66, N = 3SE +/- 1.28, N = 3SE +/- 0.94, N = 3SE +/- 0.63, N = 3SE +/- 0.34, N = 3SE +/- 5.96, N = 3SE +/- 6.65, N = 3SE +/- 9.75, N = 3SE +/- 3.71, N = 3SE +/- 2.51, N = 3SE +/- 4.79, N = 3SE +/- 1.77, N = 3SE +/- 0.81, N = 3SE +/- 2.55, N = 3SE +/- 4.35, N = 31211.541350.131673.311997.392203.162221.372251.632314.362407.932716.542740.522835.353059.193348.064348.88MIN: 1187.15MIN: 1333.75MIN: 1660.31MIN: 1989.1MIN: 2183.71MIN: 2198.48MIN: 2223.61MIN: 2276.78MIN: 2392.45MIN: 2705.25MIN: 2722.51MIN: 2800.15MIN: 3051.11MIN: 3331.21MIN: 4311.941. (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 7642EPYC 7552EPYC 7662EPYC 7742EPYC 7532EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5001000150020002500SE +/- 1.28, N = 3SE +/- 2.70, N = 3SE +/- 1.17, N = 3SE +/- 1.15, N = 3SE +/- 1.51, N = 3SE +/- 3.54, N = 3SE +/- 4.31, N = 3SE +/- 5.72, N = 3SE +/- 0.91, N = 3SE +/- 1.61, N = 3SE +/- 0.19, N = 3SE +/- 0.51, N = 3SE +/- 3.12, N = 3SE +/- 2.69, N = 3SE +/- 2.26, N = 3732.81787.43793.20811.00813.12874.44890.48902.26972.93997.851229.691745.541882.642022.452397.56MIN: 712.9MIN: 769.99MIN: 776.66MIN: 788.26MIN: 799.88MIN: 847.07MIN: 867.03MIN: 882.8MIN: 960.02MIN: 987.15MIN: 1221.64MIN: 1733.89MIN: 1853.21MIN: 2012.67MIN: 2367.091. (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 7642EPYC 7552EPYC 7662EPYC 7742EPYC 7532EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5001000150020002500SE +/- 3.28, N = 3SE +/- 2.09, N = 3SE +/- 1.88, N = 3SE +/- 5.32, N = 3SE +/- 1.32, N = 3SE +/- 2.81, N = 3SE +/- 1.35, N = 3SE +/- 2.58, N = 3SE +/- 1.57, N = 3SE +/- 3.97, N = 3SE +/- 0.54, N = 3SE +/- 0.95, N = 3SE +/- 5.33, N = 3SE +/- 4.61, N = 3SE +/- 3.61, N = 3734.40784.82793.23808.62812.99878.20886.88919.61974.12998.671227.561742.791886.302032.882397.22MIN: 716.82MIN: 771.05MIN: 777.03MIN: 785.04MIN: 799.51MIN: 851.72MIN: 865.5MIN: 906.32MIN: 962.55MIN: 987.09MIN: 1218.44MIN: 1728.82MIN: 1851.55MIN: 2016.92MIN: 2370.411. (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 7642EPYC 7552EPYC 7662EPYC 7742EPYC 7532EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5001000150020002500SE +/- 2.51, N = 3SE +/- 1.66, N = 3SE +/- 0.96, N = 3SE +/- 5.74, N = 3SE +/- 2.11, N = 3SE +/- 3.99, N = 3SE +/- 1.82, N = 3SE +/- 5.94, N = 3SE +/- 0.65, N = 3SE +/- 0.99, N = 3SE +/- 1.03, N = 3SE +/- 2.16, N = 3SE +/- 4.32, N = 3SE +/- 1.28, N = 3SE +/- 4.09, N = 3735.82782.65792.55810.18814.03875.71888.54917.61972.77999.141228.501744.751884.702029.282398.98MIN: 715.63MIN: 769.36MIN: 773.96MIN: 783.06MIN: 801.22MIN: 846.67MIN: 872.96MIN: 892.04MIN: 962.66MIN: 991.16MIN: 1219.05MIN: 1731.94MIN: 1853.9MIN: 2020.38MIN: 2367.551. (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 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7532EPYC 7282EPYC 7552EPYC 7642EPYC 7F32EPYC 7272EPYC 7F52EPYC 7742EPYC 7662EPYC 7232PEPYC 770260120180240300SE +/- 0.67, N = 3SE +/- 0.17, N = 3SE +/- 0.88, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.33, N = 3SE +/- 0.50, N = 3SE +/- 1.01, N = 3SE +/- 1.00, N = 3SE +/- 0.29, N = 3SE +/- 0.88, N = 3SE +/- 0.93, N = 3SE +/- 0.60, N = 3SE +/- 1.30, N = 32852802772772712672642632622592482462432432401. (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 7232PEPYC 7282EPYC 7272EPYC 7302PEPYC 7402PEPYC 7542EPYC 7F32EPYC 7502PEPYC 7552EPYC 7532EPYC 7642EPYC 7F52EPYC 7742EPYC 7662EPYC 77020.76951.5392.30853.0783.84753.423.283.262.952.602.572.552.492.011.981.751.711.581.581.55

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 7642EPYC 7532EPYC 7662EPYC 7552EPYC 7282EPYC 7742EPYC 7702EPYC 7402PEPYC 7272EPYC 7542EPYC 7F52EPYC 7302PEPYC 7502PEPYC 7F32EPYC 7232P20406080100SE +/- 0.17, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 1.04, N = 3SE +/- 0.29, N = 3SE +/- 0.78, N = 5SE +/- 0.44, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.58, N = 3SE +/- 0.60, N = 3SE +/- 0.67, N = 3SE +/- 0.53, N = 12SE +/- 0.67, N = 3SE +/- 0.00, N = 38079797977767472706969696459591. (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 7282EPYC 7272EPYC 7232PEPYC 7552EPYC 7302PEPYC 7402PEPYC 7542EPYC 7642EPYC 7502PEPYC 7702EPYC 7742EPYC 7532EPYC 7662EPYC 7F32EPYC 7F520.18450.3690.55350.7380.92250.820.760.680.670.660.610.600.580.580.570.560.550.550.460.39

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 7F32EPYC 7F52EPYC 7302PEPYC 7232PEPYC 7402PEPYC 7272EPYC 7542EPYC 7282EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7742EPYC 77022K4K6K8K10KSE +/- 45.76, N = 3SE +/- 112.30, N = 4SE +/- 1.83, N = 3SE +/- 15.37, N = 3SE +/- 18.32, N = 3SE +/- 2.92, N = 3SE +/- 29.60, N = 3SE +/- 45.05, N = 3SE +/- 63.96, N = 12SE +/- 105.59, N = 12SE +/- 70.17, N = 12SE +/- 73.86, N = 12SE +/- 46.88, N = 3SE +/- 66.14, N = 6SE +/- 53.19, N = 129823934889758836881087218698861184218070737372216686652764781. (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 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7742EPYC 77024080120160200172.02154.91142.11135.13129.62108.45101.8996.9282.0974.7268.5559.4250.6750.1446.15

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 7F52EPYC 7542EPYC 7402PEPYC 7532EPYC 7502PEPYC 7552EPYC 7302PEPYC 7F32EPYC 7642EPYC 7742EPYC 7662EPYC 7702EPYC 7282EPYC 7272EPYC 7232P11002200330044005500SE +/- 88.35, N = 12SE +/- 67.46, N = 11SE +/- 71.97, N = 12SE +/- 35.49, N = 11SE +/- 62.74, N = 3SE +/- 27.98, N = 3SE +/- 73.62, N = 12SE +/- 5.63, N = 3SE +/- 52.31, N = 12SE +/- 97.77, N = 9SE +/- 95.52, N = 12SE +/- 84.35, N = 9SE +/- 24.57, N = 3SE +/- 16.48, N = 3SE +/- 3.69, N = 35212498649464864475546424522451845064229417540874044394339411. (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 7232PEPYC 7282EPYC 7272EPYC 7302PEPYC 7542EPYC 7402PEPYC 7502PEPYC 7F32EPYC 7552EPYC 7532EPYC 7F52EPYC 7642EPYC 7742EPYC 7702EPYC 7662112233445547.9145.8644.6143.6740.8939.9038.4136.0233.3532.7828.6828.3626.4625.7325.67

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUEPYC 7402PEPYC 7F32EPYC 7542EPYC 7532EPYC 7502PEPYC 7302PEPYC 7552EPYC 7642EPYC 7232PEPYC 7272EPYC 7282EPYC 7662EPYC 7702EPYC 7742EPYC 7F52110220330440550SE +/- 4.15, N = 9SE +/- 0.50, N = 3SE +/- 1.15, N = 3SE +/- 0.44, N = 3SE +/- 4.69, N = 12SE +/- 5.01, N = 3SE +/- 0.60, N = 3SE +/- 3.97, N = 3SE +/- 0.50, N = 3SE +/- 1.26, N = 3SE +/- 0.29, N = 3SE +/- 6.16, N = 12SE +/- 7.16, N = 12SE +/- 8.08, N = 9SE +/- 6.13, N = 125004804754664594564404314094034003953903793721. (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 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7402PEPYC 7F32EPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7F52EPYC 7662EPYC 7742EPYC 77021.1792.3583.5374.7165.8955.244.794.714.504.254.104.083.863.273.222.842.502.502.482.39

OpenFOAM

Input: Motorbike 30M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P306090120150SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.30, N = 322.3622.8323.3523.4325.1726.5329.6230.6233.8139.8940.8756.5760.5067.23113.161. (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 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7532EPYC 7552EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F32EPYC 7F52EPYC 7282EPYC 7272EPYC 7232P120240360480600SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.31, N = 3SE +/- 0.57, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.59, N = 3SE +/- 0.44, N = 3SE +/- 0.36, N = 3SE +/- 1.71, N = 3SE +/- 0.84, N = 3SE +/- 1.13, N = 3SE +/- 0.29, N = 3232.40232.98233.34233.73236.99260.78313.64314.06319.87320.20362.74454.84520.45530.10573.041. (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

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, 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 = 38.978.897.887.817.206.175.735.684.764.043.313.162.472.161.75

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F32EPYC 7F52EPYC 7232PEPYC 7302PEPYC 7272EPYC 7402PEPYC 7282EPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 7742EPYC 77029001800270036004500SE +/- 19.31, N = 3SE +/- 3.08, N = 3SE +/- 14.48, N = 3SE +/- 1.52, N = 3SE +/- 9.26, N = 3SE +/- 12.54, N = 3SE +/- 7.78, N = 3SE +/- 3.65, N = 3SE +/- 1.04, N = 3SE +/- 1.33, N = 3SE +/- 2.50, N = 3SE +/- 2.44, N = 3SE +/- 0.31, N = 3SE +/- 2.49, N = 3SE +/- 12.73, N = 31836.511976.702298.632414.742434.172507.582527.862579.792794.252815.803059.053325.993562.633589.694029.98

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.988.927.887.797.226.135.725.684.734.023.323.232.472.161.74

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7F32EPYC 7F52EPYC 7232PEPYC 7272EPYC 7302PEPYC 7282EPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 7742EPYC 77029001800270036004500SE +/- 14.55, N = 3SE +/- 1.86, N = 3SE +/- 17.95, N = 3SE +/- 34.12, N = 3SE +/- 2.67, N = 3SE +/- 13.37, N = 3SE +/- 3.50, N = 3SE +/- 2.29, N = 3SE +/- 0.81, N = 3SE +/- 2.24, N = 3SE +/- 1.92, N = 3SE +/- 3.41, N = 3SE +/- 0.45, N = 3SE +/- 1.62, N = 3SE +/- 8.92, N = 31844.311980.562314.662406.222413.452446.022522.612572.362791.542814.153069.383327.503558.093584.774030.53

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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7F52EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P6K12K18K24K30KSE +/- 136.51, N = 3SE +/- 46.32, N = 3SE +/- 28.57, N = 3SE +/- 55.79, N = 3SE +/- 31.70, N = 3SE +/- 85.72, N = 3SE +/- 42.04, N = 3SE +/- 22.86, N = 3SE +/- 95.61, N = 3SE +/- 50.79, N = 3SE +/- 43.76, N = 3SE +/- 21.57, N = 3SE +/- 89.67, N = 3SE +/- 52.69, N = 3SE +/- 41.71, N = 1528361.7328284.8725067.0423441.9122986.0519922.0118612.5416446.8812800.5910017.989663.439316.806689.954953.654012.40

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 7542EPYC 7282EPYC 7F32EPYC 7F52EPYC 7302PEPYC 7502PEPYC 7272EPYC 7402PEPYC 7532EPYC 7232PEPYC 7552EPYC 7642EPYC 7662EPYC 7742EPYC 77020.27230.54460.81691.08921.3615SE +/- 0.00, 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 +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.780.790.810.840.840.890.920.950.980.991.021.061.071.21

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 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7F52EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P6K12K18K24K30KSE +/- 30.27, N = 3SE +/- 87.64, N = 3SE +/- 48.27, N = 3SE +/- 49.13, N = 3SE +/- 4.60, N = 3SE +/- 75.75, N = 3SE +/- 60.57, N = 3SE +/- 24.60, N = 3SE +/- 157.24, N = 3SE +/- 103.67, N = 4SE +/- 47.83, N = 3SE +/- 6.65, N = 3SE +/- 21.76, N = 3SE +/- 6.26, N = 3SE +/- 46.05, N = 428316.5028270.2125012.9823559.1722996.9319958.4118514.6016443.7313220.959884.629866.089314.826803.094984.354115.44

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 7542EPYC 7F32EPYC 7F52EPYC 7282EPYC 7302PEPYC 7502PEPYC 7272EPYC 7402PEPYC 7532EPYC 7232PEPYC 7552EPYC 7642EPYC 7662EPYC 7742EPYC 77020.27450.5490.82351.0981.3725SE +/- 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 +/- 0.01, 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 = 30.770.780.790.790.840.840.870.880.950.960.991.021.071.081.22

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.04, 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 +/- 0.01, 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 +/- 0.00, N = 36.836.626.025.675.534.744.374.203.532.992.512.371.811.661.29

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7F32EPYC 7F52EPYC 7232PEPYC 7302PEPYC 7272EPYC 7542EPYC 7402PEPYC 7282EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7742EPYC 7662EPYC 770211002200330044005500SE +/- 4.62, N = 3SE +/- 1.31, N = 3SE +/- 3.19, N = 3SE +/- 5.57, N = 3SE +/- 9.03, N = 3SE +/- 2.78, N = 3SE +/- 14.72, N = 3SE +/- 2.79, N = 3SE +/- 1.53, N = 3SE +/- 10.25, N = 3SE +/- 4.94, N = 3SE +/- 5.33, N = 3SE +/- 18.38, N = 3SE +/- 6.15, N = 3SE +/- 6.77, N = 32399.192643.393071.913145.893264.493276.523310.913344.393578.093757.354132.134197.604536.004731.725170.99

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 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 +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.876.606.055.675.534.704.364.193.512.982.512.381.811.641.28

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F32EPYC 7F52EPYC 7232PEPYC 7302PEPYC 7272EPYC 7542EPYC 7402PEPYC 7282EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7742EPYC 7662EPYC 770211002200330044005500SE +/- 1.90, N = 3SE +/- 4.58, N = 3SE +/- 10.38, N = 3SE +/- 5.33, N = 3SE +/- 8.60, N = 3SE +/- 5.09, N = 3SE +/- 4.18, N = 3SE +/- 1.17, N = 3SE +/- 1.62, N = 3SE +/- 3.83, N = 3SE +/- 14.85, N = 3SE +/- 8.65, N = 3SE +/- 8.32, N = 3SE +/- 4.63, N = 3SE +/- 6.37, N = 32409.032649.353090.583155.853265.933271.263315.633342.133582.563754.854138.694203.814525.324732.735153.99

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P120240360480600SE +/- 1.00, N = 3SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 1.15, N = 353550449244644135933732827922219218614211696MIN: 1 / MAX: 1809MIN: 1 / MAX: 1715MIN: 1 / MAX: 1688MIN: 1 / MAX: 1551MIN: 1 / MAX: 1539MIN: 1 / MAX: 1250MIN: 1 / MAX: 1172MIN: 1 / MAX: 1145MIN: 1 / MAX: 983MIN: 1 / MAX: 779MIN: 1 / MAX: 672MIN: 1 / MAX: 658MIN: 1 / MAX: 507MIN: 1 / MAX: 413MIN: 1 / MAX: 343

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7742EPYC 7662EPYC 7552EPYC 7702EPYC 7542EPYC 7642EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F321.10482.20963.31444.41925.5244.914.794.724.554.324.234.133.373.242.822.502.161.801.601.35

OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P1020304050SE +/- 0.00, N = 7SE +/- 0.00, N = 6SE +/- 0.00, N = 6SE +/- 0.00, N = 5SE +/- 0.17, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 6SE +/- 0.00, N = 343.4840.0040.0034.4834.4827.7826.0525.0020.8314.0813.8913.4510.428.166.99MIN: 35.71 / MAX: 45.45MIN: 38.46 / MAX: 41.67MIN: 34.48 / MAX: 41.67MIN: 33.33 / MAX: 35.71MIN: 33.33 / MAX: 35.71MIN: 27.03MIN: 25.64 / MAX: 26.32MIN: 23.81 / MAX: 25.64MIN: 20.41 / MAX: 21.28MIN: 12.99 / MAX: 14.29MIN: 13.33 / MAX: 14.08MIN: 12.82 / MAX: 13.89MIN: 10.1 / MAX: 10.64MIN: 6.85 / MAX: 8.4MIN: 5.95 / MAX: 7.04

OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.06980.13960.20940.27920.3490.310.310.300.280.250.230.220.190.170.160.150.130.110.090.08

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, 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 = 3SE +/- 0.00, N = 312.2011.2411.079.589.527.587.016.905.764.454.023.722.932.391.89MIN: 11.24 / MAX: 12.35MIN: 10.99 / MAX: 11.36MIN: 10.75 / MAX: 11.24MIN: 9.17 / MAX: 9.71MIN: 9.35 / MAX: 9.62MIN: 7.46 / MAX: 7.63MIN: 6.94 / MAX: 7.09MIN: 6.8 / MAX: 6.99MIN: 5.68 / MAX: 5.81MIN: 4.31 / MAX: 4.52MIN: 3.98 / MAX: 4.05MIN: 3.69 / MAX: 3.76MIN: 2.9 / MAX: 2.97MIN: 2.37 / MAX: 2.42MIN: 1.84 / MAX: 1.91

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7282EPYC 7402PEPYC 7272EPYC 7302PEPYC 7F32EPYC 7F52EPYC 7232P0.01580.03160.04740.06320.0790.070.070.070.060.060.050.050.050.040.040.030.030.020.020.02

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.01, N = 3SE +/- 0.01, 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 +/- 0.01, 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 = 36.526.005.925.155.104.043.753.703.072.342.151.981.551.270.99MIN: 6.45 / MAX: 6.58MIN: 5.92 / MAX: 6.06MIN: 5.85 / MAX: 5.99MIN: 5.08 / MAX: 5.21MIN: 5.05 / MAX: 5.15MIN: 3.98 / MAX: 4.07MIN: 3.72 / MAX: 3.77MIN: 3.64 / MAX: 3.73MIN: 3.02 / MAX: 3.11MIN: 2.29 / MAX: 2.38MIN: 2.13 / MAX: 2.16MIN: 1.96 / MAX: 1.99MIN: 1.54 / MAX: 1.57MIN: 1.26 / MAX: 1.28MAX: 1

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7662EPYC 7742EPYC 7642EPYC 7502PEPYC 7552EPYC 7702EPYC 7532EPYC 7282EPYC 7542EPYC 7272EPYC 7302PEPYC 7402PEPYC 7F32EPYC 7F52EPYC 7232P0.0090.0180.0270.0360.0450.040.030.030.030.030.030.020.020.020.020.020.020.010.010.01

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.49, N = 6SE +/- 0.00, N = 6SE +/- 0.00, N = 6SE +/- 0.18, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 383.3376.9276.9266.6766.6755.0750.0047.6241.6729.5929.4127.7821.7417.2414.29MIN: 55.56 / MAX: 90.91MIN: 62.5 / MAX: 83.33MIN: 71.43 / MAX: 83.33MIN: 62.5 / MAX: 71.43MIN: 58.82 / MAX: 71.43MIN: 50 / MAX: 55.56MIN: 45.45 / MAX: 52.63MIN: 45.45 / MAX: 50MIN: 38.46 / MAX: 43.48MIN: 27.78 / MAX: 31.25MIN: 27.78MIN: 26.32MIN: 20.83 / MAX: 22.22MIN: 16.67 / MAX: 17.86MIN: 13.89 / MAX: 14.49

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.180.360.540.720.90.800.780.760.710.650.590.570.470.440.380.340.290.220.210.18

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, 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 = 318.1816.9516.6714.4914.2911.3610.6010.428.776.836.075.654.393.652.82MIN: 16.39 / MAX: 18.87MIN: 16.39 / MAX: 17.24MIN: 16.39 / MAX: 16.95MIN: 14.08 / MAX: 14.71MIN: 13.89 / MAX: 14.49MIN: 11.11 / MAX: 11.49MIN: 10.42 / MAX: 10.75MIN: 10.2 / MAX: 10.53MIN: 8.62 / MAX: 8.85MIN: 6.67 / MAX: 6.94MIN: 5.99 / MAX: 6.13MIN: 5.59 / MAX: 5.75MIN: 4.33 / MAX: 4.44MIN: 3.58 / MAX: 3.69MIN: 2.79 / MAX: 2.86

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7282EPYC 7402PEPYC 7272EPYC 7302PEPYC 7232PEPYC 7F32EPYC 7F520.0270.0540.0810.1080.1350.120.110.110.100.090.080.080.070.060.060.050.050.040.030.03

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1428425670SE +/- 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 = 3SE +/- 0.00, N = 362.5058.8255.5650.0050.0040.0037.0435.7130.3022.5620.8319.6115.6312.5010.31MIN: 55.56 / MAX: 66.67MIN: 52.63 / MAX: 62.5MIN: 50 / MAX: 62.5MIN: 47.62 / MAX: 52.63MIN: 47.62 / MAX: 52.63MIN: 37.04 / MAX: 41.67MIN: 34.48 / MAX: 40MIN: 33.33 / MAX: 38.46MIN: 29.41 / MAX: 32.26MIN: 21.28 / MAX: 24.39MIN: 20.41 / MAX: 22.73MIN: 19.23 / MAX: 21.28MIN: 15.15 / MAX: 16.67MIN: 12.2 / MAX: 13.33MIN: 10.1 / MAX: 10.99

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7742EPYC 7662EPYC 7552EPYC 7702EPYC 7642EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.16880.33760.50640.67520.8440.750.720.690.670.620.590.570.440.430.340.310.260.210.190.16

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P1.20382.40763.61144.81526.019SE +/- 0.00, N = 3SE +/- 0.01, 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 = 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 = 35.354.994.924.214.173.233.032.972.451.651.591.481.220.950.76MIN: 5.26 / MAX: 5.38MIN: 4.95 / MAX: 5.03MIN: 4.88 / MAX: 4.95MIN: 4.1 / MAX: 4.24MIN: 4.12 / MAX: 4.18MIN: 3.19 / MAX: 3.24MIN: 2.99 / MAX: 3.04MIN: 2.93 / MAX: 2.99MIN: 2.43 / MAX: 2.46MIN: 1.63MIN: 1.58 / MAX: 1.6MIN: 1.47 / MAX: 1.49MIN: 1.21MAX: 0.77

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7742EPYC 7662EPYC 7642EPYC 7552EPYC 7702EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7F32EPYC 7F52EPYC 7272EPYC 7232P0.0090.0180.0270.0360.0450.040.040.030.030.030.020.020.020.020.020.020.010.010.010.01

Parboil

Test: OpenMP LBM

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP LBMEPYC 7642EPYC 7532EPYC 7702EPYC 7742EPYC 7662EPYC 7302PEPYC 7552EPYC 7F32EPYC 7502PEPYC 7542EPYC 7402PEPYC 7F52EPYC 7272EPYC 7232PEPYC 72821020304050SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 11SE +/- 0.26, N = 5SE +/- 0.08, N = 3SE +/- 0.26, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 321.9422.9423.3223.3323.8224.9226.4727.2527.6027.6429.0235.4242.9545.7646.071. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1020304050SE +/- 0.035543, N = 6SE +/- 0.054901, N = 6SE +/- 0.058701, N = 6SE +/- 0.071740, N = 5SE +/- 0.095577, N = 5SE +/- 0.014397, N = 5SE +/- 0.043495, N = 4SE +/- 0.026648, N = 4SE +/- 0.007758, N = 4SE +/- 0.019214, N = 3SE +/- 0.036573, N = 3SE +/- 0.019691, N = 3SE +/- 0.292336, N = 3SE +/- 0.037928, N = 3SE +/- 0.039126, N = 36.6392406.9953217.0339828.1766028.98853810.88576014.16482014.78157016.13929016.65375021.95188028.99392033.80852034.58003045.1546001. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1530456075SE +/- 0.06, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 311.1311.8011.9413.8715.3518.0622.2323.0325.8825.8934.0341.6949.1152.7966.421. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

Perl Benchmarks

Test: Pod2html

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlEPYC 7F32EPYC 7F52EPYC 7742EPYC 7402PEPYC 7542EPYC 7502PEPYC 7642EPYC 7702EPYC 7662EPYC 7302PEPYC 7532EPYC 7552EPYC 7282EPYC 7272EPYC 7232P0.03520.07040.10560.14080.176SE +/- 0.00007037, N = 3SE +/- 0.00013172, N = 3SE +/- 0.00081699, N = 3SE +/- 0.00052181, N = 3SE +/- 0.00010921, N = 3SE +/- 0.00050264, N = 3SE +/- 0.00113052, N = 3SE +/- 0.00022828, N = 3SE +/- 0.00009609, N = 3SE +/- 0.00104595, N = 3SE +/- 0.00097851, N = 3SE +/- 0.00076232, N = 3SE +/- 0.00047942, N = 3SE +/- 0.00070595, N = 3SE +/- 0.00101629, N = 30.128195450.129242850.145541430.145735970.148508120.148592730.148682530.149543390.149767950.149784890.149882930.151249760.153417050.154578900.15653208

Perl Benchmarks

Test: Interpreter

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterEPYC 7F52EPYC 7F32EPYC 7302PEPYC 7542EPYC 7402PEPYC 7502PEPYC 7742EPYC 7552EPYC 7642EPYC 7532EPYC 7702EPYC 7662EPYC 7272EPYC 7282EPYC 7232P0.00020.00040.00060.00080.001SE +/- 0.00000483, N = 3SE +/- 0.00001015, N = 3SE +/- 0.00000413, N = 3SE +/- 0.00000879, N = 3SE +/- 0.00000962, N = 3SE +/- 0.00000724, N = 3SE +/- 0.00000656, N = 3SE +/- 0.00000921, N = 3SE +/- 0.00000264, N = 3SE +/- 0.00000252, N = 3SE +/- 0.00000621, N = 3SE +/- 0.00000365, N = 3SE +/- 0.00001257, N = 3SE +/- 0.00000497, N = 3SE +/- 0.00000737, N = 30.000825700.000835630.000954780.000954850.000955860.000960820.000961160.000961530.000965790.000967530.000970840.000974550.000980740.000992100.00100608

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7F32EPYC 7F52EPYC 7402PEPYC 7742EPYC 7542EPYC 7532EPYC 7502PEPYC 7702EPYC 7662EPYC 7302PEPYC 7552EPYC 7642EPYC 7272EPYC 7232PEPYC 7282130K260K390K520K650KSE +/- 7086.33, N = 3SE +/- 1476.72, N = 3SE +/- 4035.67, N = 3SE +/- 1456.19, N = 3SE +/- 741.11, N = 3SE +/- 4131.15, N = 3SE +/- 948.15, N = 3SE +/- 1921.47, N = 3SE +/- 1174.39, N = 3SE +/- 957.34, N = 3SE +/- 142.64, N = 3SE +/- 215.70, N = 3SE +/- 2157.92, N = 3SE +/- 569.07, N = 3SE +/- 973.54, N = 3621672614039542521540797539060532957531740529609524751524189523575521572513356511906511228

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7402PEPYC 7542EPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7532EPYC 7662EPYC 77023K6K9K12K15K12522.0012418.0212087.8111604.8311170.8811143.9910842.6110676.059050.748583.598074.568013.007829.147697.437643.25

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7662EPYC 7642EPYC 7742EPYC 7542EPYC 7552EPYC 7502PEPYC 7702EPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P918273645SE +/- 0.46, N = 4SE +/- 0.45, N = 3SE +/- 0.16, N = 3SE +/- 0.37, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 337.3835.2534.9933.3332.6832.0531.8930.3627.8124.2921.2420.3416.7914.6711.41

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7502PEPYC 7662EPYC 7542EPYC 7552EPYC 7742EPYC 7702EPYC 7642EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.0630.1260.1890.2520.3150.280.280.270.270.260.260.250.230.230.230.200.190.140.130.11

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7662EPYC 7742EPYC 7642EPYC 7542EPYC 7552EPYC 7502PEPYC 7702EPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P714212835SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 331.8429.4929.3727.6727.5026.5126.4925.3523.3420.0017.3916.6113.6712.069.30

PlaidML

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7662EPYC 7742EPYC 7502PEPYC 7552EPYC 7542EPYC 7702EPYC 7642EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.0540.1080.1620.2160.270.240.220.220.220.210.210.200.190.190.180.160.150.110.110.09

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 7742EPYC 7662EPYC 7642EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P15K30K45K60K75KSE +/- 283.18, N = 3SE +/- 229.52, N = 3SE +/- 539.78, N = 3SE +/- 709.54, N = 3SE +/- 486.09, N = 3SE +/- 676.58, N = 3SE +/- 406.89, N = 15SE +/- 387.48, N = 3SE +/- 174.06, N = 3SE +/- 309.38, N = 15SE +/- 447.90, N = 12SE +/- 337.73, N = 15SE +/- 91.21, N = 3SE +/- 63.04, N = 3SE +/- 18.98, N = 37069060949588895694555699523255179447662476153858638458371523189624137213341. (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 7742EPYC 7662EPYC 7642EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P1.05532.11063.16594.22125.2765SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.016, N = 3SE +/- 0.022, N = 3SE +/- 0.016, N = 3SE +/- 0.024, N = 3SE +/- 0.015, N = 15SE +/- 0.017, N = 3SE +/- 0.008, N = 3SE +/- 0.021, N = 15SE +/- 0.029, N = 12SE +/- 0.024, N = 15SE +/- 0.009, N = 3SE +/- 0.011, N = 3SE +/- 0.004, N = 31.4171.6431.7011.7591.7981.9151.9352.1012.1032.5962.6062.6973.1374.1454.6901. (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 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P200K400K600K800K1000KSE +/- 1487.88, N = 3SE +/- 2726.39, N = 3SE +/- 3714.01, N = 3SE +/- 492.11, N = 3SE +/- 2696.01, N = 3SE +/- 684.57, N = 3SE +/- 1605.99, N = 3SE +/- 1146.88, N = 3SE +/- 1145.86, N = 3SE +/- 501.41, N = 3SE +/- 406.00, N = 3SE +/- 721.66, N = 3SE +/- 527.65, N = 3SE +/- 196.73, N = 3SE +/- 258.28, N = 39813829155238974538354578325096549146106675783404991383811843577813445982785102156171842511. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.12220.24440.36660.48880.611SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, 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 +/- 0.001, N = 3SE +/- 0.001, N = 30.1020.1090.1120.1200.1200.1530.1640.1730.2010.2630.2800.2900.3590.4640.5431. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P12K24K36K48K60KSE +/- 858.45, N = 15SE +/- 734.82, N = 3SE +/- 365.68, N = 3SE +/- 725.42, N = 3SE +/- 308.59, N = 3SE +/- 320.52, N = 13SE +/- 468.05, N = 3SE +/- 489.37, N = 5SE +/- 510.25, N = 4SE +/- 44.96, N = 3SE +/- 306.40, N = 6SE +/- 92.29, N = 3SE +/- 98.97, N = 3SE +/- 32.87, N = 3SE +/- 5.29, N = 35710254318521815144450381466554567144343412733211530313281932517020541177091. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.064, N = 15SE +/- 0.063, N = 3SE +/- 0.034, N = 3SE +/- 0.069, N = 3SE +/- 0.031, N = 3SE +/- 0.034, N = 13SE +/- 0.056, N = 3SE +/- 0.063, N = 5SE +/- 0.075, N = 4SE +/- 0.011, N = 3SE +/- 0.082, N = 6SE +/- 0.029, N = 3SE +/- 0.040, N = 3SE +/- 0.020, N = 3SE +/- 0.004, N = 34.4034.6174.8044.8724.9725.3695.4815.6486.0677.7918.2588.8769.93912.17614.1231. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P200K400K600K800K1000KSE +/- 6275.15, N = 3SE +/- 6923.68, N = 3SE +/- 5067.03, N = 3SE +/- 3710.21, N = 3SE +/- 1360.28, N = 3SE +/- 1178.79, N = 3SE +/- 1108.32, N = 3SE +/- 853.89, N = 3SE +/- 1318.12, N = 3SE +/- 248.26, N = 3SE +/- 891.46, N = 3SE +/- 804.68, N = 3SE +/- 696.35, N = 3SE +/- 681.51, N = 3SE +/- 518.37, N = 39976529397508999927914567756876557746141835875485216533970383684493432292756772133451698321. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.33140.66280.99421.32561.657SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 30.2510.2670.2790.3160.3230.3820.4070.4260.4800.6300.6790.7290.9081.1731.4731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

POV-Ray

Trace Time

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1326395265SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 310.6811.5011.5013.2713.2715.9417.1417.6720.4624.1828.7030.5138.4145.4755.781. (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

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 7F32EPYC 7F52EPYC 7542EPYC 7402PEPYC 7702EPYC 7742EPYC 7302PEPYC 7502PEPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7272EPYC 7232PEPYC 728230060090012001500SE +/- 8.33, N = 3SE +/- 5.46, N = 3SE +/- 1.20, N = 3SE +/- 1.20, N = 3SE +/- 6.84, N = 3SE +/- 6.89, N = 3SE +/- 1.86, N = 3SE +/- 10.82, N = 3SE +/- 9.35, N = 3SE +/- 7.33, N = 3SE +/- 9.54, N = 3SE +/- 7.55, N = 3SE +/- 9.68, N = 3SE +/- 8.01, N = 39989991137115911661166117211731178118011841184120812131221

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 7F52EPYC 7F32EPYC 7742EPYC 7502PEPYC 7702EPYC 7542EPYC 7302PEPYC 7402PEPYC 7532EPYC 7552EPYC 7662EPYC 7272EPYC 7642EPYC 7232PEPYC 7282306090120150SE +/- 0.33, N = 3110111127128129129130131131133133134134135135

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7502PEPYC 7402PEPYC 7702EPYC 7302PEPYC 7552EPYC 7532EPYC 7642EPYC 7662EPYC 7282EPYC 7232PEPYC 72721326395265SE +/- 0.45, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.19, N = 3SE +/- 0.37, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.44, N = 3SE +/- 0.52, N = 3SE +/- 0.26, N = 3SE +/- 0.37, N = 3SE +/- 0.19, N = 3SE +/- 0.27, N = 3SE +/- 0.40, N = 3SE +/- 0.15, N = 349.150.456.756.856.957.257.557.658.158.358.458.659.159.560.0

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatEPYC 7F52EPYC 7F32EPYC 7742EPYC 7502PEPYC 7702EPYC 7402PEPYC 7552EPYC 7662EPYC 7532EPYC 7302PEPYC 7542EPYC 7642EPYC 7272EPYC 7282EPYC 7232P306090120150SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3114115130132133133134134134135135135138139143

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyEPYC 7F52EPYC 7F32EPYC 7542EPYC 7742EPYC 7702EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7662EPYC 7532EPYC 7642EPYC 7232PEPYC 7272EPYC 7282306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3116116133133135135135137137137137138141141142

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibEPYC 7F32EPYC 7F52EPYC 7502PEPYC 7542EPYC 7742EPYC 7702EPYC 7402PEPYC 7302PEPYC 7532EPYC 7552EPYC 7662EPYC 7642EPYC 7272EPYC 7232PEPYC 7282510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 317.217.519.919.919.920.220.220.420.420.520.520.521.021.121.3

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 7F32EPYC 7F52EPYC 7742EPYC 7502PEPYC 7702EPYC 7542EPYC 7402PEPYC 7302PEPYC 7552EPYC 7662EPYC 7532EPYC 7642EPYC 7232PEPYC 7272EPYC 728250100150200250SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3171174195197198198200202202202202203208208208

QuantLib

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21EPYC 7F52EPYC 7F32EPYC 7542EPYC 7742EPYC 7502PEPYC 7402PEPYC 7702EPYC 7662EPYC 7302PEPYC 7552EPYC 7642EPYC 7532EPYC 7272EPYC 7232PEPYC 72825001000150020002500SE +/- 10.66, N = 3SE +/- 13.33, N = 3SE +/- 11.83, N = 3SE +/- 11.68, N = 3SE +/- 9.97, N = 3SE +/- 12.22, N = 3SE +/- 11.47, N = 3SE +/- 10.12, N = 3SE +/- 10.13, N = 3SE +/- 13.45, N = 3SE +/- 13.12, N = 3SE +/- 10.26, N = 3SE +/- 12.91, N = 3SE +/- 10.95, N = 3SE +/- 8.78, N = 32300.72285.22016.42004.41984.51977.31970.11955.31952.51945.31944.51922.31893.21892.01887.01. (CXX) g++ options: -O3 -march=native -rdynamic

QuantLib

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.21EPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7662EPYC 7532EPYC 7702102030405046.0145.4244.4742.4741.0440.4440.2739.6833.7531.9929.8729.5228.4928.3228.04

Quantum ESPRESSO

Input: AUSURF112

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112EPYC 7742EPYC 7702EPYC 7662EPYC 7542EPYC 7552EPYC 7402PEPYC 7F32EPYC 7F52EPYC 7642EPYC 7502PEPYC 7302PEPYC 7532EPYC 7282EPYC 7272EPYC 7232P400800120016002000SE +/- 1.20, N = 3SE +/- 1.52, N = 3SE +/- 1.64, N = 3SE +/- 3.48, N = 3SE +/- 16.58, N = 4SE +/- 1.29, N = 3SE +/- 0.33, N = 3SE +/- 11.50, N = 3SE +/- 22.87, N = 9SE +/- 5.50, N = 3SE +/- 5.19, N = 3SE +/- 6.34, N = 3SE +/- 4.40, N = 3SE +/- 1.18, N = 3SE +/- 0.83, N = 31168.321208.311216.501317.271329.901342.141356.261357.301372.731386.781403.521403.871456.821520.431656.881. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

RawTherapee

Total Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC 7542EPYC 7502PEPYC 7F52EPYC 7402PEPYC 7642EPYC 7552EPYC 7532EPYC 7662EPYC 7742EPYC 7702EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P1632486480SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.59, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 352.1352.7453.1553.9354.4854.4954.7755.0455.6156.0358.5161.5462.2462.7672.471. RawTherapee, version 5.8, command line.

rays1bench

Large Scene

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60120180240300SE +/- 0.16, N = 7SE +/- 0.20, N = 7SE +/- 0.21, N = 7SE +/- 0.11, N = 7SE +/- 0.08, N = 7SE +/- 0.03, N = 6SE +/- 0.06, N = 6SE +/- 0.06, N = 6SE +/- 0.04, N = 6SE +/- 0.10, N = 5SE +/- 0.08, N = 5SE +/- 0.06, N = 4SE +/- 0.04, N = 4SE +/- 0.01, N = 4SE +/- 0.08, N = 3269.74243.57243.25218.73217.70182.59167.75163.00134.19109.9190.3784.5468.5159.6048.61

rays1bench

Large Scene

OpenBenchmarking.orgmrays/s Per Watt, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.55581.11161.66742.22322.7792.472.392.332.242.041.851.811.541.341.090.970.850.690.680.54

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7F52EPYC 7F32EPYC 7702EPYC 7662EPYC 7542EPYC 7532EPYC 7742EPYC 7642EPYC 7502PEPYC 7302PEPYC 7552EPYC 7272EPYC 7402PEPYC 7282EPYC 7232P300K600K900K1200K1500KSE +/- 8091.69, N = 3SE +/- 13442.74, N = 3SE +/- 22602.36, N = 12SE +/- 18435.82, N = 15SE +/- 15275.38, N = 3SE +/- 15826.22, N = 15SE +/- 9391.21, N = 3SE +/- 16083.41, N = 14SE +/- 14615.10, N = 4SE +/- 12613.83, N = 5SE +/- 14106.76, N = 3SE +/- 17229.52, N = 15SE +/- 4313.29, N = 3SE +/- 15930.17, N = 3SE +/- 11537.36, N = 41336546.211315900.461228831.791200527.311189270.871186674.321185927.041183717.451180459.911173570.001170719.461156241.741147451.381143594.631126925.501. (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 7272EPYC 7232PEPYC 7282EPYC 7F32EPYC 7402PEPYC 7542EPYC 7302PEPYC 7502PEPYC 7552EPYC 7F52EPYC 7702EPYC 7642EPYC 7662EPYC 7532EPYC 77427K14K21K28K35K33520.2633238.2031275.5530367.3729418.4429411.0729192.7829043.8524980.5323705.7922530.9821774.4521301.3721182.6620916.31

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7F52EPYC 7F32EPYC 7542EPYC 7742EPYC 7702EPYC 7532EPYC 7402PEPYC 7552EPYC 7302PEPYC 7642EPYC 7232PEPYC 7502PEPYC 7662EPYC 7282EPYC 7272400K800K1200K1600K2000KSE +/- 17849.12, N = 5SE +/- 19118.80, N = 4SE +/- 13573.21, N = 15SE +/- 14975.61, N = 3SE +/- 18256.32, N = 3SE +/- 21214.43, N = 3SE +/- 13170.58, N = 15SE +/- 8071.25, N = 3SE +/- 13583.32, N = 6SE +/- 11135.64, N = 15SE +/- 18495.33, N = 15SE +/- 18437.40, N = 3SE +/- 13883.40, N = 3SE +/- 14367.89, N = 15SE +/- 12289.67, N = 31635794.571601070.501508082.411493222.211482738.921481804.001466557.031450496.711438157.731437534.231421564.351419600.131417246.671414840.411372468.881. (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 7232PEPYC 7272EPYC 7282EPYC 7402PEPYC 7542EPYC 7F32EPYC 7302PEPYC 7502PEPYC 7552EPYC 7F52EPYC 7702EPYC 7532EPYC 7642EPYC 7742EPYC 76629K18K27K36K45K42939.7540587.4939449.1439042.9338176.8237914.8436649.4435995.9331741.9929783.1427989.2027229.6927083.6526979.3525840.00

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P612182430SE +/- 0.061, N = 6SE +/- 0.051, N = 15SE +/- 0.066, N = 8SE +/- 0.083, N = 6SE +/- 0.073, N = 5SE +/- 0.005, N = 5SE +/- 0.057, N = 5SE +/- 0.030, N = 5SE +/- 0.007, N = 4SE +/- 0.022, N = 4SE +/- 0.009, N = 4SE +/- 0.022, N = 4SE +/- 0.065, N = 3SE +/- 0.078, N = 3SE +/- 0.030, N = 37.6837.7477.8198.4058.4349.8069.8589.89211.57713.53014.79215.44518.13422.21825.3741. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60120180240300SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.20, N = 3SE +/- 0.51, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 350.3454.6554.7163.4764.2179.1185.0187.56103.00125.53147.38157.17200.35243.84296.691. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7642EPYC 7742EPYC 7662EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P306090120150SE +/- 0.47, N = 15SE +/- 0.51, N = 15SE +/- 0.47, N = 3SE +/- 0.82, N = 15SE +/- 0.61, N = 14SE +/- 0.28, N = 3SE +/- 0.26, N = 3SE +/- 0.42, N = 3SE +/- 0.25, N = 3SE +/- 0.52, N = 3SE +/- 1.14, N = 3SE +/- 0.76, N = 10SE +/- 0.53, N = 3SE +/- 0.11, N = 3SE +/- 0.41, N = 346.5347.1747.3747.4348.7257.6857.9859.4459.6590.5298.1999.72107.97130.98148.201. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7532EPYC 7552EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7232PEPYC 7272EPYC 7302PEPYC 7282EPYC 7F32510152025SE +/- 0.008, N = 5SE +/- 0.030, N = 5SE +/- 0.017, N = 5SE +/- 0.074, N = 15SE +/- 0.016, N = 5SE +/- 0.119, N = 4SE +/- 0.022, N = 4SE +/- 0.007, N = 4SE +/- 0.042, N = 4SE +/- 0.049, N = 4SE +/- 0.040, N = 4SE +/- 0.079, N = 3SE +/- 0.034, N = 3SE +/- 0.159, N = 8SE +/- 0.017, N = 38.7918.9058.9289.1859.91312.02714.31614.32014.76115.04915.54016.89517.72918.18919.7071. (CXX) g++ options: -O2 -lOpenCL

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsEPYC 7F32EPYC 7F52EPYC 7742EPYC 7542EPYC 7402PEPYC 7642EPYC 7502PEPYC 7662EPYC 7552EPYC 7302PEPYC 7702EPYC 7532EPYC 7282EPYC 7272EPYC 7232P0.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, 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 +/- 0.01, N = 3SE +/- 0.01, N = 30.620.610.530.530.530.520.520.520.520.520.520.510.500.500.501. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsEPYC 7742EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.010.010.010.010.010.01

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomEPYC 7F32EPYC 7F52EPYC 7742EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7702EPYC 7642EPYC 7532EPYC 7282EPYC 7662EPYC 7272EPYC 7552EPYC 7232P0.08550.1710.25650.3420.4275SE +/- 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 = 30.380.380.330.330.330.330.330.330.320.320.320.320.320.320.311. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomEPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7742EPYC 7642EPYC 7532EPYC 7662EPYC 77020.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.01

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaEPYC 7F32EPYC 7F52EPYC 7742EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7642EPYC 7532EPYC 7662EPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P0.11930.23860.35790.47720.5965SE +/- 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 = 30.530.530.460.460.460.460.460.450.450.450.450.450.440.440.441. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: KostyaEPYC 7742EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.010.010.010.010.010.01

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDEPYC 7F32EPYC 7F52EPYC 7742EPYC 7542EPYC 7702EPYC 7502PEPYC 7662EPYC 7302PEPYC 7402PEPYC 7642EPYC 7532EPYC 7552EPYC 7232PEPYC 7282EPYC 72720.14180.28360.42540.56720.709SE +/- 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 +/- 0.00, 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 = 30.630.620.540.540.540.530.530.530.530.520.520.520.520.510.511. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDEPYC 7742EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.010.010.010.010.010.01

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20M40M60M80M100MSE +/- 935189.20, N = 15SE +/- 597478.91, N = 3SE +/- 1212155.43, N = 4SE +/- 261273.92, N = 3SE +/- 82765.80, N = 3SE +/- 88880.09, N = 3SE +/- 436034.06, N = 15SE +/- 708563.50, N = 4SE +/- 304616.08, N = 3SE +/- 416432.88, N = 3SE +/- 332801.18, N = 6SE +/- 236966.05, N = 10SE +/- 71263.56, N = 3SE +/- 79798.13, N = 3SE +/- 150250.14, N = 3108543125100908453988474698356816682397132641529296086461658384026488047323904341032973749312461372431444319191199160349941. (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 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32120K240K360K480K600K560733.59552076.25541828.86491891.78456939.50419124.02391203.16369416.83325661.01311552.67271259.26246303.77205655.17179617.03162559.29

Stream

Type: Copy

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: CopyEPYC 7642EPYC 7532EPYC 7702EPYC 7662EPYC 7742EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7232PEPYC 7272EPYC 728220K40K60K80K100KSE +/- 47.63, N = 5SE +/- 10.31, N = 5SE +/- 31.65, N = 5SE +/- 13.27, N = 5SE +/- 14.28, N = 5SE +/- 15.41, N = 5SE +/- 52.59, N = 5SE +/- 8.02, N = 5SE +/- 5.59, N = 5SE +/- 5.66, N = 5SE +/- 14.85, N = 5SE +/- 330.72, N = 5SE +/- 9.94, N = 5SE +/- 7.06, N = 5SE +/- 2.37, N = 591703.290663.290511.890296.590141.788717.282399.780140.179677.279674.179342.966901.152390.051714.451093.11. (CC) gcc options: -O3 -march=native -fopenmp

Stream

Type: Copy

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream 2013-01-17Type: CopyEPYC 7302PEPYC 7F32EPYC 7402PEPYC 7542EPYC 7232PEPYC 7502PEPYC 7552EPYC 7272EPYC 7532EPYC 7282EPYC 7642EPYC 7662EPYC 7742EPYC 7702EPYC 7F5220040060080010001003.43973.24902.05873.56854.90844.44790.62785.09762.36734.63729.38678.70676.56648.19560.85

Stream

Type: Scale

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: ScaleEPYC 7532EPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7F52EPYC 7232PEPYC 7272EPYC 728220K40K60K80K100KSE +/- 18.59, N = 5SE +/- 19.79, N = 5SE +/- 21.55, N = 5SE +/- 27.01, N = 5SE +/- 55.03, N = 5SE +/- 32.31, N = 5SE +/- 30.51, N = 5SE +/- 10.74, N = 5SE +/- 7.47, N = 5SE +/- 12.22, N = 5SE +/- 14.00, N = 5SE +/- 31.64, N = 5SE +/- 61.32, N = 5SE +/- 4.61, N = 5SE +/- 3.08, N = 589487.687905.687848.187714.687579.986805.681753.079703.579147.378638.678399.967011.952630.151978.251044.21. (CC) gcc options: -O3 -march=native -fopenmp

Stream

Type: Add

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: AddEPYC 7642EPYC 7532EPYC 7702EPYC 7662EPYC 7742EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7232PEPYC 7272EPYC 728220K40K60K80K100KSE +/- 23.20, N = 5SE +/- 7.96, N = 5SE +/- 25.81, N = 5SE +/- 29.12, N = 5SE +/- 23.05, N = 5SE +/- 16.17, N = 5SE +/- 18.23, N = 5SE +/- 17.97, N = 5SE +/- 9.19, N = 5SE +/- 16.89, N = 5SE +/- 13.36, N = 5SE +/- 39.00, N = 5SE +/- 61.95, N = 5SE +/- 9.00, N = 5SE +/- 6.11, N = 597944.297912.597206.397180.997124.395807.089255.487568.886805.686737.786677.272752.256795.155911.655437.21. (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 7532EPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7F52EPYC 7232PEPYC 7272EPYC 728220K40K60K80K100KSE +/- 16.47, N = 5SE +/- 21.10, N = 5SE +/- 20.07, N = 5SE +/- 26.33, N = 5SE +/- 33.62, N = 5SE +/- 11.91, N = 5SE +/- 59.32, N = 5SE +/- 5.88, N = 5SE +/- 7.48, N = 5SE +/- 19.43, N = 5SE +/- 36.22, N = 5SE +/- 194.23, N = 5SE +/- 65.26, N = 5SE +/- 2.27, N = 5SE +/- 8.84, N = 599248.298343.298248.098034.897940.096497.189567.288105.787308.487239.887057.072315.656788.656066.655596.31. (CC) gcc options: -O3 -march=native -fopenmp

Stream

Type: Triad

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

Stream-Dynamic

- Copy

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- CopyEPYC 7532EPYC 7742EPYC 7642EPYC 7542EPYC 728220K40K60K80K100KSE +/- 15.65, N = 3SE +/- 32.55, N = 3SE +/- 35.22, N = 3SE +/- 16.48, N = 3SE +/- 10.71, N = 394075.6793965.3893594.6182081.4353581.271. (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 7532EPYC 7742EPYC 7642EPYC 7542EPYC 728220K40K60K80K100KSE +/- 25.57, N = 3SE +/- 28.79, N = 3SE +/- 32.33, N = 3SE +/- 12.91, N = 3SE +/- 11.66, N = 392368.4192337.6192049.4881529.0653610.351. (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 7742EPYC 7532EPYC 7642EPYC 7542EPYC 728220K40K60K80K100KSE +/- 34.53, N = 3SE +/- 8.82, N = 3SE +/- 40.00, N = 3SE +/- 6.47, N = 3SE +/- 10.53, N = 3103818.19103789.99103556.1390238.6357323.381. (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 7532EPYC 7742EPYC 7642EPYC 7542EPYC 728220K40K60K80K100KSE +/- 22.34, N = 3SE +/- 22.26, N = 3SE +/- 46.49, N = 3SE +/- 9.40, N = 3SE +/- 9.56, N = 3104119.16104095.68103873.4490450.7257372.731. (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 7642EPYC 7742EPYC 7532EPYC 72822004006008001000967.98957.36951.09881.01

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P5K10K15K20K25KSE +/- 63.30, N = 3SE +/- 45.79, N = 3SE +/- 24.42, N = 3SE +/- 30.57, N = 3SE +/- 23.53, N = 3SE +/- 39.53, N = 3SE +/- 8.85, N = 3SE +/- 14.79, N = 3SE +/- 3.25, N = 3SE +/- 1.01, N = 3SE +/- 1.11, N = 3SE +/- 4.51, N = 3SE +/- 5.85, N = 3SE +/- 4.39, N = 3SE +/- 8.87, N = 321092.5620174.7619926.6116152.0815958.1611234.6011121.5910901.478541.126629.065622.825463.454078.213306.392708.901. (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 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7642EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32306090120150125.49120.79119.94108.9296.7294.2290.6882.6979.2875.0868.6161.9548.7447.4441.61

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3K6K9K12K15KSE +/- 14.83, N = 3SE +/- 2.16, N = 3SE +/- 5.99, N = 3SE +/- 11.28, N = 3SE +/- 6.05, N = 3SE +/- 2.98, N = 3SE +/- 6.32, N = 3SE +/- 2.43, N = 3SE +/- 0.38, N = 3SE +/- 2.53, N = 3SE +/- 5.77, N = 3SE +/- 0.60, N = 3SE +/- 0.42, N = 3SE +/- 2.21, N = 3SE +/- 0.98, N = 313026.1712091.5611996.5910112.229992.157720.587273.717105.735847.704580.083871.573760.662821.192288.331878.741. (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 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32163248648070.1168.5968.0861.8855.9152.9149.4945.6040.8140.3937.0633.8628.5224.3823.03

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P90K180K270K360K450KSE +/- 31.36, N = 3SE +/- 137.59, N = 3SE +/- 205.94, N = 3SE +/- 9.93, N = 3SE +/- 189.45, N = 3SE +/- 32.95, N = 3SE +/- 66.32, N = 3SE +/- 47.74, N = 3SE +/- 100.32, N = 3SE +/- 3.54, N = 3SE +/- 3.30, N = 3SE +/- 4.86, N = 3SE +/- 1.61, N = 3SE +/- 4.12, N = 3SE +/- 4.97, N = 3427545.66400773.38397326.45332363.94328019.70241722.09237596.66232455.68182716.39142756.35120826.81117080.8687851.5871366.1758583.381. (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 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3250010001500200025002387.462315.412265.282071.711829.621741.291705.781476.941407.241400.361278.651163.29961.66850.73783.29

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P40K80K120K160K200KSE +/- 602.57, N = 3SE +/- 1795.92, N = 3SE +/- 558.83, N = 3SE +/- 457.19, N = 3SE +/- 217.28, N = 3SE +/- 157.32, N = 3SE +/- 1288.21, N = 3SE +/- 270.71, N = 3SE +/- 377.08, N = 3SE +/- 417.25, N = 3SE +/- 123.36, N = 3SE +/- 294.16, N = 3SE +/- 183.06, N = 3SE +/- 382.53, N = 3SE +/- 186.09, N = 3197426.57179496.78179226.24152001.95127853.09122762.96112205.01110766.7992207.0776923.3963930.7259431.0346780.9438378.0831690.601. (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 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7642EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3220040060080010001022.61987.36984.98911.37791.90751.29717.75701.63638.73617.90545.34484.49412.61348.06324.00

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P4K8K12K16K20KSE +/- 21.66, N = 3SE +/- 64.33, N = 3SE +/- 57.10, N = 3SE +/- 88.09, N = 3SE +/- 24.65, N = 3SE +/- 32.93, N = 3SE +/- 30.09, N = 3SE +/- 125.44, N = 9SE +/- 16.45, N = 3SE +/- 6.53, N = 3SE +/- 16.90, N = 3SE +/- 17.97, N = 3SE +/- 8.24, N = 3SE +/- 13.57, N = 3SE +/- 24.34, N = 320955.9319990.7519577.0318451.9118192.3217266.2116396.5715568.2413570.839499.339134.728415.197332.825638.534965.961. (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 7662EPYC 7502PEPYC 7552EPYC 7702EPYC 7742EPYC 7542EPYC 7642EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F52306090120150115.18114.89110.23109.94107.24104.78100.8598.2093.4092.0479.4175.3667.5351.3342.43

Stress-NG

Test: Context Switching

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P5M10M15M20M25MSE +/- 206001.50, N = 7SE +/- 163606.09, N = 3SE +/- 235328.27, N = 3SE +/- 29075.41, N = 3SE +/- 79112.63, N = 3SE +/- 65922.96, N = 3SE +/- 19374.10, N = 3SE +/- 55451.20, N = 3SE +/- 28222.94, N = 3SE +/- 30731.73, N = 3SE +/- 35625.01, N = 3SE +/- 32954.83, N = 3SE +/- 15626.15, N = 3SE +/- 6120.44, N = 3SE +/- 9437.39, N = 322318900.9920981193.8820917619.7617727598.8417595501.8113858394.6112896969.6412627261.9310443329.128225794.407003110.186612368.675095560.164265815.033438510.351. (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 7662EPYC 7702EPYC 7742EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3230K60K90K120K150K120719.38117242.06115852.78107976.9397803.2293564.1186092.8280883.7070344.0768963.8663978.3158318.2250370.9341954.8240925.63

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7532EPYC 7642EPYC 7552EPYC 7542EPYC 7742EPYC 7F52EPYC 7502PEPYC 7662EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7282EPYC 7272EPYC 7F321224364860SE +/- 1.06, N = 15SE +/- 0.62, N = 3SE +/- 0.96, N = 12SE +/- 0.67, N = 3SE +/- 1.24, N = 15SE +/- 1.23, N = 12SE +/- 1.28, N = 12SE +/- 0.36, N = 3SE +/- 0.81, N = 15SE +/- 0.69, N = 12SE +/- 0.68, N = 15SE +/- 0.49, N = 13SE +/- 0.37, N = 15SE +/- 0.77, N = 12SE +/- 0.72, N = 1551.3951.1349.7849.1948.8646.3945.2344.3643.7041.1132.7232.5330.1225.1724.851. (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 7542EPYC 7502PEPYC 7552EPYC 7232PEPYC 7402PEPYC 7532EPYC 7642EPYC 7742EPYC 7282EPYC 7302PEPYC 7662EPYC 7272EPYC 7702EPYC 7F52EPYC 7F320.15530.31060.46590.62120.77650.690.660.630.630.620.580.570.560.550.540.530.500.500.470.38

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 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.41, N = 5SE +/- 0.32, N = 5SE +/- 0.27, N = 5SE +/- 0.16, N = 5SE +/- 0.20, N = 5SE +/- 0.18, N = 6SE +/- 0.25, N = 6SE +/- 0.17, N = 6SE +/- 0.03, N = 6SE +/- 0.21, N = 5SE +/- 0.17, N = 5SE +/- 0.09, N = 5SE +/- 0.11, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 485.0083.4079.8263.2162.4059.9457.3256.5354.8742.8437.0435.3830.3826.1321.761. (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 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7642EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.20030.40060.60090.80121.00150.890.860.830.690.680.680.620.610.560.490.440.410.330.320.28

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 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.026, N = 3SE +/- 0.060, N = 3SE +/- 0.003, N = 3SE +/- 0.039, N = 4SE +/- 0.012, N = 3SE +/- 0.032, N = 4SE +/- 0.048, N = 4SE +/- 0.032, N = 3SE +/- 0.043, N = 3SE +/- 0.035, N = 4SE +/- 0.017, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.023, N = 3SE +/- 0.008, N = 36.9856.9666.7526.6786.4946.0915.9585.8665.5635.3334.5064.2253.5933.1842.5361. (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 7742EPYC 7642EPYC 7542EPYC 7502PEPYC 7662EPYC 7552EPYC 7702EPYC 7532EPYC 7282EPYC 7302PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F520.01350.0270.04050.0540.06750.060.060.060.060.060.060.060.050.050.050.050.040.040.030.03

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 7542EPYC 7642EPYC 7552EPYC 7502PEPYC 7662EPYC 7532EPYC 7742EPYC 7402PEPYC 7702EPYC 7302PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P80160240320400SE +/- 6.75, N = 15SE +/- 6.69, N = 15SE +/- 6.16, N = 15SE +/- 5.89, N = 15SE +/- 5.77, N = 15SE +/- 5.85, N = 15SE +/- 5.67, N = 15SE +/- 5.48, N = 15SE +/- 4.45, N = 15SE +/- 2.50, N = 15SE +/- 2.97, N = 15SE +/- 1.82, N = 15SE +/- 1.04, N = 9SE +/- 0.53, N = 7SE +/- 0.51, N = 7350.63346.63336.24334.18332.56325.84322.83319.05305.10242.24230.31229.82184.83124.35107.111. (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 7542EPYC 7502PEPYC 7402PEPYC 7552EPYC 7642EPYC 7662EPYC 7532EPYC 7282EPYC 7742EPYC 7702EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F321.15652.3133.46954.6265.78255.145.004.594.484.114.044.003.893.833.673.553.022.191.901.67

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 7542EPYC 7642EPYC 7662EPYC 7552EPYC 7502PEPYC 7742EPYC 7532EPYC 7402PEPYC 7702EPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P100200300400500SE +/- 0.74, N = 11SE +/- 0.61, N = 10SE +/- 0.96, N = 10SE +/- 0.97, N = 10SE +/- 0.76, N = 11SE +/- 2.40, N = 10SE +/- 1.03, N = 11SE +/- 0.86, N = 11SE +/- 3.60, N = 15SE +/- 0.29, N = 10SE +/- 0.35, N = 10SE +/- 0.36, N = 10SE +/- 0.45, N = 9SE +/- 0.26, N = 8SE +/- 0.15, N = 8459.14458.24448.08445.92437.88437.25426.52413.09409.36316.49295.80263.13239.47167.08144.321. (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 7542EPYC 7502PEPYC 7402PEPYC 7552EPYC 7642EPYC 7662EPYC 7532EPYC 7742EPYC 7282EPYC 7702EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F322468107.387.276.596.576.145.975.705.545.475.285.074.252.762.722.34

Swet

Average

OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7552EPYC 7702EPYC 7662EPYC 7402PEPYC 7302PEPYC 7502PEPYC 7642EPYC 7532EPYC 7272EPYC 7282EPYC 7232P150M300M450M600M750MSE +/- 2325206.90, N = 3SE +/- 2209414.80, N = 3SE +/- 8506660.76, N = 3SE +/- 4045781.60, N = 3SE +/- 807930.96, N = 3SE +/- 2469610.76, N = 3SE +/- 5706451.14, N = 3SE +/- 2164773.96, N = 3SE +/- 3828695.03, N = 3SE +/- 4052005.46, N = 3SE +/- 3622759.74, N = 3SE +/- 1400113.05, N = 3SE +/- 2920022.24, N = 3SE +/- 5177314.46, N = 3SE +/- 6957648.38, N = 36863954196851888106122184256065671226056443646024348856022038426000655725985892285973611975920492255826843335811945885718255805618167721. (CC) gcc options: -lm -lpthread -lcurses -lrt

Swet

Average

OpenBenchmarking.orgOperations Per Second Per Watt, More Is BetterSwet 1.5.16AverageEPYC 7272EPYC 7232PEPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7742EPYC 7662EPYC 7702EPYC 75323M6M9M12M15M14898341.7914546659.1514256393.9213794532.2413255560.1213079157.0812873172.8712821906.8011032151.7410268451.789610601.369410117.789228207.399098672.569008595.44

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: CPUEPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20K40K60K80K100KSE +/- 52.65, N = 5SE +/- 117.22, N = 5SE +/- 97.15, N = 5SE +/- 54.62, N = 5SE +/- 23.00, N = 5SE +/- 20.39, N = 5SE +/- 9.32, N = 5SE +/- 7.32, N = 5SE +/- 12.89, N = 5SE +/- 7.33, N = 5SE +/- 9.93, N = 5SE +/- 10.65, N = 5SE +/- 5.53, N = 5SE +/- 2.64, N = 5SE +/- 1.09, N = 5108892.22108070.73106421.9581398.2980743.8956066.7956038.7255254.6642008.1132649.3627632.1926778.6220091.9616323.9213398.101. (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 7742EPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7642EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F322004006008001000790.51783.68754.73733.57667.05649.06638.23539.88521.63474.66432.15391.60313.31297.08261.75

Sysbench

Test: Memory

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: MemoryEPYC 7282EPYC 7272EPYC 7542EPYC 7502PEPYC 7552EPYC 7662EPYC 7742EPYC 7702EPYC 7232PEPYC 7402PEPYC 7642EPYC 7532EPYC 7F32EPYC 7302PEPYC 7F522M4M6M8M10MSE +/- 11575.58, N = 5SE +/- 1918.40, N = 5SE +/- 8561.16, N = 5SE +/- 5458.69, N = 5SE +/- 14871.56, N = 5SE +/- 35042.66, N = 5SE +/- 18226.83, N = 5SE +/- 11992.02, N = 5SE +/- 12382.78, N = 5SE +/- 6709.34, N = 5SE +/- 25894.00, N = 5SE +/- 61191.25, N = 15SE +/- 717.93, N = 5SE +/- 780.60, N = 5SE +/- 17904.29, N = 57880986.597232205.306618850.246612746.506380400.356374595.126334165.636302136.655942474.375614019.495536026.074720934.264656182.264502591.453087955.631. (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 7282EPYC 7272EPYC 7232PEPYC 7542EPYC 7502PEPYC 7402PEPYC 7F32EPYC 7302PEPYC 7552EPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7532EPYC 7F5230K60K90K120K150K162496.00160055.91141909.12105418.49103730.0593633.6584636.7683787.8180342.2266461.3566221.0162605.7061939.7757649.4037471.23

Tachyon

Total Time

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P306090120150SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 317.5419.0819.1222.5622.8128.5930.9031.5737.7346.5954.8458.4775.0492.16112.391. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7662EPYC 7742EPYC 7702EPYC 7542EPYC 7642EPYC 7502PEPYC 7532EPYC 7552EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P30K60K90K120K150KSE +/- 187.50, N = 3SE +/- 34.57, N = 3SE +/- 280.28, N = 3SE +/- 86.41, N = 3SE +/- 322.42, N = 3SE +/- 76.82, N = 3SE +/- 28.71, N = 3SE +/- 194.69, N = 3SE +/- 193.63, N = 3SE +/- 13.80, N = 3SE +/- 21.22, N = 3SE +/- 63.38, N = 3SE +/- 107.22, N = 3SE +/- 599.00, N = 3SE +/- 22.85, N = 332085.532117.935037.443977.945436.647083.448084.748507.461419.968637.680320.584723.5117060.0133236.0160713.0

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7662EPYC 7742EPYC 7702EPYC 7542EPYC 7642EPYC 7502PEPYC 7532EPYC 7552EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P40K80K120K160K200KSE +/- 61.64, N = 3SE +/- 110.87, N = 3SE +/- 118.11, N = 3SE +/- 72.07, N = 3SE +/- 392.20, N = 3SE +/- 44.27, N = 3SE +/- 69.37, N = 3SE +/- 518.49, N = 3SE +/- 40.77, N = 3SE +/- 61.58, N = 3SE +/- 15.21, N = 3SE +/- 47.75, N = 3SE +/- 28.48, N = 3SE +/- 13.05, N = 3SE +/- 20.79, N = 333024.033434.636468.845118.145818.847911.749078.550401.862904.170154.582490.486277.6120119.0136023.0165426.0

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7542EPYC 7532EPYC 7502PEPYC 7642EPYC 7662EPYC 7742EPYC 7552EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P50K100K150K200K250KSE +/- 115.93, N = 3SE +/- 115.78, N = 3SE +/- 797.17, N = 15SE +/- 34.51, N = 3SE +/- 833.99, N = 6SE +/- 898.32, N = 15SE +/- 275.99, N = 3SE +/- 718.53, N = 15SE +/- 414.30, N = 3SE +/- 244.85, N = 3SE +/- 652.17, N = 3SE +/- 183.23, N = 3SE +/- 219.52, N = 3SE +/- 54.60, N = 3SE +/- 42.10, N = 379313.684263.585462.886140.688093.791245.892153.295873.7105046.0126743.0144445.0151235.0177540.0177928.0212253.0

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P50K100K150K200K250KSE +/- 174.48, N = 3SE +/- 8.41, N = 3SE +/- 39.50, N = 3SE +/- 111.10, N = 3SE +/- 74.34, N = 3SE +/- 77.46, N = 3SE +/- 126.18, N = 3SE +/- 39.58, N = 3SE +/- 6.99, N = 3SE +/- 132.22, N = 3SE +/- 25.85, N = 3SE +/- 38.26, N = 3SE +/- 82.39, N = 3SE +/- 44.74, N = 3SE +/- 202.36, N = 356195.557509.961679.665104.468430.470622.975080.077264.793404.1107391.0123947.0129293.0173807.0201258.0242480.0

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P700K1400K2100K2800K3500KSE +/- 4362.30, N = 3SE +/- 4181.60, N = 3SE +/- 6234.46, N = 7SE +/- 837.49, N = 3SE +/- 149.07, N = 3SE +/- 1818.31, N = 3SE +/- 466.83, N = 3SE +/- 386.91, N = 3SE +/- 1259.14, N = 3SE +/- 1646.01, N = 3SE +/- 366.38, N = 3SE +/- 1027.95, N = 3SE +/- 518.11, N = 3SE +/- 314.32, N = 3SE +/- 326.24, N = 36431506552797026078307308406048935178978849218651206790134615315670701639167224295025929703136920

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P700K1400K2100K2800K3500KSE +/- 3136.75, N = 3SE +/- 5733.03, N = 3SE +/- 6069.08, N = 3SE +/- 1781.71, N = 3SE +/- 425.74, N = 3SE +/- 907.34, N = 3SE +/- 487.90, N = 3SE +/- 143.80, N = 3SE +/- 1233.46, N = 3SE +/- 192.21, N = 3SE +/- 272.21, N = 3SE +/- 565.25, N = 3SE +/- 436.36, N = 3SE +/- 227.03, N = 3SE +/- 1129.29, N = 3700833723699764269938691943229978828100634710343671366410149918317428901820153249374728722273472940

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1530456075SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 323.0323.9824.0325.2125.5027.8629.1229.2332.0733.9839.7442.8649.9254.1568.50

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 7742EPYC 7642EPYC 7662EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P4080120160200SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.31, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.26, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.30, N = 360.3761.8162.2762.4862.5666.5769.4269.6276.1684.2196.77103.74122.41136.62172.13

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P918273645SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 316.7617.1217.1917.6718.0618.9419.2719.4120.4321.6323.5525.4628.2228.6037.72

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.25, N = 7SE +/- 0.28, N = 6SE +/- 0.26, N = 7SE +/- 0.30, N = 6SE +/- 0.30, N = 6SE +/- 0.41, N = 4SE +/- 0.42, N = 4SE +/- 0.42, N = 4SE +/- 0.47, N = 4SE +/- 0.43, N = 3SE +/- 0.65, N = 4SE +/- 0.75, N = 3SE +/- 0.59, N = 3SE +/- 0.46, N = 3SE +/- 0.42, N = 326.7227.9828.1330.0830.2134.5536.3936.8541.5046.9153.4057.9169.6179.66101.09

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P160320480640800SE +/- 0.11, N = 3SE +/- 0.89, N = 3SE +/- 1.73, N = 3SE +/- 1.29, N = 3SE +/- 1.44, N = 3SE +/- 1.12, N = 3SE +/- 1.56, N = 3SE +/- 2.29, N = 3SE +/- 3.16, N = 9SE +/- 2.67, N = 3SE +/- 5.04, N = 4SE +/- 3.68, N = 3SE +/- 0.47, N = 3SE +/- 0.89, N = 3SE +/- 2.05, N = 3224.90233.51234.21243.92245.40275.35280.78289.36312.70343.39404.33440.00529.62581.30763.56

Timed MPlayer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileEPYC 7742EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1020304050SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 312.3312.9612.9913.7113.8215.6916.3816.4618.5920.5724.0626.2731.1435.2545.59

Timed MrBayes Analysis

Primate Phylogeny Analysis

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisEPYC 7F52EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7272EPYC 7232PEPYC 7282EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7742EPYC 7702EPYC 7662306090120150SE +/- 0.24, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.29, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.34, N = 3SE +/- 0.17, N = 3SE +/- 1.17, N = 4SE +/- 1.35, N = 3SE +/- 0.25, N = 3SE +/- 1.02, N = 372.4372.8985.9386.0086.7287.6088.6789.2094.2696.81102.45104.52108.22115.27116.151. (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

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P20406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 341.8742.5643.0643.8243.8444.5545.4446.1046.5447.4152.7555.2259.5660.2075.33

Tinymembench

Standard Memset

OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard MemsetEPYC 7702EPYC 7552EPYC 7F32EPYC 7742EPYC 7642EPYC 7542EPYC 7662EPYC 7F52EPYC 7502PEPYC 7402PEPYC 7282EPYC 7302PEPYC 7532EPYC 7272EPYC 7232P4K8K12K16K20KSE +/- 217.98, N = 3SE +/- 217.68, N = 3SE +/- 28.30, N = 3SE +/- 58.19, N = 9SE +/- 169.52, N = 3SE +/- 39.21, N = 3SE +/- 52.61, N = 3SE +/- 39.37, N = 3SE +/- 13.93, N = 3SE +/- 46.42, N = 3SE +/- 18.80, N = 3SE +/- 20.90, N = 3SE +/- 27.08, N = 3SE +/- 37.39, N = 3SE +/- 21.61, N = 317329.816494.416357.216300.816261.515872.015640.115585.715097.114961.414921.314820.314786.914776.414571.71. (CC) gcc options: -O2 -lm

Tinymembench

Standard Memset

OpenBenchmarking.orgMB/s Per Watt, More Is BetterTinymembench 2018-05-28Standard MemsetEPYC 7272EPYC 7282EPYC 7232PEPYC 7542EPYC 7502PEPYC 7F32EPYC 7402PEPYC 7302PEPYC 7552EPYC 7642EPYC 7702EPYC 7742EPYC 7662EPYC 7F52EPYC 753270140210280350334.79333.88332.00303.95289.31286.11284.81279.72268.71239.76236.78223.59215.62209.76202.28

toyBrot Fractal Generator

Implementation: TBB

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBBEPYC 7742EPYC 7642EPYC 7532EPYC 7282EPYC 7F329K18K27K36K45KSE +/- 56.97, N = 6SE +/- 87.69, N = 5SE +/- 60.14, N = 4SE +/- 162.21, N = 3SE +/- 233.59, N = 3751797231355625411416061. (CXX) g++ options: -O3 -lpthread

toyBrot Fractal Generator

Implementation: OpenMP

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMPEPYC 7742EPYC 7642EPYC 7532EPYC 7282EPYC 7F329K18K27K36K45KSE +/- 8.17, N = 6SE +/- 11.42, N = 5SE +/- 17.05, N = 4SE +/- 4.48, N = 3SE +/- 1.20, N = 3799198921392625388414221. (CXX) g++ options: -O3 -lpthread

toyBrot Fractal Generator

Implementation: C++ Tasks

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ TasksEPYC 7742EPYC 7642EPYC 7532EPYC 7282EPYC 7F329K18K27K36K45KSE +/- 46.30, N = 6SE +/- 24.48, N = 5SE +/- 28.15, N = 4SE +/- 97.58, N = 3SE +/- 11.72, N = 3788098391379825683416791. (CXX) g++ options: -O3 -lpthread

toyBrot Fractal Generator

Implementation: C++ Threads

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ ThreadsEPYC 7742EPYC 7642EPYC 7532EPYC 7282EPYC 7F329K18K27K36K45KSE +/- 10.89, N = 6SE +/- 10.01, N = 5SE +/- 29.85, N = 4SE +/- 18.66, N = 3SE +/- 8.41, N = 3757396521361925426415731. (CXX) g++ options: -O3 -lpthread

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7F32EPYC 7F52EPYC 7542EPYC 7742EPYC 7702EPYC 7502PEPYC 7402PEPYC 7532EPYC 7662EPYC 7552EPYC 7302PEPYC 7642EPYC 7232PEPYC 7272EPYC 7282300K600K900K1200K1500KSE +/- 1531.45, N = 12SE +/- 791.31, N = 12SE +/- 372.53, N = 12SE +/- 584.52, N = 12SE +/- 658.02, N = 11SE +/- 1366.07, N = 11SE +/- 1181.68, N = 11SE +/- 986.25, N = 11SE +/- 1511.23, N = 11SE +/- 587.46, N = 11SE +/- 609.53, N = 11SE +/- 661.25, N = 11SE +/- 504.67, N = 11SE +/- 863.61, N = 11SE +/- 1355.09, N = 1111806821178140103029510280541015858101434210133209994429978099974619971339968059693719690669681491. (CC) gcc options: -O3 -march=native

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7F32EPYC 7232PEPYC 7272EPYC 7282EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7F52EPYC 7552EPYC 7642EPYC 7742EPYC 7532EPYC 7702EPYC 76627K14K21K28K35K31397.3930915.0130478.5729161.1128093.4327950.9227717.3226682.9423615.1223213.2220933.6720309.0720016.6719805.3019457.25

Tungsten Renderer

Scene: Hair

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairEPYC 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P816243240SE +/- 0.03180, N = 6SE +/- 0.02278, N = 6SE +/- 0.02077, N = 6SE +/- 0.03455, N = 5SE +/- 0.04134, N = 5SE +/- 0.02895, N = 5SE +/- 0.00983, N = 5SE +/- 0.03618, N = 5SE +/- 0.02622, N = 4SE +/- 0.03705, N = 4SE +/- 0.02745, N = 3SE +/- 0.03890, N = 3SE +/- 0.03918, N = 3SE +/- 0.01111, N = 3SE +/- 0.03115, N = 37.092977.507067.550938.568288.719539.9284910.5740010.8131012.2623014.1327016.6175017.6542021.9958026.5161032.538801. (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 7742EPYC 7702EPYC 7662EPYC 7642EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.25, N = 3SE +/- 0.41, N = 321.6421.9722.1322.5522.6422.6523.1123.5523.8724.4226.0226.7928.1029.9533.921. (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

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 75, Compression Effort 7EPYC 7542EPYC 7502PEPYC 7402PEPYC 7642EPYC 7742EPYC 7702EPYC 7662EPYC 7552EPYC 7F52EPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60120180240300SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.46, N = 3SE +/- 0.09, N = 3SE +/- 1.62, N = 3SE +/- 1.08, N = 3SE +/- 0.65, N = 3SE +/- 0.90, N = 3SE +/- 0.87, N = 3135.97137.44138.04138.08138.09139.36139.56140.18140.61142.20164.81173.72199.54227.13277.671. (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 7542EPYC 7502PEPYC 7402PEPYC 7742EPYC 7F52EPYC 7642EPYC 7662EPYC 7702EPYC 7552EPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P110220330440550SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.05, N = 3SE +/- 1.43, N = 3SE +/- 0.24, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.98, N = 3SE +/- 2.55, N = 3SE +/- 2.81, N = 3SE +/- 0.26, N = 3SE +/- 0.90, N = 3250.41253.10254.24254.50254.76254.88256.56257.01258.37260.46301.52309.98361.48416.27507.741. (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 7542EPYC 7502PEPYC 7F52EPYC 7402PEPYC 7662EPYC 7532EPYC 7742EPYC 7642EPYC 7702EPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.015, N = 6SE +/- 0.027, N = 6SE +/- 0.012, N = 6SE +/- 0.009, N = 6SE +/- 0.009, N = 6SE +/- 0.010, N = 6SE +/- 0.015, N = 6SE +/- 0.006, N = 6SE +/- 0.012, N = 6SE +/- 0.013, N = 6SE +/- 0.020, N = 5SE +/- 0.012, N = 5SE +/- 0.018, N = 5SE +/- 0.031, N = 4SE +/- 0.032, N = 47.9497.9727.9737.9748.0528.0558.0618.0748.1258.1629.3549.65411.13112.78815.5471. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

x264

H.264 Video Encoding

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7742EPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P50100150200250SE +/- 2.10, N = 15SE +/- 1.83, N = 15SE +/- 1.24, N = 15SE +/- 1.78, N = 15SE +/- 1.18, N = 15SE +/- 0.83, N = 9SE +/- 1.00, N = 9SE +/- 0.75, N = 9SE +/- 0.75, N = 9SE +/- 0.76, N = 9SE +/- 0.59, N = 8SE +/- 0.71, N = 8SE +/- 0.60, N = 7SE +/- 0.33, N = 7SE +/- 0.37, N = 6211.39210.69203.74198.58198.00188.45182.42181.15174.63173.50150.45142.37117.1495.5078.211. (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 7542EPYC 7502PEPYC 7552EPYC 7742EPYC 7662EPYC 7282EPYC 7402PEPYC 7642EPYC 7702EPYC 7302PEPYC 7532EPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.53551.0711.60652.1422.67752.382.322.302.222.222.162.122.082.062.011.931.741.471.311.14

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7662EPYC 7742EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7532EPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P612182430SE +/- 0.21, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 4SE +/- 0.09, N = 325.6525.5725.3625.2325.2125.1325.0423.8423.7120.4420.0320.0017.0910.209.201. (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 7282EPYC 7542EPYC 7502PEPYC 7552EPYC 7402PEPYC 7662EPYC 7272EPYC 7302PEPYC 7742EPYC 7642EPYC 7532EPYC 7702EPYC 7232PEPYC 7F52EPYC 7F320.05180.10360.15540.20720.2590.230.230.220.210.210.200.200.200.190.180.180.180.140.120.11

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 7F52EPYC 7742EPYC 7642EPYC 7702EPYC 7662EPYC 7532EPYC 7542EPYC 7402PEPYC 7502PEPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P816243240SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 9SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 321.4321.9822.0122.0522.0522.0922.3022.4022.4222.5423.1524.9025.6629.6134.511. (CC) gcc options: -pthread -fvisibility=hidden -O2

YafaRay

Total Time For Sample Scene

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneEPYC 7742EPYC 7552EPYC 7542EPYC 7662EPYC 7702EPYC 7642EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P4080120160200SE +/- 0.66, N = 5SE +/- 0.43, N = 14SE +/- 0.43, N = 3SE +/- 0.74, N = 3SE +/- 0.72, N = 15SE +/- 0.60, N = 15SE +/- 0.38, N = 3SE +/- 1.05, N = 3SE +/- 0.21, N = 3SE +/- 1.06, N = 3SE +/- 1.37, N = 3SE +/- 1.73, N = 3SE +/- 0.80, N = 3SE +/- 0.41, N = 3SE +/- 0.97, N = 363.2764.8864.9266.4867.2567.6670.7080.5085.56102.53110.94127.45131.03172.35186.181. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7642EPYC 7532EPYC 7662EPYC 7742EPYC 7702EPYC 7552EPYC 7402PEPYC 7502PEPYC 7F52EPYC 7542EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P2K4K6K8K10KSE +/- 34.97, N = 3SE +/- 14.29, N = 3SE +/- 8.45, N = 3SE +/- 6.83, N = 3SE +/- 33.88, N = 3SE +/- 25.58, N = 3SE +/- 21.24, N = 3SE +/- 18.74, N = 3SE +/- 20.53, N = 3SE +/- 4.93, N = 3SE +/- 34.67, N = 3SE +/- 3.19, N = 3SE +/- 4.75, N = 3SE +/- 6.17, N = 3SE +/- 5.69, N = 38499.28476.38287.78270.48248.38172.08033.07903.67899.77885.07699.46706.26573.96498.45123.21. (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 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7542EPYC 7502PEPYC 7552EPYC 7642EPYC 7232PEPYC 7532EPYC 7662EPYC 7F32EPYC 7742EPYC 7702EPYC 7F52306090120150124.95124.18123.70122.04121.69121.39108.55102.10101.96100.7098.1696.7094.3894.0586.38

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7662EPYC 7742EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P306090120150SE +/- 0.55, N = 3SE +/- 0.38, N = 3SE +/- 1.22, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.79, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3149.6148.8147.5130.1125.7122.7114.4114.396.976.173.866.455.247.037.31. (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 7542EPYC 7742EPYC 7502PEPYC 7662EPYC 7552EPYC 7702EPYC 7642EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.32180.64360.96541.28721.6091.431.381.381.381.331.311.241.201.171.011.000.890.690.660.63


Phoronix Test Suite v10.8.4