AMD EPYC 9005 Benchmarks - Performance vs. Power Determinism

Benchmarks by Michael Larabel for a future article.

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Identifier
Performance Per
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Date
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  Test
  Duration
EPYC 9655
October 14 2024
  9 Hours, 43 Minutes
EPYC 9655 - Power
October 15 2024
  9 Hours, 31 Minutes
EPYC 9755
October 16 2024
  10 Hours, 22 Minutes
EPYC 9755 - Power
October 17 2024
  10 Hours, 12 Minutes
Invert Behavior (Only Show Selected Data)
  9 Hours, 57 Minutes

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AMD EPYC 9005 Benchmarks - Performance vs. Power DeterminismOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 9655 96-Core @ 2.60GHz (96 Cores / 192 Threads)AMD EPYC 9755 128-Core @ 2.70GHz (128 Cores / 256 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC2 x 1920GB KIOXIA KCD8XPUG1T92ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.10.0-phx (x86_64)GCC 13.2.0ext41920x1200ProcessorsMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionAMD EPYC 9005 Benchmarks - Performance Vs. Power DeterminismSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110- OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)- Python 3.12.2- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerResult OverviewPhoronix Test Suite100%116%132%148%miniBUDEoneDNNOSPRay StudioStockfishPrimesieveHelsingm-queensRocksDBOpenSSLACES DGEMMQuantLibASTC EncoderSpeedbBlenderJohn The RipperCoremarksrsRAN ProjectLiquid-DSPEmbreeOSPRayOpenVKL7-Zip CompressionGROMACSuvg266Y-CruncherGraphicsMagickLAMMPS Molecular Dynamics SimulatorNAS Parallel BenchmarksPennantParallel BZIP2 CompressionOpenVINOLuxCoreRenderKvazaarIntel Open Image DenoiseASKAPGPAWOpenRadiossONNX RuntimeNAMDWRFPyTorchOpenFOAMTimed LLVM CompilationXcompact3d Incompact3dSVT-AV1TensorFlowTimed Node.js CompilationMemcachedTimed Linux Kernel CompilationTimed Mesa CompilationClickHouseVVenCx265Timed ImageMagick CompilationAlgebraic Multi-Grid BenchmarkTimed Gem5 CompilationNWChemTimed FFmpeg CompilationTimed Godot Game Engine Compilation

EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerPer Watt Result OverviewPhoronix Test Suite100%122%143%165%186%srsRAN ProjectminiBUDEMemcachedAlgebraic Multi-Grid BenchmarkPyTorchLuxCoreRenderEmbreeACES DGEMMTensorFlowASKAPuvg266VVenCNAS Parallel BenchmarksKvazaarIntel Open Image DenoiseASTC EncoderNAMDLAMMPS Molecular Dynamics SimulatorOpenVKLOSPRayStockfishSVT-AV1GROMACSCoremark7-Zip CompressionGraphicsMagickOpenSSLClickHouseLiquid-DSPQuantLibJohn The RipperSpeedbRocksDBx265P.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

AMD EPYC 9005 Benchmarks - Performance vs. Power Determinismpytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-50minibude: OpenMP - BM1minibude: OpenMP - BM2openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMamg: openvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Kx265: Bosphorus 4Kkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterminibude: OpenMP - BM1minibude: OpenMP - BM2mt-dgemm: Sustained Floating-Point Rateoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlytensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - AlexNetonnx: ArcFace ResNet-100 - CPU - Standardopenvkl: vklBenchmarkCPU ISPCospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpencoremark: CoreMark Size 666 - Iterations Per Secondluxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUsrsran: PDSCH Processor Benchmark, Throughput Totalquantlib: Multi-Threadedaskap: tConvolve MT - Griddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingastcenc: Mediumastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustivestockfish: Chess Benchmarkgromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinlammps: 20k Atomsnamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsspeedb: Rand Readrocksdb: Rand Readmemcached: 1:100clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runjohn-the-ripper: bcryptjohn-the-ripper: Blowfishjohn-the-ripper: WPA PSKliquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512openssl: RSA4096npb: SP.Cnpb: LU.Cnpb: IS.Dnpb: MG.Cnpb: CG.Copenssl: RSA4096pennant: leblancbigpennant: sedovbigonnx: ArcFace ResNet-100 - CPU - Standardospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUonednn: Deconvolution Batch shapes_3d - CPUbuild-linux-kernel: allmodconfigbuild-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-llvm: Ninjabuild-mesa: Time To Compilebuild-imagemagick: Time To Compilewrf: conus 2.5kmm-queens: Time To Solvegpaw: Carbon Nanotubenwchem: C240 Buckyballincompact3d: input.i3d 193 Cells Per Directionopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlycompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionhelsing: 14 digitprimesieve: 1e12primesieve: 1e13y-cruncher: 1BEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power46.7119.2246.52205.643268.20613762559190753901014490147283515182713445994030873076739667144.65173358.4713972.578123.126173.61840.0523288.263506.592393.8610064.758266.34172.9986148.7896136.8035249.291258.613107.42235.7044.4044.9390.0831.9035.959.62322.6685141.0826705.14743.1937655.175.192.47210.141897.88671.97240.072083.4249.8851281441.246042.126642.20302843643204550652.09896416.8012.7424.1923913.0341991.716317.076289162660055898.859791.1566.056681.684411.57577.105321918954317.63245.22256.10312.491474.1889160776965057721537412513777.69740.48755.69763.39237739237823103933363276000006204633333215276666750488.7154462.83315803.137042.53144599.3864867.572029271.73.1365175.47870820.0443869138343096610251629535888331.170.325.847.6856.9819.954.670.727928194.47414.09384.134118.698126.33397.57812.7939.5276147.3347.32927.1881334.17.0955534024.69787424.071752114.28075195.1475679.2091.0312.9732.6716.8040.68116.4716.551.13132559.2862.04224.2156.58948.8419.7448.52220.397275.40214289037133056670358173153038042717314043980971103085977000166.34185028.4015518.658699.176722.70881.1225130.853680.242550.6810744.488640.54180.8031155.2267144.6571265.769273.179112.51736.0147.7048.1996.0434.1338.4010.09124.0695509.9276885.04946.1193035.495.492.66215.322028.18693.23246.032221.8548.8145297643.936644.463143.84613034083544746235.87909418.2913.2425.7025992.5353852.516337.978219667879557262.659791.1605.277188.035712.43447.631623524085918.39748.09859.22613.133204.3573862763312160735029513608100.12750.83774.74771.87249745249945104200066400333336514833333218836666754719.2153956.62323478.527285.36144307.5266383.292136538.12.7677685.21071920.490280912875258099551518833652288.000.315.447.0454.3718.694.370.672670187.32113.78182.535114.801125.34794.81112.7019.4336043.2066.69026.4891292.57.1740517622.94106222.2558113.8233192.7864975.3890.0712.2131.4716.1838.33111.3215.941.07088354.4661.83421.8066.43043.6117.4243.83385.900386.18318666039331372359767240200736535147018377658507473177082000193.80190777.8318679.3611232.268730.881109.7531655.574774.333287.4313949.8910557.16223.2053191.7839179.4494271.924281.589118.16334.2153.4253.9596.8139.1443.859.81023.7439647.4969654.57656.4088905.845.852.85203.332271.95659.11246.242665.9244.1999365455.176254.392754.39583134554036042366.34304720.9413.9632.0219454.1465436.816464.190815984673670762.874093.3701.7315110.038315.71959.657630734392322.72955.79167.77614.244934.6227782210282878689658013316660.10698.12729.56724.64323000323010136133384947333338151900000285546666769037.7194853.91385558.538647.62167026.9388208.362755042.32.7612604.39360622.658663910154203797531198223981329.530.485.627.2257.5719.364.480.513417201.75513.97883.293109.561128.13288.89313.6699.8685574.3635.49223.8221326.26.4780453821.4414620.597089120.3457160.3737873.6777.269.4624.0012.5029.7586.6212.710.93489643.0571.55317.9688.17343.2517.4543.77384.069386.38518622496622374077330627199993902967318386985505203184413333218.20199930.1820954.3411890.899199.751129.2334304.094802.283403.9614033.9510716.32229.2964196.9262184.6136275.540279.701121.92734.3655.5356.2297.8840.9045.859.94824.1519601.7329659.61559.2055146.066.062.96203.722323.46662.67246.592780.1443.9755374156.524855.276155.47583134964326122915.49491221.1614.4630.8420634.2463866.61651292027288227470893.574456.5709.9896113.225216.15999.916331543031622.22357.08669.36214.531444.5773482192599979440007513567376.30697.07729.06724.35325278325647135500085272333338261366667285723333371625.5197015.00383678.738449.11165446.8891585.722788354.72.7064624.10820322.76536219878197577321166623412292.740.465.36.8656.5818.684.450.486509199.60813.90782.933108.747129.00787.66313.6389.8685545.6765.25524.1281301.96.4571834422.85900720.279899120.25556160.7003872.3276.589.5024.2312.4129.4586.8712.740.91267741.8571.45916.7468.068OpenBenchmarking.org

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965590180270360450Min: 22.8 / Avg: 330.62 / Max: 511.84Min: 44.19 / Avg: 324.1 / Max: 500.98Min: 21.26 / Avg: 281.8 / Max: 401.73Min: 41.04 / Avg: 253.26 / Max: 371.62

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power1122334455SE +/- 0.49, N = 3SE +/- 0.29, N = 3SE +/- 0.28, N = 3SE +/- 0.38, N = 343.2543.6146.7148.84MIN: 40.26 / MAX: 45.01MIN: 41.9 / MAX: 45.08MIN: 44.4 / MAX: 48.11MIN: 46.8 / MAX: 50.35

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power510152025SE +/- 0.19, N = 4SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.27, N = 317.4217.4519.2219.74MIN: 16.53 / MAX: 18.16MIN: 16.79 / MAX: 18.16MIN: 18.55 / MAX: 19.77MIN: 18.97 / MAX: 20.57

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96550.04190.08380.12570.16760.20950.1560.1560.1740.186

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power1122334455SE +/- 0.47, N = 4SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 343.7743.8346.5248.52MIN: 41.1 / MAX: 45.21MIN: 41.6 / MAX: 45.11MIN: 44.09 / MAX: 47.73MIN: 46.49 / MAX: 49.53

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 975580160240320400SE +/- 1.46, N = 8SE +/- 1.20, N = 8SE +/- 0.76, N = 10SE +/- 2.67, N = 11205.64220.40384.07385.901. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power80160240320400SE +/- 1.70, N = 3SE +/- 2.16, N = 3SE +/- 3.07, N = 4SE +/- 3.93, N = 4268.21275.40386.18386.391. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 975540000M80000M120000M160000M200000MSE +/- 343661637.22, N = 3SE +/- 143659903.05, N = 3SE +/- 109659436.53, N = 3SE +/- 76407988.26, N = 31376255919071428903713301862249662231866603933131. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power16000M32000M48000M64000M80000MSE +/- 85304308.49, N = 3SE +/- 84288798.91, N = 3SE +/- 163780192.60, N = 3SE +/- 46660762.78, N = 3539010144905667035817372359767240740773306271. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655900M1800M2700M3600M4500M4217409857.514242525981.404339501704.864358545440.70

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755400000M800000M1200000M1600000M2000000MSE +/- 1295376232.10, N = 3SE +/- 1180292536.08, N = 3SE +/- 2715663243.10, N = 3SE +/- 679943093.73, N = 314728351518271530380427173199993902967320073653514701. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power400000M800000M1200000M1600000M2000000MSE +/- 243566219.34, N = 3SE +/- 1492761099.56, N = 3SE +/- 2482404044.78, N = 3SE +/- 836488131.91, N = 313445994030871404398097110183776585074718386985505201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552M4M6M8M10M9428172.229501967.559807760.7911562385.40

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power700M1400M2100M2800M3500MSE +/- 4068843.09, N = 3SE +/- 3204898.91, N = 3SE +/- 6342005.91, N = 3SE +/- 2174206.39, N = 330767396673085977000317708200031844133331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.12, N = 3SE +/- 0.41, N = 3SE +/- 0.32, N = 3SE +/- 0.16, N = 3144.65166.34193.80218.201. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power40K80K120K160K200KSE +/- 658.72, N = 3SE +/- 370.35, N = 3SE +/- 1255.01, N = 3SE +/- 729.29, N = 3173358.47185028.40190777.83199930.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 5.45, N = 3SE +/- 3.28, N = 3SE +/- 13.14, N = 3SE +/- 8.27, N = 313972.5715518.6518679.3620954.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 13.26, N = 3SE +/- 11.71, N = 3SE +/- 2.97, N = 3SE +/- 6.51, N = 38123.128699.1711232.2611890.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 18.33, N = 3SE +/- 11.21, N = 3SE +/- 8.58, N = 3SE +/- 19.66, N = 36173.616722.708730.889199.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 3.01, N = 3SE +/- 1.89, N = 3SE +/- 2.99, N = 3SE +/- 2.19, N = 3840.05881.121109.751129.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power7K14K21K28K35KSE +/- 6.01, N = 3SE +/- 33.00, N = 3SE +/- 0.83, N = 3SE +/- 19.02, N = 323288.2625130.8531655.5734304.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power10002000300040005000SE +/- 4.42, N = 3SE +/- 4.08, N = 3SE +/- 5.09, N = 3SE +/- 3.19, N = 33506.593680.244774.334802.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power7001400210028003500SE +/- 0.98, N = 3SE +/- 4.89, N = 3SE +/- 2.87, N = 3SE +/- 3.67, N = 32393.862550.683287.433403.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 1.05, N = 3SE +/- 8.52, N = 3SE +/- 14.83, N = 3SE +/- 12.50, N = 310064.7510744.4813949.8914033.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 10.75, N = 3SE +/- 5.58, N = 3SE +/- 33.49, N = 3SE +/- 10.73, N = 38266.348640.5410557.1610716.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Embree

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97550.21710.43420.65130.86841.08550.8210.8720.9440.965

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.11, N = 8SE +/- 0.07, N = 8SE +/- 0.06, N = 8SE +/- 0.05, N = 9173.00180.80223.21229.30MIN: 170.04 / MAX: 176.59MIN: 178.16 / MAX: 184.07MIN: 219.93 / MAX: 227.73MIN: 226.03 / MAX: 234.63

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4080120160200SE +/- 0.07, N = 5SE +/- 0.06, N = 5SE +/- 0.14, N = 5SE +/- 0.07, N = 5148.79155.23191.78196.93MIN: 146.45 / MAX: 152.13MIN: 152.81 / MAX: 158.1MIN: 188.36 / MAX: 196.2MIN: 193.84 / MAX: 201.41

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4080120160200SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.11, N = 8SE +/- 0.09, N = 8136.80144.66179.45184.61MIN: 133.41 / MAX: 142.65MIN: 141.2 / MAX: 148.79MIN: 175.01 / MAX: 186.64MIN: 180.02 / MAX: 191.76

SVT-AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.561.121.682.242.82.3502.3532.4662.489

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power60120180240300SE +/- 6.06, N = 15SE +/- 7.29, N = 15SE +/- 7.58, N = 15SE +/- 7.89, N = 15249.29265.77271.92275.541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power0.5781.1561.7342.3122.892.4152.4212.5462.569

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.18810.37620.56430.75240.94050.7720.7780.8290.836

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 975560120180240300SE +/- 1.90, N = 9SE +/- 2.25, N = 9SE +/- 2.09, N = 9SE +/- 2.17, N = 9258.61273.18279.70281.591. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.62, N = 6SE +/- 0.89, N = 6SE +/- 1.10, N = 7SE +/- 0.88, N = 11107.42112.52118.16121.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power816243240SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.25, N = 334.2134.3635.7036.011. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1224364860SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.06, N = 5SE +/- 0.08, N = 544.4047.7053.4255.531. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.06, N = 4SE +/- 0.09, N = 4SE +/- 0.01, N = 5SE +/- 0.03, N = 544.9348.1953.9556.221. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.23, N = 6SE +/- 0.62, N = 7SE +/- 0.49, N = 7SE +/- 0.32, N = 790.0896.0496.8197.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 4SE +/- 0.03, N = 431.9034.1339.1440.90

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1020304050SE +/- 0.05, N = 3SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 435.9538.4043.8545.85

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power3691215SE +/- 0.048, N = 3SE +/- 0.028, N = 3SE +/- 0.039, N = 3SE +/- 0.042, N = 39.6239.8109.94810.0911. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 322.6723.7424.0724.151. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 97552K4K6K8K10KSE +/- 36.48, N = 8SE +/- 30.12, N = 8SE +/- 19.04, N = 10SE +/- 66.65, N = 115141.085509.939601.739647.501. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 42.42, N = 3SE +/- 53.97, N = 3SE +/- 76.86, N = 4SE +/- 98.24, N = 46705.156885.059654.589659.621. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

ACES DGEMM

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97550.05540.11080.16620.22160.2770.2080.2190.2380.246

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.15, N = 7SE +/- 0.15, N = 7SE +/- 0.18, N = 8SE +/- 0.20, N = 843.1946.1256.4159.211. (CC) gcc options: -O3 -march=native -fopenmp

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.00590.01180.01770.02360.02950.0240.0240.0260.026

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power0.00590.01180.01770.02360.02950.0240.0250.0260.026

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 97550.00230.00460.00690.00920.01150.0090.0100.0100.010

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 75.175.495.846.06

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 75.195.495.856.06

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.6661.3321.9982.6643.33SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 5SE +/- 0.00, N = 52.472.662.852.96

TensorFlow

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.20630.41260.61890.82521.03150.6980.7300.8920.917

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power50100150200250SE +/- 0.65, N = 3SE +/- 0.87, N = 3SE +/- 1.14, N = 3SE +/- 0.42, N = 3203.33203.72210.14215.32

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power5001000150020002500SE +/- 9.05, N = 4SE +/- 11.52, N = 4SE +/- 2.78, N = 4SE +/- 2.50, N = 41897.882028.182271.952323.46

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power150300450600750SE +/- 7.40, N = 3SE +/- 8.09, N = 3SE +/- 2.91, N = 3SE +/- 1.63, N = 3659.11662.67671.97693.23

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.52, N = 3SE +/- 0.33, N = 3240.07246.03246.24246.59

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power36912159.3649.4919.5979.623

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power6001200180024003000SE +/- 1.95, N = 3SE +/- 4.41, N = 3SE +/- 2.64, N = 3SE +/- 15.82, N = 32083.422221.852665.922780.14

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551122334455SE +/- 0.41, N = 15SE +/- 0.48, N = 15SE +/- 0.60, N = 3SE +/- 0.07, N = 343.9844.2048.8149.891. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVKL

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965536912158.7348.8689.1569.341

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power8001600240032004000SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 1.86, N = 32814297636543741MIN: 215 / MAX: 36394MIN: 233 / MAX: 37345MIN: 293 / MAX: 42376MIN: 305 / MAX: 43215

OSPRay

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 96550.03020.06040.09060.12080.1510.1270.1280.1300.134

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 96550.03040.06080.09120.12160.1520.1240.1270.1270.135

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96550.0340.0680.1020.1360.170.1370.1430.1440.151

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 341.2543.9455.1856.52

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1224364860SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 342.1344.4654.3955.28

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1224364860SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 342.2043.8554.4055.48

GraphicsMagick

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 96550.31970.63940.95911.27881.59851.3341.3371.4051.421

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70140210280350SE +/- 2.08, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 1.00, N = 32843033133131. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power110220330440550SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 33644084554961. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 33203544034321. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.3M2.6M3.9M5.2M6.5MSE +/- 8964.82, N = 3SE +/- 24173.23, N = 3SE +/- 10789.95, N = 3SE +/- 17530.74, N = 34550652.104746235.886042366.346122915.491. (CC) gcc options: -O2 -lrt" -lrt

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.17, N = 15SE +/- 0.23, N = 15SE +/- 0.33, N = 15SE +/- 0.21, N = 316.8018.2920.9421.16MIN: 15.67 / MAX: 20.23MIN: 16.97 / MAX: 21.39MIN: 19.5 / MAX: 27MIN: 20.29 / MAX: 27.72

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 15SE +/- 0.19, N = 312.7413.2413.9614.46MIN: 6.13 / MAX: 14.49MIN: 6.48 / MAX: 15.17MIN: 6.55 / MAX: 16.95MIN: 7.35 / MAX: 16.92

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755714212835SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.35, N = 15SE +/- 0.52, N = 1524.1925.7030.8432.02MIN: 21.58 / MAX: 32.81MIN: 22.87 / MAX: 34.83MIN: 26.95 / MAX: 43.78MIN: 26.48 / MAX: 43.04

srsRAN Project

OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96552040608010052.3353.3196.1197.41

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power6K12K18K24K30KSE +/- 214.06, N = 3SE +/- 134.59, N = 3SE +/- 146.49, N = 3SE +/- 106.26, N = 319454.120634.223913.025992.51. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

QuantLib

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 975520040060080010001116.731136.471137.921146.37

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755100K200K300K400K500KSE +/- 414.37, N = 3SE +/- 316.52, N = 3SE +/- 359.42, N = 3SE +/- 401.79, N = 3341991.7353852.5463866.6465436.81. (CXX) g++ options: -O3 -march=native -fPIE -pie

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 10.86, N = 3SE +/- 22.76, N = 3SE +/- 0.00, N = 3SE +/- 2.31, N = 316317.016337.916464.116512.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200K400K600K800K1000KSE +/- 660.09, N = 3SE +/- 1100.58, N = 3SE +/- 3530.77, N = 3SE +/- 3611.53, N = 37628917821969081599202721. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200K400K600K800K1000KSE +/- 257.58, N = 3SE +/- 692.69, N = 3SE +/- 276.36, N = 3SE +/- 188.95, N = 36266006787958467368822741. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power15K30K45K60K75KSE +/- 328.80, N = 3SE +/- 601.20, N = 3SE +/- 395.30, N = 3SE +/- 519.97, N = 1555898.857262.670762.870893.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power16K32K48K64K80KSE +/- 380.83, N = 3SE +/- 380.83, N = 3SE +/- 438.43, N = 3SE +/- 308.95, N = 1559791.159791.174093.374456.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power150300450600750SE +/- 1.30, N = 8SE +/- 1.60, N = 8SE +/- 3.94, N = 8SE +/- 6.53, N = 15566.06605.28701.73709.991. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.01, N = 5SE +/- 0.07, N = 5SE +/- 0.02, N = 6SE +/- 0.02, N = 681.6888.04110.04113.231. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.5812.4315.7216.161. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.00680.01360.02040.02720.0340.0280.0280.0300.030

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.0012, N = 3SE +/- 0.0030, N = 3SE +/- 0.0004, N = 3SE +/- 0.0052, N = 37.10537.63169.65769.91631. (CXX) g++ options: -O3 -flto -pthread

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 1024 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70M140M210M280M350MSE +/- 3587851.54, N = 15SE +/- 4142878.23, N = 12SE +/- 4338134.07, N = 15SE +/- 4084095.42, N = 152191895432352408593073439233154303161. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 317.6318.4022.2222.731. (CXX) g++ options: -O3 -lm

LAMMPS Molecular Dynamics Simulator

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power0.10710.21420.32130.42840.53550.4440.4460.4560.476

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.03780.07560.11340.15120.1890.1450.1470.1590.168

NAMD

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.01580.03160.04740.06320.0790.0650.0660.0690.070

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96550.00410.00820.01230.01640.02050.0160.0160.0170.018

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.32, N = 15SE +/- 0.32, N = 11SE +/- 0.31, N = 10SE +/- 0.45, N = 1045.2248.1055.7957.091. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1530456075SE +/- 0.52, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 356.1059.2367.7869.361. (CXX) g++ options: -O3 -lm -ldl

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.02, N = 7SE +/- 0.02, N = 7SE +/- 0.03, N = 7SE +/- 0.03, N = 712.4913.1314.2414.53

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 97551.04012.08023.12034.16045.2005SE +/- 0.00164, N = 3SE +/- 0.00449, N = 3SE +/- 0.01359, N = 3SE +/- 0.00697, N = 34.188914.357384.577344.62277

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755200M400M600M800M1000MSE +/- 696066.18, N = 3SE +/- 707531.18, N = 3SE +/- 300359.50, N = 3SE +/- 707549.54, N = 36077696506276331218219259998221028281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655400K800K1200K1600K2000K1878922.221894471.541905830.821918650.38

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200M400M600M800M1000MSE +/- 4322874.61, N = 3SE +/- 463544.96, N = 3SE +/- 5260460.78, N = 3SE +/- 646946.28, N = 35772153746073502957868965807944000751. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Memcached

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965510K20K30K40K50K37790.6238436.4043796.4747921.24

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power3M6M9M12M15MSE +/- 51257.47, N = 3SE +/- 136953.60, N = 3SE +/- 127571.69, N = 3SE +/- 107977.86, N = 312513777.6913316660.1013567376.3013608100.121. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power160320480640800SE +/- 5.79, N = 3SE +/- 6.12, N = 3SE +/- 1.08, N = 3SE +/- 1.82, N = 3697.07698.12740.48750.83MIN: 82.42 / MAX: 5454.55MIN: 80.86 / MAX: 6666.67MIN: 68.57 / MAX: 8571.43MIN: 73.53 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power2004006008001000SE +/- 5.61, N = 3SE +/- 5.27, N = 3SE +/- 5.05, N = 3SE +/- 4.08, N = 3729.06729.56755.69774.74MIN: 84.27 / MAX: 7500MIN: 81.63 / MAX: 7500MIN: 69.93 / MAX: 7500MIN: 73.71 / MAX: 8571.43

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power170340510680850SE +/- 0.97, N = 3SE +/- 4.70, N = 3SE +/- 0.75, N = 3SE +/- 2.15, N = 3724.35724.64763.39771.87MIN: 81.52 / MAX: 6000MIN: 85.11 / MAX: 6666.67MIN: 69.36 / MAX: 8571.43MIN: 73.53 / MAX: 8571.43

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70K140K210K280K350KSE +/- 23.62, N = 3SE +/- 424.21, N = 3SE +/- 45.32, N = 3SE +/- 191.99, N = 32377392497453230003252781. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96552004006008001000764.24774.58778.22792.83

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 975570014002100280035003341.693348.483375.513396.83

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70K140K210K280K350KSE +/- 7.33, N = 3SE +/- 83.70, N = 3SE +/- 53.35, N = 3SE +/- 32.03, N = 32378232499453230103256471. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755300K600K900K1200K1500KSE +/- 1855.92, N = 3SE +/- 1000.00, N = 3SE +/- 1527.53, N = 3SE +/- 1201.85, N = 310393331042000135500013613331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000MSE +/- 6065476.07, N = 3SE +/- 2315407.33, N = 3SE +/- 14339494.80, N = 3SE +/- 7442296.54, N = 363276000006640033333849473333385272333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000MSE +/- 7992983.03, N = 3SE +/- 2850341.11, N = 3SE +/- 6331139.97, N = 3SE +/- 1068228.02, N = 362046333336514833333815190000082613666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96551.6M3.2M4.8M6.4M8M7176096.557222449.647237709.107245928.17

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power600M1200M1800M2400M3000MSE +/- 1659651.90, N = 3SE +/- 2781686.14, N = 3SE +/- 3925274.23, N = 3SE +/- 1980179.57, N = 321527666672188366667285546666728572333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power15K30K45K60K75KSE +/- 21.59, N = 3SE +/- 138.06, N = 3SE +/- 15.58, N = 3SE +/- 126.11, N = 350488.754719.269037.771625.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

NAS Parallel Benchmarks

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655300600900120015001287.441335.301391.901431.33

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power40K80K120K160K200KSE +/- 412.37, N = 5SE +/- 367.39, N = 5SE +/- 878.07, N = 5SE +/- 629.86, N = 5153956.62154462.83194853.91197015.001. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 975591827364535.3036.7538.1140.04

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 9655300600900120015001148.151175.301197.561272.73

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 975580K160K240K320K400KSE +/- 1611.44, N = 6SE +/- 1953.53, N = 6SE +/- 4917.65, N = 15SE +/- 5529.34, N = 15315803.13323478.52383678.73385558.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 97552K4K6K8K10KSE +/- 41.67, N = 6SE +/- 64.97, N = 6SE +/- 80.37, N = 15SE +/- 55.66, N = 67042.537285.368449.118647.621. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 975540K80K120K160K200KSE +/- 1911.09, N = 15SE +/- 1820.15, N = 15SE +/- 1273.22, N = 15SE +/- 1302.88, N = 15144307.52144599.38165446.88167026.931. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20K40K60K80K100KSE +/- 750.66, N = 15SE +/- 526.39, N = 15SE +/- 618.06, N = 15SE +/- 716.44, N = 1064867.5766383.2988208.3691585.721. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power600K1200K1800K2400K3000KSE +/- 365.28, N = 3SE +/- 1158.12, N = 3SE +/- 331.00, N = 3SE +/- 1824.02, N = 32029271.72136538.12755042.32788354.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.70571.41142.11712.82283.5285SE +/- 0.087065, N = 15SE +/- 0.064100, N = 15SE +/- 0.045208, N = 15SE +/- 0.059060, N = 153.1365172.7677682.7612602.7064621. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.23272.46543.69814.93086.1635SE +/- 0.054129, N = 15SE +/- 0.045321, N = 15SE +/- 0.073388, N = 15SE +/- 0.054249, N = 155.4787085.2107194.3936064.1082031. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3869809639621

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 19.97, N = 3SE +/- 20.87, N = 3SE +/- 3.71, N = 3SE +/- 5.49, N = 31383412875101549878

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power7K14K21K28K35KSE +/- 52.17, N = 3SE +/- 33.02, N = 3SE +/- 39.68, N = 3SE +/- 10.68, N = 330966258092037919757

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 31025955753732

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 14.29, N = 3SE +/- 15.94, N = 3SE +/- 14.19, N = 3SE +/- 3.61, N = 316295151881198211666

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power8K16K24K32K40KSE +/- 11.68, N = 3SE +/- 49.64, N = 3SE +/- 32.92, N = 3SE +/- 33.06, N = 335888336522398123412

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power70140210280350SE +/- 0.26, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3SE +/- 0.67, N = 3331.17329.53292.74288.00MIN: 259.06 / MAX: 360.41MIN: 165.13 / MAX: 354.63MIN: 133.4 / MAX: 322.99MIN: 260.94 / MAX: 324.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.1080.2160.3240.4320.54SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.460.320.31MIN: 0.13 / MAX: 26.24MIN: 0.13 / MAX: 25.58MIN: 0.13 / MAX: 22.72MIN: 0.12 / MAX: 21.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power1.3142.6283.9425.2566.57SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.845.625.445.30MIN: 2.3 / MAX: 25.04MIN: 2.01 / MAX: 29.21MIN: 1.9 / MAX: 24.72MIN: 2.08 / MAX: 28.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.687.227.046.86MIN: 4.09 / MAX: 22.61MIN: 4.48 / MAX: 26.34MIN: 4.45 / MAX: 21.05MIN: 3.75 / MAX: 24.21. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9755EPYC 9655EPYC 9755 - PowerEPYC 9655 - Power1326395265SE +/- 0.16, N = 3SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 357.5756.9856.5854.37MIN: 34.99 / MAX: 106.02MIN: 27.41 / MAX: 98.07MIN: 26.76 / MAX: 102.79MIN: 27.11 / MAX: 90.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 319.9519.3618.6918.68MIN: 10.11 / MAX: 40.96MIN: 9.99 / MAX: 44.41MIN: 9.95 / MAX: 40.46MIN: 9.73 / MAX: 45.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power1.05082.10163.15244.20325.254SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.674.484.454.37MIN: 2.58 / MAX: 20.15MIN: 1.99 / MAX: 22.31MIN: 1.92 / MAX: 23.23MIN: 2.16 / MAX: 18.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.16380.32760.49140.65520.819SE +/- 0.000691, N = 9SE +/- 0.000929, N = 9SE +/- 0.004859, N = 15SE +/- 0.000376, N = 90.7279280.6726700.5134170.486509MIN: 0.63MIN: 0.58MIN: 0.48MIN: 0.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power4080120160200SE +/- 0.88, N = 3SE +/- 1.23, N = 3SE +/- 0.40, N = 3SE +/- 0.42, N = 3201.76199.61194.47187.32

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 7.0Time To CompileEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power48121620SE +/- 0.04, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.03, N = 414.0913.9813.9113.78

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power20406080100SE +/- 0.21, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 384.1383.2982.9382.54

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.21, N = 3SE +/- 0.66, N = 3118.70114.80109.56108.75

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power306090120150SE +/- 0.32, N = 3SE +/- 1.52, N = 3SE +/- 1.17, N = 3SE +/- 1.57, N = 3129.01128.13126.33125.35

Timed LLVM Compilation

This test times how long it takes to compile/build the LLVM compiler stack. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 397.5894.8188.8987.66

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power48121620SE +/- 0.07, N = 4SE +/- 0.06, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 413.6713.6412.7912.70

Timed ImageMagick Compilation

This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power3691215SE +/- 0.035, N = 5SE +/- 0.013, N = 5SE +/- 0.030, N = 5SE +/- 0.036, N = 59.8689.8689.5279.433

WRF

WRF, the Weather Research and Forecasting Model, is a "next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power130026003900520065006147.336043.215574.365545.681. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.013, N = 6SE +/- 0.031, N = 6SE +/- 0.025, N = 7SE +/- 0.018, N = 77.3296.6905.4925.2551. (CXX) g++ options: -fopenmp -O2 -march=native

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755612182430SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 327.1926.4924.1323.821. (CC) gcc options: -shared -lxc -lblas -lmpi

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power300600900120015001334.11326.21301.91292.51. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power246810SE +/- 0.07400503, N = 5SE +/- 0.03188987, N = 5SE +/- 0.01274608, N = 6SE +/- 0.01593429, N = 67.174051767.095553406.478045386.457183441. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 975561218243024.7022.9422.8621.441. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power61218243024.0722.2620.6020.281. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power306090120150120.35120.26114.28113.821. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 97554080120160200195.15192.79160.70160.371. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 379.2075.3873.6772.32

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 391.0390.0777.2676.58

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 97553691215SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 5SE +/- 0.01, N = 512.9712.219.509.46

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755816243240SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 332.6731.4724.2324.00

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 4SE +/- 0.02, N = 416.8016.1812.5012.41

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 340.6838.3329.7529.45

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755306090120150SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3116.47111.3286.8786.62

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 975548121620SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.07, N = 4SE +/- 0.03, N = 416.5515.9412.7412.71

Parallel BZIP2 Compression

This test measures the time needed to compress a file (FreeBSD-13.0-RELEASE-amd64-memstick.img) using Parallel BZIP2 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.13FreeBSD-13.0-RELEASE-amd64-memstick.img CompressionEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.25450.5090.76351.0181.2725SE +/- 0.014837, N = 15SE +/- 0.010945, N = 15SE +/- 0.010948, N = 15SE +/- 0.010896, N = 151.1313251.0708830.9348960.9126771. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Helsing

Helsing is an open-source POSIX vampire number generator. This test profile measures the time it takes to generate vampire numbers between varying numbers of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.26, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 359.2954.4743.0641.861. (CC) gcc options: -O2 -pthread

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.45950.9191.37851.8382.2975SE +/- 0.004, N = 11SE +/- 0.003, N = 11SE +/- 0.004, N = 12SE +/- 0.003, N = 122.0421.8341.5531.4591. (CXX) g++ options: -O3

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 324.2221.8117.9716.751. (CXX) g++ options: -O3

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power246810SE +/- 0.015, N = 5SE +/- 0.020, N = 5SE +/- 0.010, N = 5SE +/- 0.011, N = 68.1738.0686.5896.430

174 Results Shown

CPU Power Consumption Monitor
PyTorch:
  CPU - 256 - ResNet-50
  CPU - 256 - ResNet-152
PyTorch
PyTorch
miniBUDE:
  OpenMP - BM1
  OpenMP - BM2
OpenSSL:
  SHA256
  SHA512
OpenSSL
OpenSSL:
  AES-128-GCM
  AES-256-GCM
Algebraic Multi-Grid Benchmark
Algebraic Multi-Grid Benchmark
OpenVINO:
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Person Re-Identification Retail FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
Embree
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
SVT-AV1
SVT-AV1
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
x265
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
uvg266:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
miniBUDE:
  OpenMP - BM1
  OpenMP - BM2
ACES DGEMM
ACES DGEMM
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RTLightmap.hdr.4096x4096 - CPU-Only
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RTLightmap.hdr.4096x4096 - CPU-Only
TensorFlow
TensorFlow:
  CPU - 256 - ResNet-50
  CPU - 256 - AlexNet
  CPU - 256 - GoogLeNet
  CPU - 512 - ResNet-50
TensorFlow
TensorFlow
ONNX Runtime
OpenVKL
OpenVKL
OSPRay:
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
OSPRay:
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
GraphicsMagick
GraphicsMagick:
  Noise-Gaussian
  Enhanced
  Sharpen
Coremark
LuxCoreRender:
  DLSC - CPU
  LuxCore Benchmark - CPU
  Orange Juice - CPU
srsRAN Project
srsRAN Project
QuantLib
QuantLib
ASKAP
7-Zip Compression:
  Compression Rating
  Decompression Rating
ASKAP:
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
ASTC Encoder:
  Medium
  Thorough
  Very Thorough
ASTC Encoder
ASTC Encoder
Stockfish
GROMACS
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
  ATPase with 327,506 Atoms
  STMV with 1,066,628 Atoms
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
NAMD:
  ATPase with 327,506 Atoms
  STMV with 1,066,628 Atoms
Speedb
RocksDB
RocksDB
Memcached
Memcached
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
John The Ripper
John The Ripper:
  Blowfish
  WPA PSK
John The Ripper:
  Blowfish
  WPA PSK
Liquid-DSP:
  256 - 256 - 32
  256 - 256 - 57
Liquid-DSP
Liquid-DSP
OpenSSL
NAS Parallel Benchmarks
NAS Parallel Benchmarks
NAS Parallel Benchmarks:
  IS.D
  MG.C
NAS Parallel Benchmarks:
  LU.C
  IS.D
  MG.C
  CG.C
OpenSSL
Pennant:
  leblancbig
  sedovbig
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 32 - Path Tracer - CPU
  3 - 4K - 1 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
  3 - 4K - 32 - Path Tracer - CPU
OpenVINO:
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Person Re-Identification Retail FP16 - CPU
oneDNN
Timed Linux Kernel Compilation
Timed FFmpeg Compilation
Timed Godot Game Engine Compilation
Timed Node.js Compilation
Timed Gem5 Compilation
Timed LLVM Compilation
Timed Mesa Compilation
Timed ImageMagick Compilation
WRF
m-queens
GPAW
NWChem
Xcompact3d Incompact3d
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
OpenRadioss:
  INIVOL and Fluid Structure Interaction Drop Container
  Chrysler Neon 1M
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
  Junkshop - CPU-Only
Parallel BZIP2 Compression
Helsing
Primesieve:
  1e12
  1e13
Y-Cruncher