AMD EPYC 5th Gen Benchmarks - Performance vs. Power Determinism

Benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2411056-NE-TURINPOWE18
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Date
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  Test
  Duration
EPYC 9755
October 16
  11 Hours, 54 Minutes
EPYC 9755 - Power
October 17
  11 Hours, 44 Minutes
EPYC 9655
October 14
  10 Hours, 47 Minutes
EPYC 9655 - Power
October 15
  10 Hours, 34 Minutes
EPYC 9655 2P
October 13
  11 Hours, 58 Minutes
EPYC 9655 2P - Power
October 14
  11 Hours, 11 Minutes
Invert Behavior (Only Show Selected Data)
  11 Hours, 21 Minutes

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AMD EPYC 5th Gen Benchmarks - Performance vs. Power DeterminismProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerAMD 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 13.2.0ext41920x1200AMD EPYC 9655 96-Core @ 2.60GHz (96 Cores / 192 Threads)2 x AMD EPYC 9655 96-Core @ 2.60GHz (192 Cores / 384 Threads)1520GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110Java Details- OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)Python Details- Python 3.12.2Security Details- 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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerResult OverviewPhoronix Test Suite100%129%157%186%214%HelsingNAMDXcompact3d Incompact3dRocksDBQuantLibOSPRay StudioOpenSSLSpeedbStockfishOpenVINOACES DGEMMPrimesieveJohn The RipperLULESHBlenderONNX RuntimeAlgebraic Multi-Grid BenchmarkWRFCoremarkOSPRayNAS Parallel BenchmarksPennantPyTorchGROMACSOpenVKLm-queensminiBUDEASTC Encoderuvg266Embree7-Zip CompressionOpenRadiossTimed Linux Kernel CompilationoneDNNTimed LLVM CompilationLAMMPS Molecular Dynamics SimulatorASKAPGraphicsMagickKvazaarTimed Node.js CompilationOpenFOAMLiquid-DSPIntel Open Image DenoiseLuxCoreRenderY-CrunchersrsRAN ProjectParallel BZIP2 CompressionGPAWTimed FFmpeg CompilationTimed Gem5 CompilationMemcachedTensorFlowCloverLeafTimed Mesa CompilationTimed Godot Game Engine CompilationWebP Image EncodeSecureMarkNumpy BenchmarkTimed ImageMagick CompilationSVT-AV1ClickHouseNWChemx265

EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerPer Watt Result OverviewPhoronix Test Suite100%155%211%266%322%NAMDLULESHACES DGEMMAlgebraic Multi-Grid BenchmarkASKAPNAS Parallel BenchmarksPyTorchCoremarkOpenSSLQuantLibJohn The RipperRocksDBStockfishSpeedbGROMACSOSPRayuvg266EmbreeOpenVKLminiBUDE7-Zip CompressionLuxCoreRendersrsRAN ProjectASTC EncoderGraphicsMagickKvazaarLiquid-DSPMemcachedSecureMarkLAMMPS Molecular Dynamics SimulatorNumpy BenchmarkTensorFlowWebP Image EncodeSVT-AV1Intel Open Image DenoiseClickHousex265P.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.MP.W.G.MP.W.G.MP.W.G.M

AMD EPYC 5th Gen Benchmarks - Performance vs. Power Determinismpytorch: CPU - 256 - ResNet-152pytorch: CPU - 256 - ResNet-50pytorch: CPU - 512 - ResNet-50minibude: OpenMP - BM1minibude: OpenMP - BM2openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305amg: openvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - 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 4 - 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 - 512 - ResNet-50tensorflow: CPU - 512 - AlexNettensorflow: CPU - 256 - GoogLeNetonnx: 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 Secondaircrack-ng: luxcorerender: Orange Juice - CPUluxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUsecuremark: SecureMark-TLSsrsran: PDSCH Processor Benchmark, Throughput Totalsrsran: PDSCH Processor Benchmark, Throughput Threadquantlib: Multi-Threadedaskap: tConvolve MT - Griddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingwebp: Quality 100, Highest Compressionaskap: 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 Atomsrocksdb: Rand Readspeedb: 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: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKliquid-dsp: 64 - 256 - 32liquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512numpy: openssl: RSA4096npb: LU.Cnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Copenssl: RSA4096lulesh: pennant: 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: Person Detection FP16 - 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: defconfigbuild-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 Solvecloverleaf: clover_bm64_shortcloverleaf: clover_bm16gpaw: 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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power17.4243.6143.83385.900386.183186660393313723597672402007365351470183776585074711863592944508070098414273177082000193.80190777.83733.8018679.3611232.268730.881109.7531655.574774.333287.4313949.8910557.16223.2053191.7839179.4494271.92411.275281.589118.16334.2153.4253.9596.8139.1443.859.81023.7439647.4969654.57656.4088905.845.852.85203.332271.95246.242665.92659.1144.1999365455.176254.392754.39583134554036042366.343047133016.39132.0220.9413.9640545419454.1994.0465436.816464.19081598467363.9070762.874093.3701.7315110.038315.71959.657630734392322.72955.79167.77614.244934.6227778689658082210282813316660.10698.12729.56724.6432301032300013613332784566667849473333381519000002855466667795.8369037.7385558.53194853.918647.62167026.9388208.362755042.337645.9732.7612604.39360622.658663910154203797531198223981329.530.4887.145.627.2257.5719.364.480.51341723.344201.75513.97883.293109.561128.13288.89313.6699.8685574.3635.49222.09178.9323.8221326.26.4780453821.4414620.597089120.3457160.3737873.6777.269.4624.0012.5029.7586.6212.710.93489643.0571.55317.9688.17317.4543.2543.77384.069386.385186224966223740773306271999939029673183869855052011851553682778063550691873184413333218.20199930.18715.7220954.3411890.899199.751129.2334304.094802.283403.9614033.9510716.32229.2964196.9262184.6136275.54011.271279.701121.92734.3655.5356.2297.8840.9045.859.94824.1519601.7329659.61559.2055146.066.062.96203.722323.46246.592780.14662.6743.9755374156.524855.276155.47583134964326122915.494912132331.06330.8421.1614.4640603620634.21002.6463866.6165129202728822743.8970893.574456.5709.9896113.225216.15999.916331543031622.22357.08669.36214.531444.5773479440007582192599913567376.30697.07729.06724.3532564732527813550002783300000852723333382613666672857233333795.7771625.5383678.73197015.008449.11165446.8891585.722788354.737688.0722.7064624.10820322.76536219878197577321166623412292.740.4689.405.36.8656.5818.684.450.48650923.339199.60813.90782.933108.747129.00787.66313.6389.8685545.6765.25522.01179.3924.1281301.96.4571834422.85900720.279899120.25556160.7003872.3276.589.5024.2312.4129.4586.8712.740.91267741.8571.45916.7468.06819.2246.7146.52205.643268.20613762559190753901014490147283515182713445994030879054096342136156273628503076739667144.65173358.47686.9113972.578123.126173.61840.0523288.263506.592393.8610064.758266.34172.9986148.7896136.8035249.29111.285258.613107.42235.7044.4044.9390.0831.9035.959.62322.6685141.0826705.14743.1937655.175.192.47210.141897.88240.072083.42671.9749.8851281441.246042.126642.20302843643204550652.098964141244.57824.1916.8012.7443971523913.01076.5341991.716317.07628916266004.2755898.859791.1566.056681.684411.57577.105321918954317.63245.22256.10312.491474.1889157721537460776965012513777.69740.48755.69763.3923782323773910393332937233333632760000062046333332152766667870.0350488.7315803.13154462.837042.53144599.3864867.572029271.735503.6853.1365175.47870820.0443869138343096610251629535888331.170.3269.725.847.6856.9819.954.670.72792822.713194.47414.09384.134118.698126.33397.57812.7939.5276147.3347.32921.49175.9727.1881334.17.0955534024.69787424.071752114.28075195.1475679.2091.0312.9732.6716.8040.68116.4716.551.13132559.2862.04224.2156.58919.7448.8448.52220.397275.40214289037133056670358173153038042717314043980971109081726662876182082660133085977000166.34185028.40711.2615518.658699.176722.70881.1225130.853680.242550.6810744.488640.54180.8031155.2267144.6571265.76911.681273.179112.51736.0147.7048.1996.0434.1338.4010.09124.0695509.9276885.04946.1193035.495.492.66215.322028.18246.032221.85693.2348.8145297643.936644.463143.84613034083544746235.879094153599.30725.7018.2913.2444590825992.51071.4353852.516337.97821966787954.2657262.659791.1605.277188.035712.43447.631623524085918.39748.09859.22613.133204.3573860735029562763312113608100.12750.83774.74771.8724994524974510420003022533333664003333365148333332188366667863.9954719.2323478.52153956.627285.36144307.5266383.292136538.135779.6492.7677685.21071920.490280912875258099551518833652288.000.3167.345.447.0454.3718.694.370.67267022.286187.32113.78182.535114.801125.34794.81112.7019.4336043.2066.69021.56175.9726.4891292.57.1740517622.94106222.2558113.8233192.7864975.3890.0712.2131.4716.1838.33111.3215.941.07088354.4661.83421.8066.43011.5726.3226.98301.124430.12227497263760010720475905029495546933702682968686683179611654471712213867056735961230333292.34210660.461470.1329775.2116407.9511417.021491.9549343.566976.194918.4418938.6511384.88262.0596220.1741229.6906250.39411.186253.989109.18435.4570.6572.3886.1751.6854.247528.09310753.05179.5972634.544.402.22184.471989.89238.492616.59511.2825.6860463477.534474.199574.49663345204758395282.20935435.3624.3412.3944012615913.21056.9690813.613058.4107850610160404.28106165114525598.5116130.017521.396113.032242683988129.47366.53575.78827.179607.936611155058979119987191813798695.25721.43735.48741.4346041645559720015002956733333909310000089266333333561366667871.91100988.8589945.23329784.5413161.52237346.22109363.454049226.369266.9301.8693503.02176339.1375451714914290532844816987163.970.232.632.924.1932.139.752.530.61093918.012117.46612.14476.43384.492112.43467.19812.2859.0453241.0044.60720.67230.3723.7701299.43.4886748422.79757216.816965133.9042888.28909365.6149.736.6616.619.0120.6461.509.610.89200929.9871.19612.4778.39511.6226.5427.38309.720448.00528335531852311222093631330381428515732796096165297179825463159312225333203375974358333318.19212321.991545.6633372.0617500.3812204.111548.7055029.537387.045259.2520214.9711848.72264.4782223.9959242.2842266.96311.409274.240113.91835.6474.8876.3190.6753.8156.257742.99111200.13386.2180574.684.782.32190.342066.99238.822690.50514.7028.6068484781.550577.319477.47213435634998763837.02232738.5325.8512.4344210617008.11066.8710294.613000.7109546610709354.27109234118087607.8989140.996922.578714.016944121776731.07069.48478.45128.762538.150721201420521124135395614267081.69728.91736.37747.9547426547249820054003021433333945043333392130333333598133333872.29108838.9610380.70334250.9713249.55245220.03110940.144229820.469836.3501.8002692.85729134.9552426673113459506802115981150.680.1831.042.743.9330.959.122.370.56154317.835115.27112.12776.11086.974112.96366.46212.3499.0773244.3734.42920.39231.7723.14112543.4457211921.59263516.157032114.9892686.21336463.0948.436.4016.038.5619.8459.239.360.88279227.6741.10911.2478.329OpenBenchmarking.org

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 9655 2PEPYC 9655EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 22.76 / Avg: 253.2 / Max: 382.79Min: 41.04 / Avg: 253.26 / Max: 371.62Min: 22.1 / Avg: 280.39 / Max: 402.02Min: 21.26 / Avg: 281.8 / Max: 401.73Min: 44.19 / Avg: 324.1 / Max: 500.98Min: 22.8 / Avg: 330.62 / Max: 511.84

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-152EPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P510152025SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.19, N = 4SE +/- 0.17, N = 12SE +/- 0.16, N = 1219.7419.2217.4517.4211.6211.57MIN: 18.97 / MAX: 20.57MIN: 18.55 / MAX: 19.77MIN: 16.79 / MAX: 18.16MIN: 16.53 / MAX: 18.16MIN: 4.7 / MAX: 13.82MIN: 5.56 / MAX: 12.98

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.04210.08420.12630.16840.21050.1870.1760.1550.1540.0960.084

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P1122334455SE +/- 0.38, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.49, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 748.8446.7143.6143.2526.5426.32MIN: 46.8 / MAX: 50.35MIN: 44.4 / MAX: 48.11MIN: 41.9 / MAX: 45.08MIN: 40.26 / MAX: 45.01MIN: 24.56 / MAX: 27.7MIN: 17.67 / MAX: 29.73

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P1122334455SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 4SE +/- 0.32, N = 15SE +/- 0.40, N = 1548.5246.5243.8343.7727.3826.98MIN: 46.49 / MAX: 49.53MIN: 44.09 / MAX: 47.73MIN: 41.6 / MAX: 45.11MIN: 41.1 / MAX: 45.21MIN: 17.08 / MAX: 31.28MIN: 18.25 / MAX: 31.34

miniBUDE

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - Power0.48240.96481.44721.92962.4122.1442.0581.9541.8861.1941.188

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power0.35550.7111.06651.4221.77751.5801.5641.1001.0870.9480.921

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 965580160240320400SE +/- 2.67, N = 11SE +/- 0.76, N = 10SE +/- 9.09, N = 13SE +/- 8.30, N = 15SE +/- 1.20, N = 8SE +/- 1.46, N = 8385.90384.07309.72301.12220.40205.641. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655100200300400500SE +/- 4.30, N = 15SE +/- 5.30, N = 15SE +/- 3.93, N = 4SE +/- 3.07, N = 4SE +/- 2.16, N = 3SE +/- 1.70, N = 3448.01430.12386.39386.18275.40268.211. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965560000M120000M180000M240000M300000MSE +/- 384856106.88, N = 3SE +/- 182816536.21, N = 3SE +/- 76407988.26, N = 3SE +/- 109659436.53, N = 3SE +/- 143659903.05, N = 3SE +/- 343661637.22, N = 32833553185232749726376001866603933131862249662231428903713301376255919071. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520000M40000M60000M80000M100000MSE +/- 41276678.86, N = 3SE +/- 334242164.38, N = 3SE +/- 46660762.78, N = 3SE +/- 163780192.60, N = 3SE +/- 84288798.91, N = 3SE +/- 85304308.49, N = 3112220936313107204759050740773306277235976724056670358173539010144901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655700000M1400000M2100000M2800000M3500000MSE +/- 1171219798.83, N = 3SE +/- 325870485.63, N = 3SE +/- 679943093.73, N = 3SE +/- 2715663243.10, N = 3SE +/- 1180292536.08, N = 3SE +/- 1295376232.10, N = 33038142851573294955469337020073653514701999939029673153038042717314728351518271. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power700M1400M2100M2800M3500M3416509479.963243864254.541790086074.831746071268.121727334073.191717528135.79

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655600000M1200000M1800000M2400000M3000000MSE +/- 1439419832.95, N = 3SE +/- 3021247793.93, N = 3SE +/- 836488131.91, N = 3SE +/- 2482404044.78, N = 3SE +/- 1492761099.56, N = 3SE +/- 243566219.34, N = 32796096165297268296868668318386985505201837765850747140439809711013445994030871. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655400000M800000M1200000M1600000M2000000MSE +/- 610791897.39, N = 3SE +/- 200687972.98, N = 3SE +/- 507390352.95, N = 3SE +/- 339596989.72, N = 3SE +/- 218675473.81, N = 3SE +/- 211781187.22, N = 317982546315931796116544717118635929445011851553682779081726662879054096342131. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655300000M600000M900000M1200000M1500000MSE +/- 840797691.41, N = 3SE +/- 567847363.95, N = 3SE +/- 89801965.81, N = 3SE +/- 403700022.50, N = 3SE +/- 245600409.78, N = 3SE +/- 139220101.42, N = 3122253332033712213867056738070098414278063550691876182082660136156273628501. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551300M2600M3900M5200M6500MSE +/- 16519338.83, N = 3SE +/- 18981834.93, N = 3SE +/- 2174206.39, N = 3SE +/- 6342005.91, N = 3SE +/- 3204898.91, N = 3SE +/- 4068843.09, N = 35974358333596123033331844133333177082000308597700030767396671. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570140210280350SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 0.41, N = 3SE +/- 0.12, N = 3318.19292.34218.20193.80166.34144.651. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965550K100K150K200K250KSE +/- 477.06, N = 3SE +/- 2494.88, N = 4SE +/- 729.29, N = 3SE +/- 1255.01, N = 3SE +/- 370.35, N = 3SE +/- 658.72, N = 3212321.99210660.46199930.18190777.83185028.40173358.471. (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 Detection FP16 - Device: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965530060090012001500SE +/- 9.29, N = 3SE +/- 3.94, N = 3SE +/- 4.77, N = 15SE +/- 6.66, N = 15SE +/- 2.13, N = 3SE +/- 0.53, N = 31545.661470.13733.80715.72711.26686.911. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96557K14K21K28K35KSE +/- 67.46, N = 3SE +/- 18.16, N = 3SE +/- 8.27, N = 3SE +/- 13.14, N = 3SE +/- 3.28, N = 3SE +/- 5.45, N = 333372.0629775.2120954.3418679.3615518.6513972.571. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96554K8K12K16K20KSE +/- 17.68, N = 3SE +/- 8.73, N = 3SE +/- 6.51, N = 3SE +/- 2.97, N = 3SE +/- 11.71, N = 3SE +/- 13.26, N = 317500.3816407.9511890.8911232.268699.178123.121. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 5.69, N = 3SE +/- 31.28, N = 3SE +/- 19.66, N = 3SE +/- 8.58, N = 3SE +/- 11.21, N = 3SE +/- 18.33, N = 312204.1111417.029199.758730.886722.706173.611. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965530060090012001500SE +/- 4.43, N = 3SE +/- 1.75, N = 3SE +/- 2.19, N = 3SE +/- 2.99, N = 3SE +/- 1.89, N = 3SE +/- 3.01, N = 31548.701491.951129.231109.75881.12840.051. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965512K24K36K48K60KSE +/- 227.08, N = 3SE +/- 128.37, N = 3SE +/- 19.02, N = 3SE +/- 0.83, N = 3SE +/- 33.00, N = 3SE +/- 6.01, N = 355029.5349343.5634304.0931655.5725130.8523288.261. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965516003200480064008000SE +/- 3.46, N = 3SE +/- 12.20, N = 3SE +/- 3.19, N = 3SE +/- 5.09, N = 3SE +/- 4.08, N = 3SE +/- 4.42, N = 37387.046976.194802.284774.333680.243506.591. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965511002200330044005500SE +/- 12.07, N = 3SE +/- 3.52, N = 3SE +/- 3.67, N = 3SE +/- 2.87, N = 3SE +/- 4.89, N = 3SE +/- 0.98, N = 35259.254918.443403.963287.432550.682393.861. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96554K8K12K16K20KSE +/- 7.55, N = 3SE +/- 14.09, N = 3SE +/- 12.50, N = 3SE +/- 14.83, N = 3SE +/- 8.52, N = 3SE +/- 1.05, N = 320214.9718938.6514033.9513949.8910744.4810064.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 101.98, N = 3SE +/- 91.27, N = 3SE +/- 10.73, N = 3SE +/- 33.49, N = 3SE +/- 5.58, N = 3SE +/- 10.75, N = 311848.7211384.8810716.3210557.168640.548266.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

SVT-AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P0.561.121.682.242.82.4892.4662.3532.3502.2372.228

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P0.5781.1561.7342.3122.892.5692.5462.4212.4152.2952.293

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.18810.37620.56430.75240.94050.8360.8290.7780.7720.7510.737

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965560120180240300SE +/- 1.39, N = 8SE +/- 2.22, N = 15SE +/- 0.05, N = 9SE +/- 0.06, N = 8SE +/- 0.07, N = 8SE +/- 0.11, N = 8264.48262.06229.30223.21180.80173.00MIN: 212.5 / MAX: 306.56MIN: 209.29 / MAX: 297.79MIN: 226.03 / MAX: 234.63MIN: 219.93 / MAX: 227.73MIN: 178.16 / MAX: 184.07MIN: 170.04 / MAX: 176.59

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965550100150200250SE +/- 1.49, N = 15SE +/- 1.69, N = 15SE +/- 0.07, N = 5SE +/- 0.14, N = 5SE +/- 0.06, N = 5SE +/- 0.07, N = 5224.00220.17196.93191.78155.23148.79MIN: 198.29 / MAX: 258.4MIN: 192.38 / MAX: 242.25MIN: 193.84 / MAX: 201.41MIN: 188.36 / MAX: 196.2MIN: 152.81 / MAX: 158.1MIN: 146.45 / MAX: 152.13

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965550100150200250SE +/- 0.54, N = 8SE +/- 1.81, N = 8SE +/- 0.09, N = 8SE +/- 0.11, N = 8SE +/- 0.03, N = 7SE +/- 0.03, N = 7242.28229.69184.61179.45144.66136.80MIN: 218.62 / MAX: 262.46MIN: 202.63 / MAX: 249.19MIN: 180.02 / MAX: 191.76MIN: 175.01 / MAX: 186.64MIN: 141.2 / MAX: 148.79MIN: 133.41 / MAX: 142.65

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 965560120180240300SE +/- 7.89, N = 15SE +/- 7.58, N = 15SE +/- 7.49, N = 15SE +/- 7.29, N = 15SE +/- 6.77, N = 15SE +/- 6.06, N = 15275.54271.92266.96265.77250.39249.291. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P3691215SE +/- 0.08, N = 4SE +/- 0.10, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.07, N = 411.6811.4111.2911.2811.2711.191. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655EPYC 9655 2P60120180240300SE +/- 2.17, N = 9SE +/- 2.09, N = 9SE +/- 2.21, N = 15SE +/- 2.25, N = 9SE +/- 1.90, N = 9SE +/- 1.78, N = 15281.59279.70274.24273.18258.61253.991. (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 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 9655306090120150SE +/- 0.88, N = 11SE +/- 1.10, N = 7SE +/- 0.77, N = 15SE +/- 0.89, N = 6SE +/- 1.00, N = 6SE +/- 0.62, N = 6121.93118.16113.92112.52109.18107.421. (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 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755816243240SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 336.0135.7035.6435.4534.3634.211. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.69, N = 6SE +/- 0.47, N = 14SE +/- 0.08, N = 5SE +/- 0.06, N = 5SE +/- 0.08, N = 4SE +/- 0.03, N = 474.8870.6555.5353.4247.7044.401. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.50, N = 6SE +/- 0.40, N = 5SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.09, N = 4SE +/- 0.06, N = 476.3172.3856.2253.9548.1944.931. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9655EPYC 9655 2P20406080100SE +/- 0.32, N = 7SE +/- 0.49, N = 7SE +/- 0.62, N = 7SE +/- 0.53, N = 6SE +/- 0.23, N = 6SE +/- 0.29, N = 697.8896.8196.0490.6790.0886.171. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551224364860SE +/- 0.17, N = 5SE +/- 0.17, N = 4SE +/- 0.03, N = 4SE +/- 0.09, N = 4SE +/- 0.04, N = 3SE +/- 0.05, N = 353.8151.6840.9039.1434.1331.90

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.35, N = 5SE +/- 0.26, N = 5SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 356.2554.2445.8543.8538.4035.95

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 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96553691215SE +/- 0.042, N = 3SE +/- 0.039, N = 3SE +/- 0.028, N = 3SE +/- 0.048, N = 310.0919.9489.8109.6231. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Video Input: Bosphorus 4K - Video Preset: Fast

EPYC 9655 2P: The test quit with a non-zero exit status. E: Parameter Check Error: Number of threads out of range (-1

EPYC 9655 2P - Power: The test quit with a non-zero exit status. E: Parameter Check Error: Number of threads out of range (-1

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 9655612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 324.1524.0723.7422.671. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Video Input: Bosphorus 4K - Video Preset: Faster

EPYC 9655 2P: The test quit with a non-zero exit status. E: Parameter Check Error: Number of threads out of range (-1

EPYC 9655 2P - Power: The test quit with a non-zero exit status. E: Parameter Check Error: Number of threads out of range (-1

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 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 66.65, N = 11SE +/- 19.04, N = 10SE +/- 227.27, N = 13SE +/- 207.48, N = 15SE +/- 30.12, N = 8SE +/- 36.48, N = 89647.509601.737742.997528.095509.935141.081. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 107.41, N = 15SE +/- 132.52, N = 15SE +/- 98.24, N = 4SE +/- 76.86, N = 4SE +/- 53.97, N = 3SE +/- 42.42, N = 311200.1310753.059659.629654.586885.056705.151. (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 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.11180.22360.33540.44720.5590.4970.4810.2460.2380.2190.208

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.18, N = 10SE +/- 0.17, N = 9SE +/- 0.20, N = 8SE +/- 0.18, N = 8SE +/- 0.15, N = 7SE +/- 0.15, N = 786.2279.6059.2156.4146.1243.191. (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 9655 - PowerEPYC 9655EPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 2P - Power0.00590.01180.01770.02360.02950.0260.0260.0240.0240.0240.022

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P0.00590.01180.01770.02360.02950.0260.0260.0250.0240.0230.022

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9655 2PEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9655 2P - PowerEPYC 9755 - Power0.00230.00460.00690.00920.01150.0100.0100.0100.0100.0090.009

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.11, N = 15SE +/- 0.07, N = 156.065.845.495.174.684.54

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.08, N = 15SE +/- 0.06, N = 156.065.855.495.194.784.40

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P0.6661.3321.9982.6643.33SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.04, N = 15SE +/- 0.04, N = 122.962.852.662.472.322.22

TensorFlow

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.19240.38480.57720.76960.9620.8550.8370.7680.7060.6590.631

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power369121511.18911.1439.7559.5679.5589.516

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9655 2PEPYC 9755 - PowerEPYC 9655 2P - Power0.63341.26681.90022.53363.1672.8152.7472.2432.1562.1521.943

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.21490.42980.64470.85961.07450.9550.9170.8920.8880.7300.698

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P50100150200250SE +/- 0.42, N = 3SE +/- 1.14, N = 3SE +/- 0.87, N = 3SE +/- 0.65, N = 3SE +/- 0.71, N = 3SE +/- 1.84, N = 3215.32210.14203.72203.33190.34184.47

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 96555001000150020002500SE +/- 2.50, N = 4SE +/- 2.78, N = 4SE +/- 19.23, N = 4SE +/- 11.52, N = 4SE +/- 16.25, N = 4SE +/- 9.05, N = 42323.462271.952066.992028.181989.891897.88

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P50100150200250SE +/- 0.33, N = 3SE +/- 0.52, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.50, N = 3SE +/- 2.10, N = 3246.59246.24246.03240.07238.82238.49

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9655 2PEPYC 9655 - PowerEPYC 96556001200180024003000SE +/- 15.82, N = 3SE +/- 37.18, N = 3SE +/- 2.64, N = 3SE +/- 28.42, N = 4SE +/- 4.41, N = 3SE +/- 1.95, N = 32780.142690.502665.922616.592221.852083.42

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P150300450600750SE +/- 1.63, N = 3SE +/- 2.91, N = 3SE +/- 8.09, N = 3SE +/- 7.40, N = 3SE +/- 5.52, N = 3SE +/- 0.83, N = 3693.23671.97662.67659.11514.70511.28

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P1122334455SE +/- 0.07, N = 3SE +/- 0.60, N = 3SE +/- 0.48, N = 15SE +/- 0.41, N = 15SE +/- 0.11, N = 3SE +/- 0.49, N = 1549.8948.8144.2043.9828.6125.691. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965510002000300040005000SE +/- 4.36, N = 3SE +/- 0.58, N = 3SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3484746343741365429762814MIN: 445 / MAX: 53647MIN: 417 / MAX: 52082MIN: 305 / MAX: 43215MIN: 293 / MAX: 42376MIN: 233 / MAX: 37345MIN: 215 / MAX: 36394

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific 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.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 381.5577.5356.5255.1843.9441.25

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 377.3274.2055.2854.3944.4642.13

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 377.4774.5055.4854.4043.8542.20

GraphicsMagick

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.4390.8781.3171.7562.1951.9511.9091.5641.5321.5051.482

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power0.48740.97481.46221.94962.4372.1662.0271.4211.4051.3371.334

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570140210280350SE +/- 2.19, N = 3SE +/- 3.56, N = 5SE +/- 1.00, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 2.08, N = 33433343133133032841. (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 Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power0.41380.82761.24141.65522.0691.8391.7601.1881.1701.1401.124

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655120240360480600SE +/- 1.33, N = 3SE +/- 2.08, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35635204964554083641. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655110220330440550SE +/- 1.76, N = 3SE +/- 1.53, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34994754324033543201. (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

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power6K12K18K24K30K27913.2125953.1114585.7414350.0914303.0313758.81

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552M4M6M8M10MSE +/- 40995.91, N = 3SE +/- 47498.43, N = 3SE +/- 17530.74, N = 3SE +/- 10789.95, N = 3SE +/- 24173.23, N = 3SE +/- 8964.82, N = 38763837.028395282.216122915.496042366.344746235.884550652.101. (CC) gcc options: -O2 -lrt" -lrt

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.7EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power120240360480600561.77502.34407.19404.60

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7EPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power30K60K90K120K150KSE +/- 226.78, N = 3SE +/- 1144.52, N = 3SE +/- 329.61, N = 3SE +/- 322.46, N = 3153599.31141244.58133016.39132331.061. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

EPYC 9655 2P: The test run did not produce a result.

EPYC 9655 2P - Power: The test run did not produce a result.

LuxCoreRender

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01760.03520.05280.07040.0880.0780.0710.0540.0510.0480.045

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655918273645SE +/- 0.90, N = 15SE +/- 0.53, N = 14SE +/- 0.52, N = 15SE +/- 0.35, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 338.5335.3632.0230.8425.7024.19MIN: 30.95 / MAX: 59.82MIN: 29.34 / MAX: 57.89MIN: 26.48 / MAX: 43.04MIN: 26.95 / MAX: 43.78MIN: 22.87 / MAX: 34.83MIN: 21.58 / MAX: 32.81

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01010.02020.03030.04040.05050.0450.0440.0410.0390.0380.035

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655612182430SE +/- 0.05, N = 3SE +/- 0.51, N = 12SE +/- 0.21, N = 3SE +/- 0.33, N = 15SE +/- 0.23, N = 15SE +/- 0.17, N = 1525.8524.3421.1620.9418.2916.80MIN: 24.44 / MAX: 38.15MIN: 21.68 / MAX: 36.31MIN: 20.29 / MAX: 27.72MIN: 19.5 / MAX: 27MIN: 16.97 / MAX: 21.39MIN: 15.67 / MAX: 20.23

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P48121620SE +/- 0.19, N = 3SE +/- 0.14, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 15SE +/- 0.21, N = 1514.4613.9613.2412.7412.4312.39MIN: 7.35 / MAX: 16.92MIN: 6.55 / MAX: 16.95MIN: 6.48 / MAX: 15.17MIN: 6.13 / MAX: 14.49MIN: 5.65 / MAX: 16.74MIN: 5.44 / MAX: 16.29

SecureMark

OpenBenchmarking.orgmarks Per Watt, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P110022003300440055005124.054993.064437.204428.714042.454042.38

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9755 - PowerEPYC 9755100K200K300K400K500KSE +/- 206.31, N = 3SE +/- 4246.49, N = 3SE +/- 3644.76, N = 3SE +/- 5047.30, N = 3SE +/- 1638.17, N = 3SE +/- 809.78, N = 34459084421064401264397154060364054541. (CC) gcc options: -pedantic -O3

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P6K12K18K24K30KSE +/- 106.26, N = 3SE +/- 146.49, N = 3SE +/- 134.59, N = 3SE +/- 214.06, N = 3SE +/- 204.92, N = 15SE +/- 199.26, N = 1225992.523913.020634.219454.117008.115913.21. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput ThreadEPYC 9655EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 97552004006008001000SE +/- 2.24, N = 10SE +/- 1.75, N = 10SE +/- 2.83, N = 10SE +/- 7.37, N = 10SE +/- 1.37, N = 9SE +/- 2.19, N = 91076.51071.41066.81056.91002.6994.01. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655150K300K450K600K750KSE +/- 723.87, N = 3SE +/- 310.97, N = 3SE +/- 401.79, N = 3SE +/- 359.42, N = 3SE +/- 316.52, N = 3SE +/- 414.37, N = 3710294.6690813.6465436.8463866.6353852.5341991.71. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2PEPYC 9655 2P - Power4K8K12K16K20KSE +/- 2.31, N = 3SE +/- 0.00, N = 3SE +/- 22.76, N = 3SE +/- 10.86, N = 3SE +/- 18.59, N = 3SE +/- 81.25, N = 316512.016464.116337.916317.013058.413000.71. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

7-Zip Compression

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power80016002400320040003560.253362.102269.162232.642211.882145.99

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655200K400K600K800K1000KSE +/- 14562.31, N = 3SE +/- 6132.86, N = 3SE +/- 3611.53, N = 3SE +/- 3530.77, N = 3SE +/- 1100.58, N = 3SE +/- 660.09, N = 3109546610785069202729081597821967628911. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655200K400K600K800K1000KSE +/- 16773.88, N = 3SE +/- 17629.29, N = 3SE +/- 188.95, N = 3SE +/- 276.36, N = 3SE +/- 692.69, N = 3SE +/- 257.58, N = 3107093510160408822748467366787956266001. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

WebP Image Encode

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P0.01370.02740.04110.05480.06850.0610.0610.0520.0520.0510.051

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.9631.9262.8893.8524.815SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 74.284.274.274.263.903.891. (CC) gcc options: -fvisibility=hidden -O2 -lm

ASKAP

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power90180270360450402.74357.39209.31207.54205.38178.18

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520K40K60K80K100KSE +/- 1248.33, N = 3SE +/- 1206.67, N = 3SE +/- 519.97, N = 15SE +/- 395.30, N = 3SE +/- 601.20, N = 3SE +/- 328.80, N = 3109234.0106165.070893.570762.857262.655898.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965530K60K90K120K150KSE +/- 733.67, N = 3SE +/- 1202.40, N = 3SE +/- 308.95, N = 15SE +/- 438.43, N = 3SE +/- 380.83, N = 3SE +/- 380.83, N = 3118087.0114525.074456.574093.359791.159791.11. (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 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 9655150300450600750SE +/- 6.53, N = 15SE +/- 3.94, N = 8SE +/- 6.94, N = 15SE +/- 1.60, N = 8SE +/- 7.51, N = 15SE +/- 1.30, N = 8709.99701.73607.90605.28598.51566.061. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655306090120150SE +/- 1.29, N = 15SE +/- 0.97, N = 15SE +/- 0.02, N = 6SE +/- 0.02, N = 6SE +/- 0.07, N = 5SE +/- 0.01, N = 5141.00130.02113.23110.0488.0481.681. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655510152025SE +/- 0.25, N = 4SE +/- 0.08, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 322.5821.4016.1615.7212.4311.581. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965548121620SE +/- 0.1552, N = 4SE +/- 0.0874, N = 15SE +/- 0.0052, N = 3SE +/- 0.0004, N = 3SE +/- 0.0030, N = 3SE +/- 0.0012, N = 314.016913.03229.91639.65767.63167.10531. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965590M180M270M360M450MSE +/- 4378797.88, N = 3SE +/- 4310907.78, N = 3SE +/- 4084095.42, N = 15SE +/- 4338134.07, N = 15SE +/- 4142878.23, N = 12SE +/- 3587851.54, N = 154412177674268398813154303163073439232352408592191895431. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655714212835SE +/- 0.12, N = 3SE +/- 0.30, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 331.0729.4722.7322.2218.4017.631. (CXX) g++ options: -O3 -lm

LAMMPS Molecular Dynamics Simulator

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9655 - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 96550.10710.21420.32130.42840.53550.4760.4590.4560.4520.4460.444

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551530456075SE +/- 0.65, N = 7SE +/- 0.29, N = 7SE +/- 0.45, N = 10SE +/- 0.31, N = 10SE +/- 0.32, N = 11SE +/- 0.32, N = 1569.4866.5457.0955.7948.1045.221. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.52, N = 378.4575.7969.3667.7859.2356.101. (CXX) g++ options: -O3 -lm -ldl

NAMD

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04590.09180.13770.18360.22950.2040.1940.0700.0690.0660.065

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 97550.01170.02340.03510.04680.05850.0520.0510.0180.0170.0160.016

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655714212835SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.02, N = 7SE +/- 0.02, N = 728.7627.1814.5314.2413.1312.49

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655246810SE +/- 0.08274, N = 3SE +/- 0.01771, N = 3SE +/- 0.00697, N = 3SE +/- 0.01359, N = 3SE +/- 0.00449, N = 3SE +/- 0.00164, N = 38.150727.936614.622774.577344.357384.18891

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655300M600M900M1200M1500MSE +/- 3806633.26, N = 3SE +/- 3941921.08, N = 3SE +/- 646946.28, N = 3SE +/- 5260460.78, N = 3SE +/- 463544.96, N = 3SE +/- 4322874.61, N = 3120142052111550589797944000757868965806073502955772153741. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655300M600M900M1200M1500MSE +/- 1881332.70, N = 3SE +/- 1997067.74, N = 3SE +/- 707549.54, N = 3SE +/- 300359.50, N = 3SE +/- 707531.18, N = 3SE +/- 696066.18, N = 3124135395611998719188221028288219259996276331216077696501. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96553M6M9M12M15MSE +/- 58584.80, N = 3SE +/- 32915.29, N = 3SE +/- 107977.86, N = 3SE +/- 127571.69, N = 3SE +/- 136953.60, N = 3SE +/- 51257.47, N = 314267081.6913798695.2513608100.1213567376.3013316660.1012513777.691. (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 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - Power160320480640800SE +/- 1.82, N = 3SE +/- 1.08, N = 3SE +/- 6.47, N = 3SE +/- 2.73, N = 3SE +/- 6.12, N = 3SE +/- 5.79, N = 3750.83740.48728.91721.43698.12697.07MIN: 73.53 / MAX: 7500MIN: 68.57 / MAX: 8571.43MIN: 105.45 / MAX: 6666.67MIN: 107.91 / MAX: 7500MIN: 80.86 / MAX: 6666.67MIN: 82.42 / MAX: 5454.55

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunEPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 4.08, N = 3SE +/- 5.05, N = 3SE +/- 8.92, N = 3SE +/- 5.84, N = 3SE +/- 5.27, N = 3SE +/- 5.61, N = 3774.74755.69736.37735.48729.56729.06MIN: 73.71 / MAX: 8571.43MIN: 69.93 / MAX: 7500MIN: 113.42 / MAX: 6666.67MIN: 110.29 / MAX: 7500MIN: 81.63 / MAX: 7500MIN: 84.27 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9655EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - Power1.03842.07683.11524.15365.1924.6154.5614.5524.5324.4314.420

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - Power170340510680850SE +/- 2.15, N = 3SE +/- 0.75, N = 3SE +/- 3.66, N = 3SE +/- 2.38, N = 3SE +/- 4.70, N = 3SE +/- 0.97, N = 3771.87763.39747.95741.43724.64724.35MIN: 73.53 / MAX: 8571.43MIN: 69.36 / MAX: 8571.43MIN: 110.5 / MAX: 7500MIN: 105.26 / MAX: 7500MIN: 85.11 / MAX: 6666.67MIN: 81.52 / MAX: 6000

John The Ripper

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power300600900120015001478.571400.61792.83778.22774.58764.24

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power300600900120015001463.851398.98789.71782.32772.62761.35

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power130026003900520065006164.886123.953396.833375.513348.483341.69

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655100K200K300K400K500KSE +/- 2042.80, N = 3SE +/- 1429.13, N = 3SE +/- 32.03, N = 3SE +/- 53.35, N = 3SE +/- 83.70, N = 3SE +/- 7.33, N = 34742654604163256473230102499452378231. (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: bcryptEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655100K200K300K400K500KSE +/- 4308.74, N = 3SE +/- 4890.26, N = 4SE +/- 191.99, N = 3SE +/- 45.32, N = 3SE +/- 424.21, N = 3SE +/- 23.62, N = 34724984555973252783230002497452377391. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655400K800K1200K1600K2000KSE +/- 20771.62, N = 5SE +/- 18489.19, N = 6SE +/- 1201.85, N = 3SE +/- 1527.53, N = 3SE +/- 1000.00, N = 3SE +/- 1855.92, N = 32005400200150013613331355000104200010393331. (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: 64 - Buffer Length: 256 - Filter Length: 32EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9755EPYC 9755 - Power600M1200M1800M2400M3000MSE +/- 825294.56, N = 3SE +/- 1858613.58, N = 3SE +/- 1211518.79, N = 3SE +/- 1927289.40, N = 3SE +/- 233333.33, N = 3SE +/- 568624.07, N = 33022533333302143333329567333332937233333278456666727833000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552000M4000M6000M8000M10000MSE +/- 30930100.41, N = 3SE +/- 49681015.82, N = 3SE +/- 7442296.54, N = 3SE +/- 14339494.80, N = 3SE +/- 2315407.33, N = 3SE +/- 6065476.07, N = 39450433333909310000085272333338494733333664003333363276000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552000M4000M6000M8000M10000MSE +/- 10083374.66, N = 3SE +/- 38320157.16, N = 3SE +/- 1068228.02, N = 3SE +/- 6331139.97, N = 3SE +/- 2850341.11, N = 3SE +/- 7992983.03, N = 39213033333892663333382613666678151900000651483333362046333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655800M1600M2400M3200M4000MSE +/- 19402777.58, N = 3SE +/- 26473907.49, N = 3SE +/- 1980179.57, N = 3SE +/- 3925274.23, N = 3SE +/- 2781686.14, N = 3SE +/- 1659651.90, N = 33598133333356136666728572333332855466667218836666721527666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2PEPYC 9655 2P - Power36912159.8029.7398.6438.6037.9827.917

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 1.07, N = 3SE +/- 2.66, N = 3SE +/- 0.88, N = 3SE +/- 0.97, N = 3SE +/- 1.03, N = 3SE +/- 0.85, N = 3872.29871.91870.03863.99795.83795.77

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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520K40K60K80K100KSE +/- 311.78, N = 3SE +/- 85.49, N = 3SE +/- 126.11, N = 3SE +/- 15.58, N = 3SE +/- 138.06, N = 3SE +/- 21.59, N = 3108838.9100988.871625.569037.754719.250488.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655130K260K390K520K650KSE +/- 6165.72, N = 6SE +/- 3426.11, N = 6SE +/- 5529.34, N = 15SE +/- 4917.65, N = 15SE +/- 1953.53, N = 6SE +/- 1611.44, N = 6610380.70589945.23385558.53383678.73323478.52315803.131. (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: SP.CEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power70K140K210K280K350KSE +/- 1406.41, N = 6SE +/- 2950.53, N = 5SE +/- 629.86, N = 5SE +/- 878.07, N = 5SE +/- 367.39, N = 5SE +/- 412.37, N = 5334250.97329784.54197015.00194853.91154462.83153956.621. (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: IS.DEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 116.48, N = 15SE +/- 91.78, N = 15SE +/- 55.66, N = 6SE +/- 80.37, N = 15SE +/- 64.97, N = 6SE +/- 41.67, N = 613249.5513161.528647.628449.117285.367042.531. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power4008001200160020001822.651806.341272.731197.561175.301148.15

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power50K100K150K200K250KSE +/- 4683.24, N = 15SE +/- 3226.17, N = 15SE +/- 1302.88, N = 15SE +/- 1273.22, N = 15SE +/- 1820.15, N = 15SE +/- 1911.09, N = 15245220.03237346.22167026.93165446.88144599.38144307.521. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520K40K60K80K100KSE +/- 946.98, N = 15SE +/- 1014.34, N = 15SE +/- 716.44, N = 10SE +/- 618.06, N = 15SE +/- 526.39, N = 15SE +/- 750.66, N = 15110940.14109363.4591585.7288208.3666383.2964867.571. (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

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power3K6K9K12K15K12199.1611251.396366.616287.446052.605988.27

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655900K1800K2700K3600K4500KSE +/- 3942.78, N = 3SE +/- 1533.00, N = 3SE +/- 1824.02, N = 3SE +/- 331.00, N = 3SE +/- 1158.12, N = 3SE +/- 365.28, N = 34229820.44049226.32788354.72755042.32136538.12029271.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70140210280350306.25283.75166.40154.61129.24126.88

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965515K30K45K60K75KSE +/- 1071.97, N = 15SE +/- 1045.33, N = 15SE +/- 426.75, N = 15SE +/- 450.61, N = 15SE +/- 570.38, N = 15SE +/- 535.60, N = 1569836.3569266.9337688.0737645.9735779.6535503.691. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.70571.41142.11712.82283.5285SE +/- 0.022392, N = 15SE +/- 0.032998, N = 15SE +/- 0.059060, N = 15SE +/- 0.045208, N = 15SE +/- 0.064100, N = 15SE +/- 0.087065, N = 151.8002691.8693502.7064622.7612602.7677683.1365171. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551.23272.46543.69814.93086.1635SE +/- 0.036612, N = 15SE +/- 0.042880, N = 15SE +/- 0.054249, N = 15SE +/- 0.073388, N = 15SE +/- 0.045321, N = 15SE +/- 0.054129, N = 152.8572913.0217634.1082034.3936065.2107195.4787081. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552004006008001000SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3426451621639809869

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 8.19, N = 3SE +/- 10.60, N = 3SE +/- 5.49, N = 3SE +/- 3.71, N = 3SE +/- 20.87, N = 3SE +/- 19.97, N = 3673171499878101541287513834

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96557K14K21K28K35KSE +/- 23.46, N = 3SE +/- 16.68, N = 3SE +/- 10.68, N = 3SE +/- 39.68, N = 3SE +/- 33.02, N = 3SE +/- 52.17, N = 3134591429019757203792580930966

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552004006008001000SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 35065327327539551025

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 6.66, N = 3SE +/- 11.68, N = 3SE +/- 3.61, N = 3SE +/- 14.19, N = 3SE +/- 15.94, N = 3SE +/- 14.29, N = 38021844811666119821518816295

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96558K16K24K32K40KSE +/- 37.47, N = 3SE +/- 31.56, N = 3SE +/- 33.06, N = 3SE +/- 32.92, N = 3SE +/- 49.64, N = 3SE +/- 11.68, N = 3159811698723412239813365235888

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 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965570140210280350SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.67, N = 3SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 0.26, N = 3150.68163.97288.00292.74329.53331.17MIN: 135.35 / MAX: 177.18MIN: 149.81 / MAX: 234.24MIN: 260.94 / MAX: 324.73MIN: 133.4 / MAX: 322.99MIN: 165.13 / MAX: 354.63MIN: 259.06 / MAX: 360.411. (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 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97550.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.180.200.310.320.460.48MIN: 0.16 / MAX: 27.22MIN: 0.16 / MAX: 31.17MIN: 0.12 / MAX: 21.96MIN: 0.13 / MAX: 22.72MIN: 0.13 / MAX: 25.58MIN: 0.13 / MAX: 26.241. (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 Detection FP16 - Device: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power20406080100SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.54, N = 15SE +/- 0.78, N = 1531.0432.6367.3469.7287.1489.40MIN: 26.15 / MAX: 65.39MIN: 27.36 / MAX: 67.99MIN: 32.37 / MAX: 130.06MIN: 33.74 / MAX: 128.03MIN: 35.35 / MAX: 200.15MIN: 30.69 / MAX: 206.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 96551.3142.6283.9425.2566.57SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.742.925.305.445.625.84MIN: 1.88 / MAX: 18.32MIN: 2.03 / MAX: 17.91MIN: 2.08 / MAX: 28.98MIN: 1.9 / MAX: 24.72MIN: 2.01 / MAX: 29.21MIN: 2.3 / MAX: 25.041. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 9655246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.934.196.867.047.227.68MIN: 3.02 / MAX: 20.64MIN: 3.32 / MAX: 17.36MIN: 3.75 / MAX: 24.2MIN: 4.45 / MAX: 21.05MIN: 4.48 / MAX: 26.34MIN: 4.09 / MAX: 22.611. (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 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9655EPYC 97551326395265SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 330.9532.1354.3756.5856.9857.57MIN: 24.71 / MAX: 244.03MIN: 23.03 / MAX: 169.79MIN: 27.11 / MAX: 90.92MIN: 26.76 / MAX: 102.79MIN: 27.41 / MAX: 98.07MIN: 34.99 / MAX: 106.021. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 9655510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.129.7518.6818.6919.3619.95MIN: 6.93 / MAX: 31.05MIN: 7.8 / MAX: 32.13MIN: 9.73 / MAX: 45.34MIN: 9.95 / MAX: 40.46MIN: 9.99 / MAX: 44.41MIN: 10.11 / MAX: 40.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96551.05082.10163.15244.20325.254SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.372.534.374.454.484.67MIN: 1.7 / MAX: 15.93MIN: 1.73 / MAX: 16.68MIN: 2.16 / MAX: 18.61MIN: 1.92 / MAX: 23.23MIN: 1.99 / MAX: 22.31MIN: 2.58 / MAX: 20.151. (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 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 96550.16380.32760.49140.65520.819SE +/- 0.000376, N = 9SE +/- 0.004859, N = 15SE +/- 0.000577, N = 9SE +/- 0.001018, N = 9SE +/- 0.000929, N = 9SE +/- 0.000691, N = 90.4865090.5134170.5615430.6109390.6726700.727928MIN: 0.46MIN: 0.48MIN: 0.52MIN: 0.56MIN: 0.58MIN: 0.631. (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: defconfigEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755612182430SE +/- 0.11, N = 14SE +/- 0.12, N = 13SE +/- 0.28, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 317.8418.0122.2922.7123.3423.34

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97554080120160200SE +/- 0.83, N = 3SE +/- 0.66, N = 3SE +/- 0.42, N = 3SE +/- 0.40, N = 3SE +/- 1.23, N = 3SE +/- 0.88, N = 3115.27117.47187.32194.47199.61201.76

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 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965548121620SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 412.1312.1413.7813.9113.9814.09

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 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965520406080100SE +/- 0.82, N = 3SE +/- 0.74, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 376.1176.4382.5482.9383.2984.13

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 9655 2PEPYC 9655 2P - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655306090120150SE +/- 0.33, N = 3SE +/- 1.18, N = 3SE +/- 0.66, N = 3SE +/- 0.21, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 384.4986.97108.75109.56114.80118.70

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 9655 2PEPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power306090120150SE +/- 0.25, N = 3SE +/- 0.58, N = 3SE +/- 1.57, N = 3SE +/- 1.17, N = 3SE +/- 1.52, N = 3SE +/- 0.32, N = 3112.43112.96125.35126.33128.13129.01

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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 366.4667.2087.6688.8994.8197.58

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 9655 2PEPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 975548121620SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.07, N = 412.2912.3512.7012.7913.6413.67

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 9655 2PEPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power3691215SE +/- 0.018, N = 5SE +/- 0.051, N = 5SE +/- 0.036, N = 5SE +/- 0.030, N = 5SE +/- 0.013, N = 5SE +/- 0.035, N = 59.0459.0779.4339.5279.8689.868

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 9655 2PEPYC 9655 2P - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655130026003900520065003241.003244.375545.685574.366043.216147.331. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655246810SE +/- 0.073, N = 15SE +/- 0.077, N = 15SE +/- 0.018, N = 7SE +/- 0.025, N = 7SE +/- 0.031, N = 6SE +/- 0.013, N = 64.4294.6075.2555.4926.6907.3291. (CXX) g++ options: -fopenmp -O2 -march=native

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755510152025SE +/- 0.16, N = 15SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 320.3920.6721.4921.5622.0122.091. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2PEPYC 9655 2P - Power50100150200250SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 1.12, N = 3SE +/- 0.80, N = 3175.97175.97178.93179.39230.37231.771. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655612182430SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 323.1423.7723.8224.1326.4927.191. (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 9655 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655300600900120015001254.01292.51299.41301.91326.21334.11. (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 -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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power246810SE +/- 0.01525858, N = 6SE +/- 0.00772957, N = 6SE +/- 0.01593429, N = 6SE +/- 0.01274608, N = 6SE +/- 0.03188987, N = 5SE +/- 0.07400503, N = 53.445721193.488674846.457183446.478045387.095553407.174051761. (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 9755EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 - PowerEPYC 965561218243021.4421.5922.8022.8622.9424.701. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965561218243016.1616.8220.2820.6022.2624.071. (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 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655 2P306090120150113.82114.28114.99120.26120.35133.901. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655408012016020086.2188.29160.37160.70192.79195.151. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 363.0965.6172.3273.6775.3879.20

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 348.4349.7376.5877.2690.0791.03

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 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96553691215SE +/- 0.02, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 4SE +/- 0.05, N = 46.406.669.469.5012.2112.97

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655816243240SE +/- 0.03, N = 4SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 316.0316.6124.0024.2331.4732.67

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965548121620SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.06, N = 3SE +/- 0.11, N = 38.569.0112.4112.5016.1816.80

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655918273645SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 319.8420.6429.4529.7538.3340.68

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655306090120150SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 359.2361.5086.6286.87111.32116.47

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965548121620SE +/- 0.05, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 39.369.6112.7112.7415.9416.55

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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.25450.5090.76351.0181.2725SE +/- 0.010304, N = 15SE +/- 0.011000, N = 15SE +/- 0.010896, N = 15SE +/- 0.010948, N = 15SE +/- 0.010945, N = 15SE +/- 0.014837, N = 150.8827920.8920090.9126770.9348961.0708831.1313251. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 327.6729.9941.8643.0654.4759.291. (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 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.45950.9191.37851.8382.2975SE +/- 0.002, N = 13SE +/- 0.004, N = 12SE +/- 0.003, N = 12SE +/- 0.004, N = 12SE +/- 0.003, N = 11SE +/- 0.004, N = 111.1091.1961.4591.5531.8342.0421. (CXX) g++ options: -O3

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655612182430SE +/- 0.01, N = 5SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 311.2512.4816.7517.9721.8124.221. (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 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.011, N = 6SE +/- 0.010, N = 5SE +/- 0.020, N = 5SE +/- 0.015, N = 5SE +/- 0.043, N = 5SE +/- 0.019, N = 56.4306.5898.0688.1738.3298.395

193 Results Shown

CPU Power Consumption Monitor
PyTorch
PyTorch
PyTorch:
  CPU - 256 - ResNet-50
  CPU - 512 - ResNet-50
miniBUDE:
  OpenMP - BM1
  OpenMP - BM2
miniBUDE:
  OpenMP - BM1
  OpenMP - BM2
OpenSSL:
  SHA256
  SHA512
  AES-128-GCM
OpenSSL
OpenSSL:
  AES-256-GCM
  ChaCha20
  ChaCha20-Poly1305
Algebraic Multi-Grid Benchmark
OpenVINO:
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - 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
SVT-AV1:
  Preset 13 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
SVT-AV1:
  Preset 13 - Bosphorus 4K
  Preset 4 - Bosphorus 4K
  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:
  CPU - 256 - ResNet-50
  CPU - 256 - AlexNet
  CPU - 256 - GoogLeNet
  CPU - 512 - ResNet-50
TensorFlow:
  CPU - 256 - ResNet-50
  CPU - 256 - AlexNet
  CPU - 512 - ResNet-50
  CPU - 512 - AlexNet
  CPU - 256 - GoogLeNet
ONNX Runtime
OpenVKL
OSPRay:
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
GraphicsMagick:
  Noise-Gaussian
  Enhanced
GraphicsMagick
GraphicsMagick
GraphicsMagick:
  Enhanced
  Sharpen
Coremark
Coremark
Aircrack-ng
Aircrack-ng
LuxCoreRender
LuxCoreRender
LuxCoreRender
LuxCoreRender:
  DLSC - CPU
  LuxCore Benchmark - CPU
SecureMark
SecureMark
srsRAN Project:
  PDSCH Processor Benchmark, Throughput Total
  PDSCH Processor Benchmark, Throughput Thread
QuantLib
ASKAP
7-Zip Compression
7-Zip Compression:
  Compression Rating
  Decompression Rating
WebP Image Encode
WebP Image Encode
ASKAP
ASKAP:
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
ASTC Encoder:
  Medium
  Thorough
  Very Thorough
  Exhaustive
Stockfish
GROMACS
LAMMPS Molecular Dynamics Simulator
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
NAMD:
  ATPase with 327,506 Atoms
  STMV with 1,066,628 Atoms
NAMD:
  ATPase with 327,506 Atoms
  STMV with 1,066,628 Atoms
RocksDB
Speedb
Memcached
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
ClickHouse
ClickHouse
John The Ripper:
  Blowfish
  bcrypt
  WPA PSK
John The Ripper:
  Blowfish
  bcrypt
  WPA PSK
Liquid-DSP:
  64 - 256 - 32
  256 - 256 - 32
  256 - 256 - 57
  256 - 256 - 512
Numpy Benchmark
Numpy Benchmark
OpenSSL
NAS Parallel Benchmarks:
  LU.C
  SP.C
  IS.D
NAS Parallel Benchmarks
NAS Parallel Benchmarks:
  MG.C
  CG.C
OpenSSL
OpenSSL
LULESH
LULESH
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
  Person Detection FP16 - 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:
  defconfig
  allmodconfig
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
CloverLeaf:
  clover_bm64_short
  clover_bm16
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