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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  Test
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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
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  11 Hours, 21 Minutes

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AMD EPYC 5th Gen Benchmarks - Performance vs. Power DeterminismProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2 x AMD EPYC 9655 96-Core @ 2.60GHz (192 Cores / 384 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a1520GB2 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)12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKCAMD EPYC 9755 128-Core @ 2.70GHz (128 Cores / 256 Threads)OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - 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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - 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 Determinismwrf: conus 2.5kmopenvkl: vklBenchmarkCPU ISPCnwchem: C240 Buckyballpytorch: CPU - 256 - ResNet-152openssl: RSA4096openssl: RSA4096securemark: SecureMark-TLSstockfish: Chess Benchmarktensorflow: CPU - 512 - ResNet-50luxcorerender: Orange Juice - CPUaskap: tConvolve MT - Griddingluxcorerender: DLSC - CPUcloverleaf: clover_bm16onnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardopenssl: AES-128-GCMopenssl: ChaCha20-Poly1305openssl: ChaCha20openssl: AES-256-GCMopenssl: SHA512openssl: SHA256luxcorerender: LuxCore Benchmark - CPUbuild-linux-kernel: allmodconfigospray: particle_volume/scivis/real_timepytorch: CPU - 512 - ResNet-50tensorflow: CPU - 256 - ResNet-50openvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachelammps: 20k Atomsbuild-gem5: Time To Compileospray: particle_volume/ao/real_timenumpy: build-nodejs: Time To Compilesrsran: PDSCH Processor Benchmark, Throughput Totalopenradioss: Chrysler Neon 1Mlulesh: blender: Barbershop - CPU-Onlybuild-llvm: Ninjaopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timebuild-godot: Time To Compileopenradioss: INIVOL and Fluid Structure Interaction Drop Containerospray-studio: 1 - 4K - 16 - Path Tracer - CPUpytorch: CPU - 256 - ResNet-50ospray-studio: 1 - 4K - 32 - Path Tracer - CPUgraphics-magick: Noise-Gaussianospray: gravity_spheres_volume/dim_512/pathtracer/real_timememcached: 1:100openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUspeedb: Rand Readgraphics-magick: Enhancedgraphics-magick: Sharpenrocksdb: Rand Readospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingquantlib: Multi-Threadedcoremark: CoreMark Size 666 - Iterations Per Secondtensorflow: CPU - 256 - GoogLeNethelsing: 14 digitbuild-linux-kernel: defconfigvvenc: Bosphorus 4K - Fastnamd: STMV with 1,066,628 Atomsjohn-the-ripper: WPA PSKcloverleaf: clover_bm64_shortcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingpennant: sedovbigminibude: OpenMP - BM2minibude: OpenMP - BM2oidn: RTLightmap.hdr.4096x4096 - CPU-Onlyjohn-the-ripper: bcryptliquid-dsp: 256 - 256 - 512blender: Pabellon Barcelona - CPU-Onlyjohn-the-ripper: Blowfishliquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 32liquid-dsp: 64 - 256 - 32astcenc: Exhaustiveembree: Pathtracer ISPC - Asian Dragon Objgpaw: Carbon Nanotubenamd: ATPase with 327,506 Atomsvvenc: Bosphorus 4K - Fastertensorflow: CPU - 512 - AlexNetblender: Classroom - CPU-Onlypennant: leblancbigamg: npb: IS.Dastcenc: Thoroughkvazaar: Bosphorus 4K - Slownpb: LU.Csvt-av1: Preset 4 - Bosphorus 4Kastcenc: Very Thoroughoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyaircrack-ng: oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlytensorflow: CPU - 256 - AlexNetprimesieve: 1e13gromacs: MPI CPU - water_GMX50_baresvt-av1: Preset 8 - Bosphorus 4Kuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumblender: Junkshop - CPU-Onlynpb: CG.Cbuild-ffmpeg: Time To Compileastcenc: Mediumx265: Bosphorus 4Kbuild-mesa: Time To Compilesvt-av1: Preset 13 - Bosphorus 4Ky-cruncher: 1Bkvazaar: Bosphorus 4K - Mediumblender: Fishy Cat - CPU-Onlym-queens: Time To Solvenpb: SP.Copenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeblender: BMW27 - CPU-Onlybuild-imagemagick: Time To Compileincompact3d: input.i3d 193 Cells Per Directionnpb: MG.Ckvazaar: Bosphorus 4K - Very Fastwebp: Quality 100, Highest Compressionembree: Pathtracer ISPC - Asian Dragonsvt-av1: Preset 12 - Bosphorus 4Kembree: Pathtracer ISPC - Crownmt-dgemm: Sustained Floating-Point Rateminibude: OpenMP - BM1minibude: OpenMP - BM1onednn: Deconvolution Batch shapes_3d - CPUlammps: Rhodopsin Proteinsrsran: PDSCH Processor Benchmark, Throughput Threadprimesieve: 1e12compress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img CompressionEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3241.00446341299.411.574049226.3100988.8440126426839881238.4935.3613058.424.34230.3739.137525.6860294955469337012213867056731796116544717268296868668310720475905027497263760012.39117.46674.496626.98184.4732.631470.13741.43735.48721.4375.788112.43474.1995871.9184.49215913.249.7369266.93061.5067.19888.289093133.9042876.43365.61714926.321429033477.534413798695.250.2210660.4611384.88163.97292.344.1911417.0232.131491.952.5318938.6549343.569.754918.44169876976.192.9216407.9529775.21532119987191852047511550589794518448114525106165690813.68395282.209354511.2829.98718.0127.93661200150020.67101604010785063.021763430.12210753.0512.22455597356136666720.6446041689266333339093100000295673333313.0322220.174123.77027.179602616.5916.611.869350596123033313161.52130.017570.65589945.2311.18621.39614.404.541989.8912.47729.473109.18451.6854.249.61109363.4512.144598.511635.4512.285250.3948.39572.389.014.607329784.5416.81696522.7975726.669.0453.48867484237346.2286.174.28262.0596253.989229.690679.597263301.1247528.0930.61093966.5351056.91.1960.8920093244.3734847125411.624229820.4108838.9442106441217767238.8238.5313000.725.85231.7734.955228.6068303814285157312225333203371798254631593279609616529711222093631328335531852312.43115.27177.472127.38190.3431.041545.66747.95736.37728.9178.451112.96377.3194872.2986.97417008.148.4369836.35059.2366.46286.213364114.9892676.11063.09673126.541345934381.550514267081.690.18212321.9911848.72150.68318.193.9312204.1130.951548.702.3720214.9755029.539.125259.25159817387.042.7417500.3833372.06506124135395656349912014205214268021118087109234710294.68763837.022327514.7027.67417.8358.15072200540020.39107093510954662.857291448.00511200.1332.32472498359813333319.8447426592130333339450433333302143333314.0169223.995923.14128.762532690.5016.031.800269597435833313249.55140.996974.88610380.7011.40922.57874.784.682066.9911.24731.070113.91853.8156.259.36110940.1412.127607.898935.6412.349266.9638.32976.318.564.429334250.9716.15703221.5926356.409.0773.44572119245220.0390.674.27264.4782274.240242.284286.218057309.7207742.9910.56154369.4841066.81.1090.8827926147.33428141334.119.222029271.750488.7439715219189543240.0724.1916317.016.80175.9720.044349.8851147283515182761562736285090540963421313445994030875390101449013762559190712.74194.47442.203046.52210.1469.72686.91763.39755.69740.4856.103126.33342.1266870.03118.69823913.091.0335503.685116.4797.578195.14756114.2807584.13479.201383446.713096628441.246012513777.690.32173358.478266.34331.17144.657.686173.6156.98840.054.6710064.7523288.2619.952393.86358883506.595.848123.1213972.5710256077696503643205772153748691629559791.155898.8341991.74550652.098964671.9759.28622.7139.6234.18891103933321.496266007628915.478708268.2066705.1472.47237739215276666740.682378236204633333632760000029372333337.1053148.789627.18812.4914722.6682083.4232.673.13651730767396677042.5381.684444.40315803.1311.28511.57575.19141244.5785.171897.8824.21517.632107.42231.9035.9516.5564867.5714.093566.056635.7012.793249.2916.58944.9316.807.329154462.8324.07175224.69787412.979.5277.09555340144599.3890.084.27172.9986258.613136.803543.193765205.6435141.0820.72792845.2221076.52.0421.1313256043.20629761292.519.742136538.154719.2445908235240859246.0325.7016337.918.29175.9720.490248.8145153038042717361820826601390817266628714043980971105667035817314289037133013.24187.32143.846148.52215.3267.34711.26771.87774.74750.8359.226125.34744.4631863.99114.80125992.590.0735779.649111.3294.811192.78649113.823382.53575.381287548.842580930343.936613608100.120.31185028.408640.54288.00166.347.046722.7054.37881.124.3710744.4825130.8518.692550.68336523680.245.448699.1715518.659556276331214083546073502958091518859791.157262.6353852.54746235.879094693.2354.46622.28610.0914.35738104200021.566787957821965.210719275.4026885.0492.66249745218836666738.332499456514833333664003333330225333337.6316155.226726.48913.1332024.0692221.8531.472.76776830859770007285.3688.035747.70323478.5211.68112.43445.49153599.3075.492028.1821.80618.397112.51734.1338.4015.9466383.2913.781605.277136.0112.701265.7696.43048.1916.186.690153956.6222.255822.94106212.219.4337.17405176144307.5296.044.26180.8031273.179144.657146.119303220.3975509.9270.67267048.0981071.41.8341.0708835574.36336541326.217.422755042.369037.7405454307343923246.2432.0216464.120.94178.9322.658644.19992007365351470807009841427118635929445018377658507477235976724018666039331313.96201.75554.395843.83203.3387.14733.80724.64729.56698.1267.776128.13254.3927795.83109.56119454.177.2637645.97386.6288.893160.37378120.345783.29373.671015443.612037931355.176213316660.100.48190777.8310557.16329.53193.807.228730.8857.571109.754.4813949.8931655.5719.363287.43239814774.335.6211232.2618679.367538221028284554037868965806391198274093.370762.8465436.86042366.343047659.1143.05723.3449.8104.62277136133322.098467369081594.393606386.1839654.5762.85323000285546666729.753230108151900000849473333327845666679.6576191.783923.82214.2449323.7432665.9224.002.76126031770820008647.62110.038353.42385558.5311.27515.71955.85133016.3915.842271.9517.96822.729118.16339.1443.8512.7188208.3613.978701.731534.2113.669271.9248.17353.9512.505.492194853.9120.59708921.441469.469.8686.47804538167026.9396.813.90223.2053281.589179.449456.408890385.9009647.4960.51341755.791994.01.5530.9348965545.67637411301.917.452788354.771625.5406036315430316246.5930.841651221.16179.3922.765343.97551999939029673806355069187118515536827718386985505207407733062718622496622314.46199.60855.475843.77203.7289.40715.72724.35729.06697.0769.362129.00755.2761795.77108.74720634.276.5837688.07286.8787.663160.70038120.2555682.93372.32987843.251975731356.524813567376.300.46199930.1810716.32292.74218.206.869199.7556.581129.234.4514033.9534304.0918.683403.96234124802.285.311890.8920954.347328219259994964327944000756211166674456.570893.5463866.66122915.494912662.6741.85723.3399.9484.57734135500022.018822749202724.108203386.3859659.6152.96325278285723333329.453256478261366667852723333327833000009.9163196.926224.12814.5314424.1512780.1424.232.70646231844133338449.11113.225255.53383678.7311.27116.15996.06132331.0636.062323.4616.74622.223121.92740.9045.8512.7491585.7213.907709.989634.3613.638275.5408.06856.2212.415.255197015.0020.27989922.8590079.509.8686.45718344165446.8897.883.89229.2964279.701184.613659.205514384.0699601.7320.48650957.0861002.61.4590.912677OpenBenchmarking.org

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P130026003900520065005545.685574.366043.216147.333244.373241.001. (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

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P10002000300040005000SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 4.36, N = 3SE +/- 0.58, N = 3374136542976281448474634MIN: 305 / MAX: 43215MIN: 293 / MAX: 42376MIN: 233 / MAX: 37345MIN: 215 / MAX: 36394MIN: 445 / MAX: 53647MIN: 417 / MAX: 52082

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P300600900120015001301.91326.21292.51334.11254.01299.41. (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

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P510152025SE +/- 0.18, N = 3SE +/- 0.19, N = 4SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 12SE +/- 0.16, N = 1217.4517.4219.7419.2211.6211.57MIN: 16.79 / MAX: 18.16MIN: 16.53 / MAX: 18.16MIN: 18.97 / MAX: 20.57MIN: 18.55 / MAX: 19.77MIN: 4.7 / MAX: 13.82MIN: 5.56 / MAX: 12.98

OpenSSL

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

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P900K1800K2700K3600K4500KSE +/- 1824.02, N = 3SE +/- 331.00, N = 3SE +/- 1158.12, N = 3SE +/- 365.28, N = 3SE +/- 3942.78, N = 3SE +/- 1533.00, N = 32788354.72755042.32136538.12029271.74229820.44049226.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20K40K60K80K100KSE +/- 126.11, N = 3SE +/- 15.58, N = 3SE +/- 138.06, N = 3SE +/- 21.59, N = 3SE +/- 311.78, N = 3SE +/- 85.49, N = 371625.569037.754719.250488.7108838.9100988.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

SecureMark

SecureMark is an objective, standardized benchmarking framework for measuring the efficiency of cryptographic processing solutions developed by EEMBC. SecureMark-TLS is benchmarking Transport Layer Security performance with a focus on IoT/edge computing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P100K200K300K400K500KSE +/- 1638.17, N = 3SE +/- 809.78, N = 3SE +/- 206.31, N = 3SE +/- 5047.30, N = 3SE +/- 4246.49, N = 3SE +/- 3644.76, N = 34060364054544459084397154421064401261. (CC) gcc options: -pedantic -O3

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P90M180M270M360M450MSE +/- 4084095.42, N = 15SE +/- 4338134.07, N = 15SE +/- 4142878.23, N = 12SE +/- 3587851.54, N = 15SE +/- 4378797.88, N = 3SE +/- 4310907.78, N = 33154303163073439232352408592191895434412177674268398811. (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

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

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

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P918273645SE +/- 0.35, N = 15SE +/- 0.52, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.90, N = 15SE +/- 0.53, N = 1430.8432.0225.7024.1938.5335.36MIN: 26.95 / MAX: 43.78MIN: 26.48 / MAX: 43.04MIN: 22.87 / MAX: 34.83MIN: 21.58 / MAX: 32.81MIN: 30.95 / MAX: 59.82MIN: 29.34 / MAX: 57.89

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 2P - PowerEPYC 9655 2P4K8K12K16K20KSE +/- 2.31, N = 3SE +/- 0.00, N = 3SE +/- 22.76, N = 3SE +/- 10.86, N = 3SE +/- 81.25, N = 3SE +/- 18.59, N = 316512.016464.116337.916317.013000.713058.41. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P612182430SE +/- 0.21, N = 3SE +/- 0.33, N = 15SE +/- 0.23, N = 15SE +/- 0.17, N = 15SE +/- 0.05, N = 3SE +/- 0.51, N = 1221.1620.9418.2916.8025.8524.34MIN: 20.29 / MAX: 27.72MIN: 19.5 / MAX: 27MIN: 16.97 / MAX: 21.39MIN: 15.67 / MAX: 20.23MIN: 24.44 / MAX: 38.15MIN: 21.68 / MAX: 36.31

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_bm16EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P50100150200250SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.80, N = 3SE +/- 1.12, N = 3179.39178.93175.97175.97231.77230.371. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P918273645SE +/- 0.21, N = 15SE +/- 0.24, N = 15SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.78, N = 1522.7722.6620.4920.0434.9639.141. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1122334455SE +/- 0.41, N = 15SE +/- 0.48, N = 15SE +/- 0.60, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.49, N = 1543.9844.2048.8149.8928.6125.691. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

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: AES-128-GCMEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P700000M1400000M2100000M2800000M3500000MSE +/- 2715663243.10, N = 3SE +/- 679943093.73, N = 3SE +/- 1180292536.08, N = 3SE +/- 1295376232.10, N = 3SE +/- 1171219798.83, N = 3SE +/- 325870485.63, N = 31999939029673200736535147015303804271731472835151827303814285157329495546933701. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P300000M600000M900000M1200000M1500000MSE +/- 403700022.50, N = 3SE +/- 89801965.81, N = 3SE +/- 245600409.78, N = 3SE +/- 139220101.42, N = 3SE +/- 840797691.41, N = 3SE +/- 567847363.95, N = 3806355069187807009841427618208266013615627362850122253332033712213867056731. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P400000M800000M1200000M1600000M2000000MSE +/- 339596989.72, N = 3SE +/- 507390352.95, N = 3SE +/- 218675473.81, N = 3SE +/- 211781187.22, N = 3SE +/- 610791897.39, N = 3SE +/- 200687972.98, N = 311851553682771186359294450908172666287905409634213179825463159317961165447171. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P600000M1200000M1800000M2400000M3000000MSE +/- 836488131.91, N = 3SE +/- 2482404044.78, N = 3SE +/- 1492761099.56, N = 3SE +/- 243566219.34, N = 3SE +/- 1439419832.95, N = 3SE +/- 3021247793.93, N = 31838698550520183776585074714043980971101344599403087279609616529726829686866831. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20000M40000M60000M80000M100000MSE +/- 46660762.78, N = 3SE +/- 163780192.60, N = 3SE +/- 84288798.91, N = 3SE +/- 85304308.49, N = 3SE +/- 41276678.86, N = 3SE +/- 334242164.38, N = 3740773306277235976724056670358173539010144901122209363131072047590501. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P60000M120000M180000M240000M300000MSE +/- 109659436.53, N = 3SE +/- 76407988.26, N = 3SE +/- 143659903.05, N = 3SE +/- 343661637.22, N = 3SE +/- 384856106.88, N = 3SE +/- 182816536.21, N = 31862249662231866603933131428903713301376255919072833553185232749726376001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: 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

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P4080120160200SE +/- 1.23, N = 3SE +/- 0.88, N = 3SE +/- 0.42, N = 3SE +/- 0.40, N = 3SE +/- 0.83, N = 3SE +/- 0.66, N = 3199.61201.76187.32194.47115.27117.47

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: particle_volume/scivis/real_timeEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 355.4854.4043.8542.2077.4774.50

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: 512 - Model: ResNet-50EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1122334455SE +/- 0.47, N = 4SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 15SE +/- 0.40, N = 1543.7743.8348.5246.5227.3826.98MIN: 41.1 / MAX: 45.21MIN: 41.6 / MAX: 45.11MIN: 46.49 / MAX: 49.53MIN: 44.09 / MAX: 47.73MIN: 17.08 / MAX: 31.28MIN: 18.25 / MAX: 31.34

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P50100150200250SE +/- 0.87, N = 3SE +/- 0.65, N = 3SE +/- 0.42, N = 3SE +/- 1.14, N = 3SE +/- 0.71, N = 3SE +/- 1.84, N = 3203.72203.33215.32210.14190.34184.47

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: Person Detection FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.78, N = 15SE +/- 0.54, N = 15SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 389.4087.1467.3469.7231.0432.63MIN: 30.69 / MAX: 206.98MIN: 35.35 / MAX: 200.15MIN: 32.37 / MAX: 130.06MIN: 33.74 / MAX: 128.03MIN: 26.15 / MAX: 65.39MIN: 27.36 / MAX: 67.991. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P30060090012001500SE +/- 6.66, N = 15SE +/- 4.77, N = 15SE +/- 2.13, N = 3SE +/- 0.53, N = 3SE +/- 9.29, N = 3SE +/- 3.94, N = 3715.72733.80711.26686.911545.661470.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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, Third RunEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P170340510680850SE +/- 0.97, N = 3SE +/- 4.70, N = 3SE +/- 2.15, N = 3SE +/- 0.75, N = 3SE +/- 3.66, N = 3SE +/- 2.38, N = 3724.35724.64771.87763.39747.95741.43MIN: 81.52 / MAX: 6000MIN: 85.11 / MAX: 6666.67MIN: 73.53 / MAX: 8571.43MIN: 69.36 / MAX: 8571.43MIN: 110.5 / MAX: 7500MIN: 105.26 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2004006008001000SE +/- 5.61, N = 3SE +/- 5.27, N = 3SE +/- 4.08, N = 3SE +/- 5.05, N = 3SE +/- 8.92, N = 3SE +/- 5.84, N = 3729.06729.56774.74755.69736.37735.48MIN: 84.27 / MAX: 7500MIN: 81.63 / MAX: 7500MIN: 73.71 / MAX: 8571.43MIN: 69.93 / MAX: 7500MIN: 113.42 / MAX: 6666.67MIN: 110.29 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P160320480640800SE +/- 5.79, N = 3SE +/- 6.12, N = 3SE +/- 1.82, N = 3SE +/- 1.08, N = 3SE +/- 6.47, N = 3SE +/- 2.73, N = 3697.07698.12750.83740.48728.91721.43MIN: 82.42 / MAX: 5454.55MIN: 80.86 / MAX: 6666.67MIN: 73.53 / MAX: 7500MIN: 68.57 / MAX: 8571.43MIN: 105.45 / MAX: 6666.67MIN: 107.91 / MAX: 7500

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.52, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 369.3667.7859.2356.1078.4575.791. (CXX) g++ options: -O3 -lm -ldl

Timed Gem5 Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P306090120150SE +/- 0.32, N = 3SE +/- 1.52, N = 3SE +/- 1.57, N = 3SE +/- 1.17, N = 3SE +/- 0.58, N = 3SE +/- 0.25, N = 3129.01128.13125.35126.33112.96112.43

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: particle_volume/ao/real_timeEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 355.2854.3944.4642.1377.3274.20

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2004006008001000SE +/- 0.85, N = 3SE +/- 1.03, N = 3SE +/- 0.97, N = 3SE +/- 0.88, N = 3SE +/- 1.07, N = 3SE +/- 2.66, N = 3795.77795.83863.99870.03872.29871.91

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P306090120150SE +/- 0.66, N = 3SE +/- 0.21, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 1.18, N = 3SE +/- 0.33, N = 3108.75109.56114.80118.7086.9784.49

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P6K12K18K24K30KSE +/- 134.59, N = 3SE +/- 214.06, N = 3SE +/- 106.26, N = 3SE +/- 146.49, N = 3SE +/- 204.92, N = 15SE +/- 199.26, N = 1220634.219454.125992.523913.017008.115913.21. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

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: Chrysler Neon 1MEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 3SE +/- 0.24, N = 3SE +/- 0.16, N = 376.5877.2690.0791.0348.4349.73

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P15K30K45K60K75KSE +/- 426.75, N = 15SE +/- 450.61, N = 15SE +/- 570.38, N = 15SE +/- 535.60, N = 15SE +/- 1071.97, N = 15SE +/- 1045.33, N = 1537688.0737645.9735779.6535503.6969836.3569266.931. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

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: Barbershop - Compute: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P306090120150SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 386.8786.62111.32116.4759.2361.50

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 387.6688.8994.8197.5866.4667.20

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, Medium Mesh Size - Execution TimeEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P4080120160200160.70160.37192.79195.1586.2188.291. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P306090120150120.26120.35113.82114.28114.99133.901. (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

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.82, N = 3SE +/- 0.74, N = 382.9383.2982.5484.1376.1176.43

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.13, N = 372.3273.6775.3879.2063.0965.61

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: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P3K6K9K12K15KSE +/- 5.49, N = 3SE +/- 3.71, N = 3SE +/- 20.87, N = 3SE +/- 19.97, N = 3SE +/- 8.19, N = 3SE +/- 10.60, N = 3987810154128751383467317149

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1122334455SE +/- 0.49, N = 3SE +/- 0.29, N = 3SE +/- 0.38, N = 3SE +/- 0.28, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 743.2543.6148.8446.7126.5426.32MIN: 40.26 / MAX: 45.01MIN: 41.9 / MAX: 45.08MIN: 46.8 / MAX: 50.35MIN: 44.4 / MAX: 48.11MIN: 24.56 / MAX: 27.7MIN: 17.67 / MAX: 29.73

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: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P7K14K21K28K35KSE +/- 10.68, N = 3SE +/- 39.68, N = 3SE +/- 33.02, N = 3SE +/- 52.17, N = 3SE +/- 23.46, N = 3SE +/- 16.68, N = 3197572037925809309661345914290

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P70140210280350SE +/- 1.00, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 2.08, N = 3SE +/- 2.19, N = 3SE +/- 3.56, N = 53133133032843433341. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 356.5255.1843.9441.2581.5577.53

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P3M6M9M12M15MSE +/- 127571.69, N = 3SE +/- 136953.60, N = 3SE +/- 107977.86, N = 3SE +/- 51257.47, N = 3SE +/- 58584.80, N = 3SE +/- 32915.29, N = 313567376.3013316660.1013608100.1212513777.6914267081.6913798695.251. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P0.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 40.460.480.310.320.180.20MIN: 0.13 / MAX: 25.58MIN: 0.13 / MAX: 26.24MIN: 0.12 / MAX: 21.96MIN: 0.13 / MAX: 22.72MIN: 0.16 / MAX: 27.22MIN: 0.16 / MAX: 31.171. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P50K100K150K200K250KSE +/- 729.29, N = 3SE +/- 1255.01, N = 3SE +/- 370.35, N = 3SE +/- 658.72, N = 3SE +/- 477.06, N = 3SE +/- 2494.88, N = 4199930.18190777.83185028.40173358.47212321.99210660.461. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P3K6K9K12K15KSE +/- 10.73, N = 3SE +/- 33.49, N = 3SE +/- 5.58, N = 3SE +/- 10.75, N = 3SE +/- 101.98, N = 3SE +/- 91.27, N = 310716.3210557.168640.548266.3411848.7211384.881. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P70140210280350SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 0.67, N = 3SE +/- 0.26, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3292.74329.53288.00331.17150.68163.97MIN: 133.4 / MAX: 322.99MIN: 165.13 / MAX: 354.63MIN: 260.94 / MAX: 324.73MIN: 259.06 / MAX: 360.41MIN: 135.35 / MAX: 177.18MIN: 149.81 / MAX: 234.241. (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 FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P70140210280350SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 0.41, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3218.20193.80166.34144.65318.19292.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.867.227.047.683.934.19MIN: 3.75 / MAX: 24.2MIN: 4.48 / MAX: 26.34MIN: 4.45 / MAX: 21.05MIN: 4.09 / MAX: 22.61MIN: 3.02 / MAX: 20.64MIN: 3.32 / MAX: 17.361. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P3K6K9K12K15KSE +/- 19.66, N = 3SE +/- 8.58, N = 3SE +/- 11.21, N = 3SE +/- 18.33, N = 3SE +/- 5.69, N = 3SE +/- 31.28, N = 39199.758730.886722.706173.6112204.1111417.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1326395265SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 356.5857.5754.3756.9830.9532.13MIN: 26.76 / MAX: 102.79MIN: 34.99 / MAX: 106.02MIN: 27.11 / MAX: 90.92MIN: 27.41 / MAX: 98.07MIN: 24.71 / MAX: 244.03MIN: 23.03 / MAX: 169.791. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P30060090012001500SE +/- 2.19, N = 3SE +/- 2.99, N = 3SE +/- 1.89, N = 3SE +/- 3.01, N = 3SE +/- 4.43, N = 3SE +/- 1.75, N = 31129.231109.75881.12840.051548.701491.951. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1.05082.10163.15244.20325.254SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.454.484.374.672.372.53MIN: 1.92 / MAX: 23.23MIN: 1.99 / MAX: 22.31MIN: 2.16 / MAX: 18.61MIN: 2.58 / MAX: 20.15MIN: 1.7 / MAX: 15.93MIN: 1.73 / MAX: 16.681. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P4K8K12K16K20KSE +/- 12.50, N = 3SE +/- 14.83, N = 3SE +/- 8.52, N = 3SE +/- 1.05, N = 3SE +/- 7.55, N = 3SE +/- 14.09, N = 314033.9513949.8910744.4810064.7520214.9718938.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P12K24K36K48K60KSE +/- 19.02, N = 3SE +/- 0.83, N = 3SE +/- 33.00, N = 3SE +/- 6.01, N = 3SE +/- 227.08, N = 3SE +/- 128.37, N = 334304.0931655.5725130.8523288.2655029.5349343.561. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 318.6819.3618.6919.959.129.75MIN: 9.73 / MAX: 45.34MIN: 9.99 / MAX: 44.41MIN: 9.95 / MAX: 40.46MIN: 10.11 / MAX: 40.96MIN: 6.93 / MAX: 31.05MIN: 7.8 / MAX: 32.131. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P11002200330044005500SE +/- 3.67, N = 3SE +/- 2.87, N = 3SE +/- 4.89, N = 3SE +/- 0.98, N = 3SE +/- 12.07, N = 3SE +/- 3.52, N = 33403.963287.432550.682393.865259.254918.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P8K16K24K32K40KSE +/- 33.06, N = 3SE +/- 32.92, N = 3SE +/- 49.64, N = 3SE +/- 11.68, N = 3SE +/- 37.47, N = 3SE +/- 31.56, N = 3234122398133652358881598116987

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: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P16003200480064008000SE +/- 3.19, N = 3SE +/- 5.09, N = 3SE +/- 4.08, N = 3SE +/- 4.42, N = 3SE +/- 3.46, N = 3SE +/- 12.20, N = 34802.284774.333680.243506.597387.046976.191. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1.3142.6283.9425.2566.57SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.305.625.445.842.742.92MIN: 2.08 / MAX: 28.98MIN: 2.01 / MAX: 29.21MIN: 1.9 / MAX: 24.72MIN: 2.3 / MAX: 25.04MIN: 1.88 / MAX: 18.32MIN: 2.03 / MAX: 17.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P4K8K12K16K20KSE +/- 6.51, N = 3SE +/- 2.97, N = 3SE +/- 11.71, N = 3SE +/- 13.26, N = 3SE +/- 17.68, N = 3SE +/- 8.73, N = 311890.8911232.268699.178123.1217500.3816407.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P7K14K21K28K35KSE +/- 8.27, N = 3SE +/- 13.14, N = 3SE +/- 3.28, N = 3SE +/- 5.45, N = 3SE +/- 67.46, N = 3SE +/- 18.16, N = 320954.3418679.3615518.6513972.5733372.0629775.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2004006008001000SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 37327539551025506532

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P300M600M900M1200M1500MSE +/- 300359.50, N = 3SE +/- 707549.54, N = 3SE +/- 707531.18, N = 3SE +/- 696066.18, N = 3SE +/- 1881332.70, N = 3SE +/- 1997067.74, N = 3821925999822102828627633121607769650124135395611998719181. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P120240360480600SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 1.33, N = 3SE +/- 2.08, N = 34964554083645635201. (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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P110220330440550SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.76, N = 3SE +/- 1.53, N = 34324033543204994751. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P300M600M900M1200M1500MSE +/- 646946.28, N = 3SE +/- 5260460.78, N = 3SE +/- 463544.96, N = 3SE +/- 4322874.61, N = 3SE +/- 3806633.26, N = 3SE +/- 3941921.08, N = 3794400075786896580607350295577215374120142052111550589791. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2004006008001000SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3621639809869426451

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P3K6K9K12K15KSE +/- 3.61, N = 3SE +/- 14.19, N = 3SE +/- 15.94, N = 3SE +/- 14.29, N = 3SE +/- 6.66, N = 3SE +/- 11.68, N = 31166611982151881629580218448

ASKAP

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

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P30K60K90K120K150KSE +/- 308.95, N = 15SE +/- 438.43, N = 3SE +/- 380.83, N = 3SE +/- 380.83, N = 3SE +/- 733.67, N = 3SE +/- 1202.40, N = 374456.574093.359791.159791.1118087.0114525.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20K40K60K80K100KSE +/- 519.97, N = 15SE +/- 395.30, N = 3SE +/- 601.20, N = 3SE +/- 328.80, N = 3SE +/- 1248.33, N = 3SE +/- 1206.67, N = 370893.570762.857262.655898.8109234.0106165.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P150K300K450K600K750KSE +/- 359.42, N = 3SE +/- 401.79, N = 3SE +/- 316.52, N = 3SE +/- 414.37, N = 3SE +/- 723.87, N = 3SE +/- 310.97, N = 3463866.6465436.8353852.5341991.7710294.6690813.61. (CXX) g++ options: -O3 -march=native -fPIE -pie

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2M4M6M8M10MSE +/- 17530.74, N = 3SE +/- 10789.95, N = 3SE +/- 24173.23, N = 3SE +/- 8964.82, N = 3SE +/- 40995.91, N = 3SE +/- 47498.43, N = 36122915.496042366.344746235.884550652.108763837.028395282.211. (CC) gcc options: -O2 -lrt" -lrt

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P150300450600750SE +/- 8.09, N = 3SE +/- 7.40, N = 3SE +/- 1.63, N = 3SE +/- 2.91, N = 3SE +/- 5.52, N = 3SE +/- 0.83, N = 3662.67659.11693.23671.97514.70511.28

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1326395265SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 341.8643.0654.4759.2927.6729.991. (CC) gcc options: -O2 -pthread

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P612182430SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.28, N = 3SE +/- 0.20, N = 3SE +/- 0.11, N = 14SE +/- 0.12, N = 1323.3423.3422.2922.7117.8418.01

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553691215SE +/- 0.039, N = 3SE +/- 0.028, N = 3SE +/- 0.042, N = 3SE +/- 0.048, N = 39.9489.81010.0919.6231. (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

NAMD

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

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.01359, N = 3SE +/- 0.00697, N = 3SE +/- 0.00449, N = 3SE +/- 0.00164, N = 3SE +/- 0.08274, N = 3SE +/- 0.01771, N = 34.577344.622774.357384.188918.150727.93661

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P400K800K1200K1600K2000KSE +/- 1527.53, N = 3SE +/- 1201.85, N = 3SE +/- 1000.00, N = 3SE +/- 1855.92, N = 3SE +/- 20771.62, N = 5SE +/- 18489.19, N = 61355000136133310420001039333200540020015001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P510152025SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.16, N = 15SE +/- 0.23, N = 322.0122.0921.5621.4920.3920.671. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P200K400K600K800K1000KSE +/- 188.95, N = 3SE +/- 276.36, N = 3SE +/- 692.69, N = 3SE +/- 257.58, N = 3SE +/- 16773.88, N = 3SE +/- 17629.29, N = 3882274846736678795626600107093510160401. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P200K400K600K800K1000KSE +/- 3611.53, N = 3SE +/- 3530.77, N = 3SE +/- 1100.58, N = 3SE +/- 660.09, N = 3SE +/- 14562.31, N = 3SE +/- 6132.86, N = 3920272908159782196762891109546610785061. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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: sedovbigEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1.23272.46543.69814.93086.1635SE +/- 0.054249, N = 15SE +/- 0.073388, N = 15SE +/- 0.045321, N = 15SE +/- 0.054129, N = 15SE +/- 0.036612, N = 15SE +/- 0.042880, N = 154.1082034.3936065.2107195.4787082.8572913.0217631. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

miniBUDE

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

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P100200300400500SE +/- 3.93, N = 4SE +/- 3.07, N = 4SE +/- 2.16, N = 3SE +/- 1.70, N = 3SE +/- 4.30, N = 15SE +/- 5.30, N = 15386.39386.18275.40268.21448.01430.121. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2K4K6K8K10KSE +/- 98.24, N = 4SE +/- 76.86, N = 4SE +/- 53.97, N = 3SE +/- 42.42, N = 3SE +/- 107.41, N = 15SE +/- 132.52, N = 159659.629654.586885.056705.1511200.1310753.051. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

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

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P100K200K300K400K500KSE +/- 191.99, N = 3SE +/- 45.32, N = 3SE +/- 424.21, N = 3SE +/- 23.62, N = 3SE +/- 4308.74, N = 3SE +/- 4890.26, N = 43252783230002497452377394724984555971. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P800M1600M2400M3200M4000MSE +/- 1980179.57, N = 3SE +/- 3925274.23, N = 3SE +/- 2781686.14, N = 3SE +/- 1659651.90, N = 3SE +/- 19402777.58, N = 3SE +/- 26473907.49, N = 32857233333285546666721883666672152766667359813333335613666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P918273645SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 329.4529.7538.3340.6819.8420.64

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P100K200K300K400K500KSE +/- 32.03, N = 3SE +/- 53.35, N = 3SE +/- 83.70, N = 3SE +/- 7.33, N = 3SE +/- 2042.80, N = 3SE +/- 1429.13, N = 33256473230102499452378234742654604161. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2000M4000M6000M8000M10000MSE +/- 1068228.02, N = 3SE +/- 6331139.97, N = 3SE +/- 2850341.11, N = 3SE +/- 7992983.03, N = 3SE +/- 10083374.66, N = 3SE +/- 38320157.16, N = 38261366667815190000065148333336204633333921303333389266333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2000M4000M6000M8000M10000MSE +/- 7442296.54, N = 3SE +/- 14339494.80, N = 3SE +/- 2315407.33, N = 3SE +/- 6065476.07, N = 3SE +/- 30930100.41, N = 3SE +/- 49681015.82, N = 38527233333849473333366400333336327600000945043333390931000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P600M1200M1800M2400M3000MSE +/- 568624.07, N = 3SE +/- 233333.33, N = 3SE +/- 825294.56, N = 3SE +/- 1927289.40, N = 3SE +/- 1858613.58, N = 3SE +/- 1211518.79, N = 32783300000278456666730225333332937233333302143333329567333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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: ExhaustiveEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P48121620SE +/- 0.0052, N = 3SE +/- 0.0004, N = 3SE +/- 0.0030, N = 3SE +/- 0.0012, N = 3SE +/- 0.1552, N = 4SE +/- 0.0874, N = 159.91639.65767.63167.105314.016913.03221. (CXX) g++ options: -O3 -flto -pthread

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 Dragon ObjEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P50100150200250SE +/- 0.07, N = 5SE +/- 0.14, N = 5SE +/- 0.06, N = 5SE +/- 0.07, N = 5SE +/- 1.49, N = 15SE +/- 1.69, N = 15196.93191.78155.23148.79224.00220.17MIN: 193.84 / MAX: 201.41MIN: 188.36 / MAX: 196.2MIN: 152.81 / MAX: 158.1MIN: 146.45 / MAX: 152.13MIN: 198.29 / MAX: 258.4MIN: 192.38 / MAX: 242.25

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P612182430SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 324.1323.8226.4927.1923.1423.771. (CC) gcc options: -shared -lxc -lblas -lmpi

NAMD

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

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P714212835SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.02, N = 7SE +/- 0.02, N = 7SE +/- 0.04, N = 3SE +/- 0.05, N = 314.5314.2413.1312.4928.7627.18

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: FasterEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 324.1523.7424.0722.671. (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

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P6001200180024003000SE +/- 15.82, N = 3SE +/- 2.64, N = 3SE +/- 4.41, N = 3SE +/- 1.95, N = 3SE +/- 37.18, N = 3SE +/- 28.42, N = 42780.142665.922221.852083.422690.502616.59

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: Classroom - Compute: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P816243240SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 4SE +/- 0.06, N = 324.2324.0031.4732.6716.0316.61

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P0.70571.41142.11712.82283.5285SE +/- 0.059060, N = 15SE +/- 0.045208, N = 15SE +/- 0.064100, N = 15SE +/- 0.087065, N = 15SE +/- 0.022392, N = 15SE +/- 0.032998, N = 152.7064622.7612602.7677683.1365171.8002691.8693501. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1300M2600M3900M5200M6500MSE +/- 2174206.39, N = 3SE +/- 6342005.91, N = 3SE +/- 3204898.91, N = 3SE +/- 4068843.09, N = 3SE +/- 16519338.83, N = 3SE +/- 18981834.93, N = 33184413333317708200030859770003076739667597435833359612303331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

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: IS.DEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P3K6K9K12K15KSE +/- 80.37, N = 15SE +/- 55.66, N = 6SE +/- 64.97, N = 6SE +/- 41.67, N = 6SE +/- 116.48, N = 15SE +/- 91.78, N = 158449.118647.627285.367042.5313249.5513161.521. (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

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: ThoroughEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P306090120150SE +/- 0.02, N = 6SE +/- 0.02, N = 6SE +/- 0.07, N = 5SE +/- 0.01, N = 5SE +/- 1.29, N = 15SE +/- 0.97, N = 15113.23110.0488.0481.68141.00130.021. (CXX) g++ options: -O3 -flto -pthread

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.08, N = 5SE +/- 0.06, N = 5SE +/- 0.08, N = 4SE +/- 0.03, N = 4SE +/- 0.69, N = 6SE +/- 0.47, N = 1455.5353.4247.7044.4074.8870.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P130K260K390K520K650KSE +/- 4917.65, N = 15SE +/- 5529.34, N = 15SE +/- 1953.53, N = 6SE +/- 1611.44, N = 6SE +/- 6165.72, N = 6SE +/- 3426.11, N = 6383678.73385558.53323478.52315803.13610380.70589945.231. (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

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 4 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P3691215SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.10, N = 4SE +/- 0.07, N = 411.2711.2811.6811.2911.4111.191. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: Very ThoroughEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.25, N = 4SE +/- 0.08, N = 416.1615.7212.4311.5822.5821.401. (CXX) g++ options: -O3 -flto -pthread

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

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

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965530K60K90K120K150KSE +/- 322.46, N = 3SE +/- 329.61, N = 3SE +/- 226.78, N = 3SE +/- 1144.52, N = 3132331.06133016.39153599.31141244.581. (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.

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

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

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P5001000150020002500SE +/- 2.50, N = 4SE +/- 2.78, N = 4SE +/- 11.52, N = 4SE +/- 9.05, N = 4SE +/- 19.23, N = 4SE +/- 16.25, N = 42323.462271.952028.181897.882066.991989.89

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: 1e13EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 5SE +/- 0.03, N = 416.7517.9721.8124.2211.2512.481. (CXX) g++ options: -O3

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P714212835SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.30, N = 322.2222.7318.4017.6331.0729.471. (CXX) g++ options: -O3 -lm

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 8 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P306090120150SE +/- 0.88, N = 11SE +/- 1.10, N = 7SE +/- 0.89, N = 6SE +/- 0.62, N = 6SE +/- 0.77, N = 15SE +/- 1.00, N = 6121.93118.16112.52107.42113.92109.181. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1224364860SE +/- 0.03, N = 4SE +/- 0.09, N = 4SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 5SE +/- 0.17, N = 440.9039.1434.1331.9053.8151.68

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1326395265SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 3SE +/- 0.35, N = 5SE +/- 0.26, N = 545.8543.8538.4035.9556.2554.24

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: Junkshop - Compute: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P48121620SE +/- 0.07, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 3SE +/- 0.05, N = 5SE +/- 0.02, N = 512.7412.7115.9416.559.369.61

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: CG.CEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20K40K60K80K100KSE +/- 716.44, N = 10SE +/- 618.06, N = 15SE +/- 526.39, N = 15SE +/- 750.66, N = 15SE +/- 946.98, N = 15SE +/- 1014.34, N = 1591585.7288208.3666383.2964867.57110940.14109363.451. (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

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P48121620SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 413.9113.9813.7814.0912.1312.14

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 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P150300450600750SE +/- 6.53, N = 15SE +/- 3.94, N = 8SE +/- 1.60, N = 8SE +/- 1.30, N = 8SE +/- 6.94, N = 15SE +/- 7.51, N = 15709.99701.73605.28566.06607.90598.511. (CXX) g++ options: -O3 -flto -pthread

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P816243240SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 334.3634.2136.0135.7035.6435.451. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P48121620SE +/- 0.06, N = 4SE +/- 0.07, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 413.6413.6712.7012.7912.3512.29

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 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P60120180240300SE +/- 7.89, N = 15SE +/- 7.58, N = 15SE +/- 7.29, N = 15SE +/- 6.06, N = 15SE +/- 7.49, N = 15SE +/- 6.77, N = 15275.54271.92265.77249.29266.96250.391. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.020, N = 5SE +/- 0.015, N = 5SE +/- 0.011, N = 6SE +/- 0.010, N = 5SE +/- 0.043, N = 5SE +/- 0.019, N = 58.0688.1736.4306.5898.3298.395

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: MediumEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.09, N = 4SE +/- 0.06, N = 4SE +/- 0.50, N = 6SE +/- 0.40, N = 556.2253.9548.1944.9376.3172.381. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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: Fishy Cat - Compute: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P48121620SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 5SE +/- 0.03, N = 512.4112.5016.1816.808.569.01

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.018, N = 7SE +/- 0.025, N = 7SE +/- 0.031, N = 6SE +/- 0.013, N = 6SE +/- 0.073, N = 15SE +/- 0.077, N = 155.2555.4926.6907.3294.4294.6071. (CXX) g++ options: -fopenmp -O2 -march=native

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: SP.CEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P70K140K210K280K350KSE +/- 629.86, N = 5SE +/- 878.07, N = 5SE +/- 412.37, N = 5SE +/- 367.39, N = 5SE +/- 1406.41, N = 6SE +/- 2950.53, N = 5197015.00194853.91153956.62154462.83334250.97329784.541. (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

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 - Execution TimeEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P61218243020.2820.6022.2624.0716.1616.821. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P61218243022.8621.4422.9424.7021.5922.801. (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

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P3691215SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 6SE +/- 0.01, N = 69.509.4612.2112.976.406.66

Timed ImageMagick Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P3691215SE +/- 0.035, N = 5SE +/- 0.013, N = 5SE +/- 0.036, N = 5SE +/- 0.030, N = 5SE +/- 0.051, N = 5SE +/- 0.018, N = 59.8689.8689.4339.5279.0779.045

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.01593429, N = 6SE +/- 0.01274608, N = 6SE +/- 0.07400503, N = 5SE +/- 0.03188987, N = 5SE +/- 0.01525858, N = 6SE +/- 0.00772957, N = 66.457183446.478045387.174051767.095553403.445721193.488674841. (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

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: MG.CEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P50K100K150K200K250KSE +/- 1273.22, N = 15SE +/- 1302.88, N = 15SE +/- 1911.09, N = 15SE +/- 1820.15, N = 15SE +/- 4683.24, N = 15SE +/- 3226.17, N = 15165446.88167026.93144307.52144599.38245220.03237346.221. (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

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: Very FastEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.32, N = 7SE +/- 0.49, N = 7SE +/- 0.62, N = 7SE +/- 0.23, N = 6SE +/- 0.53, N = 6SE +/- 0.29, N = 697.8896.8196.0490.0890.6786.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P0.9631.9262.8893.8524.815SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 73.893.904.264.274.274.281. (CC) gcc options: -fvisibility=hidden -O2 -lm

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P60120180240300SE +/- 0.05, N = 9SE +/- 0.06, N = 8SE +/- 0.07, N = 8SE +/- 0.11, N = 8SE +/- 1.39, N = 8SE +/- 2.22, N = 15229.30223.21180.80173.00264.48262.06MIN: 226.03 / MAX: 234.63MIN: 219.93 / MAX: 227.73MIN: 178.16 / MAX: 184.07MIN: 170.04 / MAX: 176.59MIN: 212.5 / MAX: 306.56MIN: 209.29 / MAX: 297.79

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 12 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P60120180240300SE +/- 2.09, N = 9SE +/- 2.17, N = 9SE +/- 2.25, N = 9SE +/- 1.90, N = 9SE +/- 2.21, N = 15SE +/- 1.78, N = 15279.70281.59273.18258.61274.24253.991. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: CrownEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P50100150200250SE +/- 0.09, N = 8SE +/- 0.11, N = 8SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.54, N = 8SE +/- 1.81, N = 8184.61179.45144.66136.80242.28229.69MIN: 180.02 / MAX: 191.76MIN: 175.01 / MAX: 186.64MIN: 141.2 / MAX: 148.79MIN: 133.41 / MAX: 142.65MIN: 218.62 / MAX: 262.46MIN: 202.63 / MAX: 249.19

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P20406080100SE +/- 0.20, N = 8SE +/- 0.18, N = 8SE +/- 0.15, N = 7SE +/- 0.15, N = 7SE +/- 0.18, N = 10SE +/- 0.17, N = 959.2156.4146.1243.1986.2279.601. (CC) gcc options: -O3 -march=native -fopenmp

miniBUDE

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

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P80160240320400SE +/- 0.76, N = 10SE +/- 2.67, N = 11SE +/- 1.20, N = 8SE +/- 1.46, N = 8SE +/- 9.09, N = 13SE +/- 8.30, N = 15384.07385.90220.40205.64309.72301.121. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2K4K6K8K10KSE +/- 19.04, N = 10SE +/- 66.65, N = 11SE +/- 30.12, N = 8SE +/- 36.48, N = 8SE +/- 227.27, N = 13SE +/- 207.48, N = 159601.739647.505509.935141.087742.997528.091. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P0.16380.32760.49140.65520.819SE +/- 0.000376, N = 9SE +/- 0.004859, N = 15SE +/- 0.000929, N = 9SE +/- 0.000691, N = 9SE +/- 0.000577, N = 9SE +/- 0.001018, N = 90.4865090.5134170.6726700.7279280.5615430.610939MIN: 0.46MIN: 0.48MIN: 0.58MIN: 0.63MIN: 0.52MIN: 0.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P1530456075SE +/- 0.45, N = 10SE +/- 0.31, N = 10SE +/- 0.32, N = 11SE +/- 0.32, N = 15SE +/- 0.65, N = 7SE +/- 0.29, N = 757.0955.7948.1045.2269.4866.541. (CXX) g++ options: -O3 -lm -ldl

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 ThreadEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P2004006008001000SE +/- 1.37, N = 9SE +/- 2.19, N = 9SE +/- 1.75, N = 10SE +/- 2.24, N = 10SE +/- 2.83, N = 10SE +/- 7.37, N = 101002.6994.01071.41076.51066.81056.91. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P0.45950.9191.37851.8382.2975SE +/- 0.003, N = 12SE +/- 0.004, N = 12SE +/- 0.003, N = 11SE +/- 0.004, N = 11SE +/- 0.002, N = 13SE +/- 0.004, N = 121.4591.5531.8342.0421.1091.1961. (CXX) g++ options: -O3

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P0.25450.5090.76351.0181.2725SE +/- 0.010896, N = 15SE +/- 0.010948, N = 15SE +/- 0.010945, N = 15SE +/- 0.014837, N = 15SE +/- 0.010304, N = 15SE +/- 0.011000, N = 150.9126770.9348961.0708831.1313250.8827920.8920091. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P90180270360450Min: 22.8 / Avg: 330.62 / Max: 511.84Min: 44.19 / Avg: 324.1 / Max: 500.98Min: 21.26 / Avg: 281.8 / Max: 401.73Min: 41.04 / Avg: 253.26 / Max: 371.62Min: 22.1 / Avg: 280.39 / Max: 402.02Min: 22.76 / Avg: 253.2 / Max: 382.79

157 Results Shown

WRF
OpenVKL
NWChem
PyTorch
OpenSSL:
  RSA4096:
    verify/s
    sign/s
SecureMark
Stockfish
TensorFlow
LuxCoreRender
ASKAP
LuxCoreRender
CloverLeaf
ONNX Runtime:
  ArcFace ResNet-100 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
OpenSSL:
  AES-128-GCM
  ChaCha20-Poly1305
  ChaCha20
  AES-256-GCM
  SHA512
  SHA256
LuxCoreRender
Timed Linux Kernel Compilation
OSPRay
PyTorch
TensorFlow
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
ClickHouse:
  100M Rows Hits Dataset, Third Run
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, First Run / Cold Cache
LAMMPS Molecular Dynamics Simulator
Timed Gem5 Compilation
OSPRay
Numpy Benchmark
Timed Node.js Compilation
srsRAN Project
OpenRadioss
LULESH
Blender
Timed LLVM Compilation
OpenFOAM:
  drivaerFastback, Medium Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
Timed Godot Game Engine Compilation
OpenRadioss
OSPRay Studio
PyTorch
OSPRay Studio
GraphicsMagick
OSPRay
Memcached
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Noise Suppression Poconet-Like FP16 - CPU:
    FPS
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Re-Identification Retail FP16 - CPU:
    ms
    FPS
  Face Detection Retail FP16-INT8 - CPU:
    FPS
  Road Segmentation ADAS FP16-INT8 - CPU:
    ms
    FPS
OSPRay Studio
OpenVINO:
  Handwritten English Recognition FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
OSPRay Studio
Speedb
GraphicsMagick:
  Enhanced
  Sharpen
RocksDB
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
ASKAP:
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
QuantLib
Coremark
TensorFlow
Helsing
Timed Linux Kernel Compilation
VVenC
NAMD
John The Ripper
CloverLeaf
7-Zip Compression:
  Decompression Rating
  Compression Rating
Pennant
miniBUDE:
  OpenMP - BM2:
    Billion Interactions/s
    GFInst/s
Intel Open Image Denoise
John The Ripper
Liquid-DSP
Blender
John The Ripper
Liquid-DSP:
  256 - 256 - 57
  256 - 256 - 32
  64 - 256 - 32
ASTC Encoder
Embree
GPAW
NAMD
VVenC
TensorFlow
Blender
Pennant
Algebraic Multi-Grid Benchmark
NAS Parallel Benchmarks
ASTC Encoder
Kvazaar
NAS Parallel Benchmarks
SVT-AV1
ASTC Encoder
Intel Open Image Denoise
Aircrack-ng
Intel Open Image Denoise
TensorFlow
Primesieve
GROMACS
SVT-AV1
uvg266:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
Blender
NAS Parallel Benchmarks
Timed FFmpeg Compilation
ASTC Encoder
x265
Timed Mesa Compilation
SVT-AV1
Y-Cruncher
Kvazaar
Blender
m-queens
NAS Parallel Benchmarks
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
Blender
Timed ImageMagick Compilation
Xcompact3d Incompact3d
NAS Parallel Benchmarks
Kvazaar
WebP Image Encode
Embree
SVT-AV1
Embree
ACES DGEMM
miniBUDE:
  OpenMP - BM1:
    Billion Interactions/s
    GFInst/s
oneDNN
LAMMPS Molecular Dynamics Simulator
srsRAN Project
Primesieve
Parallel BZIP2 Compression
CPU Power Consumption Monitor