AMD EPYC 9005 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-TURINPOWE15
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Result
Identifier
Performance Per
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Date
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  Test
  Duration
EPYC 9655
October 14 2024
  9 Hours, 43 Minutes
EPYC 9655 - Power
October 15 2024
  9 Hours, 31 Minutes
EPYC 9755
October 16 2024
  10 Hours, 22 Minutes
EPYC 9755 - Power
October 17 2024
  10 Hours, 12 Minutes
Invert Behavior (Only Show Selected Data)
  9 Hours, 57 Minutes

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

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

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

AMD EPYC 9005 Benchmarks - Performance vs. Power Determinismminibude: OpenMP - BM1minibude: OpenMP - BM1ospray-studio: 1 - 4K - 32 - Path Tracer - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUonednn: Deconvolution Batch shapes_3d - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUprimesieve: 1e13minibude: OpenMP - BM2minibude: OpenMP - BM2openvino: Road Segmentation ADAS FP16-INT8 - CPUopenssl: RSA4096helsing: 14 digitnpb: CG.Ccompress-7zip: Decompression Ratingospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUprimesieve: 1e12ospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUastcenc: Very Thoroughastcenc: Exhaustivem-queens: Time To Solveopenvino: Person Re-Identification Retail FP16 - CPUastcenc: Thoroughblender: Pabellon Barcelona - CPU-Onlyrocksdb: Rand Readopenssl: SHA512openssl: RSA4096blender: BMW27 - CPU-Onlymt-dgemm: Sustained Floating-Point Rateospray: gravity_spheres_volume/dim_512/pathtracer/real_timeopenvino: Handwritten English Recognition FP16-INT8 - CPUjohn-the-ripper: Blowfishjohn-the-ripper: bcryptopenssl: AES-256-GCMopenssl: AES-128-GCMgraphics-magick: Enhancedblender: Classroom - CPU-Onlyquantlib: Multi-Threadedopenssl: SHA256blender: Fishy Cat - CPU-Onlyspeedb: Rand Readgraphics-magick: Sharpenembree: Pathtracer ISPC - Crownliquid-dsp: 256 - 256 - 32coremark: CoreMark Size 666 - Iterations Per Secondblender: Barbershop - CPU-Onlyopenvino: Machine Translation EN To DE FP16 - CPUsrsran: PDSCH Processor Benchmark, Throughput Totaltensorflow: CPU - 512 - AlexNetliquid-dsp: 256 - 256 - 57openvkl: vklBenchmarkCPU ISPCliquid-dsp: 256 - 256 - 512embree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objospray: particle_volume/scivis/real_timeospray: particle_volume/ao/real_timejohn-the-ripper: WPA PSKblender: Junkshop - CPU-Onlyopenvino: Noise Suppression Poconet-Like FP16 - CPUgromacs: MPI CPU - water_GMX50_bareuvg266: Bosphorus 4K - Slownpb: SP.Cuvg266: Bosphorus 4K - Mediumy-cruncher: 1Baskap: tConvolve MPI - Degriddinglammps: Rhodopsin Proteinastcenc: Mediumkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Slowaskap: tConvolve MPI - Griddingcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionlammps: 20k Atomsnpb: IS.Dtensorflow: CPU - 256 - AlexNetnpb: LU.Copenfoam: drivaerFastback, Medium Mesh Size - Execution Timecompress-7zip: Compression Ratingoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyopenradioss: Chrysler Neon 1Mopenfoam: drivaerFastback, Small Mesh Size - Execution Timeoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlynamd: ATPase with 327,506 Atomsnpb: MG.Copenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenvino: Face Detection FP16-INT8 - CPUgpaw: Carbon Nanotubesvt-av1: Preset 8 - Bosphorus 4Kluxcorerender: LuxCore Benchmark - CPUonnx: ArcFace ResNet-100 - CPU - Standardpytorch: CPU - 256 - ResNet-152pytorch: CPU - 256 - ResNet-50openvino: Person Vehicle Bike Detection FP16 - CPUbuild-llvm: Ninjaincompact3d: input.i3d 193 Cells Per Directionpytorch: CPU - 512 - ResNet-50wrf: conus 2.5kmnamd: STMV with 1,066,628 Atomsgraphics-magick: Noise-Gaussianopenvino: Vehicle Detection FP16-INT8 - CPUopenradioss: INIVOL and Fluid Structure Interaction Drop Containerbuild-nodejs: Time To Compilesvt-av1: Preset 12 - Bosphorus 4Kmemcached: 1:100kvazaar: Bosphorus 4K - Very Fastclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachebuild-linux-kernel: allmodconfigbuild-mesa: Time To Compileopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUclickhouse: 100M Rows Hits Dataset, Third Runvvenc: Bosphorus 4K - Fasterclickhouse: 100M Rows Hits Dataset, Second Runtensorflow: CPU - 256 - ResNet-50openvino: Machine Translation EN To DE FP16 - CPUopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timex265: Bosphorus 4Ktensorflow: CPU - 256 - GoogLeNetvvenc: Bosphorus 4K - Fastbuild-imagemagick: Time To Compileamg: nwchem: C240 Buckyballbuild-gem5: Time To Compiletensorflow: CPU - 512 - ResNet-50build-ffmpeg: Time To Compilebuild-godot: Time To Compileaskap: tConvolve MT - Griddingstockfish: Chess Benchmarkonnx: ArcFace ResNet-100 - CPU - Standardsvt-av1: Preset 13 - Bosphorus 4Kluxcorerender: Orange Juice - CPUluxcorerender: DLSC - CPUpennant: sedovbigpennant: leblancbigEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power205.6435141.082309660.3235888144.6513972.570.7279286173.6123288.268123.1224.215268.2066705.1472393.8650488.759.28664867.576266001383410252.0428691629511.57577.10537.32910064.7581.684440.68577215374539010144902029271.712.9743.19376541.24603506.592378232377391344599403087147283515182736432.67341991.713762559190716.80607769650320136.803563276000004550652.098964116.47840.0523913.02083.42620463333328142152766667172.9986148.789642.203042.1266103933316.558266.3417.63231.90154462.8335.956.58955898.845.222566.056644.9344.4059791.11.13132556.1037042.531897.88315803.13195.147567628912.4791.0324.0717525.175.1912.49147144599.38173358.4724.697874331.1727.188107.42212.7449.885119.2246.717.6897.5787.0955534046.526147.3344.188912845.8479.20118.698258.61312513777.6990.08740.48194.47412.7934.6719.95763.3922.668755.69210.1456.98114.2807535.70671.979.6239.52730767396671334.1126.333240.0714.09384.13416317.021918954320.0443249.29124.1916.805.4787083.136517220.3975509.927258090.3133652166.3415518.650.6726706722.7025130.858699.1721.806275.4026885.0492550.6854719.254.46666383.29678795128759551.8348091518812.43447.63166.69010744.4888.035738.33607350295566703581732136538.112.2146.11930343.93663680.242499452497451404398097110153038042717340831.47353852.514289037133016.18627633121354144.657166400333334746235.879094111.32881.1225992.52221.85651483333329762188366667180.8031155.226743.846144.4631104200015.948640.5418.39734.13153956.6238.406.43057262.648.098605.277148.1947.7059791.11.07088359.2267285.362028.18323478.52192.786497821962.6690.0722.25585.495.4913.13320144307.52185028.4022.941062288.0026.489112.51713.2448.814519.7448.847.0494.8117.1740517648.526043.2064.357383035.4475.38114.801273.17913608100.1296.04750.83187.32112.7014.3718.69771.8724.069774.74215.3254.37113.823336.01693.2310.0919.43330859770001292.5125.347246.0313.78182.53516337.923524085920.4902265.76925.7018.295.2107192.767768385.9009647.496203790.4823981193.8018679.360.5134178730.8831655.5711232.2617.968386.1839654.5763287.4369037.743.05788208.36846736101547531.5536391198215.71959.65765.49213949.89110.038329.75786896580723597672402755042.39.4656.40889055.17624774.333230103230001837765850747200736535147045524.00465436.818666039331312.50822102828403179.449484947333336042366.34304786.621109.7519454.12665.92815190000036542855466667223.2053191.783954.395854.3927136133312.7110557.1622.72939.14194853.9143.858.17370762.855.791701.731553.9553.4274093.30.93489667.7768647.622271.95385558.53160.373789081592.8577.2620.5970895.845.8514.24493167026.93190777.8321.44146329.5323.822118.16313.9644.199917.4243.617.2288.8936.4780453843.835574.3634.622773135.6273.67109.561281.58913316660.1096.81698.12201.75513.6694.4819.36724.6423.743729.56203.3357.57120.345734.21659.119.8109.86831770820001326.2128.132246.2413.97883.29316464.130734392322.6586271.92432.0220.944.3936062.761260384.0699601.732197570.4623412218.2020954.340.4865099199.7534304.0911890.8916.746386.3859659.6153403.9671625.541.85791585.7288227498787321.4596211166616.15999.91635.25514033.95113.225229.45794400075740773306272788354.79.5059.20551456.52484802.283256473252781838698550520199993902967349624.23463866.618622496622312.41821925999432184.613685272333336122915.49491286.871129.2320634.22780.14826136666737412857233333229.2964196.926255.475855.2761135500012.7410716.3222.22340.90197015.0045.858.06870893.557.086709.989656.2255.5374456.50.91267769.3628449.112323.46383678.73160.700389202722.9676.5820.2798996.066.0614.53144165446.88199930.1822.859007292.7424.128121.92714.4643.975517.4543.256.8687.6636.4571834443.775545.6764.577343135.372.32108.747279.70113567376.3097.88697.07199.60813.6384.4518.68724.3524.151729.06203.7256.58120.2555634.36662.679.9489.86831844133331301.9129.007246.5913.90782.9331651231543031622.7653275.54030.8421.164.1082032.706462OpenBenchmarking.org

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965580160240320400SE +/- 2.67, N = 11SE +/- 0.76, N = 10SE +/- 1.20, N = 8SE +/- 1.46, N = 8385.90384.07220.40205.641. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 66.65, N = 11SE +/- 19.04, N = 10SE +/- 30.12, N = 8SE +/- 36.48, N = 89647.509601.735509.935141.081. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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 96557K14K21K28K35KSE +/- 10.68, N = 3SE +/- 39.68, N = 3SE +/- 33.02, N = 3SE +/- 52.17, N = 319757203792580930966

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 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97550.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.310.320.460.48MIN: 0.12 / MAX: 21.96MIN: 0.13 / MAX: 22.72MIN: 0.13 / MAX: 25.58MIN: 0.13 / MAX: 26.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 96558K16K24K32K40KSE +/- 33.06, N = 3SE +/- 32.92, N = 3SE +/- 49.64, N = 3SE +/- 11.68, N = 323412239813365235888

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965550100150200250SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 0.41, N = 3SE +/- 0.12, N = 3218.20193.80166.34144.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96554K8K12K16K20KSE +/- 8.27, N = 3SE +/- 13.14, N = 3SE +/- 3.28, N = 3SE +/- 5.45, N = 320954.3418679.3615518.6513972.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.16380.32760.49140.65520.819SE +/- 0.000376, N = 9SE +/- 0.004859, N = 15SE +/- 0.000929, N = 9SE +/- 0.000691, N = 90.4865090.5134170.6726700.727928MIN: 0.46MIN: 0.48MIN: 0.58MIN: 0.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 19.66, N = 3SE +/- 8.58, N = 3SE +/- 11.21, N = 3SE +/- 18.33, N = 39199.758730.886722.706173.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96557K14K21K28K35KSE +/- 19.02, N = 3SE +/- 0.83, N = 3SE +/- 33.00, N = 3SE +/- 6.01, N = 334304.0931655.5725130.8523288.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 6.51, N = 3SE +/- 2.97, N = 3SE +/- 11.71, N = 3SE +/- 13.26, N = 311890.8911232.268699.178123.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -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: 1e13EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 316.7517.9721.8124.221. (CXX) g++ options: -O3

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 965580160240320400SE +/- 3.93, N = 4SE +/- 3.07, N = 4SE +/- 2.16, N = 3SE +/- 1.70, N = 3386.39386.18275.40268.211. (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 96552K4K6K8K10KSE +/- 98.24, N = 4SE +/- 76.86, N = 4SE +/- 53.97, N = 3SE +/- 42.42, N = 39659.629654.586885.056705.151. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96557001400210028003500SE +/- 3.67, N = 3SE +/- 2.87, N = 3SE +/- 4.89, N = 3SE +/- 0.98, N = 33403.963287.432550.682393.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenSSL

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

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965515K30K45K60K75KSE +/- 126.11, N = 3SE +/- 15.58, N = 3SE +/- 138.06, N = 3SE +/- 21.59, N = 371625.569037.754719.250488.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 96551326395265SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 341.8643.0654.4759.291. (CC) gcc options: -O2 -pthread

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 965520K40K60K80K100KSE +/- 716.44, N = 10SE +/- 618.06, N = 15SE +/- 526.39, N = 15SE +/- 750.66, N = 1591585.7288208.3666383.2964867.571. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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 9655200K400K600K800K1000KSE +/- 188.95, N = 3SE +/- 276.36, N = 3SE +/- 692.69, N = 3SE +/- 257.58, N = 38822748467366787956266001. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 96553K6K9K12K15KSE +/- 5.49, N = 3SE +/- 3.71, N = 3SE +/- 20.87, N = 3SE +/- 19.97, N = 39878101541287513834

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 96552004006008001000SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 37327539551025

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 96550.45950.9191.37851.8382.2975SE +/- 0.003, N = 12SE +/- 0.004, N = 12SE +/- 0.003, N = 11SE +/- 0.004, N = 111.4591.5531.8342.0421. (CXX) g++ options: -O3

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 96552004006008001000SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3621639809869

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 96553K6K9K12K15KSE +/- 3.61, N = 3SE +/- 14.19, N = 3SE +/- 15.94, N = 3SE +/- 14.29, N = 311666119821518816295

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 965548121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 316.1615.7212.4311.581. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553691215SE +/- 0.0052, N = 3SE +/- 0.0004, N = 3SE +/- 0.0030, N = 3SE +/- 0.0012, N = 39.91639.65767.63167.10531. (CXX) g++ options: -O3 -flto -pthread

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 9655246810SE +/- 0.018, N = 7SE +/- 0.025, N = 7SE +/- 0.031, N = 6SE +/- 0.013, N = 65.2555.4926.6907.3291. (CXX) g++ options: -fopenmp -O2 -march=native

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: Person Re-Identification Retail FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 12.50, N = 3SE +/- 14.83, N = 3SE +/- 8.52, N = 3SE +/- 1.05, N = 314033.9513949.8910744.4810064.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 9655306090120150SE +/- 0.02, N = 6SE +/- 0.02, N = 6SE +/- 0.07, N = 5SE +/- 0.01, N = 5113.23110.0488.0481.681. (CXX) g++ options: -O3 -flto -pthread

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 9655918273645SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 329.4529.7538.3340.68

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 9655200M400M600M800M1000MSE +/- 646946.28, N = 3SE +/- 5260460.78, N = 3SE +/- 463544.96, N = 3SE +/- 4322874.61, N = 37944000757868965806073502955772153741. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: SHA512EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965516000M32000M48000M64000M80000MSE +/- 46660762.78, N = 3SE +/- 163780192.60, N = 3SE +/- 84288798.91, N = 3SE +/- 85304308.49, N = 3740773306277235976724056670358173539010144901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655600K1200K1800K2400K3000KSE +/- 1824.02, N = 3SE +/- 331.00, N = 3SE +/- 1158.12, N = 3SE +/- 365.28, N = 32788354.72755042.32136538.12029271.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96553691215SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 4SE +/- 0.05, N = 49.469.5012.2112.97

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 96551326395265SE +/- 0.20, N = 8SE +/- 0.18, N = 8SE +/- 0.15, N = 7SE +/- 0.15, N = 759.2156.4146.1243.191. (CC) gcc options: -O3 -march=native -fopenmp

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 96551326395265SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 356.5255.1843.9441.25

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 965510002000300040005000SE +/- 3.19, N = 3SE +/- 5.09, N = 3SE +/- 4.08, N = 3SE +/- 4.42, N = 34802.284774.333680.243506.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 965570K140K210K280K350KSE +/- 32.03, N = 3SE +/- 53.35, N = 3SE +/- 83.70, N = 3SE +/- 7.33, N = 33256473230102499452378231. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570K140K210K280K350KSE +/- 191.99, N = 3SE +/- 45.32, N = 3SE +/- 424.21, N = 3SE +/- 23.62, N = 33252783230002497452377391. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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-256-GCMEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655400000M800000M1200000M1600000M2000000MSE +/- 836488131.91, N = 3SE +/- 2482404044.78, N = 3SE +/- 1492761099.56, N = 3SE +/- 243566219.34, N = 318386985505201837765850747140439809711013445994030871. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655400000M800000M1200000M1600000M2000000MSE +/- 679943093.73, N = 3SE +/- 2715663243.10, N = 3SE +/- 1180292536.08, N = 3SE +/- 1295376232.10, N = 320073653514701999939029673153038042717314728351518271. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 9655110220330440550SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34964554083641. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655816243240SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 324.0024.2331.4732.67

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655100K200K300K400K500KSE +/- 401.79, N = 3SE +/- 359.42, N = 3SE +/- 316.52, N = 3SE +/- 414.37, N = 3465436.8463866.6353852.5341991.71. (CXX) g++ options: -O3 -march=native -fPIE -pie

OpenSSL

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965540000M80000M120000M160000M200000MSE +/- 76407988.26, N = 3SE +/- 109659436.53, N = 3SE +/- 143659903.05, N = 3SE +/- 343661637.22, N = 31866603933131862249662231428903713301376255919071. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 965548121620SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.06, N = 3SE +/- 0.11, N = 312.4112.5016.1816.80

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655200M400M600M800M1000MSE +/- 707549.54, N = 3SE +/- 300359.50, N = 3SE +/- 707531.18, N = 3SE +/- 696066.18, N = 38221028288219259996276331216077696501. (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: SharpenEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965590180270360450SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34324033543201. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

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 96554080120160200SE +/- 0.09, N = 8SE +/- 0.11, N = 8SE +/- 0.03, N = 7SE +/- 0.03, N = 7184.61179.45144.66136.80MIN: 180.02 / MAX: 191.76MIN: 175.01 / MAX: 186.64MIN: 141.2 / MAX: 148.79MIN: 133.41 / MAX: 142.65

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552000M4000M6000M8000M10000MSE +/- 7442296.54, N = 3SE +/- 14339494.80, N = 3SE +/- 2315407.33, N = 3SE +/- 6065476.07, N = 385272333338494733333664003333363276000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 96551.3M2.6M3.9M5.2M6.5MSE +/- 17530.74, N = 3SE +/- 10789.95, N = 3SE +/- 24173.23, N = 3SE +/- 8964.82, N = 36122915.496042366.344746235.884550652.101. (CC) gcc options: -O2 -lrt" -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: Barbershop - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655306090120150SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 386.6286.87111.32116.47

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.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552004006008001000SE +/- 2.19, N = 3SE +/- 2.99, N = 3SE +/- 1.89, N = 3SE +/- 3.01, N = 31129.231109.75881.12840.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -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 TotalEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97556K12K18K24K30KSE +/- 106.26, N = 3SE +/- 146.49, N = 3SE +/- 134.59, N = 3SE +/- 214.06, N = 325992.523913.020634.219454.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

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 96556001200180024003000SE +/- 15.82, N = 3SE +/- 2.64, N = 3SE +/- 4.41, N = 3SE +/- 1.95, N = 32780.142665.922221.852083.42

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 96552000M4000M6000M8000M10000MSE +/- 1068228.02, N = 3SE +/- 6331139.97, N = 3SE +/- 2850341.11, N = 3SE +/- 7992983.03, N = 382613666678151900000651483333362046333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 96558001600240032004000SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 33741365429762814MIN: 305 / MAX: 43215MIN: 293 / MAX: 42376MIN: 233 / MAX: 37345MIN: 215 / MAX: 36394

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 9655600M1200M1800M2400M3000MSE +/- 1980179.57, N = 3SE +/- 3925274.23, N = 3SE +/- 2781686.14, N = 3SE +/- 1659651.90, N = 328572333332855466667218836666721527666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 965550100150200250SE +/- 0.05, N = 9SE +/- 0.06, N = 8SE +/- 0.07, N = 8SE +/- 0.11, N = 8229.30223.21180.80173.00MIN: 226.03 / MAX: 234.63MIN: 219.93 / MAX: 227.73MIN: 178.16 / MAX: 184.07MIN: 170.04 / MAX: 176.59

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96554080120160200SE +/- 0.07, N = 5SE +/- 0.14, N = 5SE +/- 0.06, N = 5SE +/- 0.07, N = 5196.93191.78155.23148.79MIN: 193.84 / MAX: 201.41MIN: 188.36 / MAX: 196.2MIN: 152.81 / MAX: 158.1MIN: 146.45 / MAX: 152.13

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 96551224364860SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 355.4854.4043.8542.20

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551224364860SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 355.2854.3944.4642.13

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655300K600K900K1200K1500KSE +/- 1201.85, N = 3SE +/- 1527.53, N = 3SE +/- 1000.00, N = 3SE +/- 1855.92, N = 313613331355000104200010393331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965548121620SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 312.7112.7415.9416.55

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: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 10.73, N = 3SE +/- 33.49, N = 3SE +/- 5.58, N = 3SE +/- 10.75, N = 310716.3210557.168640.548266.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 322.7322.2218.4017.631. (CXX) g++ options: -O3 -lm

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 9655918273645SE +/- 0.03, N = 4SE +/- 0.09, N = 4SE +/- 0.04, N = 3SE +/- 0.05, N = 340.9039.1434.1331.90

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 9655EPYC 9655 - Power40K80K120K160K200KSE +/- 629.86, N = 5SE +/- 878.07, N = 5SE +/- 367.39, N = 5SE +/- 412.37, N = 5197015.00194853.91154462.83153956.621. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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: MediumEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551020304050SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 345.8543.8538.4035.95

Y-Cruncher

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

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755246810SE +/- 0.011, N = 6SE +/- 0.010, N = 5SE +/- 0.020, N = 5SE +/- 0.015, N = 56.4306.5898.0688.173

ASKAP

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

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965515K30K45K60K75KSE +/- 519.97, N = 15SE +/- 395.30, N = 3SE +/- 601.20, N = 3SE +/- 328.80, N = 370893.570762.857262.655898.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 96551326395265SE +/- 0.45, N = 10SE +/- 0.31, N = 10SE +/- 0.32, N = 11SE +/- 0.32, N = 1557.0955.7948.1045.221. (CXX) g++ options: -O3 -lm -ldl

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 9655150300450600750SE +/- 6.53, N = 15SE +/- 3.94, N = 8SE +/- 1.60, N = 8SE +/- 1.30, N = 8709.99701.73605.28566.061. (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: MediumEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.09, N = 4SE +/- 0.06, N = 456.2253.9548.1944.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551224364860SE +/- 0.08, N = 5SE +/- 0.06, N = 5SE +/- 0.08, N = 4SE +/- 0.03, N = 455.5353.4247.7044.401. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 965516K32K48K64K80KSE +/- 308.95, N = 15SE +/- 438.43, N = 3SE +/- 380.83, N = 3SE +/- 380.83, N = 374456.574093.359791.159791.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 96550.25450.5090.76351.0181.2725SE +/- 0.010896, N = 15SE +/- 0.010948, N = 15SE +/- 0.010945, N = 15SE +/- 0.014837, N = 150.9126770.9348961.0708831.1313251. (CXX) g++ options: -O2 -pthread -lbz2 -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: 20k AtomsEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551530456075SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.52, N = 369.3667.7859.2356.101. (CXX) g++ options: -O3 -lm -ldl

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 55.66, N = 6SE +/- 80.37, N = 15SE +/- 64.97, N = 6SE +/- 41.67, N = 68647.628449.117285.367042.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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 96555001000150020002500SE +/- 2.50, N = 4SE +/- 2.78, N = 4SE +/- 11.52, N = 4SE +/- 9.05, N = 42323.462271.952028.181897.88

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965580K160K240K320K400KSE +/- 5529.34, N = 15SE +/- 4917.65, N = 15SE +/- 1953.53, N = 6SE +/- 1611.44, N = 6385558.53383678.73323478.52315803.131. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96554080120160200160.37160.70192.79195.151. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655200K400K600K800K1000KSE +/- 3611.53, N = 3SE +/- 3530.77, N = 3SE +/- 1100.58, N = 3SE +/- 660.09, N = 39202729081597821967628911. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 96550.6661.3321.9982.6643.33SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 42.962.852.662.47

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 965520406080100SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 376.5877.2690.0791.03

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 965561218243020.2820.6022.2624.071. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

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 9655246810SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 76.065.845.495.17

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655246810SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 76.065.855.495.19

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 965548121620SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.02, N = 7SE +/- 0.02, N = 714.5314.2413.1312.49

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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power40K80K120K160K200KSE +/- 1302.88, N = 15SE +/- 1273.22, N = 15SE +/- 1820.15, N = 15SE +/- 1911.09, N = 15167026.93165446.88144599.38144307.521. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965540K80K120K160K200KSE +/- 729.29, N = 3SE +/- 1255.01, N = 3SE +/- 370.35, N = 3SE +/- 658.72, N = 3199930.18190777.83185028.40173358.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenFOAM

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965561218243021.4422.8622.9424.701. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965570140210280350SE +/- 0.67, N = 3SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 0.26, N = 3288.00292.74329.53331.17MIN: 260.94 / MAX: 324.73MIN: 133.4 / MAX: 322.99MIN: 165.13 / MAX: 354.63MIN: 259.06 / MAX: 360.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655612182430SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 323.8224.1326.4927.191. (CC) gcc options: -shared -lxc -lblas -lmpi

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 9655306090120150SE +/- 0.88, N = 11SE +/- 1.10, N = 7SE +/- 0.89, N = 6SE +/- 0.62, N = 6121.93118.16112.52107.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 965548121620SE +/- 0.19, N = 3SE +/- 0.14, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 314.4613.9613.2412.74MIN: 7.35 / MAX: 16.92MIN: 6.55 / MAX: 16.95MIN: 6.48 / MAX: 15.17MIN: 6.13 / MAX: 14.49

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1122334455SE +/- 0.07, N = 3SE +/- 0.60, N = 3SE +/- 0.48, N = 15SE +/- 0.41, N = 1549.8948.8144.2043.981. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152EPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755510152025SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.19, N = 419.7419.2217.4517.42MIN: 18.97 / MAX: 20.57MIN: 18.55 / MAX: 19.77MIN: 16.79 / MAX: 18.16MIN: 16.53 / MAX: 18.16

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power1122334455SE +/- 0.38, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.49, N = 348.8446.7143.6143.25MIN: 46.8 / MAX: 50.35MIN: 44.4 / MAX: 48.11MIN: 41.9 / MAX: 45.08MIN: 40.26 / MAX: 45.01

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 Vehicle Bike Detection FP16 - Device: CPUEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 9655246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.867.047.227.68MIN: 3.75 / MAX: 24.2MIN: 4.45 / MAX: 21.05MIN: 4.48 / MAX: 26.34MIN: 4.09 / MAX: 22.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 965520406080100SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 387.6688.8994.8197.58

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 9655EPYC 9655 - Power246810SE +/- 0.01593429, N = 6SE +/- 0.01274608, N = 6SE +/- 0.03188987, N = 5SE +/- 0.07400503, N = 56.457183446.478045387.095553407.174051761. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power1122334455SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 448.5246.5243.8343.77MIN: 46.49 / MAX: 49.53MIN: 44.09 / MAX: 47.73MIN: 41.6 / MAX: 45.11MIN: 41.1 / MAX: 45.21

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 9655130026003900520065005545.685574.366043.216147.331. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96551.04012.08023.12034.16045.2005SE +/- 0.00697, N = 3SE +/- 0.01359, N = 3SE +/- 0.00449, N = 3SE +/- 0.00164, N = 34.622774.577344.357384.18891

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 965570140210280350SE +/- 1.00, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 2.08, N = 33133133032841. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

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: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 96551.3142.6283.9425.2566.57SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.305.445.625.84MIN: 2.08 / MAX: 28.98MIN: 1.9 / MAX: 24.72MIN: 2.01 / MAX: 29.21MIN: 2.3 / MAX: 25.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 965520406080100SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 372.3273.6775.3879.20

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 9655306090120150SE +/- 0.66, N = 3SE +/- 0.21, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3108.75109.56114.80118.70

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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965560120180240300SE +/- 2.17, N = 9SE +/- 2.09, N = 9SE +/- 2.25, N = 9SE +/- 1.90, N = 9281.59279.70273.18258.611. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Memcached

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

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96553M6M9M12M15MSE +/- 107977.86, N = 3SE +/- 127571.69, N = 3SE +/- 136953.60, N = 3SE +/- 51257.47, N = 313608100.1213567376.3013316660.1012513777.691. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 965520406080100SE +/- 0.32, N = 7SE +/- 0.49, N = 7SE +/- 0.62, N = 7SE +/- 0.23, N = 697.8896.8196.0490.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

ClickHouse

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

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power160320480640800SE +/- 1.82, N = 3SE +/- 1.08, N = 3SE +/- 6.12, N = 3SE +/- 5.79, N = 3750.83740.48698.12697.07MIN: 73.53 / MAX: 7500MIN: 68.57 / MAX: 8571.43MIN: 80.86 / MAX: 6666.67MIN: 82.42 / MAX: 5454.55

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 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97554080120160200SE +/- 0.42, N = 3SE +/- 0.40, N = 3SE +/- 1.23, N = 3SE +/- 0.88, N = 3187.32194.47199.61201.76

Timed Mesa Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 975548121620SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.07, N = 412.7012.7913.6413.67

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 Re-Identification Retail FP16 - Device: CPUEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96551.05082.10163.15244.20325.254SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.374.454.484.67MIN: 2.16 / MAX: 18.61MIN: 1.92 / MAX: 23.23MIN: 1.99 / MAX: 22.31MIN: 2.58 / MAX: 20.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 9655510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 318.6818.6919.3619.95MIN: 9.73 / MAX: 45.34MIN: 9.95 / MAX: 40.46MIN: 9.99 / MAX: 44.41MIN: 10.11 / MAX: 40.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power170340510680850SE +/- 2.15, N = 3SE +/- 0.75, N = 3SE +/- 4.70, N = 3SE +/- 0.97, N = 3771.87763.39724.64724.35MIN: 73.53 / MAX: 8571.43MIN: 69.36 / MAX: 8571.43MIN: 85.11 / MAX: 6666.67MIN: 81.52 / MAX: 6000

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 9655 - PowerEPYC 9755EPYC 9655612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 324.1524.0723.7422.671. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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, Second RunEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power2004006008001000SE +/- 4.08, N = 3SE +/- 5.05, N = 3SE +/- 5.27, N = 3SE +/- 5.61, N = 3774.74755.69729.56729.06MIN: 73.71 / MAX: 8571.43MIN: 69.93 / MAX: 7500MIN: 81.63 / MAX: 7500MIN: 84.27 / MAX: 7500

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 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 975550100150200250SE +/- 0.42, N = 3SE +/- 1.14, N = 3SE +/- 0.87, N = 3SE +/- 0.65, N = 3215.32210.14203.72203.33

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: Machine Translation EN To DE FP16 - Device: CPUEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9655EPYC 97551326395265SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 354.3756.5856.9857.57MIN: 27.11 / MAX: 90.92MIN: 26.76 / MAX: 102.79MIN: 27.41 / MAX: 98.07MIN: 34.99 / MAX: 106.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 - Mesh TimeEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755306090120150113.82114.28120.26120.351. (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

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755816243240SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 336.0135.7034.3634.211. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755150300450600750SE +/- 1.63, N = 3SE +/- 2.91, N = 3SE +/- 8.09, N = 3SE +/- 7.40, N = 3693.23671.97662.67659.11

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96553691215SE +/- 0.042, N = 3SE +/- 0.039, N = 3SE +/- 0.028, N = 3SE +/- 0.048, N = 310.0919.9489.8109.6231. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

Timed ImageMagick Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power3691215SE +/- 0.036, N = 5SE +/- 0.030, N = 5SE +/- 0.013, N = 5SE +/- 0.035, N = 59.4339.5279.8689.868

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 9655700M1400M2100M2800M3500MSE +/- 2174206.39, N = 3SE +/- 6342005.91, N = 3SE +/- 3204898.91, N = 3SE +/- 4068843.09, N = 331844133333177082000308597700030767396671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

NWChem

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655300600900120015001292.51301.91326.21334.11. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

Timed Gem5 Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power306090120150SE +/- 1.57, N = 3SE +/- 1.17, N = 3SE +/- 1.52, N = 3SE +/- 0.32, N = 3125.35126.33128.13129.01

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 965550100150200250SE +/- 0.33, N = 3SE +/- 0.52, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3246.59246.24246.03240.07

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 7.0Time To CompileEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965548121620SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 413.7813.9113.9814.09

Timed Godot Game Engine Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965520406080100SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 382.5482.9383.2984.13

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 96554K8K12K16K20KSE +/- 2.31, N = 3SE +/- 0.00, N = 3SE +/- 22.76, N = 3SE +/- 10.86, N = 316512.016464.116337.916317.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 41.04 / Avg: 253.26 / Max: 371.62Min: 21.26 / Avg: 281.8 / Max: 401.73Min: 44.19 / Avg: 324.1 / Max: 500.98Min: 22.8 / Avg: 330.62 / Max: 511.84

Stockfish

OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption MonitorEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 42.3 / Avg: 328.02 / Max: 363.72Min: 42.64 / Avg: 359.41 / Max: 398.52Min: 44.77 / Avg: 440.56 / Max: 487.21Min: 44.78 / Avg: 457.6 / Max: 501.48

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power150K300K450K600K750K697627.07689321.78668223.51654520.00

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570M140M210M280M350MSE +/- 4084095.42, N = 15SE +/- 4338134.07, N = 15SE +/- 4142878.23, N = 12SE +/- 3587851.54, N = 153154303163073439232352408592191895431. (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

SVT-AV1

MinAvgMaxEPYC 965542.2100.1228.1EPYC 9655 - Power41.5107.8264.9EPYC 975544.4115.6288.1EPYC 9755 - Power44.3117.3293.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.561.121.682.242.82.4892.4662.3532.350

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965560120180240300SE +/- 7.89, N = 15SE +/- 7.58, N = 15SE +/- 7.29, N = 15SE +/- 6.06, N = 15275.54271.92265.77249.291. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

LuxCoreRender

MinAvgMaxEPYC 965542.5300.7347.5EPYC 9655 - Power42.4339.5384.3EPYC 975545.0431.6490.9EPYC 9755 - Power44.8453.0507.1OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.0180.0360.0540.0720.090.0800.0760.0740.068

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655714212835SE +/- 0.52, N = 15SE +/- 0.35, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 332.0230.8425.7024.19MIN: 26.48 / MAX: 43.04MIN: 26.95 / MAX: 43.78MIN: 22.87 / MAX: 34.83MIN: 21.58 / MAX: 32.81

MinAvgMaxEPYC 965542.5312.9342.7EPYC 9655 - Power42.0356.6389.4EPYC 975544.6438.9482.6EPYC 9755 - Power44.5466.8501.9OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01220.02440.03660.04880.0610.0540.0510.0480.045

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655510152025SE +/- 0.21, N = 3SE +/- 0.33, N = 15SE +/- 0.23, N = 15SE +/- 0.17, N = 1521.1620.9418.2916.80MIN: 20.29 / MAX: 27.72MIN: 19.5 / MAX: 27MIN: 16.97 / MAX: 21.39MIN: 15.67 / MAX: 20.23

Pennant

MinAvgMaxEPYC 965542.5209.0339.7EPYC 9655 - Power42.2219.6373.2EPYC 9755 - Power44.4243.8486.1EPYC 975544.5248.9471.5OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551.23272.46543.69814.93086.1635SE +/- 0.054249, N = 15SE +/- 0.073388, N = 15SE +/- 0.045321, N = 15SE +/- 0.054129, N = 154.1082034.3936065.2107195.4787081. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

MinAvgMaxEPYC 9655 - Power42.0171.1370.8EPYC 965542.5171.4339.9EPYC 975544.6210.5475.6EPYC 9755 - Power44.5210.5481.8OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor120240360480600

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.70571.41142.11712.82283.5285SE +/- 0.059060, N = 15SE +/- 0.045208, N = 15SE +/- 0.064100, N = 15SE +/- 0.087065, N = 152.7064622.7612602.7677683.1365171. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

151 Results Shown

miniBUDE:
  OpenMP - BM1:
    Billion Interactions/s
    GFInst/s
OSPRay Studio
OpenVINO
OSPRay Studio
OpenVINO:
  Face Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
oneDNN
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
Primesieve
miniBUDE:
  OpenMP - BM2:
    Billion Interactions/s
    GFInst/s
OpenVINO
OpenSSL
Helsing
NAS Parallel Benchmarks
7-Zip Compression
OSPRay Studio:
  1 - 4K - 16 - Path Tracer - CPU
  3 - 4K - 1 - Path Tracer - CPU
Primesieve
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
ASTC Encoder:
  Very Thorough
  Exhaustive
m-queens
OpenVINO
ASTC Encoder
Blender
RocksDB
OpenSSL:
  SHA512
  RSA4096
Blender
ACES DGEMM
OSPRay
OpenVINO
John The Ripper:
  Blowfish
  bcrypt
OpenSSL:
  AES-256-GCM
  AES-128-GCM
GraphicsMagick
Blender
QuantLib
OpenSSL
Blender
Speedb
GraphicsMagick
Embree
Liquid-DSP
Coremark
Blender
OpenVINO
srsRAN Project
TensorFlow
Liquid-DSP
OpenVKL
Liquid-DSP
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
OSPRay:
  particle_volume/scivis/real_time
  particle_volume/ao/real_time
John The Ripper
Blender
OpenVINO
GROMACS
uvg266
NAS Parallel Benchmarks
uvg266
Y-Cruncher
ASKAP
LAMMPS Molecular Dynamics Simulator
ASTC Encoder
Kvazaar:
  Bosphorus 4K - Medium
  Bosphorus 4K - Slow
ASKAP
Parallel BZIP2 Compression
LAMMPS Molecular Dynamics Simulator
NAS Parallel Benchmarks
TensorFlow
NAS Parallel Benchmarks
OpenFOAM
7-Zip Compression
Intel Open Image Denoise
OpenRadioss
OpenFOAM
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
NAMD
NAS Parallel Benchmarks
OpenVINO
OpenFOAM
OpenVINO
GPAW
SVT-AV1
LuxCoreRender
ONNX Runtime
PyTorch:
  CPU - 256 - ResNet-152
  CPU - 256 - ResNet-50
OpenVINO
Timed LLVM Compilation
Xcompact3d Incompact3d
PyTorch
WRF
NAMD
GraphicsMagick
OpenVINO
OpenRadioss
Timed Node.js Compilation
SVT-AV1
Memcached
Kvazaar
ClickHouse
Timed Linux Kernel Compilation
Timed Mesa Compilation
OpenVINO:
  Person Re-Identification Retail FP16 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
ClickHouse
VVenC
ClickHouse
TensorFlow
OpenVINO
OpenFOAM
x265
TensorFlow
VVenC
Timed ImageMagick Compilation
Algebraic Multi-Grid Benchmark
NWChem
Timed Gem5 Compilation
TensorFlow
Timed FFmpeg Compilation
Timed Godot Game Engine Compilation
ASKAP
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  CPU Power Consumption Monitor
  Chess Benchmark
Stockfish
SVT-AV1:
  CPU Power Consumption Monitor
  Preset 13 - Bosphorus 4K
SVT-AV1
LuxCoreRender:
  CPU Power Consumption Monitor
  Orange Juice - CPU
LuxCoreRender
LuxCoreRender:
  CPU Power Consumption Monitor
  DLSC - CPU
LuxCoreRender
Pennant
Pennant
Pennant
Pennant