AMD EPYC Genoa Zen 4 Linux Benchmarks

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  Test
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EPYC 9554
November 02 2022
  14 Hours, 11 Minutes
EPYC 9554 - Power
November 02 2022
  13 Hours, 29 Minutes
EPYC 9554 2P
October 31 2022
  13 Hours, 2 Minutes
EPYC 9554 2P - Power
November 01 2022
  12 Hours, 46 Minutes
EPYC 9654
October 15 2022
  13 Hours, 18 Minutes
EPYC 9654 - Power
October 16 2022
  13 Hours, 29 Minutes
EPYC 9654 2P
October 07 2022
  10 Hours, 1 Minute
EPYC 9654 2P - Power
October 07 2022
  10 Hours, 7 Minutes
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  12 Hours, 33 Minutes

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AMD EPYC Genoa Zen 4 Linux BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - PowerAMD EPYC 9554 64-Core @ 3.76GHz (64 Cores / 128 Threads)AMD Titanite_4G (RTI1002E BIOS)AMD Device 14a4768GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVGA HDMIBroadcom NetXtreme BCM5720 PCIeUbuntu 22.106.0.0-060000rc3daily20220904-generic (x86_64)GNOME ShellX Server 1.21.1.31.3.211GCC 12.2.0ext41920x10802 x AMD EPYC 9554 64-Core @ 3.76GHz (128 Cores / 256 Threads)1520GBAMD EPYC 9654 96-Core @ 3.71GHz (96 Cores / 192 Threads)768GB2 x AMD EPYC 9654 96-Core @ 3.71GHz (192 Cores / 384 Threads)1520GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-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-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: amd-pstate performance (Boost: Enabled) - CPU Microcode: 0xa10110dJava Details- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu1)Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - PowerLogarithmic Result OverviewPhoronix Test SuiteBRL-CADSysbenchOpenSSLCoremarkASKAPACES DGEMMm-queensOSPRay StudioC-RayNAMDTachyonOSPRayBlenderXmrigWRFASTC EncoderEmbreeRodiniaPennantGROMACSLULESH7-Zip CompressionXcompact3d Incompact3dHigh Performance Conjugate GradientRELIONNAS Parallel BenchmarksGPAWasmFishAlgebraic Multi-Grid BenchmarkGraphicsMagickGraph500OpenVINOLuxCoreRenderTimed Linux Kernel CompilationLiquid-DSPIntel Open Image DenoiseebizzyTimed Node.js CompilationTimed LLVM CompilationPOV-RayoneDNNKvazaarTimed MPlayer CompilationminiFENWChemLeelaChessZeroWebP2 Image EncodeTimed Gem5 CompilationDaCapo BenchmarkPJSIPTimed Godot Game Engine CompilationNode.js Express HTTP Load TestEtcpakBuild2Timed Mesa CompilationPHPBenchTimed Wasmer CompilationZstd CompressionQuantLibPyPerformancesrsRANWebP Image EncodePyBenchNumpy BenchmarkTimed CPython Compilationsimdjson

AMD EPYC Genoa Zen 4 Linux Benchmarksgpaw: Carbon Nanotubegromacs: MPI CPU - water_GMX50_barenamd: ATPase Simulation - 327,506 Atomsgraph500: 26graph500: 26graph500: 26graph500: 26hpcg: wrf: conus 2.5kmrelion: Basic - CPUamg: incompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dlulesh: pennant: leblancbigpennant: sedovbigminife: Smallmt-dgemm: Sustained Floating-Point Ratenwchem: C240 Buckyballnpb: BT.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: SP.Bnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Crodinia: OpenMP LavaMDopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddinglczero: Eigenonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-mesa: Time To Compilebuild-mplayer: Time To Compilebuild-nodejs: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-wasmer: Time To Compilebuild2: Time To Compiledacapobench: Jythoncompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingcompress-zstd: 19 - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyc-ray: Total Time - 4K, 16 Rays Per Pixelpovray: Trace Timeembree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownoidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096ospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerluxcorerender: DLSC - CPUluxcorerender: Orange Juice - CPUkvazaar: Bosphorus 4K - Very Fastgraphics-magick: Enhancedgraphics-magick: Sharpenastcenc: Mediumastcenc: Thoroughastcenc: Exhaustiveetcpak: Multi-Threaded - ETC2ebizzy: node-express-loadtest: simdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDsimdjson: TopTweetbrl-cad: VGR Performance Metricpybench: Total For Average Test Timespyperformance: crypto_pyaespyperformance: django_templatepyperformance: json_loadspyperformance: regex_compilenumpy: phpbench: PHP Benchmark Suitesrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: OFDM_Testliquid-dsp: 32 - 256 - 57liquid-dsp: 64 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 256 - 256 - 57pjsip: OPTIONS, Statelessquantlib: openssl: RSA4096openssl: RSA4096openssl: SHA256xmrig: Monero - 1Mxmrig: Wownero - 1Msysbench: CPUm-queens: Time To Solvecoremark: CoreMark Size 666 - Iterations Per Secondasmfish: 1024 Hash Memory, 26 Depthtachyon: Total Timewebp: Defaultwebp: Quality 100webp2: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7openfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeaom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 0 Two-Pass - Bosphorus 4Konednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: Cell Phone Drop Testopenradioss: Bumper Beamopenradioss: INIVOL and Fluid Structure Interaction Drop Containerpgbench: 1 - 250 - Read Onlypgbench: 1 - 250 - Read Only - Average Latencypgbench: 1 - 500 - Read Onlypgbench: 1 - 500 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 500 - Read Only - Average LatencyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power40.2919.6410.2810179986900082226500035160700044152200042.81238834.711256.40623533800002.546472799.56905289268.57823730166.9164.0234707.06554251154.530.0347271456.1235197.757198.908634.10124561.13254430.04164817.94119972.764878.23125660.1445631.3432.55341.63766.8080.6297379.560.52132051.790.3723.071373.8323.121372.748228.704165.027.674978.422847.3911.234762.616.71449.7671.0831647.337485.189960.5951160.2802371.12008117.756180.478150.76634.52924.730185.80520.7899.162133.19915.462251.67940.09850.8633205545728523531103.33926.018.3946.0024.0058.18172.188.5417.44598.437685.5588111.699391.71732.672.671.2621.522325.698012892062341316131020946417381537246074915212.8618.5062.331216697360.554747.54005.02958966.411401319378465.701.274.176.956.65119637584987.036.016.3115592.89855637421.2168.1175.1418.4160.4451.3169.3141.995.91645666672319266667434973333344357666674512600000897333075.117536.01141402.410369096473748513.860490.2309133.889.6192950220.28209520953314119.968818.7711.7011.760.720.3622.83768231.211061102.78395297.8689126.6013.911.490.530.5976980.2818450.40053189.033611.2257262.9633121.4346172.18435.8020520.750061.3817252.54913.9577843.374537.890626.437837.819135.661592.677710.7833329.116797.0949189.26365.2790364.703987.562526.444837.809835.6897109.3250.1423.1371.10117.4927601670.09127178720.18426483750.09426010260.19239.22010.3450.2620779739400081707500035490500044403100045.30458828.5250.95223555056672.481463919.59882088268.65023830428.0933.9191486.93643051282.330.1266581441.5237735.426940.408887.57127498.51253395.11167629.48120312.324895.84128432.8746439.6029.78142.87744.4483.2799729.060.51133585.430.3623.901326.7423.841330.398512.584279.787.475429.942880.4811.104936.156.48470.9167.8931335.537265.996070.5862750.2610291.11574115.771178.753148.96934.20023.878179.86020.5688.947132.31615.496251.21140.17550.7063171551395524476102.13837.017.4543.2722.5954.76164.668.5727.145100.159489.3090116.104096.78972.732.731.2922.023026.448112401989839777126220230404061483237824763813.6018.6362.131239704388.567350.93695.38248976.889476910678845.721.264.176.916.60124796084986.836.016.3114593.13862102420.0169.0175.6422.8160.9448.7169.1141.695.91668000002308200000461293333348541666674948166667898343089.517546.11141575.610374592021348786.061774.2309102.119.5662930510.78947121259882318.806318.8511.6911.690.720.3622.8539130.319236110.84398298.3941526.3813.981.490.530.5859130.2600690.39718689.096011.2179281.8339113.4074172.25895.7994557.258157.3992255.82933.9067879.221036.350326.579137.618136.978893.343010.7061358.429489.1254189.92755.2608388.323882.288526.490537.744336.9625108.1950.2822.7871.04117.8127544090.09127227940.18326406540.09526147700.19124.65117.1040.172141115180000119287000045492600063181900083.61004329.903131.59542587173331.498298304.96696207134.33438159398.7862.3743823.83209343574.254.6662341341.8463499.4912851.1616197.05234088.25471697.13222846.94241831.077690.07233220.3782493.4018.72182.01389.27156.27161378.100.51175383.100.3536.22878.5535.97884.8016203.418090.583.949148.556063.845.277395.024.32792.5340.3460853.971171.896990.4391750.2897080.75975483.338159.739135.99232.59719.139113.17219.8067.795100.25815.472253.33540.72348.3203302752608943273103.33870.910.0124.4313.4931.1197.974.7235.851160.2382141.6380176.3458149.02193.843.821.8137.046446.031271711454229717311164623309859136902743817.6825.8273.3717561102548.847990.55129.64188902.847539388274535.701.274.156.926.66400666784486.635.816.5114592.13876214419.5168.0174.0420.9160.1450.7168.5141.793.41666666672317400000461416666785459666678713666667836613106.434900.02282702.120540803781381468.597269.4615405.645.0166009403.02148836846280110.483318.8511.6910.340.850.4621.93032720.980166109.41715129.8052725.1712.561.460.520.4394040.2942290.35996588.201811.3309509.1313125.4183167.07245.9782996.360864.1208256.65173.89411615.510239.549826.109038.294670.045191.504110.9209629.1132101.5081188.03855.3134710.898189.806526.140138.248469.6170165.9480.0617.4873.1387.7834443400.07334390450.14533600700.07432564420.15423.50118.3820.155641238540000129753000048813000067072100058.17324503.415130.64542795393331.515555214.95660475133.95503760173.8692.3756193.81692942074.254.5674791309.8462177.8712962.4716347.89234367.13473377.17214561.41239623.838001.12232995.1381468.9517.08983.26383.87158.29161750.110.51171196.420.3537.16855.6437.60846.3116421.678198.283.899215.526310.015.067429.474.30808.1639.5662047.374093.3101880.4426350.2820140.74526581.680159.932134.83232.96918.791109.23919.7967.67699.65015.446253.27340.86448.4913321762777947566102.93843.59.2622.3012.3228.5789.464.4915.733163.8339147.8460178.9679157.17183.913.891.8437.952448.059166710640213236831088921776799127892556121.5326.8574.7017371114613.639898.402110.70698825.794582094875005.721.274.166.936.65413678484687.335.716.4115591.08849730421.6168.7175.5420.2159.6452.9168.9141.095.61641666672311866667462540000092267333339696366667847453059.935088.92282801.720533872744782034.898131.4615220.305.0296023637.4311323734668579.830618.8111.6710.150.840.4622.28628121.195287106.44464129.1737725.3712.741.450.520.4386930.2841250.35299088.054311.3500557.5457114.5609168.25315.93691090.986758.5344255.74413.90801739.259536.733726.394337.880973.513390.942510.9903694.617891.9435189.73065.2659776.298082.259226.284838.038873.1169166.4679.9916.6472.5988.5434603450.07234648650.14434114340.07433147900.15135.83411.1470.2479888731400090661300041764800052775100045.22397676.327247.08723334303332.289035308.22620277254.85420729508.5903.7630215.84623051313.039.1496801550267319.178633.6211335.94121799.77274263.37162758.97125438.454888.52120349.9654251.0228.60950.06955.5196.87112325.820.65149560.470.4527.741714.9827.551722.489842.935004.259.586003.733426.6913.995763.318.32547.9887.5242366.747485.292580.6709700.2858201.14318105.192171.120146.31233.25823.605173.10520.7708.765123.42615.585254.58540.45350.6023240658923652970106.13798.115.6338.7220.4748.89143.316.6627.178120.7582102.9719136.1056109.91613.043.051.4426.532031.166410601697133978107117162343231263202284049214.3121.4976.671429843422.019856.19945.95689257.884428720078295.671.254.106.826.57312399085588.236.316.6116585.06843665416.8166.6172.8415.7158.5442.0166.2139.492.21620000002268800000405450000051748000005193466667878983028.222205.31463630.712597944460758736.175830.9446395.227.9883753920.39294324917587916.758618.5311.4811.600.780.4125.94265528.518947131.29312246.660780.6698030.2907280.39445687.517111.4204316.5567151.3965189.87505.2631626.042376.6033192.24205.19981014.615147.250635.573228.105242.6917101.65399.8328401.1991119.4099192.30565.1960447.5468107.005935.663628.035142.5205119.9466.8123.0973.76103.5932861360.07632360190.15431356260.08031204140.16032.55112.9560.2215786336800088172900041274100052293300044.47937370.388245.02523419963332.241371108.07779980253.41409830521.1183.3825165.21123251284.743.9533951391274024.349551.9412299.79125326.19272077.94168014.13126790.364941.75121727.3155458.3924.48953.51890.80103.49118385.580.62159812.840.4329.741597.3129.681598.2610601.835329.579.006582.283414.6214.046138.927.81590.0881.2746081.451341.3101550.6116000.2811041.0895997.624167.351141.43932.44722.509158.31820.3778.414117.06215.626254.61340.40549.5273219700085741536107.33852.813.5933.3918.0543.03127.115.8046.578137.9317115.5432154.6357123.62273.333.331.5830.556036.3203916147222944592614926297151095175693505917.0723.6277.051665999480.188565.39927.03689335.755467056277805.661.254.116.836.55317945786487.436.516.7116583.50843411413.3166.6172.1411.7158.4441.3166.4139.894.51612363642284300000454753333361829000006140266667877283043.025901.81689673.114316347005763045.582117.1457526.556.9534111551.58132728031382314.614518.5911.5512.060.830.4523.19027825.137946120.41782237.937480.6101190.2751940.37518489.498511.1674336.6001142.3253196.19685.0933666.250071.9609192.51625.19231133.409542.285737.253526.837549.0994102.64889.7375428.4426111.7465199.58455.0062499.748195.851937.151726.911148.9753111.2861.5220.4069.3790.8538724730.06538181310.13137014620.06737003950.13523.15018.6860.127971342540000143757000053986200073788900086.02384070.107127.52443583096671.481720704.36289297125.38757858017.0682.4222643.51260345319.370.4827541534500990.5216424.6120121.23215057.58490393.91219454.01257843.167694.93197332.1879107.0816.625102.38468.17194.03144811.670.54166269.030.3638.041253.9837.951256.4119812.099979.664.7911178.657435.726.449010.785.32973.4549.2683966.693531.790090.5254580.3811550.98473474.648158.694137.08433.77818.997107.13620.2507.69798.50815.64255.74841.09348.77633808714401166359108.43797.68.4320.1211.5025.7181.563.7806.035193.2519175.9009213.2526182.47983.573.571.6943.964354.2093579925618567600937518823693110552208317.6629.1371.5719231183571.6089106.622411.73949305.670525031675085.671.254.106.866.49579375086490.136.116.5116586.86847129416.7165.2173.2416.5158.6445.4166.1139.394.915863333322820666674564800000804840000010334333333867493049.844516.72936111.9251511273853103903.1126187.4896449.814.2177536121.0062393689198638.863318.5911.539.960.830.4631.67036722.878939129.43681111.5674524.9613.171.450.520.5298380.3821590.44156721.01019.8340.112111479590000159485000060090600083815900087.15953940.075127.04244147633331.448108474.29938201124.23103859160.8992.1467663.05332644206.680.4043741355.8543554.4518773.1121722.65222687.11507823.13238644.03263182.488041.38202432.6982256.8914.676109.78435.80212.43166260.620.52173823.440.3641.741142.2441.211157.0421859.0210858.904.4112490.178084.615.939661.334.961037.2846.2388708.898935.0103870.4762410.3418060.93870771.325157.879135.25733.33718.22998.28419.9397.49395.41415.707255.69541.44248.72633958908891332056107.83779.67.5017.6610.5423.4873.393.3615.673210.0365202.5848232.4008212.17163.703.691.7751.707164.144150380431613451081721635660395971921523.0130.7971.5720801393601.3614122.115113.69989232.749573104974745.671.254.116.876.57582092986289.536.216.6117584.26846790414.8166.3173.1415.0158.1444.8166.7138.894.416376666722815000004551866667910703333312204333333830073030.651406.63369633.3284499818607111088.8137480.4910333.643.7388413564.0780893970465397.982918.5611.5210.210.830.4524.8312.781.460.520.4887210.3511820.386561OpenBenchmarking.org

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 22.1Input: Carbon NanotubeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power918273645SE +/- 0.18, N = 3SE +/- 0.26, N = 13SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.35, N = 3SE +/- 0.35, N = 4SE +/- 0.19, N = 3SE +/- 0.04, N = 340.2939.2224.6523.5035.8332.5523.1521.011. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power816243240Min: 40.03 / Avg: 40.29 / Max: 40.63Min: 38.61 / Avg: 39.22 / Max: 42.27Min: 24.39 / Avg: 24.65 / Max: 25.08Min: 23.47 / Avg: 23.5 / Max: 23.54Min: 35.3 / Avg: 35.83 / Max: 36.5Min: 32.07 / Avg: 32.55 / Max: 33.6Min: 22.94 / Avg: 23.15 / Max: 23.53Min: 20.94 / Avg: 21.01 / Max: 21.091. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

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 2022.1Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025SE +/- 0.011, N = 3SE +/- 0.020, N = 3SE +/- 0.058, N = 3SE +/- 0.022, N = 3SE +/- 0.012, N = 3SE +/- 0.010, N = 3SE +/- 0.011, N = 3SE +/- 1.013, N = 129.64110.34517.10418.38211.14712.95618.68619.8341. (CXX) g++ options: -O3
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025Min: 9.63 / Avg: 9.64 / Max: 9.66Min: 10.31 / Avg: 10.35 / Max: 10.37Min: 17.01 / Avg: 17.1 / Max: 17.21Min: 18.34 / Avg: 18.38 / Max: 18.41Min: 11.12 / Avg: 11.15 / Max: 11.17Min: 12.94 / Avg: 12.96 / Max: 12.97Min: 18.67 / Avg: 18.69 / Max: 18.71Min: 8.76 / Avg: 19.83 / Max: 21.051. (CXX) g++ options: -O3

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.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.06320.12640.18960.25280.316SE +/- 0.00012, N = 4SE +/- 0.00035, N = 4SE +/- 0.00088, N = 3SE +/- 0.00089, N = 5SE +/- 0.00061, N = 3SE +/- 0.00029, N = 4SE +/- 0.00008, N = 3SE +/- 0.00027, N = 30.281010.262070.172140.155640.247980.221570.127970.11211
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power12345Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.15 / Avg: 0.16 / Max: 0.16Min: 0.25 / Avg: 0.25 / Max: 0.25Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.11 / Avg: 0.11 / Max: 0.11

Graph500

This is a benchmark of the reference implementation of Graph500, an HPC benchmark focused on data intensive loads and commonly tested on supercomputers for complex data problems. Graph500 primarily stresses the communication subsystem of the hardware under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbfs median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power300M600M900M1200M1500M79986900079739400011151800001238540000887314000863368000134254000014795900001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power300M600M900M1200M1500M82226500081707500011928700001297530000906613000881729000143757000015948500001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power130M260M390M520M650M3516070003549050004549260004881300004176480004127410005398620006009060001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power200M400M600M800M1000M4415220004440310006318190006707210005277510005229330007378890008381590001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100SE +/- 1.63, N = 12SE +/- 0.03, N = 3SE +/- 2.93, N = 10SE +/- 0.37, N = 3SE +/- 0.02, N = 3SE +/- 0.45, N = 3SE +/- 0.49, N = 3SE +/- 0.13, N = 342.8145.3083.6158.1745.2244.4886.0287.161. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100Min: 30.08 / Avg: 42.81 / Max: 45.28Min: 45.27 / Avg: 45.3 / Max: 45.36Min: 57.32 / Avg: 83.61 / Max: 87.66Min: 57.74 / Avg: 58.17 / Max: 58.9Min: 45.19 / Avg: 45.22 / Max: 45.25Min: 43.77 / Avg: 44.48 / Max: 45.31Min: 85.06 / Avg: 86.02 / Max: 86.65Min: 86.99 / Avg: 87.16 / Max: 87.411. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

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 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10K8834.718828.504329.904503.427676.337370.394070.113940.081. (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

RELION

RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power60120180240300SE +/- 2.72, N = 5SE +/- 2.75, N = 5SE +/- 0.15, N = 3SE +/- 1.24, N = 12SE +/- 2.71, N = 5SE +/- 2.38, N = 6SE +/- 0.19, N = 3SE +/- 1.23, N = 12256.41250.95131.60130.65247.09245.03127.52127.041. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lmpi_cxx -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50100150200250Min: 253.42 / Avg: 256.41 / Max: 267.28Min: 248.03 / Avg: 250.95 / Max: 261.97Min: 131.34 / Avg: 131.59 / Max: 131.86Min: 129.09 / Avg: 130.65 / Max: 144.26Min: 244.21 / Avg: 247.09 / Max: 257.93Min: 242.41 / Avg: 245.03 / Max: 256.91Min: 127.3 / Avg: 127.52 / Max: 127.9Min: 125.27 / Avg: 127.04 / Max: 140.51. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lmpi_cxx -lmpi

Algebraic Multi-Grid Benchmark

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

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power900M1800M2700M3600M4500MSE +/- 2222006.08, N = 3SE +/- 3446302.00, N = 3SE +/- 13428026.69, N = 3SE +/- 14635410.92, N = 3SE +/- 1264541.59, N = 3SE +/- 3283111.96, N = 3SE +/- 3661935.20, N = 3SE +/- 9793366.81, N = 3235338000023555056674258717333427953933323334303332341996333435830966744147633331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power800M1600M2400M3200M4000MMin: 2348944000 / Avg: 2353380000 / Max: 2355829000Min: 2349661000 / Avg: 2355505666.67 / Max: 2361592000Min: 4232661000 / Avg: 4258717333.33 / Max: 4277379000Min: 4250591000 / Avg: 4279539333.33 / Max: 4297766000Min: 2331796000 / Avg: 2333430333.33 / Max: 2335919000Min: 2337896000 / Avg: 2341996333.33 / Max: 2348488000Min: 4351993000 / Avg: 4358309666.67 / Max: 4364678000Min: 4404357000 / Avg: 4414763333.33 / Max: 44343370001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

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 129 Cells Per DirectionEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.5731.1461.7192.2922.865SE +/- 0.01662956, N = 9SE +/- 0.01464622, N = 9SE +/- 0.01020043, N = 10SE +/- 0.01173139, N = 15SE +/- 0.02850743, N = 15SE +/- 0.01859828, N = 9SE +/- 0.01070461, N = 10SE +/- 0.01039810, N = 152.546472792.481463911.498298301.515555212.289035302.241371101.481720701.448108471. (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
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 2.46 / Avg: 2.55 / Max: 2.6Min: 2.43 / Avg: 2.48 / Max: 2.56Min: 1.46 / Avg: 1.5 / Max: 1.55Min: 1.44 / Avg: 1.52 / Max: 1.6Min: 2.06 / Avg: 2.29 / Max: 2.41Min: 2.16 / Avg: 2.24 / Max: 2.34Min: 1.42 / Avg: 1.48 / Max: 1.55Min: 1.36 / Avg: 1.45 / Max: 1.531. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215SE +/- 0.04408610, N = 5SE +/- 0.02649159, N = 5SE +/- 0.03372817, N = 7SE +/- 0.02752118, N = 7SE +/- 0.05206844, N = 5SE +/- 0.02766243, N = 5SE +/- 0.01966452, N = 7SE +/- 0.01984368, N = 79.569052899.598820884.966962074.956604758.226202778.077799804.362892974.299382011. (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
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 9.47 / Avg: 9.57 / Max: 9.7Min: 9.55 / Avg: 9.6 / Max: 9.67Min: 4.84 / Avg: 4.97 / Max: 5.12Min: 4.88 / Avg: 4.96 / Max: 5.04Min: 8.09 / Avg: 8.23 / Max: 8.38Min: 8.02 / Avg: 8.08 / Max: 8.17Min: 4.28 / Avg: 4.36 / Max: 4.44Min: 4.21 / Avg: 4.3 / Max: 4.381. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power60120180240300SE +/- 0.14, N = 3SE +/- 0.71, N = 3SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.87, N = 3SE +/- 0.89, N = 3SE +/- 0.17, N = 3SE +/- 0.23, N = 3268.58268.65134.33133.96254.85253.41125.39124.231. (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
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50100150200250Min: 268.42 / Avg: 268.58 / Max: 268.86Min: 267.87 / Avg: 268.65 / Max: 270.06Min: 134.15 / Avg: 134.33 / Max: 134.69Min: 133.73 / Avg: 133.96 / Max: 134.22Min: 253.9 / Avg: 254.85 / Max: 256.59Min: 252.23 / Avg: 253.41 / Max: 255.15Min: 125.2 / Avg: 125.39 / Max: 125.73Min: 123.79 / Avg: 124.23 / Max: 124.61. (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

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power13K26K39K52K65KSE +/- 124.44, N = 4SE +/- 122.69, N = 4SE +/- 124.43, N = 4SE +/- 99.91, N = 4SE +/- 142.06, N = 4SE +/- 141.39, N = 4SE +/- 186.02, N = 4SE +/- 227.17, N = 430166.9230428.0959398.7960173.8729508.5930521.1258017.0759160.901. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power10K20K30K40K50KMin: 29909.37 / Avg: 30166.92 / Max: 30498.81Min: 30193.88 / Avg: 30428.09 / Max: 30653.55Min: 59232.68 / Avg: 59398.79 / Max: 59762.39Min: 59952.81 / Avg: 60173.87 / Max: 60413.95Min: 29219.49 / Avg: 29508.59 / Max: 29898.49Min: 30307.64 / Avg: 30521.12 / Max: 30927.36Min: 57522.45 / Avg: 58017.07 / Max: 58368.87Min: 58660.95 / Avg: 59160.9 / Max: 59712.291. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.90531.81062.71593.62124.5265SE +/- 0.084956, N = 15SE +/- 0.056585, N = 15SE +/- 0.062550, N = 15SE +/- 0.045794, N = 15SE +/- 0.088305, N = 15SE +/- 0.122551, N = 15SE +/- 0.050393, N = 15SE +/- 0.042439, N = 154.0234703.9191482.3743822.3756193.7630213.3825162.4222642.1467661. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 3.67 / Avg: 4.02 / Max: 4.67Min: 3.63 / Avg: 3.92 / Max: 4.42Min: 2.06 / Avg: 2.37 / Max: 2.97Min: 2.13 / Avg: 2.38 / Max: 2.71Min: 3.3 / Avg: 3.76 / Max: 4.49Min: 2.72 / Avg: 3.38 / Max: 4.32Min: 2.11 / Avg: 2.42 / Max: 2.62Min: 1.68 / Avg: 2.15 / Max: 2.251. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810SE +/- 0.064993, N = 6SE +/- 0.036194, N = 6SE +/- 0.066125, N = 12SE +/- 0.057833, N = 15SE +/- 0.049036, N = 15SE +/- 0.084204, N = 15SE +/- 0.044883, N = 15SE +/- 0.035923, N = 157.0655426.9364303.8320933.8169295.8462305.2112323.5126033.0533261. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 6.9 / Avg: 7.07 / Max: 7.3Min: 6.86 / Avg: 6.94 / Max: 7.1Min: 3.61 / Avg: 3.83 / Max: 4.42Min: 3.51 / Avg: 3.82 / Max: 4.35Min: 5.63 / Avg: 5.85 / Max: 6.22Min: 4.82 / Avg: 5.21 / Max: 5.97Min: 3.32 / Avg: 3.51 / Max: 3.9Min: 2.85 / Avg: 3.05 / Max: 3.381. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power11K22K33K44K55KSE +/- 36.96, N = 5SE +/- 35.08, N = 5SE +/- 462.72, N = 15SE +/- 352.42, N = 5SE +/- 52.45, N = 5SE +/- 108.17, N = 5SE +/- 841.99, N = 15SE +/- 1266.85, N = 1551154.551282.343574.242074.251313.051284.745319.344206.61. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power9K18K27K36K45KMin: 51054.8 / Avg: 51154.46 / Max: 51280.9Min: 51209.3 / Avg: 51282.28 / Max: 51404.3Min: 40240.1 / Avg: 43574.2 / Max: 46551.5Min: 41607.6 / Avg: 42074.24 / Max: 43478.4Min: 51215.5 / Avg: 51312.96 / Max: 51486.4Min: 50975.2 / Avg: 51284.7 / Max: 51550.8Min: 41157.2 / Avg: 45319.27 / Max: 50370.5Min: 33101.3 / Avg: 44206.63 / Max: 50766.11. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi

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 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100SE +/- 0.26, N = 6SE +/- 0.25, N = 6SE +/- 0.04, N = 8SE +/- 0.06, N = 8SE +/- 0.28, N = 7SE +/- 0.17, N = 7SE +/- 0.07, N = 9SE +/- 0.08, N = 930.0330.1354.6754.5739.1543.9570.4880.401. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1530456075Min: 28.82 / Avg: 30.03 / Max: 30.64Min: 29.27 / Avg: 30.13 / Max: 30.98Min: 54.49 / Avg: 54.67 / Max: 54.76Min: 54.4 / Avg: 54.57 / Max: 54.9Min: 38.42 / Avg: 39.15 / Max: 40.38Min: 43.11 / Avg: 43.95 / Max: 44.42Min: 70.04 / Avg: 70.48 / Max: 70.76Min: 80.08 / Avg: 80.4 / Max: 80.781. (CC) gcc options: -O3 -march=native -fopenmp

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 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power300600900120015001456.11441.51341.81309.81550.01391.01534.01355.81. (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

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: BT.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power120K240K360K480K600KSE +/- 455.33, N = 4SE +/- 649.68, N = 4SE +/- 3154.34, N = 6SE +/- 4145.25, N = 6SE +/- 1212.90, N = 4SE +/- 1011.25, N = 5SE +/- 2523.78, N = 6SE +/- 3150.15, N = 6235197.75237735.42463499.49462177.87267319.17274024.34500990.52543554.451. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power90K180K270K360K450KMin: 234408.97 / Avg: 235197.75 / Max: 236099.24Min: 236608 / Avg: 237735.42 / Max: 239535.63Min: 451441.5 / Avg: 463499.49 / Max: 474719.49Min: 444984.62 / Avg: 462177.87 / Max: 472625.12Min: 265028.07 / Avg: 267319.17 / Max: 269568.84Min: 271732.99 / Avg: 274024.34 / Max: 277051.61Min: 493376.3 / Avg: 500990.52 / Max: 510934.82Min: 533482.61 / Avg: 543554.45 / Max: 553168.851. (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 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4K8K12K16K20KSE +/- 131.05, N = 15SE +/- 140.16, N = 15SE +/- 108.53, N = 15SE +/- 23.76, N = 12SE +/- 86.35, N = 15SE +/- 39.65, N = 15SE +/- 112.63, N = 12SE +/- 97.05, N = 157198.906940.4012851.1612962.478633.629551.9416424.6118773.111. (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 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3K6K9K12K15KMin: 6450.89 / Avg: 7198.9 / Max: 7973.2Min: 6441.7 / Avg: 6940.4 / Max: 7966.93Min: 11720.55 / Avg: 12851.16 / Max: 13129.33Min: 12854.11 / Avg: 12962.47 / Max: 13102.96Min: 8304.72 / Avg: 8633.62 / Max: 9447.61Min: 9431.7 / Avg: 9551.94 / Max: 10049.27Min: 15551.37 / Avg: 16424.61 / Max: 16762.97Min: 17448.4 / Avg: 18773.11 / Max: 19009.891. (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 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power5K10K15K20K25KSE +/- 165.09, N = 15SE +/- 21.62, N = 4SE +/- 571.15, N = 12SE +/- 406.67, N = 15SE +/- 56.69, N = 4SE +/- 324.02, N = 12SE +/- 249.56, N = 15SE +/- 666.94, N = 128634.108887.5716197.0516347.8911335.9412299.7920121.2321722.651. (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 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4K8K12K16K20KMin: 6457.96 / Avg: 8634.1 / Max: 8926.65Min: 8827.21 / Avg: 8887.57 / Max: 8923Min: 12025.67 / Avg: 16197.05 / Max: 17807.02Min: 12443.09 / Avg: 16347.89 / Max: 17750.34Min: 11191.13 / Avg: 11335.94 / Max: 11451.46Min: 9875.02 / Avg: 12299.79 / Max: 13116.29Min: 18586.63 / Avg: 20121.23 / Max: 22325.57Min: 17954.64 / Avg: 21722.65 / Max: 25144.841. (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 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50K100K150K200K250KSE +/- 704.40, N = 8SE +/- 565.95, N = 8SE +/- 1508.85, N = 10SE +/- 1649.35, N = 12SE +/- 377.17, N = 8SE +/- 986.09, N = 10SE +/- 1534.56, N = 9SE +/- 2780.73, N = 15124561.13127498.51234088.25234367.13121799.77125326.19215057.58222687.111. (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 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power40K80K120K160K200KMin: 121421.59 / Avg: 124561.13 / Max: 126802.64Min: 125182.18 / Avg: 127498.51 / Max: 129865.62Min: 222873.75 / Avg: 234088.25 / Max: 239534.97Min: 227611.1 / Avg: 234367.13 / Max: 246966.17Min: 120576.25 / Avg: 121799.77 / Max: 123852.21Min: 119306.83 / Avg: 125326.19 / Max: 129242.95Min: 209975.2 / Avg: 215057.58 / Max: 225878.46Min: 199279.84 / Avg: 222687.11 / Max: 237740.521. (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 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power110K220K330K440K550KSE +/- 702.52, N = 5SE +/- 1412.50, N = 5SE +/- 3622.62, N = 7SE +/- 3515.49, N = 7SE +/- 1225.90, N = 6SE +/- 741.37, N = 6SE +/- 3747.09, N = 7SE +/- 4645.52, N = 7254430.04253395.11471697.13473377.17274263.37272077.94490393.91507823.131. (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 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power90K180K270K360K450KMin: 252695.37 / Avg: 254430.04 / Max: 256269.6Min: 248257.77 / Avg: 253395.11 / Max: 255823.7Min: 457960.59 / Avg: 471697.13 / Max: 485078.19Min: 458457.42 / Avg: 473377.17 / Max: 485079.54Min: 271175.46 / Avg: 274263.37 / Max: 279773.24Min: 269039.53 / Avg: 272077.94 / Max: 274139.5Min: 472502.32 / Avg: 490393.91 / Max: 501177.83Min: 491046.66 / Avg: 507823.13 / Max: 529808.261. (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 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50K100K150K200K250KSE +/- 1837.39, N = 15SE +/- 2022.23, N = 15SE +/- 3991.38, N = 15SE +/- 3716.81, N = 15SE +/- 1433.38, N = 15SE +/- 2245.97, N = 15SE +/- 1703.57, N = 15SE +/- 2791.46, N = 15164817.94167629.48222846.94214561.41162758.97168014.13219454.01238644.031. (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 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power40K80K120K160K200KMin: 147343.22 / Avg: 164817.94 / Max: 175088.74Min: 155099.91 / Avg: 167629.48 / Max: 178196.4Min: 198785.65 / Avg: 222846.94 / Max: 244849.44Min: 197855.34 / Avg: 214561.41 / Max: 238551.1Min: 153244.43 / Avg: 162758.97 / Max: 170206.52Min: 154651.9 / Avg: 168014.13 / Max: 179048.24Min: 210355.53 / Avg: 219454.01 / Max: 233725.92Min: 224149.53 / Avg: 238644.03 / Max: 254369.771. (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 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power60K120K180K240K300KSE +/- 341.83, N = 4SE +/- 114.35, N = 4SE +/- 525.61, N = 6SE +/- 1312.27, N = 6SE +/- 300.99, N = 4SE +/- 276.27, N = 4SE +/- 951.51, N = 6SE +/- 1129.41, N = 6119972.76120312.32241831.07239623.83125438.45126790.36257843.16263182.481. (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 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50K100K150K200K250KMin: 119029 / Avg: 119972.76 / Max: 120633.57Min: 120038.45 / Avg: 120312.32 / Max: 120530.97Min: 240679.66 / Avg: 241831.07 / Max: 243970.24Min: 234160.72 / Avg: 239623.83 / Max: 243449.66Min: 124952.09 / Avg: 125438.45 / Max: 126276.89Min: 126092.46 / Avg: 126790.36 / Max: 127439.41Min: 254333.01 / Avg: 257843.16 / Max: 260807.61Min: 259352.16 / Avg: 263182.48 / Max: 266589.361. (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 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KSE +/- 13.30, N = 5SE +/- 8.06, N = 5SE +/- 127.97, N = 15SE +/- 146.90, N = 15SE +/- 24.99, N = 5SE +/- 18.47, N = 5SE +/- 138.87, N = 15SE +/- 190.79, N = 154878.234895.847690.078001.124888.524941.757694.938041.381. (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 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power14002800420056007000Min: 4828.71 / Avg: 4878.23 / Max: 4900.26Min: 4875.6 / Avg: 4895.84 / Max: 4917.93Min: 6838.28 / Avg: 7690.07 / Max: 8479.62Min: 7234.06 / Avg: 8001.12 / Max: 8981.49Min: 4834.4 / Avg: 4888.52 / Max: 4960.51Min: 4895.9 / Avg: 4941.75 / Max: 4996.59Min: 7196.96 / Avg: 7694.93 / Max: 8670.13Min: 7104.22 / Avg: 8041.38 / Max: 9493.261. (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 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50K100K150K200K250KSE +/- 1359.91, N = 15SE +/- 1333.51, N = 15SE +/- 990.19, N = 12SE +/- 1222.97, N = 12SE +/- 764.03, N = 15SE +/- 1317.18, N = 15SE +/- 1834.92, N = 15SE +/- 2783.28, N = 15125660.14128432.87233220.37232995.13120349.96121727.31197332.18202432.691. (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 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power40K80K120K160K200KMin: 119606.09 / Avg: 125660.14 / Max: 136119.4Min: 120209.2 / Avg: 128432.87 / Max: 135541.83Min: 228934.33 / Avg: 233220.37 / Max: 241620.44Min: 227070.36 / Avg: 232995.13 / Max: 241828.65Min: 114792.34 / Avg: 120349.96 / Max: 126702.63Min: 111490.34 / Avg: 121727.31 / Max: 131563.52Min: 183412.3 / Avg: 197332.18 / Max: 209401.03Min: 190499.39 / Avg: 202432.69 / Max: 228470.161. (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 4.1.4

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20K40K60K80K100KSE +/- 289.00, N = 8SE +/- 342.99, N = 8SE +/- 964.25, N = 15SE +/- 735.83, N = 15SE +/- 546.79, N = 15SE +/- 691.56, N = 15SE +/- 1179.69, N = 15SE +/- 875.77, N = 1545631.3446439.6082493.4081468.9554251.0255458.3979107.0882256.891. (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 4.1.4
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power14K28K42K56K70KMin: 44457.66 / Avg: 45631.34 / Max: 47009.76Min: 44841.81 / Avg: 46439.6 / Max: 47857.7Min: 76429.14 / Avg: 82493.4 / Max: 87689.83Min: 76943.28 / Avg: 81468.95 / Max: 86375.38Min: 49931.83 / Avg: 54251.02 / Max: 57549.97Min: 50366.13 / Avg: 55458.39 / Max: 60141.66Min: 72860.69 / Avg: 79107.08 / Max: 87207.29Min: 75902.81 / Avg: 82256.89 / Max: 87774.981. (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 4.1.4

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power816243240SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 4SE +/- 0.03, N = 432.5529.7818.7217.0928.6124.4916.6314.681. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power714212835Min: 32.51 / Avg: 32.55 / Max: 32.58Min: 29.72 / Avg: 29.78 / Max: 29.82Min: 18.68 / Avg: 18.72 / Max: 18.74Min: 17.02 / Avg: 17.09 / Max: 17.19Min: 28.54 / Avg: 28.61 / Max: 28.71Min: 24.41 / Avg: 24.49 / Max: 24.6Min: 16.53 / Avg: 16.62 / Max: 16.71Min: 14.63 / Avg: 14.68 / Max: 14.771. (CXX) g++ options: -O2 -lOpenCL

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 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.25, N = 341.6342.8782.0183.2650.0653.51102.38109.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100Min: 41.6 / Avg: 41.63 / Max: 41.66Min: 42.83 / Avg: 42.87 / Max: 42.9Min: 81.84 / Avg: 82.01 / Max: 82.16Min: 83.13 / Avg: 83.26 / Max: 83.35Min: 50.04 / Avg: 50.06 / Max: 50.08Min: 53.47 / Avg: 53.51 / Max: 53.53Min: 102.33 / Avg: 102.38 / Max: 102.47Min: 109.33 / Avg: 109.78 / Max: 110.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2004006008001000SE +/- 0.18, N = 3SE +/- 0.26, N = 3SE +/- 0.37, N = 3SE +/- 0.12, N = 3SE +/- 0.29, N = 3SE +/- 0.45, N = 3SE +/- 0.05, N = 3SE +/- 1.05, N = 3766.80744.44389.27383.87955.51890.80468.17435.80MIN: 733.6 / MAX: 808.13MIN: 725.13 / MAX: 781.63MIN: 380.46 / MAX: 438.65MIN: 378.71 / MAX: 495.86MIN: 860.92 / MAX: 1016.52MIN: 402.28 / MAX: 953.71MIN: 444.06 / MAX: 551.42MIN: 388.31 / MAX: 645.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2004006008001000Min: 766.44 / Avg: 766.8 / Max: 767Min: 743.93 / Avg: 744.44 / Max: 744.72Min: 388.66 / Avg: 389.27 / Max: 389.95Min: 383.68 / Avg: 383.87 / Max: 384.08Min: 955.09 / Avg: 955.51 / Max: 956.06Min: 890.09 / Avg: 890.8 / Max: 891.62Min: 468.11 / Avg: 468.17 / Max: 468.26Min: 434.44 / Avg: 435.8 / Max: 437.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50100150200250SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 380.6283.27156.27158.2996.87103.49194.03212.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200Min: 80.48 / Avg: 80.62 / Max: 80.73Min: 83.1 / Avg: 83.27 / Max: 83.36Min: 156.03 / Avg: 156.27 / Max: 156.55Min: 158.24 / Avg: 158.29 / Max: 158.37Min: 96.74 / Avg: 96.87 / Max: 96.97Min: 103.34 / Avg: 103.49 / Max: 103.68Min: 193.79 / Avg: 194.03 / Max: 194.18Min: 212.29 / Avg: 212.43 / Max: 212.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power40K80K120K160K200KSE +/- 69.14, N = 3SE +/- 52.00, N = 3SE +/- 1226.28, N = 3SE +/- 1059.23, N = 3SE +/- 105.34, N = 3SE +/- 7.87, N = 3SE +/- 625.00, N = 3SE +/- 462.02, N = 397379.5699729.06161378.10161750.11112325.82118385.58144811.67166260.621. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30K60K90K120K150KMin: 97247.58 / Avg: 97379.56 / Max: 97481.28Min: 99674.93 / Avg: 99729.06 / Max: 99833.03Min: 158960.14 / Avg: 161378.1 / Max: 162942.58Min: 160490.05 / Avg: 161750.11 / Max: 163854.95Min: 112115.64 / Avg: 112325.82 / Max: 112443.38Min: 118371.42 / Avg: 118385.58 / Max: 118398.6Min: 143768.01 / Avg: 144811.67 / Max: 145929.28Min: 165479.5 / Avg: 166260.62 / Max: 167078.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.14630.29260.43890.58520.7315SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.520.510.510.510.650.620.540.52MIN: 0.29 / MAX: 11.88MIN: 0.29 / MAX: 16.07MIN: 0.49 / MAX: 36.76MIN: 0.49 / MAX: 33.4MIN: 0.29 / MAX: 13.1MIN: 0.29 / MAX: 13.83MIN: 0.5 / MAX: 35MIN: 0.5 / MAX: 33.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.61 / Avg: 0.62 / Max: 0.62Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.52 / Avg: 0.52 / Max: 0.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power40K80K120K160K200KSE +/- 119.74, N = 3SE +/- 114.30, N = 3SE +/- 2309.74, N = 3SE +/- 1524.49, N = 7SE +/- 169.28, N = 3SE +/- 151.20, N = 3SE +/- 734.15, N = 3SE +/- 731.54, N = 3132051.79133585.43175383.10171196.42149560.47159812.84166269.03173823.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30K60K90K120K150KMin: 131817 / Avg: 132051.79 / Max: 132210.03Min: 133406.13 / Avg: 133585.43 / Max: 133797.88Min: 172498.92 / Avg: 175383.1 / Max: 179950.23Min: 166566.79 / Avg: 171196.42 / Max: 175720.49Min: 149373.29 / Avg: 149560.47 / Max: 149898.38Min: 159642.62 / Avg: 159812.84 / Max: 160114.41Min: 164903.22 / Avg: 166269.03 / Max: 167418.66Min: 173062.51 / Avg: 173823.44 / Max: 175286.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.10130.20260.30390.40520.5065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 7SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.370.360.350.350.450.430.360.36MIN: 0.21 / MAX: 11.31MIN: 0.21 / MAX: 11.48MIN: 0.33 / MAX: 35.74MIN: 0.33 / MAX: 41.56MIN: 0.21 / MAX: 22.82MIN: 0.21 / MAX: 23.04MIN: 0.34 / MAX: 35.18MIN: 0.34 / MAX: 36.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power12345Min: 0.36 / Avg: 0.37 / Max: 0.37Min: 0.36 / Avg: 0.36 / Max: 0.36Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.42 / Avg: 0.43 / Max: 0.43Min: 0.36 / Avg: 0.36 / Max: 0.36Min: 0.35 / Avg: 0.36 / Max: 0.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1020304050SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.43, N = 4SE +/- 0.19, N = 323.0723.9036.2237.1627.7429.7438.0441.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power918273645Min: 22.96 / Avg: 23.07 / Max: 23.16Min: 23.75 / Avg: 23.9 / Max: 24.02Min: 35.92 / Avg: 36.22 / Max: 36.42Min: 37.06 / Avg: 37.16 / Max: 37.35Min: 27.69 / Avg: 27.74 / Max: 27.8Min: 29.56 / Avg: 29.74 / Max: 29.84Min: 37.28 / Avg: 38.04 / Max: 39.26Min: 41.4 / Avg: 41.74 / Max: 42.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power400800120016002000SE +/- 2.15, N = 3SE +/- 3.90, N = 3SE +/- 3.73, N = 3SE +/- 1.97, N = 3SE +/- 2.17, N = 3SE +/- 4.15, N = 3SE +/- 13.83, N = 4SE +/- 5.11, N = 31373.831326.74878.55855.641714.981597.311253.981142.24MIN: 791.41 / MAX: 1751.97MIN: 804.84 / MAX: 1734.93MIN: 733.22 / MAX: 1404.78MIN: 729.63 / MAX: 1337.47MIN: 907.6 / MAX: 2357.53MIN: 894.43 / MAX: 2234.51MIN: 831.98 / MAX: 2009.27MIN: 789.57 / MAX: 1952.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30060090012001500Min: 1370.69 / Avg: 1373.83 / Max: 1377.95Min: 1320.87 / Avg: 1326.74 / Max: 1334.11Min: 874.35 / Avg: 878.55 / Max: 885.98Min: 851.73 / Avg: 855.64 / Max: 858Min: 1710.64 / Avg: 1714.98 / Max: 1717.34Min: 1592.31 / Avg: 1597.31 / Max: 1605.54Min: 1214.86 / Avg: 1253.98 / Max: 1279.8Min: 1133.53 / Avg: 1142.24 / Max: 1151.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power918273645SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.36, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.22, N = 323.1223.8435.9737.6027.5529.6837.9541.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power918273645Min: 22.93 / Avg: 23.12 / Max: 23.28Min: 23.77 / Avg: 23.84 / Max: 23.92Min: 35.65 / Avg: 35.97 / Max: 36.13Min: 36.97 / Avg: 37.6 / Max: 38.23Min: 27.36 / Avg: 27.55 / Max: 27.88Min: 29.52 / Avg: 29.68 / Max: 29.9Min: 37.69 / Avg: 37.95 / Max: 38.35Min: 40.97 / Avg: 41.21 / Max: 41.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power400800120016002000SE +/- 5.54, N = 3SE +/- 2.35, N = 3SE +/- 4.19, N = 3SE +/- 8.23, N = 3SE +/- 9.11, N = 3SE +/- 6.56, N = 3SE +/- 7.07, N = 3SE +/- 6.16, N = 31372.741330.39884.80846.311722.481598.261256.411157.04MIN: 798.93 / MAX: 1782.56MIN: 812.98 / MAX: 1776.36MIN: 740.55 / MAX: 1368.43MIN: 740.16 / MAX: 1340.88MIN: 844.57 / MAX: 2377.74MIN: 887.99 / MAX: 2186.68MIN: 839.37 / MAX: 1915.41MIN: 791.76 / MAX: 1935.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30060090012001500Min: 1364.66 / Avg: 1372.74 / Max: 1383.34Min: 1326.75 / Avg: 1330.39 / Max: 1334.79Min: 880.2 / Avg: 884.8 / Max: 893.16Min: 832.03 / Avg: 846.31 / Max: 860.55Min: 1704.27 / Avg: 1722.48 / Max: 1732.13Min: 1585.28 / Avg: 1598.26 / Max: 1606.33Min: 1242.56 / Avg: 1256.41 / Max: 1265.79Min: 1144.74 / Avg: 1157.04 / Max: 1163.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power5K10K15K20K25KSE +/- 3.17, N = 3SE +/- 2.84, N = 3SE +/- 13.90, N = 3SE +/- 13.29, N = 3SE +/- 2.62, N = 3SE +/- 2.97, N = 3SE +/- 46.02, N = 3SE +/- 17.72, N = 38228.708512.5816203.4116421.679842.9310601.8319812.0921859.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4K8K12K16K20KMin: 8222.81 / Avg: 8228.7 / Max: 8233.66Min: 8508.49 / Avg: 8512.58 / Max: 8518.05Min: 16177.98 / Avg: 16203.41 / Max: 16225.83Min: 16397.26 / Avg: 16421.67 / Max: 16442.98Min: 9838.31 / Avg: 9842.93 / Max: 9847.37Min: 10595.89 / Avg: 10601.83 / Max: 10605.1Min: 19757.3 / Avg: 19812.09 / Max: 19903.53Min: 21823.81 / Avg: 21859.02 / Max: 21880.11. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KSE +/- 2.02, N = 3SE +/- 1.00, N = 3SE +/- 4.40, N = 3SE +/- 0.65, N = 3SE +/- 0.56, N = 3SE +/- 2.77, N = 3SE +/- 5.49, N = 3SE +/- 7.19, N = 34165.024279.788090.588198.285004.255329.579979.6610858.901. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KMin: 4162.93 / Avg: 4165.02 / Max: 4169.05Min: 4277.9 / Avg: 4279.78 / Max: 4281.32Min: 8083.99 / Avg: 8090.58 / Max: 8098.92Min: 8196.99 / Avg: 8198.28 / Max: 8198.95Min: 5003.68 / Avg: 5004.25 / Max: 5005.36Min: 5325.59 / Avg: 5329.57 / Max: 5334.89Min: 9970.73 / Avg: 9979.66 / Max: 9989.66Min: 10846.86 / Avg: 10858.9 / Max: 10871.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.677.473.943.899.589.004.794.41MIN: 4.04 / MAX: 17.18MIN: 3.99 / MAX: 16.65MIN: 3.84 / MAX: 19.45MIN: 3.83 / MAX: 18.26MIN: 4.88 / MAX: 27.41MIN: 4.72 / MAX: 28.15MIN: 3.96 / MAX: 28.62MIN: 3.97 / MAX: 28.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 7.66 / Avg: 7.67 / Max: 7.68Min: 7.46 / Avg: 7.47 / Max: 7.47Min: 3.93 / Avg: 3.94 / Max: 3.94Min: 3.89 / Avg: 3.89 / Max: 3.89Min: 9.58 / Avg: 9.58 / Max: 9.58Min: 8.99 / Avg: 9 / Max: 9Min: 4.79 / Avg: 4.79 / Max: 4.8Min: 4.4 / Avg: 4.41 / Max: 4.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3K6K9K12K15KSE +/- 9.84, N = 3SE +/- 16.12, N = 3SE +/- 3.55, N = 3SE +/- 11.42, N = 3SE +/- 5.49, N = 3SE +/- 7.76, N = 3SE +/- 5.13, N = 3SE +/- 3.81, N = 34978.425429.949148.559215.526003.736582.2811178.6512490.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KMin: 4962.86 / Avg: 4978.42 / Max: 4996.64Min: 5397.74 / Avg: 5429.94 / Max: 5447.34Min: 9143.74 / Avg: 9148.55 / Max: 9155.48Min: 9201.91 / Avg: 9215.52 / Max: 9238.22Min: 5993.25 / Avg: 6003.73 / Max: 6011.83Min: 6573.83 / Avg: 6582.28 / Max: 6597.78Min: 11169.43 / Avg: 11178.65 / Max: 11187.15Min: 12485.35 / Avg: 12490.17 / Max: 12497.681. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KSE +/- 3.40, N = 3SE +/- 13.95, N = 3SE +/- 1.39, N = 3SE +/- 4.40, N = 3SE +/- 10.61, N = 3SE +/- 5.11, N = 3SE +/- 1.33, N = 3SE +/- 7.95, N = 32847.392880.486063.846310.013426.693414.627435.728084.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power14002800420056007000Min: 2843.24 / Avg: 2847.39 / Max: 2854.12Min: 2858.3 / Avg: 2880.48 / Max: 2906.22Min: 6061.57 / Avg: 6063.84 / Max: 6066.37Min: 6301.28 / Avg: 6310.01 / Max: 6315.29Min: 3406.32 / Avg: 3426.69 / Max: 3442.03Min: 3404.68 / Avg: 3414.62 / Max: 3421.64Min: 7433.77 / Avg: 7435.72 / Max: 7438.26Min: 8072.6 / Avg: 8084.61 / Max: 8099.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power48121620SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.2311.105.275.0613.9914.046.445.93MIN: 5.39 / MAX: 32.07MIN: 5.35 / MAX: 31.25MIN: 4.87 / MAX: 42.26MIN: 4.86 / MAX: 45.19MIN: 7.45 / MAX: 49.42MIN: 5.88 / MAX: 52.59MIN: 5.01 / MAX: 65.87MIN: 4.9 / MAX: 68.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power48121620Min: 11.2 / Avg: 11.23 / Max: 11.24Min: 11 / Avg: 11.1 / Max: 11.18Min: 5.27 / Avg: 5.27 / Max: 5.27Min: 5.06 / Avg: 5.06 / Max: 5.07Min: 13.93 / Avg: 13.99 / Max: 14.08Min: 14.02 / Avg: 14.04 / Max: 14.08Min: 6.44 / Avg: 6.44 / Max: 6.44Min: 5.92 / Avg: 5.93 / Max: 5.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KSE +/- 2.56, N = 3SE +/- 12.97, N = 3SE +/- 6.11, N = 3SE +/- 5.54, N = 3SE +/- 5.10, N = 3SE +/- 8.43, N = 3SE +/- 3.74, N = 3SE +/- 0.76, N = 34762.614936.157395.027429.475763.316138.929010.789661.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KMin: 4757.69 / Avg: 4762.61 / Max: 4766.31Min: 4912.48 / Avg: 4936.15 / Max: 4957.16Min: 7384.74 / Avg: 7395.02 / Max: 7405.87Min: 7418.81 / Avg: 7429.47 / Max: 7437.4Min: 5754.58 / Avg: 5763.31 / Max: 5772.24Min: 6122.18 / Avg: 6138.92 / Max: 6149Min: 9005.57 / Avg: 9010.78 / Max: 9018.03Min: 9660.08 / Avg: 9661.33 / Max: 9662.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.716.484.324.308.327.815.324.96MIN: 4.88 / MAX: 19.92MIN: 4.94 / MAX: 22.59MIN: 4.15 / MAX: 27.82MIN: 4.12 / MAX: 26.75MIN: 5.2 / MAX: 32.51MIN: 5.63 / MAX: 33.46MIN: 4.36 / MAX: 47.85MIN: 4.34 / MAX: 48.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 6.7 / Avg: 6.71 / Max: 6.72Min: 6.45 / Avg: 6.48 / Max: 6.51Min: 4.31 / Avg: 4.32 / Max: 4.33Min: 4.29 / Avg: 4.3 / Max: 4.31Min: 8.3 / Avg: 8.32 / Max: 8.33Min: 7.8 / Avg: 7.81 / Max: 7.83Min: 5.31 / Avg: 5.32 / Max: 5.32Min: 4.96 / Avg: 4.96 / Max: 4.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2004006008001000SE +/- 0.82, N = 3SE +/- 0.27, N = 3SE +/- 0.64, N = 3SE +/- 1.35, N = 3SE +/- 0.51, N = 3SE +/- 0.50, N = 3SE +/- 0.69, N = 3SE +/- 1.17, N = 3449.76470.91792.53808.16547.98590.08973.451037.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2004006008001000Min: 448.44 / Avg: 449.76 / Max: 451.26Min: 470.63 / Avg: 470.91 / Max: 471.46Min: 791.72 / Avg: 792.53 / Max: 793.79Min: 805.47 / Avg: 808.16 / Max: 809.72Min: 547.17 / Avg: 547.98 / Max: 548.91Min: 589.55 / Avg: 590.08 / Max: 591.09Min: 972.7 / Avg: 973.45 / Max: 974.83Min: 1035.19 / Avg: 1037.28 / Max: 1039.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 371.0867.8940.3439.5687.5281.2749.2646.23MIN: 37.67 / MAX: 102.95MIN: 36.87 / MAX: 104.26MIN: 34.61 / MAX: 149.47MIN: 33.71 / MAX: 139.72MIN: 46.08 / MAX: 141.07MIN: 42.17 / MAX: 141.55MIN: 38.21 / MAX: 191.1MIN: 35.94 / MAX: 256.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100Min: 70.87 / Avg: 71.08 / Max: 71.27Min: 67.83 / Avg: 67.89 / Max: 67.94Min: 40.27 / Avg: 40.34 / Max: 40.38Min: 39.48 / Avg: 39.56 / Max: 39.69Min: 87.36 / Avg: 87.52 / Max: 87.65Min: 81.15 / Avg: 81.27 / Max: 81.33Min: 49.19 / Avg: 49.26 / Max: 49.29Min: 46.15 / Avg: 46.23 / Max: 46.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20K40K60K80K100KSE +/- 158.23, N = 3SE +/- 270.04, N = 3SE +/- 509.24, N = 3SE +/- 307.17, N = 3SE +/- 383.40, N = 3SE +/- 223.70, N = 3SE +/- 0.00, N = 3SE +/- 721.42, N = 331647.331335.560853.962047.342366.746081.483966.688708.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power15K30K45K60K75KMin: 31330.8 / Avg: 31647.27 / Max: 31805.5Min: 30870.1 / Avg: 31335.47 / Max: 31805.5Min: 59976.1 / Avg: 60853.87 / Max: 61740.1Min: 61740.1 / Avg: 62047.27 / Max: 62661.6Min: 41983.3 / Avg: 42366.7 / Max: 43133.5Min: 45634 / Avg: 46081.4 / Max: 46305.1Min: 83966.6 / Avg: 83966.6 / Max: 83966.6Min: 87465.2 / Avg: 88708.83 / Max: 89964.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20K40K60K80K100KSE +/- 0.00, N = 3SE +/- 219.20, N = 3SE +/- 696.55, N = 3SE +/- 438.43, N = 3SE +/- 626.96, N = 3SE +/- 277.50, N = 3SE +/- 460.77, N = 3SE +/- 1025.23, N = 337485.137265.971171.874093.347485.251341.393531.798935.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20K40K60K80K100KMin: 37485.1 / Avg: 37485.1 / Max: 37485.1Min: 36827.5 / Avg: 37265.9 / Max: 37485.1Min: 69972.2 / Avg: 71171.77 / Max: 72385Min: 73654.9 / Avg: 74093.33 / Max: 74970.2Min: 46305.1 / Avg: 47485.23 / Max: 48442.3Min: 50786.3 / Avg: 51341.3 / Max: 51618.8Min: 92610.2 / Avg: 93531.73 / Max: 93992.5Min: 96884.5 / Avg: 98934.97 / Max: 99960.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KSE +/- 105.96, N = 3SE +/- 109.97, N = 3SE +/- 22.88, N = 3SE +/- 83.80, N = 3SE +/- 107.55, N = 4SE +/- 7.94, N = 3SE +/- 125.11, N = 3SE +/- 125.50, N = 4899696079699101889258101559009103871. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KMin: 8791 / Avg: 8996 / Max: 9145Min: 9393 / Avg: 9607 / Max: 9758Min: 9653 / Avg: 9698.67 / Max: 9724Min: 10077 / Avg: 10187.67 / Max: 10352Min: 8945 / Avg: 9257.75 / Max: 9423Min: 10143 / Avg: 10155 / Max: 10170Min: 8775 / Avg: 9008.67 / Max: 9203Min: 10245 / Avg: 10387.25 / Max: 107631. (CXX) g++ options: -flto -pthread

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.1510.3020.4530.6040.755SE +/- 0.000621, N = 7SE +/- 0.001196, N = 7SE +/- 0.001952, N = 7SE +/- 0.002336, N = 7SE +/- 0.002654, N = 7SE +/- 0.001657, N = 7SE +/- 0.004050, N = 7SE +/- 0.004281, N = 70.5951160.5862750.4391750.4426350.6709700.6116000.5254580.476241MIN: 0.57MIN: 0.56MIN: 0.36MIN: 0.37MIN: 0.6MIN: 0.58MIN: 0.43MIN: 0.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 0.59 / Avg: 0.6 / Max: 0.6Min: 0.58 / Avg: 0.59 / Max: 0.59Min: 0.43 / Avg: 0.44 / Max: 0.45Min: 0.44 / Avg: 0.44 / Max: 0.45Min: 0.66 / Avg: 0.67 / Max: 0.68Min: 0.61 / Avg: 0.61 / Max: 0.62Min: 0.5 / Avg: 0.53 / Max: 0.54Min: 0.46 / Avg: 0.48 / Max: 0.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.08580.17160.25740.34320.429SE +/- 0.000753, N = 7SE +/- 0.001154, N = 7SE +/- 0.002218, N = 15SE +/- 0.001500, N = 7SE +/- 0.001346, N = 7SE +/- 0.001008, N = 7SE +/- 0.000899, N = 7SE +/- 0.002765, N = 150.2802370.2610290.2897080.2820140.2858200.2811040.3811550.341806MIN: 0.25MIN: 0.24MIN: 0.22MIN: 0.21MIN: 0.26MIN: 0.25MIN: 0.28MIN: 0.271. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power12345Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.26 / Avg: 0.26 / Max: 0.27Min: 0.27 / Avg: 0.29 / Max: 0.3Min: 0.28 / Avg: 0.28 / Max: 0.29Min: 0.28 / Avg: 0.29 / Max: 0.29Min: 0.28 / Avg: 0.28 / Max: 0.29Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.32 / Avg: 0.34 / Max: 0.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.25720.51440.77161.02881.286SE +/- 0.000646, N = 9SE +/- 0.000782, N = 9SE +/- 0.001947, N = 9SE +/- 0.001619, N = 9SE +/- 0.000926, N = 9SE +/- 0.000988, N = 9SE +/- 0.001925, N = 9SE +/- 0.002404, N = 91.1200801.1157400.7597540.7452651.1431801.0895900.9847340.938707MIN: 1.11MIN: 1.1MIN: 0.73MIN: 0.72MIN: 1.04MIN: 0.99MIN: 0.9MIN: 0.861. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 1.12 / Avg: 1.12 / Max: 1.12Min: 1.11 / Avg: 1.12 / Max: 1.12Min: 0.75 / Avg: 0.76 / Max: 0.77Min: 0.74 / Avg: 0.75 / Max: 0.75Min: 1.14 / Avg: 1.14 / Max: 1.15Min: 1.09 / Avg: 1.09 / Max: 1.09Min: 0.98 / Avg: 0.98 / Max: 1Min: 0.93 / Avg: 0.94 / Max: 0.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150SE +/- 0.56, N = 3SE +/- 0.53, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 3117.76115.7783.3481.68105.1997.6274.6571.33
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100Min: 117 / Avg: 117.76 / Max: 118.84Min: 114.71 / Avg: 115.77 / Max: 116.37Min: 82.98 / Avg: 83.34 / Max: 83.7Min: 81.6 / Avg: 81.68 / Max: 81.83Min: 104.97 / Avg: 105.19 / Max: 105.33Min: 97.45 / Avg: 97.62 / Max: 97.89Min: 74.36 / Avg: 74.65 / Max: 74.98Min: 71.04 / Avg: 71.33 / Max: 71.73

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200SE +/- 0.36, N = 3SE +/- 0.82, N = 3SE +/- 0.41, N = 3SE +/- 0.46, N = 3SE +/- 0.19, N = 3SE +/- 1.36, N = 3SE +/- 0.11, N = 3SE +/- 0.24, N = 3180.48178.75159.74159.93171.12167.35158.69157.88
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 180.11 / Avg: 180.48 / Max: 181.21Min: 177.61 / Avg: 178.75 / Max: 180.34Min: 159.09 / Avg: 159.74 / Max: 160.49Min: 159.01 / Avg: 159.93 / Max: 160.47Min: 170.74 / Avg: 171.12 / Max: 171.33Min: 165.75 / Avg: 167.35 / Max: 170.06Min: 158.48 / Avg: 158.69 / Max: 158.81Min: 157.51 / Avg: 157.88 / Max: 158.34

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 21.2Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150SE +/- 1.10, N = 12SE +/- 1.25, N = 3SE +/- 1.11, N = 3SE +/- 0.87, N = 3SE +/- 2.00, N = 3SE +/- 0.21, N = 3SE +/- 0.76, N = 3SE +/- 0.87, N = 3150.77148.97135.99134.83146.31141.44137.08135.26
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 143.26 / Avg: 150.77 / Max: 154.1Min: 146.99 / Avg: 148.97 / Max: 151.28Min: 134.66 / Avg: 135.99 / Max: 138.19Min: 133.17 / Avg: 134.83 / Max: 136.13Min: 142.37 / Avg: 146.31 / Max: 148.86Min: 141.08 / Avg: 141.44 / Max: 141.79Min: 136.02 / Avg: 137.08 / Max: 138.56Min: 133.6 / Avg: 135.26 / Max: 136.57

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 3.2.3Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power816243240SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 3SE +/- 0.38, N = 4SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 434.5334.2032.6032.9733.2632.4533.7833.34
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power714212835Min: 34.45 / Avg: 34.53 / Max: 34.64Min: 33.94 / Avg: 34.2 / Max: 34.4Min: 31.99 / Avg: 32.6 / Max: 33.02Min: 31.9 / Avg: 32.97 / Max: 33.63Min: 32.95 / Avg: 33.26 / Max: 33.58Min: 32.36 / Avg: 32.45 / Max: 32.6Min: 33.62 / Avg: 33.78 / Max: 33.95Min: 32.41 / Avg: 33.34 / Max: 34.24

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 5.18Build: defconfigEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power612182430SE +/- 0.32, N = 3SE +/- 0.24, N = 5SE +/- 0.17, N = 7SE +/- 0.18, N = 7SE +/- 0.26, N = 5SE +/- 0.23, N = 5SE +/- 0.16, N = 9SE +/- 0.15, N = 924.7323.8819.1418.7923.6122.5119.0018.23
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: defconfigEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power612182430Min: 24.34 / Avg: 24.73 / Max: 25.37Min: 23.61 / Avg: 23.88 / Max: 24.84Min: 18.89 / Avg: 19.14 / Max: 20.17Min: 18.58 / Avg: 18.79 / Max: 19.85Min: 23.28 / Avg: 23.61 / Max: 24.62Min: 22.22 / Avg: 22.51 / Max: 23.41Min: 18.74 / Avg: 19 / Max: 20.22Min: 17.91 / Avg: 18.23 / Max: 19.33

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: allmodconfigEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200SE +/- 0.52, N = 3SE +/- 0.42, N = 3SE +/- 0.36, N = 3SE +/- 0.39, N = 3SE +/- 0.43, N = 3SE +/- 0.49, N = 3SE +/- 0.47, N = 3SE +/- 0.08, N = 3185.81179.86113.17109.24173.11158.32107.1498.28
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: allmodconfigEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 185.25 / Avg: 185.8 / Max: 186.84Min: 179.34 / Avg: 179.86 / Max: 180.69Min: 112.79 / Avg: 113.17 / Max: 113.89Min: 108.83 / Avg: 109.24 / Max: 110.01Min: 172.65 / Avg: 173.11 / Max: 173.97Min: 157.71 / Avg: 158.32 / Max: 159.29Min: 106.55 / Avg: 107.14 / Max: 108.07Min: 98.13 / Avg: 98.28 / Max: 98.38

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 21.0Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 320.7920.5719.8119.8020.7720.3820.2519.94
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025Min: 20.68 / Avg: 20.79 / Max: 20.9Min: 20.51 / Avg: 20.57 / Max: 20.65Min: 19.69 / Avg: 19.81 / Max: 19.98Min: 19.72 / Avg: 19.8 / Max: 19.95Min: 20.75 / Avg: 20.77 / Max: 20.81Min: 20.35 / Avg: 20.38 / Max: 20.4Min: 20.14 / Avg: 20.25 / Max: 20.38Min: 19.74 / Avg: 19.94 / Max: 20.32

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215SE +/- 0.014, N = 5SE +/- 0.022, N = 5SE +/- 0.024, N = 6SE +/- 0.030, N = 6SE +/- 0.006, N = 5SE +/- 0.016, N = 5SE +/- 0.029, N = 6SE +/- 0.018, N = 69.1628.9477.7957.6768.7658.4147.6977.493
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 9.12 / Avg: 9.16 / Max: 9.2Min: 8.89 / Avg: 8.95 / Max: 9.01Min: 7.73 / Avg: 7.8 / Max: 7.86Min: 7.58 / Avg: 7.68 / Max: 7.79Min: 8.75 / Avg: 8.77 / Max: 8.79Min: 8.36 / Avg: 8.41 / Max: 8.46Min: 7.6 / Avg: 7.7 / Max: 7.8Min: 7.41 / Avg: 7.49 / Max: 7.54

Timed Node.js Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150SE +/- 0.32, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.32, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.37, N = 3133.20132.32100.2699.65123.43117.0698.5195.41
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 132.61 / Avg: 133.2 / Max: 133.69Min: 132.28 / Avg: 132.32 / Max: 132.37Min: 100.22 / Avg: 100.26 / Max: 100.29Min: 99.48 / Avg: 99.65 / Max: 99.85Min: 122.89 / Avg: 123.43 / Max: 123.98Min: 116.71 / Avg: 117.06 / Max: 117.26Min: 98.35 / Avg: 98.51 / Max: 98.83Min: 94.81 / Avg: 95.41 / Max: 96.08

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4812162015.4615.5015.4715.4515.5915.6315.6415.71

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power60120180240300251.68251.21253.34253.27254.59254.61255.75255.70

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power918273645SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 340.1040.1840.7240.8640.4540.4141.0941.441. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power918273645Min: 39.93 / Avg: 40.1 / Max: 40.32Min: 40.06 / Avg: 40.18 / Max: 40.34Min: 40.65 / Avg: 40.72 / Max: 40.8Min: 40.62 / Avg: 40.86 / Max: 41.11Min: 40.25 / Avg: 40.45 / Max: 40.68Min: 40.3 / Avg: 40.4 / Max: 40.58Min: 41.03 / Avg: 41.09 / Max: 41.21Min: 41.13 / Avg: 41.44 / Max: 41.651. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1122334455SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.10, N = 350.8650.7148.3248.4950.6049.5348.7848.73
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1020304050Min: 50.72 / Avg: 50.86 / Max: 50.99Min: 50.52 / Avg: 50.71 / Max: 50.85Min: 47.76 / Avg: 48.32 / Max: 48.65Min: 48.32 / Avg: 48.49 / Max: 48.71Min: 50.53 / Avg: 50.6 / Max: 50.7Min: 49.3 / Avg: 49.53 / Max: 49.99Min: 48.5 / Avg: 48.78 / Max: 49.23Min: 48.6 / Avg: 48.73 / Max: 48.92

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power7001400210028003500SE +/- 19.41, N = 8SE +/- 12.71, N = 8SE +/- 21.16, N = 8SE +/- 18.24, N = 8SE +/- 19.92, N = 8SE +/- 16.67, N = 8SE +/- 24.10, N = 8SE +/- 22.93, N = 832053171330233213240321933803395
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power6001200180024003000Min: 3138 / Avg: 3204.63 / Max: 3258Min: 3134 / Avg: 3170.63 / Max: 3245Min: 3231 / Avg: 3302.25 / Max: 3373Min: 3209 / Avg: 3320.88 / Max: 3374Min: 3188 / Avg: 3240.25 / Max: 3332Min: 3184 / Avg: 3218.63 / Max: 3301Min: 3287 / Avg: 3379.63 / Max: 3476Min: 3314 / Avg: 3394.5 / Max: 3485

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 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power200K400K600K800K1000KSE +/- 3953.49, N = 3SE +/- 544.47, N = 3SE +/- 6929.10, N = 3SE +/- 3650.73, N = 3SE +/- 1109.48, N = 3SE +/- 903.59, N = 3SE +/- 1019.34, N = 3SE +/- 6383.59, N = 35457285513957526087627776589237000858714408908891. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power150K300K450K600K750KMin: 537822 / Avg: 545728 / Max: 549789Min: 550689 / Avg: 551395 / Max: 552466Min: 738792 / Avg: 752608 / Max: 760452Min: 755706 / Avg: 762777.33 / Max: 767888Min: 656929 / Avg: 658923.33 / Max: 660763Min: 698644 / Avg: 700085 / Max: 701750Min: 869566 / Avg: 871440.33 / Max: 873072Min: 884203 / Avg: 890888.67 / Max: 9036511. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power300K600K900K1200K1500KSE +/- 388.18, N = 3SE +/- 950.26, N = 3SE +/- 2445.95, N = 3SE +/- 14137.94, N = 3SE +/- 105.81, N = 3SE +/- 2286.04, N = 3SE +/- 14710.35, N = 3SE +/- 6319.46, N = 3523531524476943273947566652970741536116635913320561. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power200K400K600K800K1000KMin: 522879 / Avg: 523531 / Max: 524222Min: 522810 / Avg: 524476.33 / Max: 526101Min: 938381 / Avg: 943272.67 / Max: 945760Min: 921112 / Avg: 947565.67 / Max: 969441Min: 652781 / Avg: 652969.67 / Max: 653147Min: 738348 / Avg: 741535.67 / Max: 745968Min: 1137161 / Avg: 1166359 / Max: 1184087Min: 1321179 / Avg: 1332056.33 / Max: 13430691. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100SE +/- 0.23, N = 3SE +/- 0.31, N = 3SE +/- 1.46, N = 3SE +/- 1.36, N = 15SE +/- 0.23, N = 3SE +/- 1.03, N = 3SE +/- 0.35, N = 3SE +/- 0.61, N = 3103.3102.1103.3102.9106.1107.3108.4107.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100Min: 102.9 / Avg: 103.3 / Max: 103.7Min: 101.5 / Avg: 102.1 / Max: 102.5Min: 100.4 / Avg: 103.3 / Max: 105.1Min: 92.8 / Avg: 102.92 / Max: 113.3Min: 105.6 / Avg: 106.07 / Max: 106.3Min: 105.3 / Avg: 107.33 / Max: 108.6Min: 107.8 / Avg: 108.4 / Max: 109Min: 106.8 / Avg: 107.83 / Max: 108.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power8001600240032004000SE +/- 40.76, N = 3SE +/- 5.81, N = 3SE +/- 18.13, N = 12SE +/- 30.54, N = 12SE +/- 1.24, N = 3SE +/- 39.99, N = 3SE +/- 11.04, N = 15SE +/- 21.16, N = 123926.03837.03870.93843.53798.13852.83797.63779.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power7001400210028003500Min: 3846 / Avg: 3925.97 / Max: 3979.7Min: 3830.3 / Avg: 3837.03 / Max: 3848.6Min: 3813.9 / Avg: 3870.85 / Max: 3981.6Min: 3565.5 / Avg: 3843.51 / Max: 3971.3Min: 3796.4 / Avg: 3798.07 / Max: 3800.5Min: 3773 / Avg: 3852.77 / Max: 3897.7Min: 3748.6 / Avg: 3797.64 / Max: 3906.8Min: 3609.2 / Avg: 3779.58 / Max: 3905.21. (CC) gcc options: -O3 -pthread -lz -llzma

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.15, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 5SE +/- 0.02, N = 618.3917.4510.019.2615.6313.598.437.50
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025Min: 18.33 / Avg: 18.39 / Max: 18.49Min: 17.34 / Avg: 17.45 / Max: 17.6Min: 9.97 / Avg: 10.01 / Max: 10.06Min: 9.23 / Avg: 9.26 / Max: 9.32Min: 15.45 / Avg: 15.63 / Max: 16.07Min: 13.5 / Avg: 13.59 / Max: 13.67Min: 8.36 / Avg: 8.43 / Max: 8.53Min: 7.45 / Avg: 7.5 / Max: 7.58

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1020304050SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 346.0043.2724.4322.3038.7233.3920.1217.66
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power918273645Min: 45.9 / Avg: 46 / Max: 46.06Min: 43.25 / Avg: 43.27 / Max: 43.28Min: 24.4 / Avg: 24.43 / Max: 24.46Min: 22.25 / Avg: 22.3 / Max: 22.36Min: 38.61 / Avg: 38.72 / Max: 38.78Min: 33.34 / Avg: 33.39 / Max: 33.49Min: 20.09 / Avg: 20.12 / Max: 20.14Min: 17.61 / Avg: 17.66 / Max: 17.69

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power612182430SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 4SE +/- 0.06, N = 4SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 4SE +/- 0.06, N = 524.0022.5913.4912.3220.4718.0511.5010.54
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power612182430Min: 23.92 / Avg: 24 / Max: 24.15Min: 22.5 / Avg: 22.59 / Max: 22.64Min: 13.33 / Avg: 13.49 / Max: 13.58Min: 12.21 / Avg: 12.32 / Max: 12.44Min: 20.25 / Avg: 20.47 / Max: 20.69Min: 18.02 / Avg: 18.05 / Max: 18.08Min: 11.37 / Avg: 11.5 / Max: 11.6Min: 10.41 / Avg: 10.54 / Max: 10.74

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1326395265SE +/- 0.08, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 3SE +/- 0.33, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 358.1854.7631.1128.5748.8943.0325.7123.48
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1224364860Min: 58.08 / Avg: 58.18 / Max: 58.34Min: 54.43 / Avg: 54.76 / Max: 55.32Min: 30.93 / Avg: 31.11 / Max: 31.27Min: 28.23 / Avg: 28.57 / Max: 29.22Min: 48.81 / Avg: 48.89 / Max: 49.03Min: 42.83 / Avg: 43.03 / Max: 43.23Min: 25.67 / Avg: 25.71 / Max: 25.74Min: 23.26 / Avg: 23.48 / Max: 23.88

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 3SE +/- 0.37, N = 3SE +/- 0.72, N = 3172.18164.6697.9789.46143.31127.1181.5673.39
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 172.05 / Avg: 172.18 / Max: 172.25Min: 164.4 / Avg: 164.66 / Max: 165.02Min: 97.71 / Avg: 97.97 / Max: 98.36Min: 89.3 / Avg: 89.46 / Max: 89.68Min: 143.14 / Avg: 143.31 / Max: 143.42Min: 126.72 / Avg: 127.11 / Max: 127.86Min: 80.87 / Avg: 81.56 / Max: 82.12Min: 72.45 / Avg: 73.39 / Max: 74.8

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810SE +/- 0.016, N = 5SE +/- 0.021, N = 5SE +/- 0.057, N = 15SE +/- 0.054, N = 15SE +/- 0.012, N = 6SE +/- 0.022, N = 7SE +/- 0.063, N = 15SE +/- 0.084, N = 158.5418.5724.7234.4916.6625.8043.7803.3611. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 8.49 / Avg: 8.54 / Max: 8.58Min: 8.52 / Avg: 8.57 / Max: 8.64Min: 4.37 / Avg: 4.72 / Max: 5.05Min: 4.25 / Avg: 4.49 / Max: 4.93Min: 6.62 / Avg: 6.66 / Max: 6.7Min: 5.73 / Avg: 5.8 / Max: 5.9Min: 3.49 / Avg: 3.78 / Max: 4.17Min: 3.06 / Avg: 3.36 / Max: 4.061. (CC) gcc options: -lm -lpthread -O3

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810SE +/- 0.037, N = 5SE +/- 0.025, N = 5SE +/- 0.035, N = 6SE +/- 0.024, N = 6SE +/- 0.034, N = 5SE +/- 0.032, N = 5SE +/- 0.041, N = 15SE +/- 0.042, N = 157.4457.1455.8515.7337.1786.5786.0355.6731. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -R/usr/lib -lSDL -lXpm -lSM -lICE -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 7.37 / Avg: 7.45 / Max: 7.56Min: 7.05 / Avg: 7.15 / Max: 7.2Min: 5.73 / Avg: 5.85 / Max: 5.99Min: 5.63 / Avg: 5.73 / Max: 5.8Min: 7.06 / Avg: 7.18 / Max: 7.24Min: 6.47 / Avg: 6.58 / Max: 6.66Min: 5.82 / Avg: 6.03 / Max: 6.39Min: 5.41 / Avg: 5.67 / Max: 5.961. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -R/usr/lib -lSDL -lXpm -lSM -lICE -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs 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 3.13Binary: Pathtracer - Model: Asian DragonEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50100150200250SE +/- 0.36, N = 6SE +/- 0.12, N = 6SE +/- 0.23, N = 8SE +/- 0.18, N = 8SE +/- 0.26, N = 7SE +/- 0.14, N = 7SE +/- 0.20, N = 8SE +/- 0.29, N = 998.44100.16160.24163.83120.76137.93193.25210.04MIN: 94.48 / MAX: 100.85MIN: 96.79 / MAX: 102MIN: 154.06 / MAX: 165.16MIN: 158.53 / MAX: 168.64MIN: 116.51 / MAX: 124.3MIN: 132.56 / MAX: 143.06MIN: 188 / MAX: 207.13MIN: 203.63 / MAX: 218.06
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200Min: 97.33 / Avg: 98.44 / Max: 99.29Min: 99.74 / Avg: 100.16 / Max: 100.41Min: 159.24 / Avg: 160.24 / Max: 161.18Min: 163.16 / Avg: 163.83 / Max: 164.46Min: 119.42 / Avg: 120.76 / Max: 121.32Min: 137.33 / Avg: 137.93 / Max: 138.47Min: 192.39 / Avg: 193.25 / Max: 193.81Min: 208.64 / Avg: 210.04 / Max: 211.08

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrownEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200SE +/- 0.09, N = 6SE +/- 0.09, N = 6SE +/- 0.36, N = 7SE +/- 0.31, N = 7SE +/- 0.14, N = 6SE +/- 0.08, N = 7SE +/- 0.38, N = 8SE +/- 0.43, N = 885.5689.31141.64147.85102.97115.54175.90202.58MIN: 83.63 / MAX: 88.64MIN: 86.89 / MAX: 93.53MIN: 122.02 / MAX: 159.72MIN: 125.69 / MAX: 164.8MIN: 97.6 / MAX: 109.75MIN: 109.28 / MAX: 125.95MIN: 132.24 / MAX: 198.5MIN: 154.56 / MAX: 222.86
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrownEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200Min: 85.38 / Avg: 85.56 / Max: 85.97Min: 89.01 / Avg: 89.31 / Max: 89.54Min: 140.42 / Avg: 141.64 / Max: 142.98Min: 146.81 / Avg: 147.85 / Max: 149.29Min: 102.5 / Avg: 102.97 / Max: 103.46Min: 115.27 / Avg: 115.54 / Max: 115.89Min: 174.41 / Avg: 175.9 / Max: 177.95Min: 200.62 / Avg: 202.58 / Max: 204.17

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50100150200250SE +/- 0.15, N = 7SE +/- 0.21, N = 7SE +/- 0.39, N = 8SE +/- 0.35, N = 8SE +/- 0.07, N = 7SE +/- 0.21, N = 8SE +/- 0.22, N = 9SE +/- 0.42, N = 9111.70116.10176.35178.97136.11154.64213.25232.40MIN: 108.1 / MAX: 114.03MIN: 111.56 / MAX: 118.75MIN: 171.08 / MAX: 182.71MIN: 174.04 / MAX: 186.85MIN: 133.47 / MAX: 140.82MIN: 149.61 / MAX: 162.58MIN: 207.6 / MAX: 227.17MIN: 224.07 / MAX: 241.37
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200Min: 110.95 / Avg: 111.7 / Max: 112.24Min: 114.88 / Avg: 116.1 / Max: 116.46Min: 174.53 / Avg: 176.35 / Max: 177.6Min: 177.68 / Avg: 178.97 / Max: 180.51Min: 135.92 / Avg: 136.11 / Max: 136.41Min: 153.64 / Avg: 154.64 / Max: 155.19Min: 212.11 / Avg: 213.25 / Max: 214.12Min: 229.25 / Avg: 232.4 / Max: 233.43

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50100150200250SE +/- 0.09, N = 6SE +/- 0.23, N = 6SE +/- 0.35, N = 8SE +/- 0.24, N = 8SE +/- 0.16, N = 7SE +/- 0.12, N = 7SE +/- 0.38, N = 8SE +/- 0.25, N = 891.7296.79149.02157.17109.92123.62182.48212.17MIN: 89.33 / MAX: 96.66MIN: 93.34 / MAX: 102.27MIN: 128.73 / MAX: 170.39MIN: 131.7 / MAX: 178.28MIN: 103.8 / MAX: 118.85MIN: 116.19 / MAX: 135.91MIN: 126.18 / MAX: 211.95MIN: 156.18 / MAX: 236.74
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200Min: 91.43 / Avg: 91.72 / Max: 92.03Min: 95.81 / Avg: 96.79 / Max: 97.26Min: 147.94 / Avg: 149.02 / Max: 150.82Min: 155.84 / Avg: 157.17 / Max: 157.95Min: 109.54 / Avg: 109.92 / Max: 110.54Min: 122.98 / Avg: 123.62 / Max: 123.97Min: 181.2 / Avg: 182.48 / Max: 184.79Min: 211.47 / Avg: 212.17 / Max: 213.44

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.87981.75962.63943.51924.399SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 52.672.733.843.913.043.333.573.70
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 2.67 / Avg: 2.67 / Max: 2.67Min: 2.72 / Avg: 2.73 / Max: 2.73Min: 3.8 / Avg: 3.84 / Max: 3.87Min: 3.89 / Avg: 3.91 / Max: 3.93Min: 3.04 / Avg: 3.04 / Max: 3.04Min: 3.32 / Avg: 3.33 / Max: 3.34Min: 3.52 / Avg: 3.57 / Max: 3.61Min: 3.65 / Avg: 3.7 / Max: 3.74

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.87531.75062.62593.50124.3765SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 52.672.733.823.893.053.333.573.69
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 2.67 / Avg: 2.67 / Max: 2.67Min: 2.73 / Avg: 2.73 / Max: 2.73Min: 3.78 / Avg: 3.82 / Max: 3.85Min: 3.87 / Avg: 3.89 / Max: 3.9Min: 3.04 / Avg: 3.05 / Max: 3.05Min: 3.33 / Avg: 3.33 / Max: 3.34Min: 3.53 / Avg: 3.57 / Max: 3.62Min: 3.67 / Avg: 3.69 / Max: 3.73

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.4140.8281.2421.6562.07SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.261.291.811.841.441.581.691.77
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 1.26 / Avg: 1.26 / Max: 1.26Min: 1.29 / Avg: 1.29 / Max: 1.29Min: 1.79 / Avg: 1.81 / Max: 1.81Min: 1.84 / Avg: 1.84 / Max: 1.85Min: 1.44 / Avg: 1.44 / Max: 1.44Min: 1.58 / Avg: 1.58 / Max: 1.58Min: 1.68 / Avg: 1.69 / Max: 1.7Min: 1.75 / Avg: 1.77 / Max: 1.77

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 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1224364860SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 321.5222.0237.0537.9526.5330.5643.9651.71
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1020304050Min: 21.41 / Avg: 21.52 / Max: 21.58Min: 22.01 / Avg: 22.02 / Max: 22.03Min: 37.02 / Avg: 37.05 / Max: 37.1Min: 37.85 / Avg: 37.95 / Max: 38Min: 26.52 / Avg: 26.53 / Max: 26.55Min: 30.19 / Avg: 30.56 / Max: 30.76Min: 43.91 / Avg: 43.96 / Max: 44.04Min: 51.61 / Avg: 51.71 / Max: 51.87

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1428425670SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 325.7026.4546.0348.0631.1736.3254.2164.14
OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1326395265Min: 25.68 / Avg: 25.7 / Max: 25.72Min: 26.42 / Avg: 26.45 / Max: 26.47Min: 46 / Avg: 46.03 / Max: 46.06Min: 48.01 / Avg: 48.06 / Max: 48.1Min: 31.15 / Avg: 31.17 / Max: 31.21Min: 36.28 / Avg: 36.32 / Max: 36.38Min: 54.07 / Avg: 54.21 / Max: 54.4Min: 63.97 / Avg: 64.14 / Max: 64.32

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 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30060090012001500SE +/- 0.67, N = 3SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 31289124071766710609165795031. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2004006008001000Min: 1288 / Avg: 1289.33 / Max: 1290Min: 1239 / Avg: 1240.33 / Max: 1242Min: 716 / Avg: 717.33 / Max: 718Min: 666 / Avg: 666.67 / Max: 667Min: 1059 / Avg: 1059.67 / Max: 1060Min: 915 / Avg: 916.33 / Max: 918Min: 578 / Avg: 579.33 / Max: 580Min: 502 / Avg: 502.67 / Max: 5031. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4K8K12K16K20KSE +/- 7.54, N = 3SE +/- 7.06, N = 3SE +/- 13.62, N = 3SE +/- 8.50, N = 3SE +/- 11.92, N = 3SE +/- 20.21, N = 3SE +/- 6.17, N = 3SE +/- 13.35, N = 3206231989811454106401697114722925680431. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4K8K12K16K20KMin: 20613 / Avg: 20623.33 / Max: 20638Min: 19885 / Avg: 19898.33 / Max: 19909Min: 11432 / Avg: 11454.33 / Max: 11479Min: 10623 / Avg: 10640 / Max: 10649Min: 16957 / Avg: 16971.33 / Max: 16995Min: 14687 / Avg: 14722 / Max: 14757Min: 9247 / Avg: 9256.33 / Max: 9268Min: 8016 / Avg: 8042.67 / Max: 80571. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power9K18K27K36K45KSE +/- 31.01, N = 3SE +/- 55.41, N = 3SE +/- 43.24, N = 3SE +/- 33.62, N = 3SE +/- 53.67, N = 3SE +/- 57.52, N = 3SE +/- 50.75, N = 3SE +/- 32.54, N = 341316397772297121323339782944518567161341. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power7K14K21K28K35KMin: 41277 / Avg: 41315.67 / Max: 41377Min: 39671 / Avg: 39777 / Max: 39858Min: 22909 / Avg: 22970.67 / Max: 23054Min: 21280 / Avg: 21322.67 / Max: 21389Min: 33903 / Avg: 33978 / Max: 34082Min: 29357 / Avg: 29444.67 / Max: 29553Min: 18484 / Avg: 18566.67 / Max: 18659Min: 16089 / Avg: 16133.67 / Max: 161971. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30060090012001500SE +/- 1.86, N = 3SE +/- 1.53, N = 3SE +/- 0.67, N = 3SE +/- 1.15, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 1.53, N = 3SE +/- 1.53, N = 31310126273168310719266005101. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2004006008001000Min: 1308 / Avg: 1310.33 / Max: 1314Min: 1260 / Avg: 1262 / Max: 1265Min: 730 / Avg: 731.33 / Max: 732Min: 681 / Avg: 683 / Max: 685Min: 1070 / Avg: 1070.67 / Max: 1071Min: 925 / Avg: 925.67 / Max: 927Min: 597 / Avg: 600 / Max: 602Min: 508 / Avg: 510 / Max: 5131. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4K8K12K16K20KSE +/- 16.33, N = 3SE +/- 14.57, N = 3SE +/- 5.69, N = 3SE +/- 12.91, N = 3SE +/- 9.61, N = 3SE +/- 40.04, N = 3SE +/- 14.38, N = 3SE +/- 11.98, N = 3209462023011646108891716214926937581721. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4K8K12K16K20KMin: 20915 / Avg: 20946.33 / Max: 20970Min: 20201 / Avg: 20230 / Max: 20247Min: 11635 / Avg: 11646 / Max: 11654Min: 10874 / Avg: 10889.33 / Max: 10915Min: 17149 / Avg: 17162.33 / Max: 17181Min: 14869 / Avg: 14925.67 / Max: 15003Min: 9346 / Avg: 9374.67 / Max: 9391Min: 8150 / Avg: 8172.33 / Max: 81911. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power9K18K27K36K45KSE +/- 34.87, N = 3SE +/- 60.79, N = 3SE +/- 24.88, N = 3SE +/- 12.86, N = 3SE +/- 75.68, N = 3SE +/- 52.88, N = 3SE +/- 47.26, N = 3SE +/- 9.49, N = 341738404062330921776343232971518823163561. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power7K14K21K28K35KMin: 41674 / Avg: 41738 / Max: 41794Min: 40314 / Avg: 40406.33 / Max: 40521Min: 23276 / Avg: 23309.33 / Max: 23358Min: 21752 / Avg: 21776 / Max: 21796Min: 34219 / Avg: 34322.67 / Max: 34470Min: 29618 / Avg: 29715 / Max: 29800Min: 18731 / Avg: 18823.33 / Max: 18887Min: 16344 / Avg: 16356.33 / Max: 163751. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30060090012001500SE +/- 1.15, N = 3SE +/- 1.33, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 1.45, N = 3SE +/- 1.76, N = 315371483859799126310956936031. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30060090012001500Min: 1535 / Avg: 1537 / Max: 1539Min: 1480 / Avg: 1482.67 / Max: 1484Min: 857 / Avg: 858.67 / Max: 860Min: 798 / Avg: 799 / Max: 800Min: 1262 / Avg: 1263 / Max: 1264Min: 1093 / Avg: 1094.67 / Max: 1097Min: 690 / Avg: 692.67 / Max: 695Min: 600 / Avg: 602.67 / Max: 6061. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power5K10K15K20K25KSE +/- 19.97, N = 3SE +/- 8.19, N = 3SE +/- 14.85, N = 3SE +/- 3.06, N = 3SE +/- 5.61, N = 3SE +/- 30.02, N = 3SE +/- 16.26, N = 3SE +/- 10.97, N = 32460723782136901278920228175691105595971. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4K8K12K16K20KMin: 24577 / Avg: 24607.33 / Max: 24645Min: 23767 / Avg: 23782.33 / Max: 23795Min: 13661 / Avg: 13690.33 / Max: 13709Min: 12785 / Avg: 12789 / Max: 12795Min: 20217 / Avg: 20227.67 / Max: 20236Min: 17531 / Avg: 17568.67 / Max: 17628Min: 11034 / Avg: 11055 / Max: 11087Min: 9578 / Avg: 9596.67 / Max: 96161. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power11K22K33K44K55KSE +/- 30.66, N = 3SE +/- 21.43, N = 3SE +/- 32.90, N = 3SE +/- 30.95, N = 3SE +/- 80.97, N = 3SE +/- 70.57, N = 3SE +/- 20.98, N = 3SE +/- 26.91, N = 349152476382743825561404923505922083192151. (CXX) g++ options: -O3 -ldl
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power9K18K27K36K45KMin: 49112 / Avg: 49151.67 / Max: 49212Min: 47603 / Avg: 47638.33 / Max: 47677Min: 27372 / Avg: 27437.67 / Max: 27474Min: 25503 / Avg: 25560.67 / Max: 25609Min: 40338 / Avg: 40492.33 / Max: 40612Min: 34954 / Avg: 35058.67 / Max: 35193Min: 22043 / Avg: 22083 / Max: 22114Min: 19163 / Avg: 19215 / Max: 192531. (CXX) g++ options: -O3 -ldl

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power612182430SE +/- 0.05, N = 3SE +/- 0.11, N = 10SE +/- 0.47, N = 15SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 15SE +/- 0.07, N = 3SE +/- 1.00, N = 1512.8613.6017.6821.5314.3117.0717.6623.01MIN: 12.51 / MAX: 14.41MIN: 13.01 / MAX: 15.51MIN: 15.4 / MAX: 25.14MIN: 20.88 / MAX: 26.15MIN: 13.83 / MAX: 16.93MIN: 15.77 / MAX: 20.52MIN: 16.23 / MAX: 28.26MIN: 17.54 / MAX: 34.17
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025Min: 12.77 / Avg: 12.86 / Max: 12.94Min: 13.36 / Avg: 13.6 / Max: 14.27Min: 16.31 / Avg: 17.68 / Max: 21.26Min: 21.36 / Avg: 21.53 / Max: 21.83Min: 14.28 / Avg: 14.31 / Max: 14.33Min: 16.41 / Avg: 17.07 / Max: 18.44Min: 17.57 / Avg: 17.66 / Max: 17.8Min: 19.1 / Avg: 23.01 / Max: 27.17

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power714212835SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.57, N = 15SE +/- 0.15, N = 15SE +/- 0.02, N = 3SE +/- 0.73, N = 15SE +/- 0.19, N = 318.5018.6325.8226.8521.4923.6229.1330.79MIN: 16.15 / MAX: 22.48MIN: 16.54 / MAX: 23.87MIN: 21.62 / MAX: 38.24MIN: 21.39 / MAX: 39.12MIN: 18.29 / MAX: 27.17MIN: 21.1 / MAX: 31.71MIN: 22.84 / MAX: 45.75MIN: 24.95 / MAX: 52.26
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power714212835Min: 18.42 / Avg: 18.5 / Max: 18.62Min: 18.54 / Avg: 18.63 / Max: 18.69Min: 25.63 / Avg: 25.82 / Max: 25.94Min: 25.17 / Avg: 26.85 / Max: 30.67Min: 21.05 / Avg: 21.49 / Max: 22.74Min: 23.6 / Avg: 23.62 / Max: 23.66Min: 26.89 / Avg: 29.13 / Max: 34.92Min: 30.54 / Avg: 30.79 / Max: 31.15

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 2.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100SE +/- 0.20, N = 5SE +/- 0.12, N = 5SE +/- 0.40, N = 6SE +/- 0.31, N = 6SE +/- 0.51, N = 6SE +/- 0.53, N = 15SE +/- 0.55, N = 5SE +/- 0.30, N = 562.3362.1373.3774.7076.6777.0571.5771.571. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1530456075Min: 61.55 / Avg: 62.33 / Max: 62.63Min: 61.83 / Avg: 62.13 / Max: 62.46Min: 72.01 / Avg: 73.37 / Max: 74.88Min: 73.62 / Avg: 74.7 / Max: 75.8Min: 74.23 / Avg: 76.67 / Max: 77.58Min: 69.86 / Avg: 77.05 / Max: 78.24Min: 70.29 / Avg: 71.57 / Max: 72.9Min: 70.62 / Avg: 71.57 / Max: 72.261. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power400800120016002000SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 1.45, N = 3SE +/- 4.51, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 8.96, N = 3SE +/- 14.97, N = 3121612391756173714291665192320801. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power400800120016002000Min: 1215 / Avg: 1216 / Max: 1217Min: 1238 / Avg: 1239.33 / Max: 1240Min: 1754 / Avg: 1756.33 / Max: 1759Min: 1732 / Avg: 1737 / Max: 1746Min: 1428 / Avg: 1429 / Max: 1430Min: 1665 / Avg: 1665.33 / Max: 1666Min: 1907 / Avg: 1923 / Max: 1938Min: 2050 / Avg: 2079.67 / Max: 20981. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30060090012001500SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 3.18, N = 3SE +/- 1.67, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 3.46, N = 3SE +/- 2.91, N = 369770411021114843999118313931. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2004006008001000Min: 697 / Avg: 697.33 / Max: 698Min: 703 / Avg: 703.67 / Max: 704Min: 1096 / Avg: 1101.67 / Max: 1107Min: 1112 / Avg: 1113.67 / Max: 1117Min: 842 / Avg: 843 / Max: 844Min: 998 / Avg: 998.67 / Max: 1000Min: 1177 / Avg: 1183 / Max: 1189Min: 1388 / Avg: 1393.33 / Max: 13981. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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 4.0Preset: MediumEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power130260390520650SE +/- 0.06, N = 8SE +/- 0.07, N = 8SE +/- 0.91, N = 8SE +/- 0.91, N = 8SE +/- 0.19, N = 8SE +/- 0.34, N = 8SE +/- 1.52, N = 8SE +/- 1.79, N = 8360.55388.57548.85613.64422.02480.19571.61601.361. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power110220330440550Min: 360.25 / Avg: 360.55 / Max: 360.77Min: 388.26 / Avg: 388.57 / Max: 388.89Min: 543.61 / Avg: 548.85 / Max: 552.57Min: 610.21 / Avg: 613.64 / Max: 617.71Min: 421.42 / Avg: 422.02 / Max: 422.75Min: 479.05 / Avg: 480.19 / Max: 481.42Min: 568.31 / Avg: 571.61 / Max: 581.27Min: 590.14 / Avg: 601.36 / Max: 606.61. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 6SE +/- 0.02, N = 7SE +/- 0.01, N = 6SE +/- 0.04, N = 6SE +/- 0.05, N = 7SE +/- 0.08, N = 747.5450.9490.5598.4056.2065.40106.62122.121. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100Min: 47.49 / Avg: 47.54 / Max: 47.56Min: 50.91 / Avg: 50.94 / Max: 50.97Min: 90.52 / Avg: 90.55 / Max: 90.59Min: 98.34 / Avg: 98.4 / Max: 98.47Min: 56.15 / Avg: 56.2 / Max: 56.24Min: 65.27 / Avg: 65.4 / Max: 65.53Min: 106.39 / Avg: 106.62 / Max: 106.75Min: 121.78 / Avg: 122.12 / Max: 122.391. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power48121620SE +/- 0.0005, N = 4SE +/- 0.0021, N = 4SE +/- 0.0052, N = 5SE +/- 0.0010, N = 6SE +/- 0.0016, N = 4SE +/- 0.0031, N = 5SE +/- 0.0146, N = 6SE +/- 0.0373, N = 65.02955.38249.641810.70695.95687.036811.739413.69981. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power48121620Min: 5.03 / Avg: 5.03 / Max: 5.03Min: 5.38 / Avg: 5.38 / Max: 5.39Min: 9.63 / Avg: 9.64 / Max: 9.65Min: 10.7 / Avg: 10.71 / Max: 10.71Min: 5.95 / Avg: 5.96 / Max: 5.96Min: 7.03 / Avg: 7.04 / Max: 7.04Min: 11.72 / Avg: 11.74 / Max: 11.81Min: 13.61 / Avg: 13.7 / Max: 13.841. (CXX) g++ options: -O3 -flto -pthread

Etcpak

Etcpack is the self-proclaimed "fastest ETC compressor on the planet" with focused on providing open-source, very fast ETC and S3 texture compression support. The test profile uses a 8K x 8K game texture as a sample input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 1.0Benchmark: Multi-Threaded - Configuration: ETC2EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KSE +/- 16.14, N = 9SE +/- 18.91, N = 9SE +/- 26.45, N = 9SE +/- 28.22, N = 9SE +/- 97.61, N = 15SE +/- 79.32, N = 15SE +/- 70.12, N = 9SE +/- 47.66, N = 98966.418976.898902.858825.799257.889335.769305.679232.751. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 1.0Benchmark: Multi-Threaded - Configuration: ETC2EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power16003200480064008000Min: 8918.12 / Avg: 8966.41 / Max: 9068.77Min: 8927.61 / Avg: 8976.89 / Max: 9108.15Min: 8785.03 / Avg: 8902.85 / Max: 8995.83Min: 8738.13 / Avg: 8825.79 / Max: 9026.07Min: 8902.74 / Avg: 9257.88 / Max: 10138.82Min: 8916.94 / Avg: 9335.76 / Max: 9914.15Min: 8935.93 / Avg: 9305.67 / Max: 9649.01Min: 9050.42 / Avg: 9232.75 / Max: 9489.381. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

ebizzy

This is a test of ebizzy, a program to generate workloads resembling web server workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1.2M2.4M3.6M4.8M6MSE +/- 41834.71, N = 15SE +/- 38422.79, N = 13SE +/- 108149.58, N = 15SE +/- 105603.89, N = 15SE +/- 56812.23, N = 15SE +/- 53379.81, N = 15SE +/- 133651.04, N = 12SE +/- 121230.32, N = 15401319347691065393882582094842872004670562525031657310491. (CC) gcc options: -pthread -lpthread -O3 -march=native
OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1000K2000K3000K4000K5000KMin: 3753846 / Avg: 4013193.07 / Max: 4313815Min: 4410437 / Avg: 4769105.85 / Max: 4915642Min: 4781811 / Avg: 5393881.53 / Max: 6070632Min: 5077027 / Avg: 5820948.07 / Max: 6346253Min: 3989540 / Avg: 4287200 / Max: 4694682Min: 4375248 / Avg: 4670561.6 / Max: 5026047Min: 4524510 / Avg: 5250316.25 / Max: 6091132Min: 4876308 / Avg: 5731048.73 / Max: 65516361. (CC) gcc options: -pthread -lpthread -O3 -march=native

Node.js Express HTTP Load Test

A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2K4K6K8K10KSE +/- 39.98, N = 4SE +/- 27.20, N = 4SE +/- 36.28, N = 4SE +/- 74.87, N = 5SE +/- 11.05, N = 4SE +/- 17.64, N = 4SE +/- 62.92, N = 8SE +/- 73.54, N = 678467884745375007829778075087474
OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load TestEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power14002800420056007000Min: 7773 / Avg: 7846 / Max: 7937Min: 7831 / Avg: 7884 / Max: 7959Min: 7397 / Avg: 7452.5 / Max: 7559Min: 7252 / Avg: 7500.2 / Max: 7685Min: 7806 / Avg: 7829.25 / Max: 7851Min: 7747 / Avg: 7780 / Max: 7811Min: 7216 / Avg: 7508 / Max: 7731Min: 7132 / Avg: 7473.5 / Max: 7666

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1.2872.5743.8615.1486.435SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.705.725.705.725.675.665.675.671. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 5.68 / Avg: 5.7 / Max: 5.73Min: 5.69 / Avg: 5.72 / Max: 5.74Min: 5.68 / Avg: 5.7 / Max: 5.72Min: 5.68 / Avg: 5.72 / Max: 5.76Min: 5.64 / Avg: 5.67 / Max: 5.69Min: 5.65 / Avg: 5.66 / Max: 5.68Min: 5.65 / Avg: 5.67 / Max: 5.7Min: 5.63 / Avg: 5.67 / Max: 5.691. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.28580.57160.85741.14321.429SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.271.261.271.271.251.251.251.251. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 1.27 / Avg: 1.27 / Max: 1.27Min: 1.26 / Avg: 1.26 / Max: 1.26Min: 1.27 / Avg: 1.27 / Max: 1.27Min: 1.27 / Avg: 1.27 / Max: 1.27Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.25 / Avg: 1.25 / Max: 1.251. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.93831.87662.81493.75324.6915SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.174.174.154.164.104.114.104.111. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 4.17 / Avg: 4.17 / Max: 4.17Min: 4.16 / Avg: 4.17 / Max: 4.18Min: 4.13 / Avg: 4.15 / Max: 4.16Min: 4.16 / Avg: 4.16 / Max: 4.16Min: 4.09 / Avg: 4.1 / Max: 4.11Min: 4.11 / Avg: 4.11 / Max: 4.12Min: 4.08 / Avg: 4.1 / Max: 4.11Min: 4.1 / Avg: 4.11 / Max: 4.111. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.956.916.926.936.826.836.866.871. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 6.92 / Avg: 6.95 / Max: 6.97Min: 6.89 / Avg: 6.91 / Max: 6.94Min: 6.85 / Avg: 6.92 / Max: 6.96Min: 6.88 / Avg: 6.93 / Max: 6.98Min: 6.8 / Avg: 6.82 / Max: 6.83Min: 6.78 / Avg: 6.83 / Max: 6.87Min: 6.84 / Avg: 6.86 / Max: 6.88Min: 6.84 / Avg: 6.87 / Max: 6.91. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 36.656.606.666.656.576.556.496.571. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 6.61 / Avg: 6.65 / Max: 6.68Min: 6.51 / Avg: 6.6 / Max: 6.66Min: 6.65 / Avg: 6.66 / Max: 6.67Min: 6.6 / Avg: 6.65 / Max: 6.69Min: 6.54 / Avg: 6.57 / Max: 6.59Min: 6.49 / Avg: 6.55 / Max: 6.59Min: 6.41 / Avg: 6.49 / Max: 6.55Min: 6.55 / Avg: 6.57 / Max: 6.61. (CXX) g++ options: -O3

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1.2M2.4M3.6M4.8M6M119637512479604006667413678431239903179457579375058209291. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2004006008001000SE +/- 3.84, N = 3SE +/- 1.15, N = 3SE +/- 2.33, N = 3SE +/- 3.93, N = 3SE +/- 6.01, N = 3SE +/- 6.08, N = 3SE +/- 5.61, N = 3SE +/- 4.33, N = 3849849844846855864864862
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power150300450600750Min: 843 / Avg: 848.67 / Max: 856Min: 847 / Avg: 849 / Max: 851Min: 839 / Avg: 843.67 / Max: 846Min: 841 / Avg: 846.33 / Max: 854Min: 843 / Avg: 854.67 / Max: 863Min: 853 / Avg: 864 / Max: 874Min: 853 / Avg: 863.67 / Max: 872Min: 855 / Avg: 862.33 / Max: 870

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100SE +/- 0.17, N = 3SE +/- 0.26, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.27, N = 387.086.886.687.388.287.490.189.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100Min: 86.7 / Avg: 87.03 / Max: 87.2Min: 86.3 / Avg: 86.8 / Max: 87.2Min: 86.2 / Avg: 86.57 / Max: 86.9Min: 87.1 / Avg: 87.3 / Max: 87.5Min: 87.9 / Avg: 88.2 / Max: 88.6Min: 87.2 / Avg: 87.43 / Max: 87.7Min: 89.9 / Avg: 90.07 / Max: 90.3Min: 89.1 / Avg: 89.47 / Max: 90

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power816243240SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 336.036.035.835.736.336.536.136.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power816243240Min: 35.9 / Avg: 35.97 / Max: 36Min: 35.9 / Avg: 35.97 / Max: 36Min: 35.7 / Avg: 35.8 / Max: 35.9Min: 35.6 / Avg: 35.73 / Max: 35.9Min: 36.2 / Avg: 36.3 / Max: 36.4Min: 36.4 / Avg: 36.53 / Max: 36.6Min: 36.1 / Avg: 36.13 / Max: 36.2Min: 36.2 / Avg: 36.23 / Max: 36.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power48121620SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 316.316.316.516.416.616.716.516.6
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power48121620Min: 16.3 / Avg: 16.3 / Max: 16.3Min: 16.3 / Avg: 16.33 / Max: 16.4Min: 16.4 / Avg: 16.47 / Max: 16.5Min: 16.4 / Avg: 16.4 / Max: 16.4Min: 16.5 / Avg: 16.57 / Max: 16.6Min: 16.6 / Avg: 16.67 / Max: 16.7Min: 16.5 / Avg: 16.5 / Max: 16.5Min: 16.6 / Avg: 16.6 / Max: 16.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3115114114115116116116117
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100Min: 115 / Avg: 115 / Max: 115Min: 114 / Avg: 114 / Max: 114Min: 114 / Avg: 114 / Max: 114Min: 115 / Avg: 115 / Max: 115Min: 116 / Avg: 116 / Max: 116Min: 116 / Avg: 116 / Max: 116Min: 116 / Avg: 116 / Max: 116Min: 117 / Avg: 117 / Max: 117

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power130260390520650SE +/- 0.88, N = 3SE +/- 0.79, N = 3SE +/- 1.62, N = 3SE +/- 2.27, N = 3SE +/- 1.13, N = 3SE +/- 0.08, N = 3SE +/- 1.32, N = 3SE +/- 1.36, N = 3592.89593.13592.13591.08585.06583.50586.86584.26
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power100200300400500Min: 591.17 / Avg: 592.89 / Max: 594.09Min: 591.85 / Avg: 593.13 / Max: 594.58Min: 588.98 / Avg: 592.13 / Max: 594.34Min: 587.78 / Avg: 591.08 / Max: 595.44Min: 582.96 / Avg: 585.06 / Max: 586.84Min: 583.37 / Avg: 583.5 / Max: 583.65Min: 584.24 / Avg: 586.86 / Max: 588.49Min: 582.74 / Avg: 584.26 / Max: 586.97

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power200K400K600K800K1000KSE +/- 4409.84, N = 3SE +/- 9166.50, N = 3SE +/- 9437.20, N = 4SE +/- 1751.73, N = 3SE +/- 5980.59, N = 3SE +/- 1659.67, N = 3SE +/- 7390.85, N = 3SE +/- 3619.22, N = 3855637862102876214849730843665843411847129846790
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power150K300K450K600K750KMin: 847369 / Avg: 855637 / Max: 862430Min: 849425 / Avg: 862102.33 / Max: 879910Min: 855313 / Avg: 876213.75 / Max: 900582Min: 846404 / Avg: 849730.33 / Max: 852346Min: 832206 / Avg: 843665.33 / Max: 852364Min: 840328 / Avg: 843410.67 / Max: 846018Min: 838035 / Avg: 847129 / Max: 861768Min: 843102 / Avg: 846790 / Max: 854028

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN 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.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power90180270360450SE +/- 0.42, N = 4SE +/- 1.88, N = 4SE +/- 1.84, N = 4SE +/- 0.67, N = 4SE +/- 0.30, N = 4SE +/- 1.45, N = 4SE +/- 0.49, N = 4SE +/- 0.79, N = 4421.2420.0419.5421.6416.8413.3416.7414.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power70140210280350Min: 420.4 / Avg: 421.15 / Max: 422.1Min: 414.4 / Avg: 420.03 / Max: 422.1Min: 414.2 / Avg: 419.45 / Max: 422.3Min: 419.6 / Avg: 421.58 / Max: 422.6Min: 416 / Avg: 416.83 / Max: 417.4Min: 410.1 / Avg: 413.3 / Max: 416.9Min: 415.3 / Avg: 416.7 / Max: 417.4Min: 412.5 / Avg: 414.8 / Max: 416.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200SE +/- 0.68, N = 4SE +/- 0.65, N = 4SE +/- 0.81, N = 4SE +/- 0.57, N = 4SE +/- 0.15, N = 4SE +/- 0.38, N = 4SE +/- 0.84, N = 4SE +/- 0.36, N = 4168.1169.0168.0168.7166.6166.6165.2166.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 166.1 / Avg: 168.08 / Max: 169.2Min: 167.4 / Avg: 169 / Max: 170.5Min: 166.2 / Avg: 168 / Max: 169.6Min: 167.2 / Avg: 168.73 / Max: 169.9Min: 166.3 / Avg: 166.63 / Max: 167Min: 165.5 / Avg: 166.58 / Max: 167.2Min: 163.2 / Avg: 165.23 / Max: 167.3Min: 165.6 / Avg: 166.33 / Max: 167.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200SE +/- 0.81, N = 3SE +/- 0.66, N = 3SE +/- 0.54, N = 3SE +/- 0.41, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 3SE +/- 0.51, N = 3SE +/- 0.23, N = 3175.1175.6174.0175.5172.8172.1173.2173.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 174.1 / Avg: 175.1 / Max: 176.7Min: 174.4 / Avg: 175.57 / Max: 176.7Min: 173.4 / Avg: 174.03 / Max: 175.1Min: 174.8 / Avg: 175.47 / Max: 176.2Min: 171.7 / Avg: 172.77 / Max: 173.7Min: 170.3 / Avg: 172.07 / Max: 173Min: 172.5 / Avg: 173.2 / Max: 174.2Min: 172.6 / Avg: 173.07 / Max: 173.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power90180270360450SE +/- 3.14, N = 3SE +/- 0.13, N = 3SE +/- 1.03, N = 3SE +/- 0.90, N = 3SE +/- 1.11, N = 3SE +/- 2.63, N = 14SE +/- 0.93, N = 3SE +/- 0.25, N = 3418.4422.8420.9420.2415.7411.7416.5415.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power80160240320400Min: 412.1 / Avg: 418.37 / Max: 421.9Min: 422.7 / Avg: 422.83 / Max: 423.1Min: 418.8 / Avg: 420.87 / Max: 421.9Min: 418.5 / Avg: 420.23 / Max: 421.5Min: 413.5 / Avg: 415.67 / Max: 417.2Min: 379.3 / Avg: 411.73 / Max: 416.6Min: 414.7 / Avg: 416.53 / Max: 417.7Min: 414.7 / Avg: 415 / Max: 415.51. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200SE +/- 0.03, N = 3SE +/- 0.43, N = 3SE +/- 0.35, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 3SE +/- 0.20, N = 14SE +/- 0.12, N = 3SE +/- 0.15, N = 3160.4160.9160.1159.6158.5158.4158.6158.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 160.4 / Avg: 160.43 / Max: 160.5Min: 160.1 / Avg: 160.93 / Max: 161.5Min: 159.7 / Avg: 160.1 / Max: 160.8Min: 159.2 / Avg: 159.57 / Max: 160.1Min: 158.1 / Avg: 158.47 / Max: 158.7Min: 157 / Avg: 158.36 / Max: 159.4Min: 158.4 / Avg: 158.63 / Max: 158.8Min: 157.8 / Avg: 158.1 / Max: 158.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power100200300400500SE +/- 1.95, N = 3SE +/- 2.79, N = 3SE +/- 2.30, N = 3SE +/- 0.78, N = 3SE +/- 3.64, N = 3SE +/- 6.35, N = 3SE +/- 1.24, N = 3SE +/- 2.00, N = 3451.3448.7450.7452.9442.0441.3445.4444.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power80160240320400Min: 447.4 / Avg: 451.27 / Max: 453.6Min: 445 / Avg: 448.73 / Max: 454.2Min: 446.1 / Avg: 450.7 / Max: 453.1Min: 451.9 / Avg: 452.87 / Max: 454.4Min: 435.3 / Avg: 442.03 / Max: 447.8Min: 428.6 / Avg: 441.3 / Max: 447.7Min: 443.3 / Avg: 445.37 / Max: 447.6Min: 440.8 / Avg: 444.8 / Max: 446.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power4080120160200SE +/- 0.13, N = 3SE +/- 0.23, N = 3SE +/- 0.26, N = 3SE +/- 0.00, N = 3SE +/- 0.54, N = 3SE +/- 0.29, N = 3SE +/- 0.19, N = 3SE +/- 0.58, N = 3169.3169.1168.5168.9166.2166.4166.1166.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 169.2 / Avg: 169.33 / Max: 169.6Min: 168.7 / Avg: 169.13 / Max: 169.5Min: 168 / Avg: 168.47 / Max: 168.9Min: 168.9 / Avg: 168.9 / Max: 168.9Min: 165.6 / Avg: 166.23 / Max: 167.3Min: 165.9 / Avg: 166.43 / Max: 166.9Min: 165.7 / Avg: 166.07 / Max: 166.3Min: 165.7 / Avg: 166.67 / Max: 167.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150SE +/- 0.06, N = 4SE +/- 0.45, N = 4SE +/- 0.23, N = 4SE +/- 0.44, N = 4SE +/- 0.34, N = 4SE +/- 0.42, N = 4SE +/- 0.44, N = 4SE +/- 0.40, N = 4141.9141.6141.7141.0139.4139.8139.3138.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power306090120150Min: 141.8 / Avg: 141.93 / Max: 142.1Min: 140.3 / Avg: 141.63 / Max: 142.3Min: 141 / Avg: 141.65 / Max: 142Min: 140.2 / Avg: 141 / Max: 142.2Min: 138.5 / Avg: 139.43 / Max: 140Min: 138.5 / Avg: 139.75 / Max: 140.3Min: 138.2 / Avg: 139.3 / Max: 140Min: 138.1 / Avg: 138.8 / Max: 139.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100SE +/- 0.28, N = 4SE +/- 0.29, N = 4SE +/- 2.78, N = 4SE +/- 0.36, N = 4SE +/- 2.60, N = 4SE +/- 0.09, N = 4SE +/- 0.17, N = 4SE +/- 0.31, N = 495.995.993.495.692.294.594.994.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20406080100Min: 95.2 / Avg: 95.9 / Max: 96.4Min: 95.1 / Avg: 95.88 / Max: 96.4Min: 85.1 / Avg: 93.43 / Max: 96.3Min: 94.7 / Avg: 95.63 / Max: 96.2Min: 84.4 / Avg: 92.2 / Max: 95.2Min: 94.3 / Avg: 94.53 / Max: 94.7Min: 94.4 / Avg: 94.9 / Max: 95.2Min: 93.5 / Avg: 94.38 / Max: 94.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power40M80M120M160M200MSE +/- 592546.29, N = 3SE +/- 550757.05, N = 3SE +/- 688799.28, N = 3SE +/- 1211518.79, N = 3SE +/- 2007485.99, N = 3SE +/- 1212530.99, N = 11SE +/- 1841496.98, N = 3SE +/- 520683.31, N = 31645666671668000001666666671641666671620000001612363641586333331637666671. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm
OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30M60M90M120M150MMin: 163700000 / Avg: 164566666.67 / Max: 165700000Min: 165900000 / Avg: 166800000 / Max: 167800000Min: 165300000 / Avg: 166666666.67 / Max: 167500000Min: 161800000 / Avg: 164166666.67 / Max: 165800000Min: 158300000 / Avg: 162000000 / Max: 165200000Min: 152600000 / Avg: 161236363.64 / Max: 165400000Min: 156500000 / Avg: 158633333.33 / Max: 162300000Min: 162900000 / Avg: 163766666.67 / Max: 1647000001. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -ldl -lpthread -lm

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 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power500M1000M1500M2000M2500MSE +/- 3481538.61, N = 3SE +/- 5660683.12, N = 3SE +/- 1123981.02, N = 3SE +/- 3540872.46, N = 3SE +/- 9321659.37, N = 3SE +/- 4493328.39, N = 3SE +/- 2804955.93, N = 3SE +/- 3401960.22, N = 3231926666723082000002317400000231186666722688000002284300000228206666722815000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 32 - Buffer Length: 256 - Filter Length: 57EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power400M800M1200M1600M2000MMin: 2312400000 / Avg: 2319266666.67 / Max: 2323700000Min: 2297300000 / Avg: 2308200000 / Max: 2316300000Min: 2315900000 / Avg: 2317400000 / Max: 2319600000Min: 2305000000 / Avg: 2311866666.67 / Max: 2316800000Min: 2250400000 / Avg: 2268800000 / Max: 2280600000Min: 2275600000 / Avg: 2284300000 / Max: 2290600000Min: 2277700000 / Avg: 2282066666.67 / Max: 2287300000Min: 2277900000 / Avg: 2281500000 / Max: 22883000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1000M2000M3000M4000M5000MSE +/- 2017699.46, N = 3SE +/- 7785956.02, N = 3SE +/- 8247895.35, N = 3SE +/- 8029321.27, N = 3SE +/- 3507610.77, N = 3SE +/- 14090698.27, N = 3SE +/- 1985782.80, N = 3SE +/- 7438936.60, N = 3434973333346129333334614166667462540000040545000004547533333456480000045518666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power800M1600M2400M3200M4000MMin: 4346800000 / Avg: 4349733333.33 / Max: 4353600000Min: 4604800000 / Avg: 4612933333.33 / Max: 4628500000Min: 4600500000 / Avg: 4614166666.67 / Max: 4629000000Min: 4609500000 / Avg: 4625400000 / Max: 4635300000Min: 4047500000 / Avg: 4054500000 / Max: 4058400000Min: 4531300000 / Avg: 4547533333.33 / Max: 4575600000Min: 4561000000 / Avg: 4564800000 / Max: 4567700000Min: 4537000000 / Avg: 4551866666.67 / Max: 45598000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2000M4000M6000M8000M10000MSE +/- 1467802.59, N = 3SE +/- 2027587.51, N = 3SE +/- 7408178.66, N = 3SE +/- 11228881.41, N = 3SE +/- 1556705.92, N = 3SE +/- 2200000.00, N = 3SE +/- 3501904.24, N = 3SE +/- 9653036.37, N = 3443576666748541666678545966667922673333351748000006182900000804840000091070333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1600M3200M4800M6400M8000MMin: 4434200000 / Avg: 4435766666.67 / Max: 4438700000Min: 4850500000 / Avg: 4854166666.67 / Max: 4857500000Min: 8531200000 / Avg: 8545966666.67 / Max: 8554400000Min: 9213800000 / Avg: 9226733333.33 / Max: 9249100000Min: 5173000000 / Avg: 5174800000 / Max: 5177900000Min: 6178500000 / Avg: 6182900000 / Max: 6185100000Min: 8042600000 / Avg: 8048400000 / Max: 8054700000Min: 9087800000 / Avg: 9107033333.33 / Max: 91181000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3000M6000M9000M12000M15000MSE +/- 8467191.58, N = 3SE +/- 3002406.44, N = 3SE +/- 2940710.42, N = 3SE +/- 3352776.63, N = 3SE +/- 6811836.10, N = 3SE +/- 9056182.66, N = 3SE +/- 4841946.35, N = 3SE +/- 11259563.84, N = 345126000004948166667871366666796963666675193466667614026666710334333333122043333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2000M4000M6000M8000M10000MMin: 4497200000 / Avg: 4512600000 / Max: 4526400000Min: 4942400000 / Avg: 4948166666.67 / Max: 4952500000Min: 8709000000 / Avg: 8713666666.67 / Max: 8719100000Min: 9690400000 / Avg: 9696366666.67 / Max: 9702000000Min: 5181100000 / Avg: 5193466666.67 / Max: 5204600000Min: 6129100000 / Avg: 6140266666.67 / Max: 6158200000Min: 10329000000 / Avg: 10334333333.33 / Max: 10344000000Min: 12182000000 / Avg: 12204333333.33 / Max: 122180000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

PJSIP

PJSIP is a free and open source multimedia communication library written in C language implementing standard based protocols such as SIP, SDP, RTP, STUN, TURN, and ICE. It combines signaling protocol (SIP) with rich multimedia framework and NAT traversal functionality into high level API that is portable and suitable for almost any type of systems ranging from desktops, embedded systems, to mobile handsets. This test profile is making use of pjsip-perf with both the client/server on teh system. More details on the PJSIP benchmark at https://www.pjsip.org/high-performance-sip.htm Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20K40K60K80K100KSE +/- 306.04, N = 3SE +/- 685.00, N = 3SE +/- 839.32, N = 15SE +/- 758.24, N = 15SE +/- 278.58, N = 3SE +/- 260.59, N = 3SE +/- 299.00, N = 3SE +/- 871.18, N = 589733898348366184745878988772886749830071. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power16K32K48K64K80KMin: 89137 / Avg: 89733.33 / Max: 90151Min: 88574 / Avg: 89833.67 / Max: 90930Min: 76134 / Avg: 83661.4 / Max: 87258Min: 78235 / Avg: 84745 / Max: 88561Min: 87360 / Avg: 87897.67 / Max: 88293Min: 87241 / Avg: 87728.33 / Max: 88132Min: 86243 / Avg: 86749 / Max: 87278Min: 81036 / Avg: 83007 / Max: 857071. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lopus -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

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 1.21EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power7001400210028003500SE +/- 31.02, N = 3SE +/- 31.45, N = 3SE +/- 2.89, N = 3SE +/- 22.61, N = 3SE +/- 35.26, N = 3SE +/- 30.22, N = 3SE +/- 5.62, N = 3SE +/- 24.81, N = 93075.13089.53106.43059.93028.23043.03049.83030.61. (CXX) g++ options: -O3 -march=native -rdynamic
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power5001000150020002500Min: 3013.1 / Avg: 3075.13 / Max: 3106.9Min: 3026.6 / Avg: 3089.47 / Max: 3122.6Min: 3100.8 / Avg: 3106.43 / Max: 3110.4Min: 3017 / Avg: 3059.93 / Max: 3093.7Min: 2957.8 / Avg: 3028.23 / Max: 3066.3Min: 2982.6 / Avg: 3043.03 / Max: 3074.4Min: 3038.6 / Avg: 3049.83 / Max: 3055.6Min: 2834.2 / Avg: 3030.57 / Max: 3066.51. (CXX) g++ options: -O3 -march=native -rdynamic

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 3.0Algorithm: RSA4096EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power11K22K33K44K55KSE +/- 21.02, N = 3SE +/- 10.36, N = 3SE +/- 19.62, N = 3SE +/- 12.09, N = 3SE +/- 0.35, N = 3SE +/- 27.29, N = 3SE +/- 25.12, N = 3SE +/- 95.15, N = 317536.017546.134900.035088.922205.325901.844516.751406.61. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power9K18K27K36K45KMin: 17494 / Avg: 17536.03 / Max: 17557.8Min: 17525.4 / Avg: 17546.1 / Max: 17557.1Min: 34867 / Avg: 34900 / Max: 34934.9Min: 35064.7 / Avg: 35088.87 / Max: 35101.4Min: 22204.7 / Avg: 22205.33 / Max: 22205.9Min: 25867.3 / Avg: 25901.83 / Max: 25955.7Min: 44466.5 / Avg: 44516.73 / Max: 44542.3Min: 51242.7 / Avg: 51406.57 / Max: 51572.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power700K1400K2100K2800K3500KSE +/- 79.86, N = 3SE +/- 60.43, N = 3SE +/- 160.33, N = 3SE +/- 169.85, N = 3SE +/- 93.24, N = 3SE +/- 137.73, N = 3SE +/- 457.50, N = 3SE +/- 708.03, N = 31141402.41141575.62282702.12282801.71463630.71689673.12936111.93369633.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power600K1200K1800K2400K3000KMin: 1141307.5 / Avg: 1141402.4 / Max: 1141561.1Min: 1141456.1 / Avg: 1141575.57 / Max: 1141651.1Min: 2282386.6 / Avg: 2282702.13 / Max: 2282909.4Min: 2282485.7 / Avg: 2282801.67 / Max: 2283067.7Min: 1463447.2 / Avg: 1463630.73 / Max: 1463751.1Min: 1689402.5 / Avg: 1689673.13 / Max: 1689852.9Min: 2935275.2 / Avg: 2936111.9 / Max: 2936851Min: 3368353 / Avg: 3369633.3 / Max: 3370797.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power60000M120000M180000M240000M300000MSE +/- 88674415.22, N = 3SE +/- 113242158.65, N = 3SE +/- 145742816.61, N = 3SE +/- 540081125.64, N = 3SE +/- 380252901.09, N = 3SE +/- 91643095.12, N = 3SE +/- 584082922.27, N = 3SE +/- 281531389.95, N = 31036909647371037459202132054080378132053387274471259794446071431634700572515112738532844998186071. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power50000M100000M150000M200000M250000MMin: 103519943190 / Avg: 103690964736.67 / Max: 103817134810Min: 103519691010 / Avg: 103745920213.33 / Max: 103868341810Min: 205230946320 / Avg: 205408037813.33 / Max: 205697087570Min: 204788321540 / Avg: 205338727446.67 / Max: 206418823480Min: 125219623880 / Avg: 125979444606.67 / Max: 126387304100Min: 143004015960 / Avg: 143163470056.67 / Max: 143321466920Min: 250387877640 / Avg: 251511273853.33 / Max: 252350360300Min: 283939324380 / Avg: 284499818606.67 / Max: 2848265892301. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20K40K60K80K100KSE +/- 130.07, N = 3SE +/- 136.28, N = 3SE +/- 112.63, N = 4SE +/- 97.02, N = 4SE +/- 55.16, N = 3SE +/- 124.44, N = 4SE +/- 111.70, N = 5SE +/- 454.82, N = 548513.848786.081468.582034.858736.163045.5103903.1111088.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20K40K60K80K100KMin: 48369.9 / Avg: 48513.77 / Max: 48773.4Min: 48616.9 / Avg: 48786.03 / Max: 49055.7Min: 81208.4 / Avg: 81468.53 / Max: 81679.3Min: 81752.8 / Avg: 82034.8 / Max: 82196.3Min: 58647.6 / Avg: 58736.13 / Max: 58837.4Min: 62790.4 / Avg: 63045.5 / Max: 63383.4Min: 103659.2 / Avg: 103903.06 / Max: 104286.2Min: 110326.6 / Avg: 111088.84 / Max: 112866.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power30K60K90K120K150KSE +/- 86.61, N = 3SE +/- 46.14, N = 3SE +/- 83.46, N = 4SE +/- 164.95, N = 4SE +/- 23.53, N = 4SE +/- 49.38, N = 4SE +/- 196.84, N = 5SE +/- 156.60, N = 560490.261774.297269.498131.475830.982117.1126187.4137480.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power20K40K60K80K100KMin: 60339.1 / Avg: 60490.2 / Max: 60639.1Min: 61686.5 / Avg: 61774.2 / Max: 61842.9Min: 97096.8 / Avg: 97269.4 / Max: 97484.9Min: 97828.2 / Avg: 98131.43 / Max: 98580.4Min: 75780.5 / Avg: 75830.85 / Max: 75889.8Min: 81980.7 / Avg: 82117.08 / Max: 82209.8Min: 125770.3 / Avg: 126187.36 / Max: 126710.6Min: 136986.3 / Avg: 137480.44 / Max: 1379121. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power200K400K600K800K1000KSE +/- 24.46, N = 3SE +/- 51.83, N = 3SE +/- 284.53, N = 3SE +/- 425.17, N = 3SE +/- 1162.56, N = 3SE +/- 28.32, N = 3SE +/- 1204.93, N = 3SE +/- 1525.81, N = 3309133.88309102.11615405.64615220.30446395.22457526.55896449.81910333.641. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power160K320K480K640K800KMin: 309091.81 / Avg: 309133.88 / Max: 309176.53Min: 309015.47 / Avg: 309102.11 / Max: 309194.72Min: 614836.65 / Avg: 615405.64 / Max: 615698.18Min: 614758.83 / Avg: 615220.3 / Max: 616069.58Min: 445162.08 / Avg: 446395.22 / Max: 448718.88Min: 457481.46 / Avg: 457526.55 / Max: 457578.77Min: 894104.2 / Avg: 896449.81 / Max: 898101.32Min: 907696.65 / Avg: 910333.64 / Max: 912982.191. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

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 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215SE +/- 0.036, N = 5SE +/- 0.024, N = 5SE +/- 0.028, N = 7SE +/- 0.026, N = 7SE +/- 0.033, N = 6SE +/- 0.014, N = 6SE +/- 0.023, N = 8SE +/- 0.014, N = 99.6199.5665.0165.0297.9886.9534.2173.7381. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 9.51 / Avg: 9.62 / Max: 9.73Min: 9.48 / Avg: 9.57 / Max: 9.63Min: 4.91 / Avg: 5.02 / Max: 5.16Min: 4.97 / Avg: 5.03 / Max: 5.16Min: 7.89 / Avg: 7.99 / Max: 8.09Min: 6.91 / Avg: 6.95 / Max: 7Min: 4.12 / Avg: 4.22 / Max: 4.33Min: 3.65 / Avg: 3.74 / Max: 3.81. (CXX) g++ options: -fopenmp -O2 -march=native

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 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power2M4M6M8M10MSE +/- 16091.05, N = 3SE +/- 13633.41, N = 3SE +/- 6330.65, N = 3SE +/- 9387.28, N = 3SE +/- 4348.78, N = 3SE +/- 17803.94, N = 3SE +/- 75759.77, N = 3SE +/- 58302.36, N = 32950220.282930510.796009403.026023637.433753920.394111551.587536121.018413564.081. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power1.5M3M4.5M6M7.5MMin: 2924822.91 / Avg: 2950220.28 / Max: 2980036.09Min: 2910413.82 / Avg: 2930510.79 / Max: 2956518.39Min: 5996954.67 / Avg: 6009403.02 / Max: 6017629.77Min: 6006099.95 / Avg: 6023637.43 / Max: 6038210.55Min: 3747316.37 / Avg: 3753920.39 / Max: 3762124.03Min: 4088150.75 / Avg: 4111551.58 / Max: 4146495.1Min: 7384852.08 / Avg: 7536121.01 / Max: 7619299.58Min: 8297320.66 / Avg: 8413564.08 / Max: 8479629.021. (CC) gcc options: -O2 -lrt" -lrt

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power90M180M270M360M450MSE +/- 1373257.95, N = 3SE +/- 835429.68, N = 3SE +/- 1040134.87, N = 3SE +/- 3711493.29, N = 5SE +/- 2828612.84, N = 3SE +/- 1169064.32, N = 3SE +/- 2695071.60, N = 3SE +/- 1520548.58, N = 3209533141212598823368462801373466857249175879280313823368919863397046539
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power70M140M210M280M350MMin: 207533584 / Avg: 209533141.33 / Max: 212163515Min: 210965402 / Avg: 212598823.33 / Max: 213720131Min: 366401691 / Avg: 368462800.67 / Max: 369737306Min: 367390642 / Avg: 373466857 / Max: 387387799Min: 244432430 / Avg: 249175878.67 / Max: 254217420Min: 278823104 / Avg: 280313823 / Max: 282619135Min: 365620710 / Avg: 368919863 / Max: 374260906Min: 394008334 / Avg: 397046539.33 / Max: 398680469

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. The sample scene used is the Teapot scene ray-traced to 8K x 8K with 32 samples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total TimeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025SE +/- 0.0168, N = 3SE +/- 0.0045, N = 3SE +/- 0.0786, N = 5SE +/- 0.0480, N = 5SE +/- 0.0101, N = 3SE +/- 0.0145, N = 4SE +/- 0.0823, N = 7SE +/- 0.0339, N = 619.968818.806310.48339.830616.758614.61458.86337.98291. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total TimeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025Min: 19.94 / Avg: 19.97 / Max: 20Min: 18.8 / Avg: 18.81 / Max: 18.82Min: 10.27 / Avg: 10.48 / Max: 10.71Min: 9.73 / Avg: 9.83 / Max: 10Min: 16.74 / Avg: 16.76 / Max: 16.78Min: 14.57 / Avg: 14.61 / Max: 14.64Min: 8.66 / Avg: 8.86 / Max: 9.25Min: 7.86 / Avg: 7.98 / Max: 8.091. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025SE +/- 0.07, N = 15SE +/- 0.01, N = 12SE +/- 0.01, N = 12SE +/- 0.02, N = 15SE +/- 0.04, N = 15SE +/- 0.01, N = 12SE +/- 0.01, N = 12SE +/- 0.01, N = 1218.7718.8518.8518.8118.5318.5918.5918.561. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power510152025Min: 17.76 / Avg: 18.77 / Max: 18.9Min: 18.79 / Avg: 18.85 / Max: 18.88Min: 18.81 / Avg: 18.85 / Max: 18.88Min: 18.59 / Avg: 18.81 / Max: 18.85Min: 17.95 / Avg: 18.53 / Max: 18.62Min: 18.56 / Avg: 18.59 / Max: 18.62Min: 18.55 / Avg: 18.59 / Max: 18.62Min: 18.49 / Avg: 18.56 / Max: 18.61. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215SE +/- 0.01, N = 10SE +/- 0.03, N = 10SE +/- 0.01, N = 10SE +/- 0.01, N = 10SE +/- 0.05, N = 10SE +/- 0.01, N = 10SE +/- 0.01, N = 10SE +/- 0.01, N = 1011.7011.6911.6911.6711.4811.5511.5311.521. (CC) gcc options: -fvisibility=hidden -O2 -lm
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215Min: 11.68 / Avg: 11.7 / Max: 11.73Min: 11.4 / Avg: 11.69 / Max: 11.74Min: 11.64 / Avg: 11.69 / Max: 11.72Min: 11.56 / Avg: 11.67 / Max: 11.72Min: 11.07 / Avg: 11.48 / Max: 11.58Min: 11.51 / Avg: 11.55 / Max: 11.58Min: 11.47 / Avg: 11.53 / Max: 11.56Min: 11.49 / Avg: 11.52 / Max: 11.561. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power3691215SE +/- 0.19, N = 15SE +/- 0.17, N = 15SE +/- 0.21, N = 15SE +/- 0.20, N = 15SE +/- 0.10, N = 15SE +/- 0.18, N = 15SE +/- 0.15, N = 15SE +/- 0.20, N = 1511.7611.6910.3410.1511.6012.069.9610.211. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power48121620Min: 11.11 / Avg: 11.76 / Max: 13.07Min: 10.97 / Avg: 11.69 / Max: 12.93Min: 9.47 / Avg: 10.34 / Max: 11.88Min: 9.59 / Avg: 10.15 / Max: 12.13Min: 11.37 / Avg: 11.6 / Max: 12.95Min: 11.47 / Avg: 12.06 / Max: 13.45Min: 9.24 / Avg: 9.96 / Max: 11.76Min: 9.06 / Avg: 10.21 / Max: 11.641. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.19130.38260.57390.76520.9565SE +/- 0.00, N = 13SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.720.720.850.840.780.830.830.831. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 0.69 / Avg: 0.72 / Max: 0.76Min: 0.71 / Avg: 0.72 / Max: 0.73Min: 0.84 / Avg: 0.85 / Max: 0.85Min: 0.84 / Avg: 0.84 / Max: 0.84Min: 0.78 / Avg: 0.78 / Max: 0.78Min: 0.83 / Avg: 0.83 / Max: 0.84Min: 0.83 / Avg: 0.83 / Max: 0.83Min: 0.82 / Avg: 0.83 / Max: 0.831. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.10350.2070.31050.4140.5175SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.360.360.460.460.410.450.460.451. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7EPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power12345Min: 0.36 / Avg: 0.36 / Max: 0.36Min: 0.35 / Avg: 0.36 / Max: 0.38Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.46 / Max: 0.46Min: 0.45 / Avg: 0.45 / Max: 0.451. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -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 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2P71421283522.8422.8521.9322.2925.9423.1931.671. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2P71421283531.2130.3220.9821.2028.5225.1422.881. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2P306090120150102.78110.84109.42106.44131.29120.42129.441. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2P60120180240300297.87298.39129.81129.17246.66237.94111.571. (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

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654 2PEPYC 9654 2P - Power612182430SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 11SE +/- 0.23, N = 3SE +/- 0.35, N = 3SE +/- 0.23, N = 726.6026.3825.1725.3724.9624.831. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654 2PEPYC 9654 2P - Power612182430Min: 26.47 / Avg: 26.6 / Max: 26.73Min: 26.19 / Avg: 26.38 / Max: 26.59Min: 23.65 / Avg: 25.17 / Max: 25.92Min: 24.92 / Avg: 25.37 / Max: 25.64Min: 24.33 / Avg: 24.96 / Max: 25.52Min: 23.71 / Avg: 24.83 / Max: 25.581. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654 2PEPYC 9654 2P - Power48121620SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 15SE +/- 0.22, N = 1213.9113.9812.5612.7413.1712.781. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654 2PEPYC 9654 2P - Power48121620Min: 13.89 / Avg: 13.91 / Max: 13.92Min: 13.87 / Avg: 13.98 / Max: 14.08Min: 12.5 / Avg: 12.56 / Max: 12.64Min: 12.51 / Avg: 12.74 / Max: 12.89Min: 11.52 / Avg: 13.17 / Max: 13.63Min: 11.64 / Avg: 12.78 / Max: 13.941. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654 2PEPYC 9654 2P - Power0.33530.67061.00591.34121.6765SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 41.491.491.461.451.451.461. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 1.49 / Avg: 1.49 / Max: 1.49Min: 1.48 / Avg: 1.49 / Max: 1.5Min: 1.45 / Avg: 1.46 / Max: 1.46Min: 1.44 / Avg: 1.45 / Max: 1.47Min: 1.43 / Avg: 1.45 / Max: 1.47Min: 1.44 / Avg: 1.46 / Max: 1.471. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654 2PEPYC 9654 2P - Power0.11930.23860.35790.47720.5965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.530.530.520.520.520.521. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 0.52 / Avg: 0.53 / Max: 0.53Min: 0.52 / Avg: 0.53 / Max: 0.53Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.51 / Avg: 0.52 / Max: 0.52Min: 0.51 / Avg: 0.52 / Max: 0.521. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.15070.30140.45210.60280.7535SE +/- 0.001014, N = 7SE +/- 0.000630, N = 7SE +/- 0.002491, N = 7SE +/- 0.003117, N = 7SE +/- 0.000897, N = 7SE +/- 0.001009, N = 7SE +/- 0.003944, N = 15SE +/- 0.003698, N = 150.5976980.5859130.4394040.4386930.6698030.6101190.5298380.488721MIN: 0.56MIN: 0.57MIN: 0.37MIN: 0.36MIN: 0.6MIN: 0.58MIN: 0.44MIN: 0.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power246810Min: 0.59 / Avg: 0.6 / Max: 0.6Min: 0.58 / Avg: 0.59 / Max: 0.59Min: 0.43 / Avg: 0.44 / Max: 0.45Min: 0.43 / Avg: 0.44 / Max: 0.45Min: 0.67 / Avg: 0.67 / Max: 0.67Min: 0.61 / Avg: 0.61 / Max: 0.62Min: 0.5 / Avg: 0.53 / Max: 0.55Min: 0.47 / Avg: 0.49 / Max: 0.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.0860.1720.2580.3440.43SE +/- 0.000785, N = 7SE +/- 0.000585, N = 7SE +/- 0.001079, N = 7SE +/- 0.002431, N = 15SE +/- 0.001445, N = 7SE +/- 0.001337, N = 7SE +/- 0.002791, N = 7SE +/- 0.003853, N = 150.2818450.2600690.2942290.2841250.2907280.2751940.3821590.351182MIN: 0.25MIN: 0.24MIN: 0.22MIN: 0.21MIN: 0.27MIN: 0.25MIN: 0.28MIN: 0.271. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power12345Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.29 / Avg: 0.29 / Max: 0.3Min: 0.26 / Avg: 0.28 / Max: 0.3Min: 0.29 / Avg: 0.29 / Max: 0.3Min: 0.27 / Avg: 0.28 / Max: 0.28Min: 0.37 / Avg: 0.38 / Max: 0.4Min: 0.33 / Avg: 0.35 / Max: 0.381. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power0.09940.19880.29820.39760.497SE +/- 0.001053, N = 7SE +/- 0.000790, N = 7SE +/- 0.002017, N = 7SE +/- 0.002384, N = 15SE +/- 0.001543, N = 7SE +/- 0.001518, N = 7SE +/- 0.001212, N = 7SE +/- 0.003312, N = 70.4005310.3971860.3599650.3529900.3944560.3751840.4415670.386561MIN: 0.38MIN: 0.38MIN: 0.29MIN: 0.29MIN: 0.37MIN: 0.35MIN: 0.34MIN: 0.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - PowerEPYC 9654 2PEPYC 9654 2P - Power12345Min: 0.4 / Avg: 0.4 / Max: 0.41Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.36 / Avg: 0.36 / Max: 0.37Min: 0.33 / Avg: 0.35 / Max: 0.36Min: 0.39 / Avg: 0.39 / Max: 0.4Min: 0.37 / Avg: 0.38 / Max: 0.38Min: 0.44 / Avg: 0.44 / Max: 0.45Min: 0.38 / Avg: 0.39 / Max: 0.411. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.11, N = 389.0389.1088.2088.0587.5289.50
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100Min: 88.67 / Avg: 89.03 / Max: 89.29Min: 88.88 / Avg: 89.1 / Max: 89.31Min: 87.74 / Avg: 88.2 / Max: 88.5Min: 87.85 / Avg: 88.05 / Max: 88.37Min: 87.2 / Avg: 87.52 / Max: 87.91Min: 89.29 / Avg: 89.5 / Max: 89.62

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 311.2311.2211.3311.3511.4211.17
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power3691215Min: 11.19 / Avg: 11.23 / Max: 11.27Min: 11.19 / Avg: 11.22 / Max: 11.25Min: 11.29 / Avg: 11.33 / Max: 11.39Min: 11.31 / Avg: 11.35 / Max: 11.38Min: 11.37 / Avg: 11.42 / Max: 11.46Min: 11.15 / Avg: 11.17 / Max: 11.19

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power120240360480600SE +/- 0.57, N = 3SE +/- 0.48, N = 3SE +/- 0.61, N = 3SE +/- 2.06, N = 3SE +/- 1.28, N = 3SE +/- 1.13, N = 3262.96281.83509.13557.55316.56336.60
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power100200300400500Min: 261.82 / Avg: 262.96 / Max: 263.6Min: 280.89 / Avg: 281.83 / Max: 282.4Min: 507.97 / Avg: 509.13 / Max: 510.04Min: 554.7 / Avg: 557.55 / Max: 561.55Min: 314.05 / Avg: 316.56 / Max: 318.26Min: 334.48 / Avg: 336.6 / Max: 338.33

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power306090120150SE +/- 0.23, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.41, N = 3SE +/- 0.55, N = 3SE +/- 0.50, N = 3121.43113.41125.42114.56151.40142.33
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power306090120150Min: 121.17 / Avg: 121.43 / Max: 121.9Min: 113.16 / Avg: 113.41 / Max: 113.77Min: 125.19 / Avg: 125.42 / Max: 125.7Min: 113.74 / Avg: 114.56 / Max: 115.01Min: 150.67 / Avg: 151.4 / Max: 152.47Min: 141.54 / Avg: 142.33 / Max: 143.24

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power4080120160200SE +/- 0.47, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.60, N = 3SE +/- 0.35, N = 3SE +/- 0.52, N = 3172.18172.26167.07168.25189.88196.20
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power4080120160200Min: 171.49 / Avg: 172.18 / Max: 173.09Min: 171.75 / Avg: 172.26 / Max: 172.72Min: 166.77 / Avg: 167.07 / Max: 167.66Min: 167.34 / Avg: 168.25 / Max: 169.4Min: 189.19 / Avg: 189.88 / Max: 190.31Min: 195.49 / Avg: 196.2 / Max: 197.2

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1.34512.69024.03535.38046.7255SE +/- 0.0160, N = 3SE +/- 0.0095, N = 3SE +/- 0.0103, N = 3SE +/- 0.0211, N = 3SE +/- 0.0098, N = 3SE +/- 0.0133, N = 35.80205.79945.97825.93695.26315.0933
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power246810Min: 5.77 / Avg: 5.8 / Max: 5.83Min: 5.78 / Avg: 5.8 / Max: 5.82Min: 5.96 / Avg: 5.98 / Max: 5.99Min: 5.9 / Avg: 5.94 / Max: 5.97Min: 5.25 / Avg: 5.26 / Max: 5.28Min: 5.07 / Avg: 5.09 / Max: 5.11

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power2004006008001000SE +/- 0.71, N = 3SE +/- 1.32, N = 3SE +/- 0.91, N = 3SE +/- 3.40, N = 3SE +/- 2.07, N = 3SE +/- 1.04, N = 3520.75557.26996.361090.99626.04666.25
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power2004006008001000Min: 519.6 / Avg: 520.75 / Max: 522.06Min: 555.13 / Avg: 557.26 / Max: 559.67Min: 995.23 / Avg: 996.36 / Max: 998.15Min: 1084.5 / Avg: 1090.99 / Max: 1096.02Min: 622.68 / Avg: 626.04 / Max: 629.81Min: 664.17 / Avg: 666.25 / Max: 667.45

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 3SE +/- 0.11, N = 361.3857.4064.1258.5376.6071.96
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1530456075Min: 61.24 / Avg: 61.38 / Max: 61.53Min: 57.15 / Avg: 57.4 / Max: 57.62Min: 64.02 / Avg: 64.12 / Max: 64.21Min: 58.29 / Avg: 58.53 / Max: 58.86Min: 76.12 / Avg: 76.6 / Max: 77.01Min: 71.81 / Avg: 71.96 / Max: 72.18

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power60120180240300SE +/- 0.30, N = 3SE +/- 0.76, N = 3SE +/- 0.47, N = 3SE +/- 0.50, N = 3SE +/- 0.43, N = 3SE +/- 0.23, N = 3252.55255.83256.65255.74192.24192.52
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power50100150200250Min: 252.12 / Avg: 252.55 / Max: 253.12Min: 254.65 / Avg: 255.83 / Max: 257.26Min: 255.89 / Avg: 256.65 / Max: 257.5Min: 255.08 / Avg: 255.74 / Max: 256.73Min: 191.57 / Avg: 192.24 / Max: 193.03Min: 192.24 / Avg: 192.52 / Max: 192.98

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1.172.343.514.685.85SE +/- 0.0046, N = 3SE +/- 0.0116, N = 3SE +/- 0.0072, N = 3SE +/- 0.0077, N = 3SE +/- 0.0115, N = 3SE +/- 0.0062, N = 33.95773.90673.89413.90805.19985.1923
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power246810Min: 3.95 / Avg: 3.96 / Max: 3.96Min: 3.89 / Avg: 3.91 / Max: 3.92Min: 3.88 / Avg: 3.89 / Max: 3.91Min: 3.89 / Avg: 3.91 / Max: 3.92Min: 5.18 / Avg: 5.2 / Max: 5.22Min: 5.18 / Avg: 5.19 / Max: 5.2

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power400800120016002000SE +/- 0.93, N = 3SE +/- 0.74, N = 3SE +/- 0.15, N = 3SE +/- 1.89, N = 3SE +/- 0.42, N = 3SE +/- 0.46, N = 3843.37879.221615.511739.261014.621133.41
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power30060090012001500Min: 842.04 / Avg: 843.37 / Max: 845.15Min: 877.79 / Avg: 879.22 / Max: 880.24Min: 1615.3 / Avg: 1615.51 / Max: 1615.79Min: 1735.76 / Avg: 1739.26 / Max: 1742.26Min: 1014.11 / Avg: 1014.62 / Max: 1015.45Min: 1132.5 / Avg: 1133.41 / Max: 1133.9

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1122334455SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 337.8936.3539.5536.7347.2542.29
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1020304050Min: 37.8 / Avg: 37.89 / Max: 37.95Min: 36.3 / Avg: 36.35 / Max: 36.41Min: 39.55 / Avg: 39.55 / Max: 39.55Min: 36.65 / Avg: 36.73 / Max: 36.82Min: 47.22 / Avg: 47.25 / Max: 47.27Min: 42.24 / Avg: 42.29 / Max: 42.32

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power918273645SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 326.4426.5826.1126.3935.5737.25
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power816243240Min: 26.42 / Avg: 26.44 / Max: 26.47Min: 26.56 / Avg: 26.58 / Max: 26.61Min: 26.01 / Avg: 26.11 / Max: 26.24Min: 26.25 / Avg: 26.39 / Max: 26.48Min: 35.51 / Avg: 35.57 / Max: 35.69Min: 37.15 / Avg: 37.25 / Max: 37.4

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power918273645SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 337.8237.6238.2937.8828.1126.84
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power816243240Min: 37.78 / Avg: 37.82 / Max: 37.84Min: 37.57 / Avg: 37.62 / Max: 37.65Min: 38.1 / Avg: 38.29 / Max: 38.45Min: 37.76 / Avg: 37.88 / Max: 38.08Min: 28.01 / Avg: 28.11 / Max: 28.16Min: 26.73 / Avg: 26.84 / Max: 26.92

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1632486480SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.31, N = 3SE +/- 0.03, N = 335.6636.9870.0573.5142.6949.10
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1428425670Min: 35.54 / Avg: 35.66 / Max: 35.74Min: 36.96 / Avg: 36.98 / Max: 37.01Min: 69.74 / Avg: 70.05 / Max: 70.23Min: 73.46 / Avg: 73.51 / Max: 73.6Min: 42.1 / Avg: 42.69 / Max: 43.14Min: 49.05 / Avg: 49.1 / Max: 49.14

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100SE +/- 0.38, N = 3SE +/- 0.12, N = 3SE +/- 0.43, N = 3SE +/- 0.94, N = 3SE +/- 0.29, N = 3SE +/- 0.13, N = 392.6893.3491.5090.94101.65102.65
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100Min: 91.93 / Avg: 92.68 / Max: 93.11Min: 93.11 / Avg: 93.34 / Max: 93.53Min: 90.95 / Avg: 91.5 / Max: 92.35Min: 89.15 / Avg: 90.94 / Max: 92.33Min: 101.08 / Avg: 101.65 / Max: 102Min: 102.47 / Avg: 102.65 / Max: 102.9

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power3691215SE +/- 0.0441, N = 3SE +/- 0.0141, N = 3SE +/- 0.0509, N = 3SE +/- 0.1144, N = 3SE +/- 0.0277, N = 3SE +/- 0.0122, N = 310.783310.706110.920910.99039.83289.7375
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power3691215Min: 10.73 / Avg: 10.78 / Max: 10.87Min: 10.69 / Avg: 10.71 / Max: 10.73Min: 10.82 / Avg: 10.92 / Max: 10.99Min: 10.82 / Avg: 10.99 / Max: 11.21Min: 9.8 / Avg: 9.83 / Max: 9.89Min: 9.71 / Avg: 9.74 / Max: 9.75

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power150300450600750SE +/- 0.26, N = 3SE +/- 0.30, N = 3SE +/- 0.32, N = 3SE +/- 0.55, N = 3SE +/- 0.33, N = 3SE +/- 0.50, N = 3329.12358.43629.11694.62401.20428.44
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power120240360480600Min: 328.6 / Avg: 329.12 / Max: 329.41Min: 357.99 / Avg: 358.43 / Max: 359Min: 628.64 / Avg: 629.11 / Max: 629.73Min: 693.52 / Avg: 694.62 / Max: 695.25Min: 400.69 / Avg: 401.2 / Max: 401.8Min: 427.52 / Avg: 428.44 / Max: 429.26

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power306090120150SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 397.0989.13101.5191.94119.41111.75
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100Min: 97.01 / Avg: 97.09 / Max: 97.26Min: 88.97 / Avg: 89.13 / Max: 89.27Min: 101.41 / Avg: 101.51 / Max: 101.57Min: 91.87 / Avg: 91.94 / Max: 92.06Min: 119.23 / Avg: 119.41 / Max: 119.57Min: 111.54 / Avg: 111.75 / Max: 112.03

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power4080120160200SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.33, N = 3189.26189.93188.04189.73192.31199.58
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power4080120160200Min: 189.15 / Avg: 189.26 / Max: 189.42Min: 189.69 / Avg: 189.93 / Max: 190.13Min: 187.72 / Avg: 188.04 / Max: 188.21Min: 189.58 / Avg: 189.73 / Max: 190Min: 192.19 / Avg: 192.31 / Max: 192.52Min: 199 / Avg: 199.58 / Max: 200.15

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1.19552.3913.58654.7825.9775SE +/- 0.0022, N = 3SE +/- 0.0035, N = 3SE +/- 0.0045, N = 3SE +/- 0.0039, N = 3SE +/- 0.0029, N = 3SE +/- 0.0082, N = 35.27905.26085.31345.26595.19605.0062
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power246810Min: 5.27 / Avg: 5.28 / Max: 5.28Min: 5.26 / Avg: 5.26 / Max: 5.27Min: 5.31 / Avg: 5.31 / Max: 5.32Min: 5.26 / Avg: 5.27 / Max: 5.27Min: 5.19 / Avg: 5.2 / Max: 5.2Min: 4.99 / Avg: 5.01 / Max: 5.02

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power2004006008001000SE +/- 0.64, N = 3SE +/- 0.23, N = 3SE +/- 1.74, N = 3SE +/- 2.55, N = 3SE +/- 0.82, N = 3SE +/- 0.57, N = 3364.70388.32710.90776.30447.55499.75
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power140280420560700Min: 363.81 / Avg: 364.7 / Max: 365.94Min: 387.9 / Avg: 388.32 / Max: 388.69Min: 707.59 / Avg: 710.9 / Max: 713.5Min: 772.32 / Avg: 776.3 / Max: 781.04Min: 445.98 / Avg: 447.55 / Max: 448.77Min: 498.84 / Avg: 499.75 / Max: 500.81

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 3SE +/- 0.13, N = 387.5682.2989.8182.26107.0195.85
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100Min: 87.22 / Avg: 87.56 / Max: 87.81Min: 82.18 / Avg: 82.29 / Max: 82.42Min: 89.43 / Avg: 89.81 / Max: 90.23Min: 81.76 / Avg: 82.26 / Max: 82.7Min: 106.71 / Avg: 107.01 / Max: 107.35Min: 95.6 / Avg: 95.85 / Max: 96.02

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power918273645SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 326.4426.4926.1426.2835.6637.15
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power816243240Min: 26.34 / Avg: 26.44 / Max: 26.59Min: 26.37 / Avg: 26.49 / Max: 26.64Min: 26.11 / Avg: 26.14 / Max: 26.18Min: 26.17 / Avg: 26.28 / Max: 26.43Min: 35.48 / Avg: 35.66 / Max: 35.95Min: 37.01 / Avg: 37.15 / Max: 37.24

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power918273645SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 337.8137.7438.2538.0428.0426.91
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power816243240Min: 37.61 / Avg: 37.81 / Max: 37.95Min: 37.54 / Avg: 37.74 / Max: 37.92Min: 38.19 / Avg: 38.25 / Max: 38.29Min: 37.83 / Avg: 38.04 / Max: 38.21Min: 27.81 / Avg: 28.04 / Max: 28.18Min: 26.84 / Avg: 26.91 / Max: 27.01

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1632486480SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.47, N = 3SE +/- 0.26, N = 3SE +/- 0.36, N = 3SE +/- 0.04, N = 335.6936.9669.6273.1242.5248.98
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1428425670Min: 35.63 / Avg: 35.69 / Max: 35.76Min: 36.95 / Avg: 36.96 / Max: 36.98Min: 68.7 / Avg: 69.62 / Max: 70.27Min: 72.85 / Avg: 73.12 / Max: 73.64Min: 42.11 / Avg: 42.52 / Max: 43.24Min: 48.91 / Avg: 48.98 / Max: 49.05

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/. 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 2022.10.13Model: Bird Strike on WindshieldEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power4080120160200SE +/- 0.17, N = 3SE +/- 0.31, N = 3SE +/- 0.22, N = 3SE +/- 0.19, N = 3SE +/- 0.70, N = 3SE +/- 0.79, N = 3109.32108.19165.94166.46119.94111.28
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on WindshieldEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power306090120150Min: 108.98 / Avg: 109.32 / Max: 109.49Min: 107.6 / Avg: 108.19 / Max: 108.65Min: 165.51 / Avg: 165.94 / Max: 166.24Min: 166.14 / Avg: 166.46 / Max: 166.79Min: 118.82 / Avg: 119.94 / Max: 121.23Min: 109.99 / Avg: 111.28 / Max: 112.71

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 350.1450.2880.0679.9966.8161.52
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1530456075Min: 50.09 / Avg: 50.14 / Max: 50.23Min: 50.23 / Avg: 50.28 / Max: 50.34Min: 79.88 / Avg: 80.06 / Max: 80.18Min: 79.92 / Avg: 79.99 / Max: 80.07Min: 66.73 / Avg: 66.81 / Max: 66.87Min: 61.24 / Avg: 61.52 / Max: 61.78

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power612182430SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 323.1322.7817.4816.6423.0920.40
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power510152025Min: 23.11 / Avg: 23.13 / Max: 23.15Min: 22.63 / Avg: 22.78 / Max: 22.93Min: 17.42 / Avg: 17.48 / Max: 17.55Min: 16.5 / Avg: 16.64 / Max: 16.84Min: 22.83 / Avg: 23.09 / Max: 23.49Min: 20.29 / Avg: 20.4 / Max: 20.57

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1632486480SE +/- 0.26, N = 3SE +/- 0.27, N = 3SE +/- 0.32, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.23, N = 371.1071.0473.1372.5973.7669.37
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power1428425670Min: 70.61 / Avg: 71.1 / Max: 71.5Min: 70.49 / Avg: 71.04 / Max: 71.36Min: 72.73 / Avg: 73.13 / Max: 73.77Min: 72.42 / Avg: 72.59 / Max: 72.86Min: 73.47 / Avg: 73.76 / Max: 74.05Min: 68.98 / Avg: 69.37 / Max: 69.78

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power306090120150SE +/- 0.15, N = 3SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.35, N = 3SE +/- 0.49, N = 3SE +/- 0.13, N = 3117.49117.8187.7888.54103.5990.85
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power20406080100Min: 117.29 / Avg: 117.49 / Max: 117.79Min: 117.36 / Avg: 117.81 / Max: 118.37Min: 87.55 / Avg: 87.78 / Max: 88.05Min: 87.87 / Avg: 88.54 / Max: 89.06Min: 102.98 / Avg: 103.59 / Max: 104.56Min: 90.62 / Avg: 90.85 / Max: 91.06

PostgreSQL

This is a benchmark of PostgreSQL using the integrated pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 250 - Mode: Read OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power800K1600K2400K3200K4000KSE +/- 14108.92, N = 3SE +/- 15618.98, N = 3SE +/- 23179.98, N = 3SE +/- 38023.52, N = 3SE +/- 16481.46, N = 3SE +/- 17338.24, N = 32760167275440934443403460345328613638724731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 250 - Mode: Read OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power700K1400K2100K2800K3500KMin: 2741757.66 / Avg: 2760166.73 / Max: 2787891.93Min: 2731624.79 / Avg: 2754409.03 / Max: 2784308.34Min: 3409652.64 / Avg: 3444340.38 / Max: 3488320.79Min: 3402478.17 / Avg: 3460344.73 / Max: 3532009.26Min: 3265584.84 / Avg: 3286136.25 / Max: 3318731.13Min: 3843061.89 / Avg: 3872472.98 / Max: 3903087.171. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power0.02050.0410.06150.0820.1025SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.0910.0910.0730.0720.0760.0651. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power12345Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.07 / Avg: 0.07 / Max: 0.07Min: 0.07 / Avg: 0.07 / Max: 0.07Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.06 / Avg: 0.06 / Max: 0.071. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 500 - Mode: Read OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power800K1600K2400K3200K4000KSE +/- 13108.55, N = 3SE +/- 6219.97, N = 3SE +/- 20578.11, N = 3SE +/- 38847.19, N = 3SE +/- 3064.84, N = 3SE +/- 16283.20, N = 32717872272279434390453464865323601938181311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 500 - Mode: Read OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power700K1400K2100K2800K3500KMin: 2694713.6 / Avg: 2717872.38 / Max: 2740093.91Min: 2710440.64 / Avg: 2722793.91 / Max: 2730240.03Min: 3398928.33 / Avg: 3439045.45 / Max: 3467062.58Min: 3390795.27 / Avg: 3464865.19 / Max: 3522211.43Min: 3229928.1 / Avg: 3236019.18 / Max: 3239659.59Min: 3798554.93 / Avg: 3818130.62 / Max: 3850457.811. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average LatencyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power0.04140.08280.12420.16560.207SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.1840.1830.1450.1440.1540.1311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average LatencyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power12345Min: 0.18 / Avg: 0.18 / Max: 0.19Min: 0.18 / Avg: 0.18 / Max: 0.18Min: 0.14 / Avg: 0.15 / Max: 0.15Min: 0.14 / Avg: 0.14 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.13 / Avg: 0.13 / Max: 0.131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power800K1600K2400K3200K4000KSE +/- 5489.82, N = 3SE +/- 12477.20, N = 3SE +/- 34621.78, N = 3SE +/- 41178.99, N = 4SE +/- 21432.95, N = 3SE +/- 8254.16, N = 32648375264065433600703411434313562637014621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power600K1200K1800K2400K3000KMin: 2638033.27 / Avg: 2648374.99 / Max: 2656739.75Min: 2622900.06 / Avg: 2640653.69 / Max: 2664717.59Min: 3319657.67 / Avg: 3360070.28 / Max: 3428970.71Min: 3333167.14 / Avg: 3411433.73 / Max: 3527525.54Min: 3098566.53 / Avg: 3135625.81 / Max: 3172812.13Min: 3685271.47 / Avg: 3701462.32 / Max: 3712348.021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power0.02140.04280.06420.08560.107SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 4SE +/- 0.001, N = 3SE +/- 0.000, N = 30.0940.0950.0740.0740.0800.0671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power12345Min: 0.09 / Avg: 0.09 / Max: 0.1Min: 0.09 / Avg: 0.09 / Max: 0.1Min: 0.07 / Avg: 0.07 / Max: 0.08Min: 0.07 / Avg: 0.07 / Max: 0.08Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.07 / Avg: 0.07 / Max: 0.071. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power800K1600K2400K3200K4000KSE +/- 21803.70, N = 3SE +/- 9277.57, N = 3SE +/- 28561.38, N = 12SE +/- 35856.09, N = 4SE +/- 5336.89, N = 3SE +/- 7182.94, N = 32601026261477032564423314790312041437003951. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power600K1200K1800K2400K3000KMin: 2568940.31 / Avg: 2601025.72 / Max: 2642643.79Min: 2604375.45 / Avg: 2614770.37 / Max: 2633278.7Min: 3047379.35 / Avg: 3256442.2 / Max: 3397098.65Min: 3233298.18 / Avg: 3314789.77 / Max: 3399714.18Min: 3109776.56 / Avg: 3120414.48 / Max: 3126490.51Min: 3689300.93 / Avg: 3700395.23 / Max: 3713846.251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power0.04320.08640.12960.17280.216SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 12SE +/- 0.002, N = 4SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1920.1910.1540.1510.1600.1351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyEPYC 9554EPYC 9554 - PowerEPYC 9554 2PEPYC 9554 2P - PowerEPYC 9654EPYC 9654 - Power12345Min: 0.19 / Avg: 0.19 / Max: 0.2Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.14 / Avg: 0.14 / Max: 0.141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

206 Results Shown

GPAW
GROMACS
NAMD
Graph500:
  26:
    bfs median_TEPS
    bfs max_TEPS
    sssp median_TEPS
    sssp max_TEPS
High Performance Conjugate Gradient
WRF
RELION
Algebraic Multi-Grid Benchmark
Xcompact3d Incompact3d:
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
  X3D-benchmarking input.i3d
LULESH
Pennant:
  leblancbig
  sedovbig
miniFE
ACES DGEMM
NWChem
NAS Parallel Benchmarks:
  BT.C
  EP.C
  EP.D
  FT.C
  LU.C
  SP.B
  SP.C
  IS.D
  MG.C
  CG.C
Rodinia
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
ASKAP:
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
LeelaChessZero
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Gem5 Compilation
Timed Godot Game Engine Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed Mesa Compilation
Timed MPlayer Compilation
Timed Node.js Compilation
Timed CPython Compilation:
  Default
  Released Build, PGO + LTO Optimized
Timed Wasmer Compilation
Build2
DaCapo Benchmark
7-Zip Compression:
  Compression Rating
  Decompression Rating
Zstd Compression:
  19 - Compression Speed
  19, Long Mode - Decompression Speed
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
C-Ray
POV-Ray
Embree:
  Pathtracer - Asian Dragon
  Pathtracer - Crown
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Crown
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160
  RT.ldr_alb_nrm.3840x2160
  RTLightmap.hdr.4096x4096
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay Studio:
  1 - 4K - 1 - Path Tracer
  1 - 4K - 16 - Path Tracer
  1 - 4K - 32 - Path Tracer
  2 - 4K - 1 - Path Tracer
  2 - 4K - 16 - Path Tracer
  2 - 4K - 32 - Path Tracer
  3 - 4K - 1 - Path Tracer
  3 - 4K - 16 - Path Tracer
  3 - 4K - 32 - Path Tracer
LuxCoreRender:
  DLSC - CPU
  Orange Juice - CPU
Kvazaar
GraphicsMagick:
  Enhanced
  Sharpen
ASTC Encoder:
  Medium
  Thorough
  Exhaustive
Etcpak
ebizzy
Node.js Express HTTP Load Test
simdjson:
  PartialTweets
  LargeRand
  Kostya
  DistinctUserID
  TopTweet
BRL-CAD
PyBench
PyPerformance:
  crypto_pyaes
  django_template
  json_loads
  regex_compile
Numpy Benchmark
PHPBench
srsRAN:
  4G PHY_DL_Test 100 PRB SISO 64-QAM:
    eNb Mb/s
    UE Mb/s
  4G PHY_DL_Test 100 PRB SISO 256-QAM:
    UE Mb/s
  4G PHY_DL_Test 100 PRB MIMO 64-QAM:
    eNb Mb/s
    UE Mb/s
  4G PHY_DL_Test 100 PRB MIMO 256-QAM:
    eNb Mb/s
    UE Mb/s
  5G PHY_DL_NR Test 52 PRB SISO 64-QAM:
    eNb Mb/s
    UE Mb/s
  OFDM_Test:
    Samples / Second
Liquid-DSP:
  32 - 256 - 57
  64 - 256 - 57
  128 - 256 - 57
  256 - 256 - 57
PJSIP
QuantLib
OpenSSL:
  RSA4096:
    sign/s
    verify/s
  SHA256:
    byte/s
Xmrig:
  Monero - 1M
  Wownero - 1M
Sysbench
m-queens
Coremark
asmFish
Tachyon
WebP Image Encode:
  Default
  Quality 100
WebP2 Image Encode:
  Default
  Quality 75, Compression Effort 7
  Quality 95, Compression Effort 7
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
AOM AV1:
  Speed 4 Two-Pass - Bosphorus 1080p
  Speed 4 Two-Pass - Bosphorus 4K
  Speed 0 Two-Pass - Bosphorus 1080p
  Speed 0 Two-Pass - Bosphorus 4K
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
OpenRadioss:
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  Cell Phone Drop Test
  Bumper Beam
  INIVOL and Fluid Structure Interaction Drop Container
PostgreSQL:
  1 - 250 - Read Only
  1 - 250 - Read Only - Average Latency
  1 - 500 - Read Only
  1 - 500 - Read Only - Average Latency
  100 - 250 - Read Only
  100 - 250 - Read Only - Average Latency
  100 - 500 - Read Only
  100 - 500 - Read Only - Average Latency