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

Benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2411056-NE-TURINPOWE18.

AMD EPYC 5th Gen Benchmarks - Performance vs. Power DeterminismProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerAMD EPYC 9755 128-Core @ 2.70GHz (128 Cores / 256 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC2 x 1920GB KIOXIA KCD8XPUG1T92ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.10.0-phx (x86_64)GCC 13.2.0ext41920x1200AMD EPYC 9655 96-Core @ 2.60GHz (96 Cores / 192 Threads)2 x AMD EPYC 9655 96-Core @ 2.60GHz (192 Cores / 384 Threads)1520GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110Java Details- OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)Python Details- Python 3.12.2Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 5th Gen Benchmarks - Performance vs. Power Determinismbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-llvm: Ninjabuild-mesa: Time To Compilebuild-imagemagick: Time To Compileopenssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305john-the-ripper: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runmemcached: 1:100rocksdb: Rand Readspeedb: Rand Readsecuremark: SecureMark-TLScoremark: CoreMark Size 666 - Iterations Per Secondamg: wrf: conus 2.5kmmt-dgemm: Sustained Floating-Point Ratelulesh: minibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2lammps: Rhodopsin Proteinlammps: 20k Atomsm-queens: Time To Solveaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve MT - Griddingnamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsgromacs: MPI CPU - water_GMX50_barecloverleaf: clover_bm64_shortcloverleaf: clover_bm16quantlib: Multi-Threadedgpaw: Carbon Nanotubepennant: leblancbigpennant: sedovbignpb: LU.Cnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cnwchem: C240 Buckyballincompact3d: input.i3d 193 Cells Per Directionopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlyluxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyopenvkl: vklBenchmarkCPU ISPCcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionnumpy: svt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kx265: Bosphorus 4Kkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterwebp: Quality 100, Highest Compressionastcenc: Mediumastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustivegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpenliquid-dsp: 64 - 256 - 32liquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512srsran: PDSCH Processor Benchmark, Throughput Totalsrsran: PDSCH Processor Benchmark, Throughput Threadtensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - AlexNetpytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-50openvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - 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: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUonednn: Deconvolution Batch shapes_3d - CPUonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardhelsing: 14 digitstockfish: Chess Benchmarkprimesieve: 1e12primesieve: 1e13y-cruncher: 1Baircrack-ng: EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power23.344201.75513.97883.293109.561128.13288.89313.6699.86869037.72755042.3186660393313723597672402007365351470183776585074711863592944508070098414273230103230001361333698.12729.56724.6413316660.107868965808221028284054546042366.34304731770820005574.36356.40889037645.9739647.496385.9009654.576386.18355.79167.7765.49270762.874093.316464.114.244934.6227722.72922.09178.93465436.823.8222.7612604.393606385558.53194853.918647.62167026.9388208.361326.26.4780453821.4414620.597089120.3457160.3737873.6777.269.4624.0012.5029.7586.6212.7120.9413.9632.0255.176254.392754.395863910154203797531198223981223.2053191.7839179.44945.845.852.8536549081598467360.934896795.83271.924281.589118.16311.27534.2153.4253.9596.8139.1443.859.81023.7433.90701.7315110.038315.71959.6576313455403278456666784947333338151900000285546666719454.1994.0203.332271.95659.11246.242665.9243.6117.4243.83193.80329.53190777.830.48733.8087.1418679.3611232.265.628730.887.221109.7557.5731655.574774.333287.4319.3613949.894.4810557.160.51341744.199922.658643.0573073439231.55317.9688.173133016.39123.339199.60813.90782.933108.747129.00787.66313.6389.86871625.52788354.7186224966223740773306271999939029673183869855052011851553682778063550691873256473252781355000697.07729.06724.3513567376.307944000758219259994060366122915.49491231844133335545.67659.20551437688.0729601.732384.0699659.615386.38557.08669.3625.25570893.574456.51651214.531444.5773422.22322.01179.39463866.624.1282.7064624.108203383678.73197015.008449.11165446.8891585.721301.96.4571834422.85900720.279899120.25556160.7003872.3276.589.5024.2312.4129.4586.8712.7421.1614.4630.8456.524855.276155.47586219878197577321166623412229.2964196.9262184.61366.066.062.9637419202728822740.912677795.77275.540279.701121.92711.27134.3655.5356.2297.8840.9045.859.94824.1513.89709.9896113.225216.15999.9163313496432278330000085272333338261366667285723333320634.21002.6203.722323.46662.67246.592780.1443.2517.4543.77218.20292.74199930.180.46715.7289.4020954.3411890.895.39199.756.861129.2356.5834304.094802.283403.9618.6814033.954.4510716.320.48650943.975522.765341.8573154303161.45916.7468.068132331.06322.713194.47414.09384.134118.698126.33397.57812.7939.52750488.72029271.713762559190753901014490147283515182713445994030879054096342136156273628502378232377391039333740.48755.69763.3912513777.695772153746077696504397154550652.09896430767396676147.33443.19376535503.6855141.082205.6436705.147268.20645.22256.1037.32955898.859791.116317.012.491474.1889117.63221.49175.97341991.727.1883.1365175.478708315803.13154462.837042.53144599.3864867.571334.17.0955534024.69787424.071752114.28075195.1475679.2091.0312.9732.6716.8040.68116.4716.5516.8012.7424.1941.246042.126642.2030869138343096610251629535888172.9986148.7896136.80355.175.192.4728147628916266001.131325870.03249.291258.613107.42211.28535.7044.4044.9390.0831.9035.959.62322.6684.27566.056681.684411.57577.1053284364320293723333363276000006204633333215276666723913.01076.5210.141897.88671.97240.072083.4246.7119.2246.52144.65331.17173358.470.32686.9169.7213972.578123.125.846173.617.68840.0556.9823288.263506.592393.8619.9510064.754.678266.340.72792849.885120.044359.2862191895432.04224.2156.589141244.57822.286187.32113.78182.535114.801125.34794.81112.7019.43354719.22136538.114289037133056670358173153038042717314043980971109081726662876182082660132499452497451042000750.83774.74771.8713608100.126073502956276331214459084746235.87909430859770006043.20646.11930335779.6495509.927220.3976885.049275.40248.09859.2266.69057262.659791.116337.913.133204.3573818.39721.56175.97353852.526.4892.7677685.210719323478.52153956.627285.36144307.5266383.291292.57.1740517622.94106222.2558113.8233192.7864975.3890.0712.2131.4716.1838.33111.3215.9418.2913.2425.7043.936644.463143.846180912875258099551518833652180.8031155.2267144.65715.495.492.6629767821966787951.070883863.99265.769273.179112.51711.68136.0147.7048.1996.0434.1338.4010.09124.0694.26605.277188.035712.43447.6316303408354302253333366400333336514833333218836666725992.51071.4215.322028.18693.23246.032221.8548.8419.7448.52166.34288.00185028.400.31711.2667.3415518.658699.175.446722.707.04881.1254.3725130.853680.242550.6818.6910744.484.378640.540.67267048.814520.490254.4662352408591.83421.8066.430153599.30718.012117.46612.14476.43384.492112.43467.19812.2859.045100988.84049226.327497263760010720475905029495546933702682968686683179611654471712213867056734604164555972001500721.43735.48741.4313798695.25115505897911998719184401268395282.20935459612303333241.00479.59726369266.9307528.093301.12410753.051430.12266.53575.7884.60710616511452513058.427.179607.9366129.47320.67230.37690813.623.7701.8693503.021763589945.23329784.5413161.52237346.22109363.451299.43.4886748422.79757216.816965133.9042888.28909365.6149.736.6616.619.0120.6461.509.6124.3412.3935.3677.534474.199574.4966451714914290532844816987262.0596220.1741229.69064.544.402.224634107850610160400.892009871.91250.394253.989109.18411.18635.4570.6572.3886.1751.6854.244.28598.5116130.017521.396113.0322334520475295673333390931000008926633333356136666715913.21056.9184.471989.89511.28238.492616.5926.3211.5726.98292.34163.97210660.460.21470.1332.6329775.2116407.952.9211417.024.191491.9532.1349343.566976.194918.449.7518938.652.5311384.880.61093925.686039.137529.9874268398811.19612.4778.39517.835115.27112.12776.11086.974112.96366.46212.3499.077108838.94229820.428335531852311222093631330381428515732796096165297179825463159312225333203374742654724982005400728.91736.37747.9514267081.69120142052112413539564421068763837.02232759743583333244.37386.21805769836.3507742.991309.72011200.133448.00569.48478.4514.42910923411808713000.728.762538.1507231.07020.39231.77710294.623.1411.8002692.857291610380.70334250.9713249.55245220.03110940.1412543.4457211921.59263516.157032114.9892686.21336463.0948.436.4016.038.5619.8459.239.3625.8512.4338.5381.550577.319477.4721426673113459506802115981264.4782223.9959242.28424.684.782.324847109546610709350.882792872.29266.963274.240113.91811.40935.6474.8876.3190.6753.8156.254.27607.8989140.996922.578714.0169343563499302143333394504333339213033333359813333317008.11066.8190.342066.99514.70238.822690.5026.5411.6227.38318.19150.68212321.990.181545.6631.0433372.0617500.382.7412204.113.931548.7030.9555029.537387.045259.259.1220214.972.3711848.720.56154328.606834.955227.6744412177671.10911.2478.329OpenBenchmarking.org

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power612182430SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 13SE +/- 0.11, N = 1423.3423.3422.7122.2918.0117.84

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.2204.9467.5EPYC 9755 - Power44.2217.9500.9EPYC 965541.9176.0356.2EPYC 9655 - Power41.7186.6399.7EPYC 9655 2P43.0155.8366.9EPYC 9655 2P - Power43.4168.5401.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor130260390520650

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power4080120160200SE +/- 0.88, N = 3SE +/- 1.23, N = 3SE +/- 0.40, N = 3SE +/- 0.42, N = 3SE +/- 0.66, N = 3SE +/- 0.83, N = 3201.76199.61194.47187.32117.47115.27

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4383.8473.4EPYC 9755 - Power44.6407.3504.5EPYC 965541.8306.1360.3EPYC 9655 - Power42.3339.4401.2EPYC 9655 2P43.9274.4370.2EPYC 9655 2P - Power43.3300.7401.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor130260390520650

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 7.0Time To CompileEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power48121620SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 413.9813.9114.0913.7812.1412.13

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7172.5483.8EPYC 9755 - Power44.4177.1499.7EPYC 965542.7163.1363.5EPYC 9655 - Power41.9172.4397.7EPYC 9655 2P43.4146.4368.8EPYC 9655 2P - Power43.6156.5399.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 7.0CPU Power Consumption Monitor130260390520650

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.74, N = 3SE +/- 0.82, N = 383.2982.9384.1382.5476.4376.11

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5220.4490.6EPYC 9755 - Power44.4223.4501.5EPYC 965542.0202.8359.9EPYC 9655 - Power42.0214.7400.4EPYC 9655 2P43.8178.0368.1EPYC 9655 2P - Power43.5189.8400.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption Monitor130260390520650

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To CompileEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power306090120150SE +/- 0.21, N = 3SE +/- 0.66, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.33, N = 3SE +/- 1.18, N = 3109.56108.75118.70114.8084.4986.97

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5304.2485.2EPYC 9755 - Power44.5314.7501.2EPYC 965542.1265.8361.5EPYC 9655 - Power21.9293.0401.3EPYC 9655 2P44.0231.6365.7EPYC 9655 2P - Power43.1272.3401.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 21.7.2CPU Power Consumption Monitor130260390520650

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power306090120150SE +/- 1.52, N = 3SE +/- 0.32, N = 3SE +/- 1.17, N = 3SE +/- 1.57, N = 3SE +/- 0.25, N = 3SE +/- 0.58, N = 3128.13129.01126.33125.35112.43112.96

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4195.4485.4EPYC 9755 - Power44.4199.7502.3EPYC 965542.1176.5363.1EPYC 9655 - Power41.7185.9400.8EPYC 9655 2P43.7161.2365.0EPYC 9655 2P - Power43.6175.0400.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor130260390520650

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.32, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 388.8987.6697.5894.8167.2066.46

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4300.1488.2EPYC 9755 - Power44.6313.7501.1EPYC 965541.9263.6364.7EPYC 9655 - Power41.9283.1401.2EPYC 9655 2P43.7223.8370.1EPYC 9655 2P - Power43.5235.5402.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor130260390520650

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power48121620SE +/- 0.07, N = 4SE +/- 0.06, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 413.6713.6412.7912.7012.2912.35

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4145.0477.1EPYC 9755 - Power44.4146.8500.9EPYC 965542.0138.7351.8EPYC 9655 - Power41.8144.0397.4EPYC 9655 2P43.3132.5362.3EPYC 9655 2P - Power43.2131.4399.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 24.0CPU Power Consumption Monitor130260390520650

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3691215SE +/- 0.013, N = 5SE +/- 0.035, N = 5SE +/- 0.030, N = 5SE +/- 0.036, N = 5SE +/- 0.018, N = 5SE +/- 0.051, N = 59.8689.8689.5279.4339.0459.077

Timed ImageMagick Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5132.6448.6EPYC 9755 - Power44.4134.6496.6EPYC 965542.0128.8352.3EPYC 9655 - Power41.8132.5398.1EPYC 9655 2P43.3122.8332.7EPYC 9655 2P - Power43.2123.1382.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed ImageMagick Compilation 6.9.0CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20K40K60K80K100KSE +/- 15.58, N = 3SE +/- 126.11, N = 3SE +/- 21.59, N = 3SE +/- 138.06, N = 3SE +/- 85.49, N = 3SE +/- 311.78, N = 369037.771625.550488.754719.2100988.8108838.91. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power900K1800K2700K3600K4500KSE +/- 331.00, N = 3SE +/- 1824.02, N = 3SE +/- 365.28, N = 3SE +/- 1158.12, N = 3SE +/- 1533.00, N = 3SE +/- 3942.78, N = 32755042.32788354.72029271.72136538.14049226.34229820.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3K6K9K12K15K6287.446052.606366.615988.2712199.1611251.39

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.9438.2478.0EPYC 9755 - Power44.6460.7498.8EPYC 965542.2318.7339.7EPYC 9655 - Power41.6356.8391.3EPYC 9655 2P43.6331.9364.3EPYC 9655 2P - Power43.2375.9398.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power60000M120000M180000M240000M300000MSE +/- 76407988.26, N = 3SE +/- 109659436.53, N = 3SE +/- 343661637.22, N = 3SE +/- 143659903.05, N = 3SE +/- 182816536.21, N = 3SE +/- 384856106.88, N = 31866603933131862249662231376255919071428903713302749726376002833553185231. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power200M400M600M800M1000M401864487.87395591946.00413951053.97386706631.41792326368.61745431096.10

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8464.5492.1EPYC 9755 - Power44.6470.8501.0EPYC 965542.4332.5351.5EPYC 9655 - Power42.0369.5400.4EPYC 9655 2P44.3347.0368.4EPYC 9655 2P - Power44.5380.1401.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20000M40000M60000M80000M100000MSE +/- 163780192.60, N = 3SE +/- 46660762.78, N = 3SE +/- 85304308.49, N = 3SE +/- 84288798.91, N = 3SE +/- 334242164.38, N = 3SE +/- 41276678.86, N = 3723597672407407733062753901014490566703581731072047590501122209363131. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power70M140M210M280M350M161764658.87160962436.45166891800.58160210243.51311075032.43300082924.18

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0447.3471.8EPYC 9755 - Power44.6460.2481.0EPYC 965542.3323.0337.2EPYC 9655 - Power42.1353.7370.0EPYC 9655 2P44.8344.6359.9EPYC 9655 2P - Power44.3374.0390.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power700000M1400000M2100000M2800000M3500000MSE +/- 679943093.73, N = 3SE +/- 2715663243.10, N = 3SE +/- 1295376232.10, N = 3SE +/- 1180292536.08, N = 3SE +/- 325870485.63, N = 3SE +/- 1171219798.83, N = 32007365351470199993902967314728351518271530380427173294955469337030381428515731. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2000M4000M6000M8000M10000M4699217928.954630384700.634714124877.734600647138.648845889467.798590267340.49

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7427.2447.2EPYC 9755 - Power44.9431.9451.9EPYC 965542.6312.4329.1EPYC 9655 - Power42.2332.6348.8EPYC 9655 2P44.3333.4351.2EPYC 9655 2P - Power44.0353.7368.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power600000M1200000M1800000M2400000M3000000MSE +/- 2482404044.78, N = 3SE +/- 836488131.91, N = 3SE +/- 243566219.34, N = 3SE +/- 1492761099.56, N = 3SE +/- 3021247793.93, N = 3SE +/- 1439419832.95, N = 31837765850747183869855052013445994030871404398097110268296868668327960961652971. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2000M4000M6000M8000M10000M4339501704.864242525981.404358545440.704217409857.518113891234.737877555574.35

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7423.5443.3EPYC 9755 - Power44.6433.4460.2EPYC 965542.3308.5324.7EPYC 9655 - Power42.3333.0353.4EPYC 9655 2P44.1330.7346.9EPYC 9655 2P - Power43.7354.9374.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power400000M800000M1200000M1600000M2000000MSE +/- 507390352.95, N = 3SE +/- 339596989.72, N = 3SE +/- 211781187.22, N = 3SE +/- 218675473.81, N = 3SE +/- 200687972.98, N = 3SE +/- 610791897.39, N = 311863592944501185155368277905409634213908172666287179611654471717982546315931. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1100M2200M3300M4400M5500M2532659749.392526667355.762590512735.182480917067.734948590692.924738784471.83

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0468.4501.0EPYC 9755 - Power44.5469.1501.0EPYC 965542.6349.5368.4EPYC 9655 - Power42.0366.1400.3EPYC 9655 2P44.3363.0379.1EPYC 9655 2P - Power44.8379.5400.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power300000M600000M900000M1200000M1500000MSE +/- 89801965.81, N = 3SE +/- 403700022.50, N = 3SE +/- 139220101.42, N = 3SE +/- 245600409.78, N = 3SE +/- 567847363.95, N = 3SE +/- 840797691.41, N = 3807009841427806355069187615627362850618208266013122138670567312225333203371. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power700M1400M2100M2800M3500M1746071268.121727334073.191790086074.831717528135.793416509479.963243864254.54

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7462.2499.0EPYC 9755 - Power44.5466.8500.0EPYC 965542.3343.9362.0EPYC 9655 - Power42.1359.9392.3EPYC 9655 2P45.2357.5379.0EPYC 9655 2P - Power44.3376.9399.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power100K200K300K400K500KSE +/- 53.35, N = 3SE +/- 32.03, N = 3SE +/- 7.33, N = 3SE +/- 83.70, N = 3SE +/- 1429.13, N = 3SE +/- 2042.80, N = 33230103256472378232499454604164742651. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power30060090012001500778.22774.58792.83764.241478.571400.61

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxXeon 6766E 2P Full108445497EPYC 9655 2P44311353EPYC 9655 2P - Power45338385EPYC 965542301338EPYC 9655 - Power42328371EPYC 975545413469EPYC 9755 - Power44421477Intel Xeon 6980P 2P1178921079OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor2004006008001000

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power100K200K300K400K500KSE +/- 45.32, N = 3SE +/- 191.99, N = 3SE +/- 23.62, N = 3SE +/- 424.21, N = 3SE +/- 4890.26, N = 4SE +/- 4308.74, N = 33230003252782377392497454555974724981. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power30060090012001500782.32772.62789.71761.351463.851398.98

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power400K800K1200K1600K2000KSE +/- 1201.85, N = 3SE +/- 1527.53, N = 3SE +/- 1855.92, N = 3SE +/- 1000.00, N = 3SE +/- 18489.19, N = 6SE +/- 20771.62, N = 51361333135500010393331042000200150020054001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power130026003900520065003396.833375.513348.483341.696164.886123.95

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.9400.8455.8EPYC 9755 - Power44.8401.4454.4EPYC 965542.4310.4352.3EPYC 9655 - Power42.1311.8351.7EPYC 9655 2P44.4324.7367.1EPYC 9655 2P - Power45.1327.5368.5OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor120240360480600

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power160320480640800SE +/- 6.12, N = 3SE +/- 5.79, N = 3SE +/- 1.08, N = 3SE +/- 1.82, N = 3SE +/- 2.73, N = 3SE +/- 6.47, N = 3698.12697.07740.48750.83721.43728.91MIN: 80.86 / MAX: 6666.67MIN: 82.42 / MAX: 5454.55MIN: 68.57 / MAX: 8571.43MIN: 73.53 / MAX: 7500MIN: 107.91 / MAX: 7500MIN: 105.45 / MAX: 6666.67

ClickHouse

100M Rows Hits Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2004006008001000SE +/- 5.27, N = 3SE +/- 5.61, N = 3SE +/- 5.05, N = 3SE +/- 4.08, N = 3SE +/- 5.84, N = 3SE +/- 8.92, N = 3729.56729.06755.69774.74735.48736.37MIN: 81.63 / MAX: 7500MIN: 84.27 / MAX: 7500MIN: 69.93 / MAX: 7500MIN: 73.71 / MAX: 8571.43MIN: 110.29 / MAX: 7500MIN: 113.42 / MAX: 6666.67

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power170340510680850SE +/- 4.70, N = 3SE +/- 0.97, N = 3SE +/- 0.75, N = 3SE +/- 2.15, N = 3SE +/- 2.38, N = 3SE +/- 3.66, N = 3724.64724.35763.39771.87741.43747.95MIN: 85.11 / MAX: 6666.67MIN: 81.52 / MAX: 6000MIN: 69.36 / MAX: 8571.43MIN: 73.53 / MAX: 8571.43MIN: 105.26 / MAX: 7500MIN: 110.5 / MAX: 7500

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1.03842.07683.11524.15365.1924.4314.4204.6154.5614.5324.552

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4163.5407.0EPYC 9755 - Power44.2163.9418.1EPYC 965541.9165.4302.9EPYC 9655 - Power41.9169.2357.0EPYC 9655 2P44.1163.6297.5EPYC 9655 2P - Power43.9164.3317.3OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.12.3.5CPU Power Consumption Monitor110220330440550

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3M6M9M12M15MSE +/- 136953.60, N = 3SE +/- 127571.69, N = 3SE +/- 51257.47, N = 3SE +/- 107977.86, N = 3SE +/- 32915.29, N = 3SE +/- 58584.80, N = 313316660.1013567376.3012513777.6913608100.1213798695.2514267081.691. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power11K22K33K44K55K37790.6238436.4047921.2443796.4750454.7545342.51

Memcached

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5352.4409.0EPYC 9755 - Power44.4353.0414.0EPYC 965542.2261.1299.8EPYC 9655 - Power42.0310.7360.6EPYC 9655 2P44.1273.5317.0EPYC 9655 2P - Power44.4314.7365.7OpenBenchmarking.orgWatts, Fewer Is BetterMemcached 1.6.19CPU Power Consumption Monitor110220330440550

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power300M600M900M1200M1500MSE +/- 5260460.78, N = 3SE +/- 646946.28, N = 3SE +/- 4322874.61, N = 3SE +/- 463544.96, N = 3SE +/- 3941921.08, N = 3SE +/- 3806633.26, N = 3786896580794400075577215374607350295115505897912014205211. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power800K1600K2400K3200K4000K1894471.541905830.821918650.381878922.223561086.453514357.17

RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5415.4446.2EPYC 9755 - Power44.7416.8448.3EPYC 965542.4300.8323.1EPYC 9655 - Power42.3323.2345.2EPYC 9655 2P44.9324.4346.7EPYC 9655 2P - Power44.3341.9364.5OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 9.0CPU Power Consumption Monitor120240360480600

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power300M600M900M1200M1500MSE +/- 707549.54, N = 3SE +/- 300359.50, N = 3SE +/- 696066.18, N = 3SE +/- 707531.18, N = 3SE +/- 1997067.74, N = 3SE +/- 1881332.70, N = 3822102828821925999607769650627633121119987191812413539561. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power800K1600K2400K3200K4000K1969975.351967243.951998985.071950554.663681905.183636125.58

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.3417.3445.7EPYC 9755 - Power44.5417.8448.9EPYC 965542.3304.0324.6EPYC 9655 - Power42.1321.8343.8EPYC 9655 2P44.1325.9347.4EPYC 9655 2P - Power44.2341.4365.7OpenBenchmarking.orgWatts, Fewer Is BetterSpeedb 2.7CPU Power Consumption Monitor120240360480600

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power100K200K300K400K500KSE +/- 809.78, N = 3SE +/- 1638.17, N = 3SE +/- 5047.30, N = 3SE +/- 206.31, N = 3SE +/- 3644.76, N = 3SE +/- 4246.49, N = 34054544060364397154459084401264421061. (CC) gcc options: -pedantic -O3

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks Per Watt, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power110022003300440055004437.204428.714993.065124.054042.384042.45

SecureMark

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.391.493.9EPYC 9755 - Power44.291.794.2EPYC 965541.988.192.3EPYC 9655 - Power41.687.089.9EPYC 9655 2P44.1108.9112.7EPYC 9655 2P - Power43.6109.4112.9OpenBenchmarking.orgWatts, Fewer Is BetterSecureMark 1.0.4CPU Power Consumption Monitor4080120160200

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2M4M6M8M10MSE +/- 10789.95, N = 3SE +/- 17530.74, N = 3SE +/- 8964.82, N = 3SE +/- 24173.23, N = 3SE +/- 47498.43, N = 3SE +/- 40995.91, N = 36042366.346122915.494550652.104746235.888395282.218763837.021. (CC) gcc options: -O2 -lrt" -lrt

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power6K12K18K24K30K14585.7414350.0914303.0313758.8127913.2125953.11

Coremark

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7414.3479.8EPYC 9755 - Power44.2426.7492.5EPYC 965541.8318.2348.1EPYC 9655 - Power41.5345.0390.8EPYC 9655 2P44.0300.8367.3EPYC 9655 2P - Power44.0337.7399.3OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor130260390520650

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1300M2600M3900M5200M6500MSE +/- 6342005.91, N = 3SE +/- 2174206.39, N = 3SE +/- 4068843.09, N = 3SE +/- 3204898.91, N = 3SE +/- 18981834.93, N = 3SE +/- 16519338.83, N = 33177082000318441333330767396673085977000596123033359743583331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power5M10M15M20M25M9501967.559428172.2211562385.409807760.7921951337.6819282777.64

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4334.4438.6EPYC 9755 - Power44.2337.8463.0EPYC 965541.9266.1338.1EPYC 9655 - Power41.6314.6400.5EPYC 9655 2P43.5271.6350.0EPYC 9655 2P - Power43.7309.8401.2OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor120240360480600

WRF

Input: conus 2.5km

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power130026003900520065005574.365545.686147.336043.213241.003244.371. (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

WRF

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power90180270360450Min: 44.4 / Avg: 440.28 / Max: 480.05Min: 45.44 / Avg: 452.12 / Max: 499.62Min: 41.97 / Avg: 340.67 / Max: 360.85Min: 41.87 / Avg: 386.4 / Max: 400.07Min: 43.94 / Avg: 352.06 / Max: 367.99Min: 45.25 / Avg: 393.61 / Max: 400.44

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.18, N = 8SE +/- 0.20, N = 8SE +/- 0.15, N = 7SE +/- 0.15, N = 7SE +/- 0.17, N = 9SE +/- 0.18, N = 1056.4159.2143.1946.1279.6086.221. (CC) gcc options: -O3 -march=native -fopenmp

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.11180.22360.33540.44720.5590.2460.2380.2190.2080.4970.481

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6229.3419.5EPYC 9755 - Power44.7248.3472.4EPYC 965542.2197.4328.0EPYC 9655 - Power42.1221.5384.0EPYC 9655 2P44.1160.2323.3EPYC 9655 2P - Power44.1179.1389.6OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor120240360480600

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power15K30K45K60K75KSE +/- 450.61, N = 15SE +/- 426.75, N = 15SE +/- 535.60, N = 15SE +/- 570.38, N = 15SE +/- 1045.33, N = 15SE +/- 1071.97, N = 1537645.9737688.0735503.6935779.6569266.9369836.351. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power70140210280350129.24126.88166.40154.61306.25283.75

LULESH

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5291.3459.2EPYC 9755 - Power44.6297.0481.2EPYC 965542.1213.4333.7EPYC 9655 - Power41.9231.4369.4EPYC 9655 2P44.1226.2340.2EPYC 9655 2P - Power44.2246.1384.6OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor120240360480600

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2K4K6K8K10KSE +/- 66.65, N = 11SE +/- 19.04, N = 10SE +/- 36.48, N = 8SE +/- 30.12, N = 8SE +/- 207.48, N = 15SE +/- 227.27, N = 139647.509601.735141.085509.937528.097742.991. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power80160240320400SE +/- 2.67, N = 11SE +/- 0.76, N = 10SE +/- 1.46, N = 8SE +/- 1.20, N = 8SE +/- 8.30, N = 15SE +/- 9.09, N = 13385.90384.07205.64220.40301.12309.721. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.48240.96481.44721.92962.4122.1442.0581.1941.1881.9541.886

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4180.0458.2EPYC 9755 - Power44.5186.6459.8EPYC 965542.2172.2314.3EPYC 9655 - Power41.9185.5349.7EPYC 9655 2P44.0154.1346.7EPYC 9655 2P - Power43.8164.2373.1OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor120240360480600

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2K4K6K8K10KSE +/- 76.86, N = 4SE +/- 98.24, N = 4SE +/- 42.42, N = 3SE +/- 53.97, N = 3SE +/- 132.52, N = 15SE +/- 107.41, N = 159654.589659.626705.156885.0510753.0511200.131. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power100200300400500SE +/- 3.07, N = 4SE +/- 3.93, N = 4SE +/- 1.70, N = 3SE +/- 2.16, N = 3SE +/- 5.30, N = 15SE +/- 4.30, N = 15386.18386.39268.21275.40430.12448.011. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.35550.7111.06651.4221.77751.0871.1000.9480.9211.5801.564

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7355.4459.9EPYC 9755 - Power44.5351.1458.7EPYC 965542.0282.8341.8EPYC 9655 - Power41.8298.9373.3EPYC 9655 2P44.2272.2357.3EPYC 9655 2P - Power44.2286.4378.8OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor120240360480600

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1530456075SE +/- 0.31, N = 10SE +/- 0.45, N = 10SE +/- 0.32, N = 15SE +/- 0.32, N = 11SE +/- 0.29, N = 7SE +/- 0.65, N = 755.7957.0945.2248.1066.5469.481. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.10710.21420.32130.42840.53550.4460.4560.4440.4760.4590.452

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5125.0352.9EPYC 9755 - Power44.5125.3355.7EPYC 965542.0101.8272.7EPYC 9655 - Power42.0101.1290.0EPYC 9655 2P44.2144.9285.7EPYC 9655 2P - Power44.3153.9305.7OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor100200300400500

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.06, N = 3SE +/- 0.38, N = 3SE +/- 0.52, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.11, N = 367.7869.3656.1059.2375.7978.451. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.05130.10260.15390.20520.25650.1470.1450.1680.1590.2280.211

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.3461.9488.1EPYC 9755 - Power44.7479.7499.8EPYC 965542.2334.9355.5EPYC 9655 - Power41.9371.7387.0EPYC 9655 2P44.1332.7359.7EPYC 9655 2P - Power44.8371.7399.2OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor130260390520650

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power246810SE +/- 0.025, N = 7SE +/- 0.018, N = 7SE +/- 0.013, N = 6SE +/- 0.031, N = 6SE +/- 0.077, N = 15SE +/- 0.073, N = 155.4925.2557.3296.6904.6074.4291. (CXX) g++ options: -fopenmp -O2 -march=native

m-queens

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7265.1441.7EPYC 9755 - Power44.7283.2488.1EPYC 965542.2215.2315.9EPYC 9655 - Power42.4244.3375.0EPYC 9655 2P22.8197.4338.4EPYC 9655 2P - Power44.2220.8391.9OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor130260390520650

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20K40K60K80K100KSE +/- 395.30, N = 3SE +/- 519.97, N = 15SE +/- 328.80, N = 3SE +/- 601.20, N = 3SE +/- 1206.67, N = 3SE +/- 1248.33, N = 370762.870893.555898.857262.6106165.0109234.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power30K60K90K120K150KSE +/- 438.43, N = 3SE +/- 308.95, N = 15SE +/- 380.83, N = 3SE +/- 380.83, N = 3SE +/- 1202.40, N = 3SE +/- 733.67, N = 374093.374456.559791.159791.1114525.0118087.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power90180270360450207.54205.38209.31178.18402.74357.39

ASKAP

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0357.0474.4EPYC 9755 - Power44.5362.5499.9EPYC 965542.0285.7357.7EPYC 9655 - Power42.4335.6399.7EPYC 9655 2P44.6284.4361.2EPYC 9655 2P - Power44.0330.4400.1OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor130260390520650

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power4K8K12K16K20KSE +/- 0.00, N = 3SE +/- 2.31, N = 3SE +/- 10.86, N = 3SE +/- 22.76, N = 3SE +/- 18.59, N = 3SE +/- 81.25, N = 316464.116512.016317.016337.913058.413000.71. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power714212835SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.02, N = 7SE +/- 0.02, N = 7SE +/- 0.05, N = 3SE +/- 0.04, N = 314.2414.5312.4913.1327.1828.76

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.04590.09180.13770.18360.22950.0660.0650.0700.0690.1940.204

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8214.8414.4EPYC 9755 - Power44.4222.9445.4EPYC 965542.1179.1318.0EPYC 9655 - Power41.9191.1348.1EPYC 9655 2P44.0139.9338.8EPYC 9655 2P - Power44.1140.8352.7OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor120240360480600

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power246810SE +/- 0.00697, N = 3SE +/- 0.01359, N = 3SE +/- 0.00164, N = 3SE +/- 0.00449, N = 3SE +/- 0.01771, N = 3SE +/- 0.08274, N = 34.622774.577344.188914.357387.936618.15072

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.01170.02340.03510.04680.05850.0160.0160.0180.0170.0510.052

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5284.4425.6EPYC 9755 - Power44.2290.0444.6EPYC 965541.8235.2336.0EPYC 9655 - Power41.8254.5359.8EPYC 9655 2P43.8154.4351.6EPYC 9655 2P - Power44.1156.9375.7OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor120240360480600

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.30, N = 3SE +/- 0.12, N = 322.7322.2217.6318.4029.4731.071. (CXX) g++ options: -O3 -lm

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.02570.05140.07710.10280.12850.0650.0620.0660.0630.1140.109

GROMACS

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6349.2487.2EPYC 9755 - Power44.4359.2499.8EPYC 965542.2266.4347.6EPYC 9655 - Power41.9293.2383.6EPYC 9655 2P44.0258.2370.6EPYC 9655 2P - Power44.3283.9399.7OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2024CPU Power Consumption Monitor130260390520650

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power510152025SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 1522.0922.0121.4921.5620.6720.391. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6333.7398.9EPYC 9755 - Power44.5339.1404.1EPYC 965542.1278.3330.1EPYC 9655 - Power42.1323.3390.7EPYC 9655 2P44.7256.9320.6EPYC 9655 2P - Power44.0274.1354.5OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor110220330440550

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power50100150200250SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 1.12, N = 3SE +/- 0.80, N = 3178.93179.39175.97175.97230.37231.771. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0388.4407.2EPYC 9755 - Power44.6391.5411.8EPYC 965542.6325.6337.6EPYC 9655 - Power41.9382.8396.0EPYC 9655 2P44.5286.2308.4EPYC 9655 2P - Power44.2306.6320.0OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeaf 1.3CPU Power Consumption Monitor110220330440550

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power150K300K450K600K750KSE +/- 401.79, N = 3SE +/- 359.42, N = 3SE +/- 414.37, N = 3SE +/- 316.52, N = 3SE +/- 310.97, N = 3SE +/- 723.87, N = 3465436.8463866.6341991.7353852.5690813.6710294.61. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power50010001500200025001146.371137.921136.471116.732158.992113.91

QuantLib

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4406.0483.0EPYC 9755 - Power44.4407.6495.7EPYC 965541.9300.9345.9EPYC 9655 - Power41.9316.9399.5EPYC 9655 2P43.8320.0360.5EPYC 9655 2P - Power44.0336.0397.6OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor130260390520650

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power612182430SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 323.8224.1327.1926.4923.7723.141. (CC) gcc options: -shared -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6396.6491.5EPYC 9755 - Power44.6406.6499.3EPYC 965542.6307.5363.6EPYC 9655 - Power42.1335.8399.9EPYC 9655 2P44.4284.9376.8EPYC 9655 2P - Power44.8307.6399.5OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 23.6CPU Power Consumption Monitor130260390520650

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.70571.41142.11712.82283.5285SE +/- 0.045208, N = 15SE +/- 0.059060, N = 15SE +/- 0.087065, N = 15SE +/- 0.064100, N = 15SE +/- 0.032998, N = 15SE +/- 0.022392, N = 152.7612602.7064623.1365172.7677681.8693501.8002691. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6210.5475.6EPYC 9755 - Power44.5210.5481.8EPYC 965542.5171.4339.9EPYC 9655 - Power42.0171.1370.8EPYC 9655 2P44.1170.6358.9EPYC 9655 2P - Power44.2173.1389.3OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor120240360480600

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1.23272.46543.69814.93086.1635SE +/- 0.073388, N = 15SE +/- 0.054249, N = 15SE +/- 0.054129, N = 15SE +/- 0.045321, N = 15SE +/- 0.042880, N = 15SE +/- 0.036612, N = 154.3936064.1082035.4787085.2107193.0217632.8572911. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5248.9471.5EPYC 9755 - Power44.4243.8486.1EPYC 965542.5209.0339.7EPYC 9655 - Power42.2219.6373.2EPYC 9655 2P44.0184.9359.5EPYC 9655 2P - Power44.2199.0391.0OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power130K260K390K520K650KSE +/- 5529.34, N = 15SE +/- 4917.65, N = 15SE +/- 1611.44, N = 6SE +/- 1953.53, N = 6SE +/- 3426.11, N = 6SE +/- 6165.72, N = 6385558.53383678.73315803.13323478.52589945.23610380.701. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power70014002100280035001391.901335.301431.331287.443149.313031.25

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8277.0487.2EPYC 9755 - Power44.4287.3499.7EPYC 965542.6220.6341.4EPYC 9655 - Power42.0251.3399.4EPYC 9655 2P44.2187.3355.9EPYC 9655 2P - Power44.4201.4399.7OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power70K140K210K280K350KSE +/- 878.07, N = 5SE +/- 629.86, N = 5SE +/- 367.39, N = 5SE +/- 412.37, N = 5SE +/- 2950.53, N = 5SE +/- 1406.41, N = 6194853.91197015.00154462.83153956.62329784.54334250.971. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power400800120016002000644.42638.95619.92549.181690.671501.60

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8302.4488.2EPYC 9755 - Power44.5308.3496.9EPYC 965542.3249.2352.0EPYC 9655 - Power41.3280.3399.6EPYC 9655 2P44.2195.1373.6EPYC 9655 2P - Power44.3222.6399.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3K6K9K12K15KSE +/- 55.66, N = 6SE +/- 80.37, N = 15SE +/- 41.67, N = 6SE +/- 64.97, N = 6SE +/- 91.78, N = 15SE +/- 116.48, N = 158647.628449.117042.537285.3613161.5213249.551. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2040608010040.0438.1136.7535.3078.1973.45

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5216.0421.2EPYC 9755 - Power44.4221.7441.8EPYC 965542.4191.6344.5EPYC 9655 - Power42.1206.4392.9EPYC 9655 2P44.1168.3338.8EPYC 9655 2P - Power44.1180.4382.3OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power50K100K150K200K250KSE +/- 1302.88, N = 15SE +/- 1273.22, N = 15SE +/- 1820.15, N = 15SE +/- 1911.09, N = 15SE +/- 3226.17, N = 15SE +/- 4683.24, N = 15167026.93165446.88144599.38144307.52237346.22245220.031. (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 4.1.6

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power4008001200160020001197.561148.151272.731175.301822.651806.34

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4139.5414.0EPYC 9755 - Power44.3144.1453.7EPYC 965542.1113.6329.5EPYC 9655 - Power42.0122.8380.2EPYC 9655 2P44.1130.2317.6EPYC 9655 2P - Power44.0135.8355.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20K40K60K80K100KSE +/- 618.06, N = 15SE +/- 716.44, N = 10SE +/- 750.66, N = 15SE +/- 526.39, N = 15SE +/- 1014.34, N = 15SE +/- 946.98, N = 1588208.3691585.7264867.5766383.29109363.45110940.141. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power160320480640800491.65507.34420.91388.54750.69710.80

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.3179.4483.4EPYC 9755 - Power44.2180.5499.5EPYC 965542.0154.1349.3EPYC 9655 - Power42.0170.9399.6EPYC 9655 2P44.1145.7357.3EPYC 9655 2P - Power43.9156.1397.3OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power300600900120015001326.21301.91334.11292.51299.41254.01. (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

NWChem

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power90180270360450Min: 44.44 / Avg: 477.37 / Max: 499.23Min: 44.28 / Avg: 483.97 / Max: 499.76Min: 42.34 / Avg: 346.39 / Max: 369.48Min: 41.84 / Avg: 375.23 / Max: 399.59Min: 43.79 / Avg: 360.39 / Max: 378.4Min: 44.02 / Avg: 391.49 / Max: 399.98

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power246810SE +/- 0.01274608, N = 6SE +/- 0.01593429, N = 6SE +/- 0.03188987, N = 5SE +/- 0.07400503, N = 5SE +/- 0.00772957, N = 6SE +/- 0.01525858, N = 66.478045386.457183447.095553407.174051763.488674843.445721191. (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

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7273.8467.0EPYC 9755 - Power44.4292.4495.0EPYC 965542.6217.1341.8EPYC 9655 - Power42.2242.8378.0EPYC 9655 2P44.7190.6354.3EPYC 9655 2P - Power45.2210.2399.6OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor130260390520650

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power61218243021.4422.8624.7022.9422.8021.591. (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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power61218243020.6020.2824.0722.2616.8216.161. (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

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4396.4492.6EPYC 9755 - Power44.7402.6499.6EPYC 965542.3304.0363.0EPYC 9655 - Power41.7331.4399.7EPYC 9655 2P44.0289.0370.3EPYC 9655 2P - Power43.8311.1399.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor130260390520650

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power306090120150120.35120.26114.28113.82133.90114.991. (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

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power4080120160200160.37160.70195.15192.7988.2986.211. (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

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6450.2489.9EPYC 9755 - Power44.4464.4499.3EPYC 965542.3331.2360.0EPYC 9655 - Power41.9365.5399.5EPYC 9655 2P44.7340.4378.5EPYC 9655 2P - Power44.4363.6400.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor130260390520650

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 373.6772.3279.2075.3865.6163.09

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.9423.7488.8EPYC 9755 - Power44.5433.8499.7EPYC 965543.0322.6361.0EPYC 9655 - Power42.0356.6400.0EPYC 9655 2P44.6315.8368.4EPYC 9655 2P - Power44.3338.7399.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor130260390520650

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.11, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 377.2676.5891.0390.0749.7348.43

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.9364.1489.3EPYC 9755 - Power44.9380.5500.0EPYC 965542.7296.9363.4EPYC 9655 - Power42.4310.5399.7EPYC 9655 2P44.1258.6371.8EPYC 9655 2P - Power22.3274.9399.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor130260390520650

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3691215SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 6SE +/- 0.02, N = 69.469.5012.9712.216.666.40

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7317.6461.2EPYC 9755 - Power44.7320.3473.0EPYC 965542.5254.7335.4EPYC 9655 - Power42.1270.1361.2EPYC 9655 2P44.2224.0359.7EPYC 9655 2P - Power44.6235.2382.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power816243240SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 424.0024.2332.6731.4716.6116.03

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8395.6467.1EPYC 9755 - Power45.0397.0466.5EPYC 965542.6302.8340.2EPYC 9655 - Power42.1317.4359.2EPYC 9655 2P44.2290.2361.7EPYC 9655 2P - Power44.3306.6382.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power48121620SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 5SE +/- 0.02, N = 512.5012.4116.8016.189.018.56

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.9338.6471.9EPYC 9755 - Power44.7343.2478.1EPYC 965542.5267.3340.6EPYC 9655 - Power42.0284.7366.4EPYC 9655 2P44.4241.7367.1EPYC 9655 2P - Power44.2259.0392.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power918273645SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 329.7529.4540.6838.3320.6419.84

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7395.0458.0EPYC 9755 - Power45.0403.2469.4EPYC 965542.6299.9333.6EPYC 9655 - Power42.2322.5361.6EPYC 9655 2P44.5292.6358.9EPYC 9655 2P - Power44.4310.6387.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power306090120150SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 386.6286.87116.47111.3261.5059.23

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.1446.0487.0EPYC 9755 - Power44.6453.1491.2EPYC 965542.8334.1355.5EPYC 9655 - Power42.1358.4382.1EPYC 9655 2P44.2334.2378.2EPYC 9655 2P - Power44.4356.6401.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power48121620SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.02, N = 5SE +/- 0.05, N = 512.7112.7416.5515.949.619.36

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0350.7492.1EPYC 9755 - Power44.9357.0498.7EPYC 965542.8286.9368.7EPYC 9655 - Power42.4302.9395.0EPYC 9655 2P44.5254.0379.6EPYC 9655 2P - Power44.5267.9400.8OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power612182430SE +/- 0.33, N = 15SE +/- 0.21, N = 3SE +/- 0.17, N = 15SE +/- 0.23, N = 15SE +/- 0.51, N = 12SE +/- 0.05, N = 320.9421.1616.8018.2924.3425.85MIN: 19.5 / MAX: 27MIN: 20.29 / MAX: 27.72MIN: 15.67 / MAX: 20.23MIN: 16.97 / MAX: 21.39MIN: 21.68 / MAX: 36.31MIN: 24.44 / MAX: 38.15

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.01760.03520.05280.07040.0880.0480.0450.0540.0510.0780.071

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6438.9482.6EPYC 9755 - Power44.5466.8501.9EPYC 965542.5312.9342.7EPYC 9655 - Power42.0356.6389.4EPYC 9655 2P43.8313.7364.7EPYC 9655 2P - Power44.6364.4401.0OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor130260390520650

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power48121620SE +/- 0.14, N = 15SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 15SE +/- 0.26, N = 1513.9614.4612.7413.2412.3912.43MIN: 6.55 / MAX: 16.95MIN: 7.35 / MAX: 16.92MIN: 6.13 / MAX: 14.49MIN: 6.48 / MAX: 15.17MIN: 5.44 / MAX: 16.29MIN: 5.65 / MAX: 16.74

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.01010.02020.03030.04040.05050.0380.0350.0440.0410.0450.039

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.9369.8444.6EPYC 9755 - Power44.9411.7490.6EPYC 965542.6286.9320.8EPYC 9655 - Power42.3323.6368.5EPYC 9655 2P44.2278.4334.1EPYC 9655 2P - Power44.4319.2381.8OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor130260390520650

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power918273645SE +/- 0.52, N = 15SE +/- 0.35, N = 15SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.53, N = 14SE +/- 0.90, N = 1532.0230.8424.1925.7035.3638.53MIN: 26.48 / MAX: 43.04MIN: 26.95 / MAX: 43.78MIN: 21.58 / MAX: 32.81MIN: 22.87 / MAX: 34.83MIN: 29.34 / MAX: 57.89MIN: 30.95 / MAX: 59.82

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.02630.05260.07890.10520.13150.0740.0680.0800.0760.1170.110

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0431.6490.9EPYC 9755 - Power44.8453.0507.1EPYC 965542.5300.7347.5EPYC 9655 - Power42.4339.5384.3EPYC 9655 2P44.5302.8370.2EPYC 9655 2P - Power44.7349.9401.8OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor130260390520650

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 355.1856.5241.2543.9477.5381.55

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.05380.10760.16140.21520.2690.1300.1270.1340.1280.2390.228

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7425.8477.0EPYC 9755 - Power44.7445.3499.5EPYC 965542.7307.6338.1EPYC 9655 - Power42.1343.7379.2EPYC 9655 2P44.3325.0364.5EPYC 9655 2P - Power44.5357.9400.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor130260390520650

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 354.3955.2842.1344.4674.2077.32

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.05150.1030.15450.2060.25750.1270.1240.1350.1270.2290.217

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0429.8449.3EPYC 9755 - Power44.9445.3466.5EPYC 965542.6311.6323.3EPYC 9655 - Power42.2351.4365.7EPYC 9655 2P44.5323.7340.1EPYC 9655 2P - Power44.5357.0374.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor120240360480600

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 354.4055.4842.2043.8574.5077.47

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.0560.1120.1680.2240.280.1440.1430.1510.1370.2490.235

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8376.8448.6EPYC 9755 - Power44.8386.8466.2EPYC 965542.6279.1323.8EPYC 9655 - Power42.1320.2371.2EPYC 9655 2P45.0299.7339.8EPYC 9655 2P - Power44.8329.1374.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2004006008001000SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3639621869809451426

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8371.8463.5EPYC 9755 - Power44.5391.3485.4EPYC 965542.7279.6339.9EPYC 9655 - Power42.1311.4383.4EPYC 9655 2P44.3299.4365.0EPYC 9655 2P - Power44.4330.6400.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor130260390520650

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3K6K9K12K15KSE +/- 3.71, N = 3SE +/- 5.49, N = 3SE +/- 19.97, N = 3SE +/- 20.87, N = 3SE +/- 10.60, N = 3SE +/- 8.19, N = 3101549878138341287571496731

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7358.2462.2EPYC 9755 - Power44.6419.2488.6EPYC 965542.7299.1339.3EPYC 9655 - Power42.1316.7385.0EPYC 9655 2P45.0318.2364.2EPYC 9655 2P - Power44.5343.4401.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor130260390520650

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power7K14K21K28K35KSE +/- 39.68, N = 3SE +/- 10.68, N = 3SE +/- 52.17, N = 3SE +/- 33.02, N = 3SE +/- 16.68, N = 3SE +/- 23.46, N = 3203791975730966258091429013459

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.9385.4463.9EPYC 9755 - Power44.5401.6488.0EPYC 965542.5248.9338.6EPYC 9655 - Power42.3334.6384.7EPYC 9655 2P44.4321.6364.2EPYC 9655 2P - Power44.8349.9400.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor130260390520650

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2004006008001000SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 37537321025955532506

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8373.6459.9EPYC 9755 - Power44.4392.5485.6EPYC 965542.5282.1344.1EPYC 9655 - Power42.3315.1387.0EPYC 9655 2P44.6302.4366.1EPYC 9655 2P - Power44.3329.9401.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor130260390520650

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3K6K9K12K15KSE +/- 14.19, N = 3SE +/- 3.61, N = 3SE +/- 14.29, N = 3SE +/- 15.94, N = 3SE +/- 11.68, N = 3SE +/- 6.66, N = 31198211666162951518884488021

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7371.8469.9EPYC 9755 - Power44.5387.0483.8EPYC 965542.6281.5342.6EPYC 9655 - Power42.1314.0390.6EPYC 9655 2P44.8314.3366.2EPYC 9655 2P - Power44.5322.4401.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power8K16K24K32K40KSE +/- 32.92, N = 3SE +/- 33.06, N = 3SE +/- 11.68, N = 3SE +/- 49.64, N = 3SE +/- 31.56, N = 3SE +/- 37.47, N = 3239812341235888336521698715981

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7395.1468.2EPYC 9755 - Power45.0414.0485.1EPYC 965542.7263.3342.2EPYC 9655 - Power42.1289.0388.6EPYC 9655 2P44.5303.6365.5EPYC 9655 2P - Power44.8330.9401.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power60120180240300SE +/- 0.06, N = 8SE +/- 0.05, N = 9SE +/- 0.11, N = 8SE +/- 0.07, N = 8SE +/- 2.22, N = 15SE +/- 1.39, N = 8223.21229.30173.00180.80262.06264.48MIN: 219.93 / MAX: 227.73MIN: 226.03 / MAX: 234.63MIN: 170.04 / MAX: 176.59MIN: 178.16 / MAX: 184.07MIN: 209.29 / MAX: 297.79MIN: 212.5 / MAX: 306.56

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.31640.63280.94921.26561.5820.9650.9440.8720.8211.4061.276

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7231.4467.8EPYC 9755 - Power44.5242.9501.6EPYC 965542.5198.4353.1EPYC 9655 - Power42.2220.3400.8EPYC 9655 2P44.4186.4361.8EPYC 9655 2P - Power44.7207.2399.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor130260390520650

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power50100150200250SE +/- 0.14, N = 5SE +/- 0.07, N = 5SE +/- 0.07, N = 5SE +/- 0.06, N = 5SE +/- 1.69, N = 15SE +/- 1.49, N = 15191.78196.93148.79155.23220.17224.00MIN: 188.36 / MAX: 196.2MIN: 193.84 / MAX: 201.41MIN: 146.45 / MAX: 152.13MIN: 152.81 / MAX: 158.1MIN: 192.38 / MAX: 242.25MIN: 198.29 / MAX: 258.4

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.3040.6080.9121.2161.521.0851.0450.8920.8731.3511.282

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6176.7465.2EPYC 9755 - Power44.4188.5500.2EPYC 965542.4166.7351.9EPYC 9655 - Power41.9177.8399.6EPYC 9655 2P44.1163.0360.6EPYC 9655 2P - Power44.1174.8400.8OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor130260390520650

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power50100150200250SE +/- 0.11, N = 8SE +/- 0.09, N = 8SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 1.81, N = 8SE +/- 0.54, N = 8179.45184.61136.80144.66229.69242.28MIN: 175.01 / MAX: 186.64MIN: 180.02 / MAX: 191.76MIN: 133.41 / MAX: 142.65MIN: 141.2 / MAX: 148.79MIN: 202.63 / MAX: 249.19MIN: 218.62 / MAX: 262.46

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.26660.53320.79981.06641.3330.7000.6870.6340.5991.1851.163

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5256.2473.6EPYC 9755 - Power44.3268.8500.0EPYC 965542.5215.6352.1EPYC 9655 - Power42.0241.3400.8EPYC 9655 2P44.0193.9361.5EPYC 9655 2P - Power43.8208.3400.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor130260390520650

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power246810SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.07, N = 15SE +/- 0.11, N = 155.846.065.175.494.544.68

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.00590.01180.01770.02360.02950.0240.0240.0260.0260.0240.022

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6239.9408.8EPYC 9755 - Power44.6254.2444.6EPYC 965542.4195.8313.9EPYC 9655 - Power41.9208.0343.1EPYC 9655 2P44.0192.4300.1EPYC 9655 2P - Power44.1209.5341.4OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor120240360480600

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power246810SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.06, N = 15SE +/- 0.08, N = 155.856.065.195.494.404.78

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.00590.01180.01770.02360.02950.0250.0240.0260.0260.0220.023

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6237.3409.6EPYC 9755 - Power44.4256.0440.0EPYC 965542.6197.4312.5EPYC 9655 - Power41.8209.4341.9EPYC 9655 2P44.1196.3300.5EPYC 9655 2P - Power44.2206.9333.1OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor120240360480600

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.6661.3321.9982.6643.33SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.04, N = 12SE +/- 0.04, N = 152.852.962.472.662.222.32

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.00230.00460.00690.00920.01150.0100.0090.0100.0100.0100.009

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8299.1406.1EPYC 9755 - Power44.8322.2443.8EPYC 965542.8239.3309.4EPYC 9655 - Power42.2261.6347.2EPYC 9655 2P44.1227.2292.8EPYC 9655 2P - Power44.2245.7328.2OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor120240360480600

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power10002000300040005000SE +/- 0.88, N = 3SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.58, N = 3SE +/- 4.36, N = 3365437412814297646344847MIN: 293 / MAX: 42376MIN: 305 / MAX: 43215MIN: 215 / MAX: 36394MIN: 233 / MAX: 37345MIN: 417 / MAX: 52082MIN: 445 / MAX: 53647

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power481216209.1568.8689.3418.73414.99713.978

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power90180270360450Min: 44.92 / Avg: 399.08 / Max: 477.59Min: 44.49 / Avg: 421.86 / Max: 511.84Min: 42.34 / Avg: 301.24 / Max: 356.28Min: 41.86 / Avg: 340.72 / Max: 401.18Min: 44.11 / Avg: 308.99 / Max: 365.22Min: 44.43 / Avg: 346.75 / Max: 401.45

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power200K400K600K800K1000KSE +/- 3530.77, N = 3SE +/- 3611.53, N = 3SE +/- 660.09, N = 3SE +/- 1100.58, N = 3SE +/- 6132.86, N = 3SE +/- 14562.31, N = 3908159920272762891782196107850610954661. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power200K400K600K800K1000KSE +/- 276.36, N = 3SE +/- 188.95, N = 3SE +/- 257.58, N = 3SE +/- 692.69, N = 3SE +/- 17629.29, N = 3SE +/- 16773.88, N = 3846736882274626600678795101604010709351. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power80016002400320040002269.162232.642211.882145.993560.253362.10

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7373.2482.8EPYC 9755 - Power44.5395.2499.9EPYC 965542.5283.3363.2EPYC 9655 - Power42.3316.3401.1EPYC 9655 2P44.1285.4371.8EPYC 9655 2P - Power44.4318.5401.2OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor130260390520650

Parallel BZIP2 Compression

FreeBSD-13.0-RELEASE-amd64-memstick.img Compression

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.13FreeBSD-13.0-RELEASE-amd64-memstick.img CompressionEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.25450.5090.76351.0181.2725SE +/- 0.010948, N = 15SE +/- 0.010896, N = 15SE +/- 0.014837, N = 15SE +/- 0.010945, N = 15SE +/- 0.011000, N = 15SE +/- 0.010304, N = 150.9348960.9126771.1313251.0708830.8920090.8827921. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Parallel BZIP2 Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.597.5319.0EPYC 9755 - Power44.4101.6323.4EPYC 965542.489.6271.2EPYC 9655 - Power41.894.5305.7EPYC 9655 2P44.087.4253.1EPYC 9655 2P - Power43.895.4301.1OpenBenchmarking.orgWatts, Fewer Is BetterParallel BZIP2 Compression 1.1.13CPU Power Consumption Monitor80160240320400

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2004006008001000SE +/- 1.03, N = 3SE +/- 0.85, N = 3SE +/- 0.88, N = 3SE +/- 0.97, N = 3SE +/- 2.66, N = 3SE +/- 1.07, N = 3795.83795.77870.03863.99871.91872.29

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power36912158.6038.6439.7399.8027.9827.917

Numpy Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.492.599.7EPYC 9755 - Power44.292.199.2EPYC 965542.189.396.9EPYC 9655 - Power41.588.194.7EPYC 9655 2P44.0109.2116.8EPYC 9655 2P - Power43.5110.2118.0OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor4080120160200

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power60120180240300SE +/- 7.58, N = 15SE +/- 7.89, N = 15SE +/- 6.06, N = 15SE +/- 7.29, N = 15SE +/- 6.77, N = 15SE +/- 7.49, N = 15271.92275.54249.29265.77250.39266.961. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.561.121.682.242.82.3532.3502.4892.4662.2282.237

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4115.6288.1EPYC 9755 - Power44.3117.3293.0EPYC 965542.2100.1228.1EPYC 9655 - Power41.5107.8264.9EPYC 9655 2P43.8112.4248.1EPYC 9655 2P - Power43.8119.3288.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor70140210280350

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power60120180240300SE +/- 2.17, N = 9SE +/- 2.09, N = 9SE +/- 1.90, N = 9SE +/- 2.25, N = 9SE +/- 1.78, N = 15SE +/- 2.21, N = 15281.59279.70258.61273.18253.99274.241. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.5781.1561.7342.3122.892.4212.4152.5462.5692.2932.295

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5116.3294.8EPYC 9755 - Power44.3115.8286.8EPYC 965542.3101.6233.5EPYC 9655 - Power41.7106.4268.2EPYC 9655 2P43.7110.8244.5EPYC 9655 2P - Power43.8119.5300.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor80160240320400

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power306090120150SE +/- 1.10, N = 7SE +/- 0.88, N = 11SE +/- 0.62, N = 6SE +/- 0.89, N = 6SE +/- 1.00, N = 6SE +/- 0.77, N = 15118.16121.93107.42112.52109.18113.921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.18810.37620.56430.75240.94050.7780.7720.8360.8290.7510.737

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5151.9282.0EPYC 9755 - Power44.4158.0307.1EPYC 965542.2128.6218.3EPYC 9655 - Power41.7135.7257.6EPYC 9655 2P44.0145.4236.4EPYC 9655 2P - Power43.7154.6296.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor80160240320400

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3691215SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.10, N = 411.2811.2711.2911.6811.1911.411. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.01620.03240.04860.06480.0810.0690.0690.0720.0700.0650.063

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4164.5329.5EPYC 9755 - Power44.3164.4335.4EPYC 965542.4157.8265.0EPYC 9655 - Power41.6166.2301.1EPYC 9655 2P44.0171.9261.8EPYC 9655 2P - Power44.0180.3327.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor80160240320400

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power816243240SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.25, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 334.2134.3635.7036.0135.4535.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.04730.09460.14190.18920.23650.2020.2060.2060.2030.2100.208

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6169.0217.8EPYC 9755 - Power44.8167.0217.5EPYC 965542.6173.7223.6EPYC 9655 - Power41.7177.1234.7EPYC 9655 2P43.7168.5218.1EPYC 9655 2P - Power43.9171.7223.2OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.6CPU Power Consumption Monitor60120180240300

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.06, N = 5SE +/- 0.08, N = 5SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.47, N = 14SE +/- 0.69, N = 653.4255.5344.4047.7070.6574.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.07270.14540.21810.29080.36350.1950.1860.2060.1930.3230.309

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7273.8377.9EPYC 9755 - Power44.6299.0418.6EPYC 965542.3215.5278.1EPYC 9655 - Power41.7247.1325.1EPYC 9655 2P44.4218.6319.0EPYC 9655 2P - Power44.1241.8360.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor110220330440550

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.01, N = 5SE +/- 0.03, N = 5SE +/- 0.06, N = 4SE +/- 0.09, N = 4SE +/- 0.40, N = 5SE +/- 0.50, N = 653.9556.2244.9348.1972.3876.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.07630.15260.22890.30520.38150.1970.1880.2100.1990.3390.317

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6273.6378.0EPYC 9755 - Power44.7298.3418.3EPYC 965542.7213.7276.1EPYC 9655 - Power42.2241.6325.0EPYC 9655 2P44.4213.8314.8EPYC 9655 2P - Power44.5240.5364.0OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor110220330440550

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.49, N = 7SE +/- 0.32, N = 7SE +/- 0.23, N = 6SE +/- 0.62, N = 7SE +/- 0.29, N = 6SE +/- 0.53, N = 696.8197.8890.0896.0486.1790.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.11160.22320.33480.44640.5580.4280.4240.4960.4600.4610.437

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7226.3360.3EPYC 9755 - Power44.5230.7372.1EPYC 965542.5181.6276.2EPYC 9655 - Power41.8208.9333.9EPYC 9655 2P44.2187.1277.9EPYC 9655 2P - Power44.2207.4329.4OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor100200300400500

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1224364860SE +/- 0.09, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 4SE +/- 0.17, N = 539.1440.9031.9034.1351.6853.81

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.04860.09720.14580.19440.2430.1230.1160.1320.1230.2160.196

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.3318.4408.0EPYC 9755 - Power44.5351.5455.7EPYC 965542.4240.8292.9EPYC 9655 - Power41.9276.5339.3EPYC 9655 2P44.1239.7340.3EPYC 9655 2P - Power44.4274.3374.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor120240360480600

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1326395265SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 3SE +/- 0.04, N = 4SE +/- 0.26, N = 5SE +/- 0.35, N = 543.8545.8535.9538.4054.2456.25

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.05130.10260.15390.20520.25650.1400.1320.1520.1430.2280.207

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6313.9407.2EPYC 9755 - Power44.6347.2454.6EPYC 965542.5236.0292.8EPYC 9655 - Power42.2269.3341.0EPYC 9655 2P44.4238.3336.8EPYC 9655 2P - Power44.2271.6368.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor120240360480600

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power3691215SE +/- 0.028, N = 3SE +/- 0.039, N = 3SE +/- 0.048, N = 3SE +/- 0.042, N = 39.8109.9489.62310.0911. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.01170.02340.03510.04680.05850.0460.0460.0520.049

VVenC

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5212.7338.9EPYC 9755 - Power44.3218.4348.9EPYC 965542.4184.6269.0EPYC 9655 - Power41.9206.8321.2OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.11CPU Power Consumption Monitor100200300400500

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power612182430SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 323.7424.1522.6724.071. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.0250.050.0750.10.1250.0990.0990.1110.103

VVenC

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6239.4329.0EPYC 9755 - Power44.5243.6332.0EPYC 965542.3203.5276.7EPYC 9655 - Power41.9234.6320.4OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.11CPU Power Consumption Monitor80160240320400

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.9631.9262.8893.8524.815SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 73.903.894.274.264.284.271. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.01370.02740.04110.05480.06850.0520.0520.0610.0610.0510.051

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.574.693.9EPYC 9755 - Power44.374.693.9EPYC 965542.270.591.0EPYC 9655 - Power41.970.289.9EPYC 9655 2P43.884.0111.8EPYC 9655 2P - Power43.784.4111.8OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor4080120160200

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power150300450600750SE +/- 3.94, N = 8SE +/- 6.53, N = 15SE +/- 1.30, N = 8SE +/- 1.60, N = 8SE +/- 7.51, N = 15SE +/- 6.94, N = 15701.73709.99566.06605.28598.51607.901. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1.18282.36563.54844.73125.9145.2575.2184.8794.9244.8394.558

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4133.5427.6EPYC 9755 - Power44.3136.1460.6EPYC 965542.0116.0313.9EPYC 9655 - Power41.8122.9356.9EPYC 9655 2P43.7123.7313.2EPYC 9655 2P - Power43.6133.4360.6OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor120240360480600

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power306090120150SE +/- 0.02, N = 6SE +/- 0.02, N = 6SE +/- 0.01, N = 5SE +/- 0.07, N = 5SE +/- 0.97, N = 15SE +/- 1.29, N = 15110.04113.2381.6888.04130.02141.001. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.17480.34960.52440.69920.8740.5410.5380.4580.4650.7550.777

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5203.3437.2EPYC 9755 - Power44.4210.5458.9EPYC 965542.2178.3319.1EPYC 9655 - Power41.9189.5357.4EPYC 9655 2P43.9172.3334.9EPYC 9655 2P - Power44.0181.4373.3OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor120240360480600

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power510152025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 4SE +/- 0.25, N = 415.7216.1611.5812.4321.4022.581. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.01960.03920.05880.07840.0980.0500.0490.0450.0450.0870.086

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5317.5448.4EPYC 9755 - Power44.4330.1468.7EPYC 965542.4254.7323.1EPYC 9655 - Power41.9278.7360.6EPYC 9655 2P44.2245.0344.4EPYC 9655 2P - Power43.9261.1381.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor120240360480600

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power48121620SE +/- 0.0004, N = 3SE +/- 0.0052, N = 3SE +/- 0.0012, N = 3SE +/- 0.0030, N = 3SE +/- 0.0874, N = 15SE +/- 0.1552, N = 49.65769.91637.10537.631613.032214.01691. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.01220.02440.03660.04880.0610.0300.0300.0280.0280.0540.054

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7318.6450.4EPYC 9755 - Power44.5330.8472.2EPYC 965542.6256.3324.5EPYC 9655 - Power42.4277.0361.5EPYC 9655 2P26.1243.1350.4EPYC 9655 2P - Power44.3261.7386.4OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor120240360480600

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power70140210280350SE +/- 0.58, N = 3SE +/- 1.00, N = 3SE +/- 2.08, N = 3SE +/- 0.33, N = 3SE +/- 3.56, N = 5SE +/- 2.19, N = 33133132843033343431. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.4390.8781.3171.7562.1951.5051.4821.5641.5321.9511.909

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7208.0234.1EPYC 9755 - Power44.7211.3241.1EPYC 965542.7181.6199.6EPYC 9655 - Power42.0197.8215.2EPYC 9655 2P44.2171.2190.8EPYC 9655 2P - Power44.2179.6210.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor60120180240300

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power120240360480600SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 2.08, N = 3SE +/- 1.33, N = 34554963644085205631. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.48740.97481.46221.94962.4371.4051.3341.4211.3372.1662.027

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7323.9350.4EPYC 9755 - Power44.5371.9400.5EPYC 965542.4256.1275.5EPYC 9655 - Power42.1305.1332.9EPYC 9655 2P44.2240.1272.4EPYC 9655 2P - Power44.0277.8327.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor110220330440550

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power110220330440550SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.53, N = 3SE +/- 1.76, N = 34034323203544754991. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.41380.82761.24141.65522.0691.1701.1401.1881.1241.8391.760

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0344.3371.9EPYC 9755 - Power44.6379.0406.3EPYC 965542.4269.3287.7EPYC 9655 - Power42.3314.9337.9EPYC 9655 2P45.0258.4277.0EPYC 9655 2P - Power44.2283.5312.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor110220330440550

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power600M1200M1800M2400M3000MSE +/- 233333.33, N = 3SE +/- 568624.07, N = 3SE +/- 1927289.40, N = 3SE +/- 825294.56, N = 3SE +/- 1211518.79, N = 3SE +/- 1858613.58, N = 32784566667278330000029372333333022533333295673333330214333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2M4M6M8M10M9762222.129773579.3510115911.789187017.7210123389.249206835.35

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7285.2320.1EPYC 9755 - Power44.5284.8321.2EPYC 965542.1290.4329.3EPYC 9655 - Power41.7329.0373.4EPYC 9655 2P43.6292.1338.1EPYC 9655 2P - Power43.6328.2392.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor110220330440550

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2000M4000M6000M8000M10000MSE +/- 14339494.80, N = 3SE +/- 7442296.54, N = 3SE +/- 6065476.07, N = 3SE +/- 2315407.33, N = 3SE +/- 49681015.82, N = 3SE +/- 30930100.41, N = 38494733333852723333363276000006640033333909310000094504333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power6M12M18M24M30M20115931.6319722991.2120685459.0520071736.0628121281.8027117623.59

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.2422.3487.6EPYC 9755 - Power45.0432.3488.9EPYC 965542.5305.9344.2EPYC 9655 - Power42.1330.8374.0EPYC 9655 2P44.2323.4364.8EPYC 9655 2P - Power44.3348.5394.8OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor130260390520650

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2000M4000M6000M8000M10000MSE +/- 6331139.97, N = 3SE +/- 1068228.02, N = 3SE +/- 7992983.03, N = 3SE +/- 2850341.11, N = 3SE +/- 38320157.16, N = 3SE +/- 10083374.66, N = 38151900000826136666762046333336514833333892663333392130333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power6M12M18M24M30M19710155.4419526843.4720917606.8120218095.5927728031.7826314369.50

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8413.6472.3EPYC 9755 - Power44.6423.1477.5EPYC 965542.7296.6337.9EPYC 9655 - Power42.4322.2362.5EPYC 9655 2P45.2321.9365.1EPYC 9655 2P - Power45.4350.1395.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor120240360480600

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power800M1600M2400M3200M4000MSE +/- 3925274.23, N = 3SE +/- 1980179.57, N = 3SE +/- 1659651.90, N = 3SE +/- 2781686.14, N = 3SE +/- 26473907.49, N = 3SE +/- 19402777.58, N = 32855466667285723333321527666672188366667356136666735981333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 256 - Buffer Length: 256 - Filter Length: 512

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2M4M6M8M10M7237709.107222449.647245928.177176096.5511250500.4411110378.08

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.4394.5450.7EPYC 9755 - Power44.7395.6451.8EPYC 965542.6297.1338.8EPYC 9655 - Power42.3305.0347.1EPYC 9655 2P44.7316.6361.2EPYC 9655 2P - Power44.5323.9370.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor120240360480600

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power6K12K18K24K30KSE +/- 214.06, N = 3SE +/- 134.59, N = 3SE +/- 146.49, N = 3SE +/- 106.26, N = 3SE +/- 199.26, N = 12SE +/- 204.92, N = 1519454.120634.223913.025992.515913.217008.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2040608010052.3353.3197.4196.1150.6346.88

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.5371.7421.8EPYC 9755 - Power44.3387.1435.8EPYC 965542.2245.5298.2EPYC 9655 - Power41.8270.5338.5EPYC 9655 2P44.3314.3343.6EPYC 9655 2P - Power44.8362.8395.0OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption Monitor110220330440550

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Thread

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput ThreadEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power2004006008001000SE +/- 2.19, N = 9SE +/- 1.37, N = 9SE +/- 2.24, N = 10SE +/- 1.75, N = 10SE +/- 7.37, N = 10SE +/- 2.83, N = 10994.01002.61076.51071.41056.91066.81. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Thread

OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput ThreadEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power4812162014.8915.1517.1717.2414.3714.40

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.666.895.1EPYC 9755 - Power44.466.294.5EPYC 965542.362.791.0EPYC 9655 - Power41.962.190.5EPYC 9655 2P43.773.6114.0EPYC 9655 2P - Power43.974.1114.2OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption Monitor4080120160200

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power50100150200250SE +/- 0.65, N = 3SE +/- 0.87, N = 3SE +/- 1.14, N = 3SE +/- 0.42, N = 3SE +/- 1.84, N = 3SE +/- 0.71, N = 3203.33203.72210.14215.32184.47190.34

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.19240.38480.57720.76960.9620.6590.6310.8550.8370.7680.706

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8308.7332.3EPYC 9755 - Power44.6322.7349.0EPYC 965542.3245.8264.3EPYC 9655 - Power42.1257.3275.7EPYC 9655 2P44.2240.2278.1EPYC 9655 2P - Power44.6269.5296.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power5001000150020002500SE +/- 2.78, N = 4SE +/- 2.50, N = 4SE +/- 9.05, N = 4SE +/- 11.52, N = 4SE +/- 16.25, N = 4SE +/- 19.23, N = 42271.952323.461897.882028.181989.892066.99

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power36912159.5589.5169.5679.75511.18911.143

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8237.7322.8EPYC 9755 - Power44.7244.2339.5EPYC 965542.6198.4255.2EPYC 9655 - Power42.3207.9271.4EPYC 9655 2P43.9177.8228.7EPYC 9655 2P - Power44.2185.5241.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power150300450600750SE +/- 7.40, N = 3SE +/- 8.09, N = 3SE +/- 2.91, N = 3SE +/- 1.63, N = 3SE +/- 0.83, N = 3SE +/- 5.52, N = 3659.11662.67671.97693.23511.28514.70

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.63341.26681.90022.53363.1672.2432.1522.8152.7472.1561.943

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0293.8338.6EPYC 9755 - Power44.8308.0353.7EPYC 965542.7238.7271.7EPYC 9655 - Power42.2252.3286.9EPYC 9655 2P44.8237.2264.1EPYC 9655 2P - Power43.9264.9300.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power50100150200250SE +/- 0.52, N = 3SE +/- 0.33, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 2.10, N = 3SE +/- 0.50, N = 3246.24246.59240.07246.03238.49238.82

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.21490.42980.64470.85961.07450.7300.6980.9170.8920.9550.888

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.1337.2361.7EPYC 9755 - Power44.6353.3380.9EPYC 965542.4261.7287.5EPYC 9655 - Power42.0275.8302.0EPYC 9655 2P44.3249.9272.9EPYC 9655 2P - Power44.8269.1302.2OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power6001200180024003000SE +/- 2.64, N = 3SE +/- 15.82, N = 3SE +/- 1.95, N = 3SE +/- 4.41, N = 3SE +/- 28.42, N = 4SE +/- 37.18, N = 32665.922780.142083.422221.852616.592690.50

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power36912159.5979.6239.3649.49113.01312.811

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7277.8340.8EPYC 9755 - Power44.6288.9364.6EPYC 965542.4222.5265.8EPYC 9655 - Power42.2234.1281.1EPYC 9655 2P43.8201.1242.6EPYC 9655 2P - Power44.0210.0256.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1122334455SE +/- 0.29, N = 3SE +/- 0.49, N = 3SE +/- 0.28, N = 3SE +/- 0.38, N = 3SE +/- 0.24, N = 7SE +/- 0.17, N = 343.6143.2546.7148.8426.3226.54MIN: 41.9 / MAX: 45.08MIN: 40.26 / MAX: 45.01MIN: 44.4 / MAX: 48.11MIN: 46.8 / MAX: 50.35MIN: 17.67 / MAX: 29.73MIN: 24.56 / MAX: 27.7

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.04210.08420.12630.16840.21050.1550.1540.1870.1760.0960.084

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.1281.3320.6EPYC 9755 - Power44.7281.5321.1EPYC 965542.7250.2286.6EPYC 9655 - Power42.5277.3322.1EPYC 9655 2P44.5275.1303.5EPYC 9655 2P - Power44.4314.8342.3OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power510152025SE +/- 0.19, N = 4SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 12SE +/- 0.17, N = 1217.4217.4519.2219.7411.5711.62MIN: 16.53 / MAX: 18.16MIN: 16.79 / MAX: 18.16MIN: 18.55 / MAX: 19.77MIN: 18.97 / MAX: 20.57MIN: 5.56 / MAX: 12.98MIN: 4.7 / MAX: 13.82

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.01620.03240.04860.06480.0810.0580.0580.0720.0660.0410.036

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8301.1326.0EPYC 9755 - Power44.8301.4326.1EPYC 965542.8268.8292.6EPYC 9655 - Power42.4300.0326.5EPYC 9655 2P44.3282.8299.9EPYC 9655 2P - Power44.3321.2347.3OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor100200300400500

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1122334455SE +/- 0.13, N = 3SE +/- 0.47, N = 4SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.40, N = 15SE +/- 0.32, N = 1543.8343.7746.5248.5226.9827.38MIN: 41.6 / MAX: 45.11MIN: 41.1 / MAX: 45.21MIN: 44.09 / MAX: 47.73MIN: 46.49 / MAX: 49.53MIN: 18.25 / MAX: 31.34MIN: 17.08 / MAX: 31.28

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.04190.08380.12570.16760.20950.1560.1560.1860.1740.0980.088

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0281.8321.0EPYC 9755 - Power44.6281.2321.4EPYC 965542.6249.8285.8EPYC 9655 - Power42.1278.5321.4EPYC 9655 2P44.3274.3304.6EPYC 9655 2P - Power44.4310.9347.0OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor100200300400500

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power70140210280350SE +/- 0.32, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.41, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3193.80218.20144.65166.34292.34318.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power70140210280350SE +/- 0.54, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 3SE +/- 0.67, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3329.53292.74331.17288.00163.97150.68MIN: 165.13 / MAX: 354.63MIN: 133.4 / MAX: 322.99MIN: 259.06 / MAX: 360.41MIN: 260.94 / MAX: 324.73MIN: 149.81 / MAX: 234.24MIN: 135.35 / MAX: 177.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.1364.9401.2EPYC 9755 - Power44.5417.0460.7EPYC 965542.9279.1302.3EPYC 9655 - Power42.1323.6353.3EPYC 9655 2P44.0283.2307.3EPYC 9655 2P - Power44.7311.1339.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power50K100K150K200K250KSE +/- 1255.01, N = 3SE +/- 729.29, N = 3SE +/- 658.72, N = 3SE +/- 370.35, N = 3SE +/- 2494.88, N = 4SE +/- 477.06, N = 3190777.83199930.18173358.47185028.40210660.46212321.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.1080.2160.3240.4320.54SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 30.480.460.320.310.200.18MIN: 0.13 / MAX: 26.24MIN: 0.13 / MAX: 25.58MIN: 0.13 / MAX: 22.72MIN: 0.12 / MAX: 21.96MIN: 0.16 / MAX: 31.17MIN: 0.16 / MAX: 27.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.0337.4363.6EPYC 9755 - Power45.3368.0400.7EPYC 965542.8250.6268.5EPYC 9655 - Power42.4277.1309.3EPYC 9655 2P44.4243.1262.5EPYC 9655 2P - Power44.4288.7313.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power30060090012001500SE +/- 4.77, N = 15SE +/- 6.66, N = 15SE +/- 0.53, N = 3SE +/- 2.13, N = 3SE +/- 3.94, N = 3SE +/- 9.29, N = 3733.80715.72686.91711.261470.131545.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power20406080100SE +/- 0.54, N = 15SE +/- 0.78, N = 15SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 387.1489.4069.7267.3432.6331.04MIN: 35.35 / MAX: 200.15MIN: 30.69 / MAX: 206.98MIN: 33.74 / MAX: 128.03MIN: 32.37 / MAX: 130.06MIN: 27.36 / MAX: 67.99MIN: 26.15 / MAX: 65.391. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8386.6442.8EPYC 9755 - Power45.0395.7460.0EPYC 965542.5321.8347.4EPYC 9655 - Power42.1338.2368.8EPYC 9655 2P44.4322.0352.9EPYC 9655 2P - Power44.4348.2380.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power7K14K21K28K35KSE +/- 13.14, N = 3SE +/- 8.27, N = 3SE +/- 5.45, N = 3SE +/- 3.28, N = 3SE +/- 18.16, N = 3SE +/- 67.46, N = 318679.3620954.3413972.5715518.6529775.2133372.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power4K8K12K16K20KSE +/- 2.97, N = 3SE +/- 6.51, N = 3SE +/- 13.26, N = 3SE +/- 11.71, N = 3SE +/- 8.73, N = 3SE +/- 17.68, N = 311232.2611890.898123.128699.1716407.9517500.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1.3142.6283.9425.2566.57SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.625.305.845.442.922.74MIN: 2.01 / MAX: 29.21MIN: 2.08 / MAX: 28.98MIN: 2.3 / MAX: 25.04MIN: 1.9 / MAX: 24.72MIN: 2.03 / MAX: 17.91MIN: 1.88 / MAX: 18.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8395.5423.5EPYC 9755 - Power44.7423.1455.8EPYC 965542.5292.6314.7EPYC 9655 - Power42.1315.0337.3EPYC 9655 2P44.2290.6313.7EPYC 9655 2P - Power44.2317.6343.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3K6K9K12K15KSE +/- 8.58, N = 3SE +/- 19.66, N = 3SE +/- 18.33, N = 3SE +/- 11.21, N = 3SE +/- 31.28, N = 3SE +/- 5.69, N = 38730.889199.756173.616722.7011417.0212204.111. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.226.867.687.044.193.93MIN: 4.48 / MAX: 26.34MIN: 3.75 / MAX: 24.2MIN: 4.09 / MAX: 22.61MIN: 4.45 / MAX: 21.05MIN: 3.32 / MAX: 17.36MIN: 3.02 / MAX: 20.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.2355.7388.8EPYC 9755 - Power44.8378.8415.6EPYC 965542.5263.1285.0EPYC 9655 - Power42.2283.3306.0EPYC 9655 2P44.1259.6286.1EPYC 9655 2P - Power44.4279.0307.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power30060090012001500SE +/- 2.99, N = 3SE +/- 2.19, N = 3SE +/- 3.01, N = 3SE +/- 1.89, N = 3SE +/- 1.75, N = 3SE +/- 4.43, N = 31109.751129.23840.05881.121491.951548.701. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1326395265SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 357.5756.5856.9854.3732.1330.95MIN: 34.99 / MAX: 106.02MIN: 26.76 / MAX: 102.79MIN: 27.41 / MAX: 98.07MIN: 27.11 / MAX: 90.92MIN: 23.03 / MAX: 169.79MIN: 24.71 / MAX: 244.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8437.1487.9EPYC 9755 - Power45.5452.5500.9EPYC 965542.7326.6357.1EPYC 9655 - Power42.5345.4381.9EPYC 9655 2P44.2313.7347.0EPYC 9655 2P - Power44.2334.8374.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor130260390520650

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power12K24K36K48K60KSE +/- 0.83, N = 3SE +/- 19.02, N = 3SE +/- 6.01, N = 3SE +/- 33.00, N = 3SE +/- 128.37, N = 3SE +/- 227.08, N = 331655.5734304.0923288.2625130.8549343.5655029.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power16003200480064008000SE +/- 5.09, N = 3SE +/- 3.19, N = 3SE +/- 4.42, N = 3SE +/- 4.08, N = 3SE +/- 12.20, N = 3SE +/- 3.46, N = 34774.334802.283506.593680.246976.197387.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power11002200330044005500SE +/- 2.87, N = 3SE +/- 3.67, N = 3SE +/- 0.98, N = 3SE +/- 4.89, N = 3SE +/- 3.52, N = 3SE +/- 12.07, N = 33287.433403.962393.862550.684918.445259.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 319.3618.6819.9518.699.759.12MIN: 9.99 / MAX: 44.41MIN: 9.73 / MAX: 45.34MIN: 10.11 / MAX: 40.96MIN: 9.95 / MAX: 40.46MIN: 7.8 / MAX: 32.13MIN: 6.93 / MAX: 31.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8372.2403.5EPYC 9755 - Power45.1395.4429.3EPYC 965542.8273.1294.1EPYC 9655 - Power42.5293.6317.8EPYC 9655 2P44.1286.5310.2EPYC 9655 2P - Power44.3314.4338.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

Model: Person Re-Identification Retail FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power4K8K12K16K20KSE +/- 14.83, N = 3SE +/- 12.50, N = 3SE +/- 1.05, N = 3SE +/- 8.52, N = 3SE +/- 14.09, N = 3SE +/- 7.55, N = 313949.8914033.9510064.7510744.4818938.6520214.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Re-Identification Retail FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1.05082.10163.15244.20325.254SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.484.454.674.372.532.37MIN: 1.99 / MAX: 22.31MIN: 1.92 / MAX: 23.23MIN: 2.58 / MAX: 20.15MIN: 2.16 / MAX: 18.61MIN: 1.73 / MAX: 16.68MIN: 1.7 / MAX: 15.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.1412.9447.7EPYC 9755 - Power44.7417.8455.0EPYC 965542.5300.9324.3EPYC 9655 - Power42.4322.4347.2EPYC 9655 2P43.7304.9329.1EPYC 9655 2P - Power44.1336.0362.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

Model: Noise Suppression Poconet-Like FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power3K6K9K12K15KSE +/- 33.49, N = 3SE +/- 10.73, N = 3SE +/- 10.75, N = 3SE +/- 5.58, N = 3SE +/- 91.27, N = 3SE +/- 101.98, N = 310557.1610716.328266.348640.5411384.8811848.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.16380.32760.49140.65520.819SE +/- 0.004859, N = 15SE +/- 0.000376, N = 9SE +/- 0.000691, N = 9SE +/- 0.000929, N = 9SE +/- 0.001018, N = 9SE +/- 0.000577, N = 90.5134170.4865090.7279280.6726700.6109390.561543MIN: 0.48MIN: 0.46MIN: 0.63MIN: 0.58MIN: 0.56MIN: 0.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.9156.5315.2EPYC 9755 - Power44.7163.2327.3EPYC 965542.5117.2217.9EPYC 9655 - Power42.1122.7234.3EPYC 9655 2P43.5118.2211.3EPYC 9655 2P - Power44.0124.3230.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.4CPU Power Consumption Monitor80160240320400

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1122334455SE +/- 0.48, N = 15SE +/- 0.41, N = 15SE +/- 0.07, N = 3SE +/- 0.60, N = 3SE +/- 0.49, N = 15SE +/- 0.11, N = 344.2043.9849.8948.8125.6928.611. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power918273645SE +/- 0.24, N = 15SE +/- 0.21, N = 15SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.78, N = 15SE +/- 0.14, N = 322.6622.7720.0420.4939.1434.961. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

Helsing

Digit Range: 14 digit

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power1326395265SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.26, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 343.0641.8659.2954.4729.9927.671. (CC) gcc options: -O2 -pthread

Helsing

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.9388.8429.7EPYC 9755 - Power45.1406.3448.8EPYC 965542.7287.0311.4EPYC 9655 - Power42.3318.6346.0EPYC 9655 2P45.0291.8331.6EPYC 9655 2P - Power44.1320.2366.9OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor120240360480600

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power90M180M270M360M450MSE +/- 4338134.07, N = 15SE +/- 4084095.42, N = 15SE +/- 3587851.54, N = 15SE +/- 4142878.23, N = 12SE +/- 4310907.78, N = 3SE +/- 4378797.88, N = 33073439233154303162191895432352408594268398814412177671. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power300K600K900K1200K1500K697627.07689321.78668223.51654520.001237372.891185206.63

Stockfish

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.8440.6487.2EPYC 9755 - Power44.8457.6501.5EPYC 965542.3328.0363.7EPYC 9655 - Power42.6359.4398.5EPYC 9655 2P44.4345.0374.2EPYC 9655 2P - Power44.1372.3401.2OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption Monitor130260390520650

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.45950.9191.37851.8382.2975SE +/- 0.004, N = 12SE +/- 0.003, N = 12SE +/- 0.004, N = 11SE +/- 0.003, N = 11SE +/- 0.004, N = 12SE +/- 0.002, N = 131.5531.4592.0421.8341.1961.1091. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.7147.2431.8EPYC 9755 - Power44.7154.6470.4EPYC 965542.2130.2315.1EPYC 9655 - Power21.3136.7355.7EPYC 9655 2P43.5110.5346.4EPYC 9655 2P - Power22.1113.6361.0OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1CPU Power Consumption Monitor120240360480600

Primesieve

Length: 1e13

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 4SE +/- 0.01, N = 517.9716.7524.2221.8112.4811.251. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6342.5459.6EPYC 9755 - Power44.6369.6498.2EPYC 965542.2267.8344.1EPYC 9655 - Power42.1296.4377.3EPYC 9655 2P43.4254.7343.9EPYC 9655 2P - Power44.2280.3380.9OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1CPU Power Consumption Monitor130260390520650

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power246810SE +/- 0.015, N = 5SE +/- 0.020, N = 5SE +/- 0.010, N = 5SE +/- 0.011, N = 6SE +/- 0.019, N = 5SE +/- 0.043, N = 58.1738.0686.5896.4308.3958.329

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxEPYC 975545.1243.3425.0EPYC 9755 - Power44.8246.8433.5EPYC 965542.4185.5319.9EPYC 9655 - Power42.4205.3369.7EPYC 9655 2P43.6206.0329.1EPYC 9655 2P - Power44.0221.1363.4OpenBenchmarking.orgWatts, Fewer Is BetterY-Cruncher 0.8.3CPU Power Consumption Monitor110220330440550

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power30K60K90K120K150KSE +/- 329.61, N = 3SE +/- 322.46, N = 3SE +/- 1144.52, N = 3SE +/- 226.78, N = 3133016.39132331.06141244.58153599.311. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.7EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power120240360480600407.19404.60561.77502.34

Aircrack-ng

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.6326.7379.8EPYC 9755 - Power44.6327.1380.8EPYC 965542.1251.4299.3EPYC 9655 - Power42.1305.8368.0OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.7CPU Power Consumption Monitor100200300400500

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

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

Phoronix Test Suite v10.8.5