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&rdt.

AMD EPYC 5th Gen Benchmarks - Performance vs. Power DeterminismProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2 x AMD EPYC 9655 96-Core @ 2.60GHz (192 Cores / 384 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a1520GB2 x 1920GB KIOXIA KCD8XPUG1T92ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.10.0-phx (x86_64)GCC 13.2.0ext41920x1200AMD EPYC 9655 96-Core @ 2.60GHz (96 Cores / 192 Threads)12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKCAMD EPYC 9755 128-Core @ 2.70GHz (128 Cores / 256 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110Java Details- OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)Python Details- Python 3.12.2Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power18.012117.46612.14476.43384.492112.43467.19812.2859.045100988.84049226.327497263760010720475905029495546933702682968686683179611654471712213867056734604164555972001500721.43735.48741.4313798695.25115505897911998719184401268395282.20935459612303333241.00479.59726369266.9307528.093301.12410753.051430.12266.53575.7884.60710616511452513058.427.179607.9366129.47320.67230.37690813.623.7701.8693503.021763589945.23329784.5413161.52237346.22109363.451299.43.4886748422.79757216.816965133.9042888.28909365.6149.736.6616.619.0120.6461.509.6124.3412.3935.3677.534474.199574.4966451714914290532844816987262.0596220.1741229.69064.544.402.224634107850610160400.892009871.91250.394253.989109.18411.18635.4570.6572.3886.1751.6854.244.28598.5116130.017521.396113.0322334520475295673333390931000008926633333356136666715913.21056.9184.471989.89511.28238.492616.5926.3211.5726.98292.34163.97210660.460.21470.1332.6329775.2116407.952.9211417.024.191491.9532.1349343.566976.194918.449.7518938.652.5311384.880.61093925.686039.137529.9874268398811.19612.4778.39517.835115.27112.12776.11086.974112.96366.46212.3499.077108838.94229820.428335531852311222093631330381428515732796096165297179825463159312225333203374742654724982005400728.91736.37747.9514267081.69120142052112413539564421068763837.02232759743583333244.37386.21805769836.3507742.991309.72011200.133448.00569.48478.4514.42910923411808713000.728.762538.1507231.07020.39231.77710294.623.1411.8002692.857291610380.70334250.9713249.55245220.03110940.1412543.4457211921.59263516.157032114.9892686.21336463.0948.436.4016.038.5619.8459.239.3625.8512.4338.5381.550577.319477.4721426673113459506802115981264.4782223.9959242.28424.684.782.324847109546610709350.882792872.29266.963274.240113.91811.40935.6474.8876.3190.6753.8156.254.27607.8989140.996922.578714.0169343563499302143333394504333339213033333359813333317008.11066.8190.342066.99514.70238.822690.5026.5411.6227.38318.19150.68212321.990.181545.6631.0433372.0617500.382.7412204.113.931548.7030.9555029.537387.045259.259.1220214.972.3711848.720.56154328.606834.955227.6744412177671.10911.2478.32922.713194.47414.09384.134118.698126.33397.57812.7939.52750488.72029271.713762559190753901014490147283515182713445994030879054096342136156273628502378232377391039333740.48755.69763.3912513777.695772153746077696504397154550652.09896430767396676147.33443.19376535503.6855141.082205.6436705.147268.20645.22256.1037.32955898.859791.116317.012.491474.1889117.63221.49175.97341991.727.1883.1365175.478708315803.13154462.837042.53144599.3864867.571334.17.0955534024.69787424.071752114.28075195.1475679.2091.0312.9732.6716.8040.68116.4716.5516.8012.7424.1941.246042.126642.2030869138343096610251629535888172.9986148.7896136.80355.175.192.4728147628916266001.131325870.03249.291258.613107.42211.28535.7044.4044.9390.0831.9035.959.62322.6684.27566.056681.684411.57577.1053284364320293723333363276000006204633333215276666723913.01076.5210.141897.88671.97240.072083.4246.7119.2246.52144.65331.17173358.470.32686.9169.7213972.578123.125.846173.617.68840.0556.9823288.263506.592393.8619.9510064.754.678266.340.72792849.885120.044359.2862191895432.04224.2156.589141244.57822.286187.32113.78182.535114.801125.34794.81112.7019.43354719.22136538.114289037133056670358173153038042717314043980971109081726662876182082660132499452497451042000750.83774.74771.8713608100.126073502956276331214459084746235.87909430859770006043.20646.11930335779.6495509.927220.3976885.049275.40248.09859.2266.69057262.659791.116337.913.133204.3573818.39721.56175.97353852.526.4892.7677685.210719323478.52153956.627285.36144307.5266383.291292.57.1740517622.94106222.2558113.8233192.7864975.3890.0712.2131.4716.1838.33111.3215.9418.2913.2425.7043.936644.463143.846180912875258099551518833652180.8031155.2267144.65715.495.492.6629767821966787951.070883863.99265.769273.179112.51711.68136.0147.7048.1996.0434.1338.4010.09124.0694.26605.277188.035712.43447.6316303408354302253333366400333336514833333218836666725992.51071.4215.322028.18693.23246.032221.8548.8419.7448.52166.34288.00185028.400.31711.2667.3415518.658699.175.446722.707.04881.1254.3725130.853680.242550.6818.6910744.484.378640.540.67267048.814520.490254.4662352408591.83421.8066.430153599.30723.344201.75513.97883.293109.561128.13288.89313.6699.86869037.72755042.3186660393313723597672402007365351470183776585074711863592944508070098414273230103230001361333698.12729.56724.6413316660.107868965808221028284054546042366.34304731770820005574.36356.40889037645.9739647.496385.9009654.576386.18355.79167.7765.49270762.874093.316464.114.244934.6227722.72922.09178.93465436.823.8222.7612604.393606385558.53194853.918647.62167026.9388208.361326.26.4780453821.4414620.597089120.3457160.3737873.6777.269.4624.0012.5029.7586.6212.7120.9413.9632.0255.176254.392754.395863910154203797531198223981223.2053191.7839179.44945.845.852.8536549081598467360.934896795.83271.924281.589118.16311.27534.2153.4253.9596.8139.1443.859.81023.7433.90701.7315110.038315.71959.6576313455403278456666784947333338151900000285546666719454.1994.0203.332271.95659.11246.242665.9243.6117.4243.83193.80329.53190777.830.48733.8087.1418679.3611232.265.628730.887.221109.7557.5731655.574774.333287.4319.3613949.894.4810557.160.51341744.199922.658643.0573073439231.55317.9688.173133016.39123.339199.60813.90782.933108.747129.00787.66313.6389.86871625.52788354.7186224966223740773306271999939029673183869855052011851553682778063550691873256473252781355000697.07729.06724.3513567376.307944000758219259994060366122915.49491231844133335545.67659.20551437688.0729601.732384.0699659.615386.38557.08669.3625.25570893.574456.51651214.531444.5773422.22322.01179.39463866.624.1282.7064624.108203383678.73197015.008449.11165446.8891585.721301.96.4571834422.85900720.279899120.25556160.7003872.3276.589.5024.2312.4129.4586.8712.7421.1614.4630.8456.524855.276155.47586219878197577321166623412229.2964196.9262184.61366.066.062.9637419202728822740.912677795.77275.540279.701121.92711.27134.3655.5356.2297.8840.9045.859.94824.1513.89709.9896113.225216.15999.9163313496432278330000085272333338261366667285723333320634.21002.6203.722323.46662.67246.592780.1443.2517.4543.77218.20292.74199930.180.46715.7289.4020954.3411890.895.39199.756.861129.2356.5834304.094802.283403.9618.6814033.954.4510716.320.48650943.975522.765341.8573154303161.45916.7468.068132331.063OpenBenchmarking.org

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.12, N = 13SE +/- 0.11, N = 14SE +/- 0.20, N = 3SE +/- 0.28, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 318.0117.8422.7122.2923.3423.34

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.0155.8366.9EPYC 9655 2P - Power43.4168.5401.2EPYC 965541.9176.0356.2EPYC 9655 - Power41.7186.6399.7EPYC 975544.2204.9467.5EPYC 9755 - Power44.2217.9500.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4080120160200SE +/- 0.66, N = 3SE +/- 0.83, N = 3SE +/- 0.40, N = 3SE +/- 0.42, N = 3SE +/- 0.88, N = 3SE +/- 1.23, N = 3117.47115.27194.47187.32201.76199.61

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.9274.4370.2EPYC 9655 2P - Power43.3300.7401.4EPYC 965541.8306.1360.3EPYC 9655 - Power42.3339.4401.2EPYC 975544.4383.8473.4EPYC 9755 - Power44.6407.3504.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 412.1412.1314.0913.7813.9813.91

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.4146.4368.8EPYC 9655 2P - Power43.6156.5399.6EPYC 965542.7163.1363.5EPYC 9655 - Power41.9172.4397.7EPYC 975544.7172.5483.8EPYC 9755 - Power44.4177.1499.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.74, N = 3SE +/- 0.82, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 376.4376.1184.1382.5483.2982.93

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.8178.0368.1EPYC 9655 2P - Power43.5189.8400.8EPYC 965542.0202.8359.9EPYC 9655 - Power42.0214.7400.4EPYC 975544.5220.4490.6EPYC 9755 - Power44.4223.4501.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.33, N = 3SE +/- 1.18, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.21, N = 3SE +/- 0.66, N = 384.4986.97118.70114.80109.56108.75

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0231.6365.7EPYC 9655 2P - Power43.1272.3401.2EPYC 965542.1265.8361.5EPYC 9655 - Power21.9293.0401.3EPYC 975544.5304.2485.2EPYC 9755 - Power44.5314.7501.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.25, N = 3SE +/- 0.58, N = 3SE +/- 1.17, N = 3SE +/- 1.57, N = 3SE +/- 1.52, N = 3SE +/- 0.32, N = 3112.43112.96126.33125.35128.13129.01

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.7161.2365.0EPYC 9655 2P - Power43.6175.0400.8EPYC 965542.1176.5363.1EPYC 9655 - Power41.7185.9400.8EPYC 975544.4195.4485.4EPYC 9755 - Power44.4199.7502.3OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 367.2066.4697.5894.8188.8987.66

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.7223.8370.1EPYC 9655 2P - Power43.5235.5402.0EPYC 965541.9263.6364.7EPYC 9655 - Power41.9283.1401.2EPYC 975544.4300.1488.2EPYC 9755 - Power44.6313.7501.1OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.06, N = 412.2912.3512.7912.7013.6713.64

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.3132.5362.3EPYC 9655 2P - Power43.2131.4399.0EPYC 965542.0138.7351.8EPYC 9655 - Power41.8144.0397.4EPYC 975544.4145.0477.1EPYC 9755 - Power44.4146.8500.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.018, N = 5SE +/- 0.051, N = 5SE +/- 0.030, N = 5SE +/- 0.036, N = 5SE +/- 0.013, N = 5SE +/- 0.035, N = 59.0459.0779.5279.4339.8689.868

Timed ImageMagick Compilation

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20K40K60K80K100KSE +/- 85.49, N = 3SE +/- 311.78, N = 3SE +/- 21.59, N = 3SE +/- 138.06, N = 3SE +/- 15.58, N = 3SE +/- 126.11, N = 3100988.8108838.950488.754719.269037.771625.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power900K1800K2700K3600K4500KSE +/- 1533.00, N = 3SE +/- 3942.78, N = 3SE +/- 365.28, N = 3SE +/- 1158.12, N = 3SE +/- 331.00, N = 3SE +/- 1824.02, N = 34049226.34229820.42029271.72136538.12755042.32788354.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15K12199.1611251.396366.615988.276287.446052.60

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power60000M120000M180000M240000M300000MSE +/- 182816536.21, N = 3SE +/- 384856106.88, N = 3SE +/- 343661637.22, N = 3SE +/- 143659903.05, N = 3SE +/- 76407988.26, N = 3SE +/- 109659436.53, N = 32749726376002833553185231376255919071428903713301866603933131862249662231. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200M400M600M800M1000M792326368.61745431096.10413951053.97386706631.41401864487.87395591946.00

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20000M40000M60000M80000M100000MSE +/- 334242164.38, N = 3SE +/- 41276678.86, N = 3SE +/- 85304308.49, N = 3SE +/- 84288798.91, N = 3SE +/- 163780192.60, N = 3SE +/- 46660762.78, N = 3107204759050112220936313539010144905667035817372359767240740773306271. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70M140M210M280M350M311075032.43300082924.18166891800.58160210243.51161764658.87160962436.45

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.8344.6359.9EPYC 9655 2P - Power44.3374.0390.3EPYC 965542.3323.0337.2EPYC 9655 - Power42.1353.7370.0EPYC 975545.0447.3471.8EPYC 9755 - Power44.6460.2481.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power700000M1400000M2100000M2800000M3500000MSE +/- 325870485.63, N = 3SE +/- 1171219798.83, N = 3SE +/- 1295376232.10, N = 3SE +/- 1180292536.08, N = 3SE +/- 679943093.73, N = 3SE +/- 2715663243.10, N = 32949554693370303814285157314728351518271530380427173200736535147019999390296731. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000M8845889467.798590267340.494714124877.734600647138.644699217928.954630384700.63

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.3333.4351.2EPYC 9655 2P - Power44.0353.7368.5EPYC 965542.6312.4329.1EPYC 9655 - Power42.2332.6348.8EPYC 975544.7427.2447.2EPYC 9755 - Power44.9431.9451.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power600000M1200000M1800000M2400000M3000000MSE +/- 3021247793.93, N = 3SE +/- 1439419832.95, N = 3SE +/- 243566219.34, N = 3SE +/- 1492761099.56, N = 3SE +/- 2482404044.78, N = 3SE +/- 836488131.91, N = 32682968686683279609616529713445994030871404398097110183776585074718386985505201. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000M8113891234.737877555574.354358545440.704217409857.514339501704.864242525981.40

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power400000M800000M1200000M1600000M2000000MSE +/- 200687972.98, N = 3SE +/- 610791897.39, N = 3SE +/- 211781187.22, N = 3SE +/- 218675473.81, N = 3SE +/- 507390352.95, N = 3SE +/- 339596989.72, N = 317961165447171798254631593905409634213908172666287118635929445011851553682771. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1100M2200M3300M4400M5500M4948590692.924738784471.832590512735.182480917067.732532659749.392526667355.76

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300000M600000M900000M1200000M1500000MSE +/- 567847363.95, N = 3SE +/- 840797691.41, N = 3SE +/- 139220101.42, N = 3SE +/- 245600409.78, N = 3SE +/- 89801965.81, N = 3SE +/- 403700022.50, N = 3122138670567312225333203376156273628506182082660138070098414278063550691871. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power700M1400M2100M2800M3500M3416509479.963243864254.541790086074.831717528135.791746071268.121727334073.19

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P45.2357.5379.0EPYC 9655 2P - Power44.3376.9399.4EPYC 965542.3343.9362.0EPYC 9655 - Power42.1359.9392.3EPYC 975544.7462.2499.0EPYC 9755 - Power44.5466.8500.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power100K200K300K400K500KSE +/- 1429.13, N = 3SE +/- 2042.80, N = 3SE +/- 7.33, N = 3SE +/- 83.70, N = 3SE +/- 53.35, N = 3SE +/- 32.03, N = 34604164742652378232499453230103256471. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300600900120015001478.571400.61792.83764.24778.22774.58

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxXeon 6766E 2P Full108445497Intel Xeon 6980P 2P1178921079EPYC 975545415468EPYC 9755 - Power45420477EPYC 965542300338EPYC 9655 - Power43327370EPYC 9655 2P45311353EPYC 9655 2P - Power45339385OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power100K200K300K400K500KSE +/- 4890.26, N = 4SE +/- 4308.74, N = 3SE +/- 23.62, N = 3SE +/- 424.21, N = 3SE +/- 45.32, N = 3SE +/- 191.99, N = 34555974724982377392497453230003252781. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300600900120015001463.851398.98789.71761.35782.32772.62

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power400K800K1200K1600K2000KSE +/- 18489.19, N = 6SE +/- 20771.62, N = 5SE +/- 1855.92, N = 3SE +/- 1000.00, N = 3SE +/- 1201.85, N = 3SE +/- 1527.53, N = 32001500200540010393331042000136133313550001. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power130026003900520065006164.886123.953348.483341.693396.833375.51

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4324.7367.1EPYC 9655 2P - Power45.1327.5368.5EPYC 965542.4310.4352.3EPYC 9655 - Power42.1311.8351.7EPYC 975544.9400.8455.8EPYC 9755 - Power44.8401.4454.4OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power160320480640800SE +/- 2.73, N = 3SE +/- 6.47, N = 3SE +/- 1.08, N = 3SE +/- 1.82, N = 3SE +/- 6.12, N = 3SE +/- 5.79, N = 3721.43728.91740.48750.83698.12697.07MIN: 107.91 / MAX: 7500MIN: 105.45 / MAX: 6666.67MIN: 68.57 / MAX: 8571.43MIN: 73.53 / MAX: 7500MIN: 80.86 / MAX: 6666.67MIN: 82.42 / MAX: 5454.55

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 5.84, N = 3SE +/- 8.92, N = 3SE +/- 5.05, N = 3SE +/- 4.08, N = 3SE +/- 5.27, N = 3SE +/- 5.61, N = 3735.48736.37755.69774.74729.56729.06MIN: 110.29 / MAX: 7500MIN: 113.42 / MAX: 6666.67MIN: 69.93 / MAX: 7500MIN: 73.71 / MAX: 8571.43MIN: 81.63 / MAX: 7500MIN: 84.27 / MAX: 7500

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power170340510680850SE +/- 2.38, N = 3SE +/- 3.66, N = 3SE +/- 0.75, N = 3SE +/- 2.15, N = 3SE +/- 4.70, N = 3SE +/- 0.97, N = 3741.43747.95763.39771.87724.64724.35MIN: 105.26 / MAX: 7500MIN: 110.5 / MAX: 7500MIN: 69.36 / MAX: 8571.43MIN: 73.53 / MAX: 8571.43MIN: 85.11 / MAX: 6666.67MIN: 81.52 / MAX: 6000

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.03842.07683.11524.15365.1924.5324.5524.6154.5614.4314.420

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1163.6297.5EPYC 9655 2P - Power43.9164.3317.3EPYC 965541.9165.4302.9EPYC 9655 - Power41.9169.2357.0EPYC 975544.4163.5407.0EPYC 9755 - Power44.2163.9418.1OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3M6M9M12M15MSE +/- 32915.29, N = 3SE +/- 58584.80, N = 3SE +/- 51257.47, N = 3SE +/- 107977.86, N = 3SE +/- 136953.60, N = 3SE +/- 127571.69, N = 313798695.2514267081.6912513777.6913608100.1213316660.1013567376.301. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power11K22K33K44K55K50454.7545342.5147921.2443796.4737790.6238436.40

Memcached

CPU Power Consumption Monitor

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

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300M600M900M1200M1500MSE +/- 3941921.08, N = 3SE +/- 3806633.26, N = 3SE +/- 4322874.61, N = 3SE +/- 463544.96, N = 3SE +/- 5260460.78, N = 3SE +/- 646946.28, N = 3115505897912014205215772153746073502957868965807944000751. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power800K1600K2400K3200K4000K3561086.453514357.171918650.381878922.221894471.541905830.82

RocksDB

CPU Power Consumption Monitor

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

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300M600M900M1200M1500MSE +/- 1997067.74, N = 3SE +/- 1881332.70, N = 3SE +/- 696066.18, N = 3SE +/- 707531.18, N = 3SE +/- 707549.54, N = 3SE +/- 300359.50, N = 3119987191812413539566077696506276331218221028288219259991. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power800K1600K2400K3200K4000K3681905.183636125.581998985.071950554.661969975.351967243.95

Speedb

CPU Power Consumption Monitor

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

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power100K200K300K400K500KSE +/- 3644.76, N = 3SE +/- 4246.49, N = 3SE +/- 5047.30, N = 3SE +/- 206.31, N = 3SE +/- 809.78, N = 3SE +/- 1638.17, N = 34401264421064397154459084054544060361. (CC) gcc options: -pedantic -O3

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks Per Watt, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power110022003300440055004042.384042.454993.065124.054437.204428.71

SecureMark

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1108.9112.7EPYC 9655 2P - Power43.6109.4112.9EPYC 965541.988.192.3EPYC 9655 - Power41.687.089.9EPYC 975544.391.493.9EPYC 9755 - Power44.291.794.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2M4M6M8M10MSE +/- 47498.43, N = 3SE +/- 40995.91, N = 3SE +/- 8964.82, N = 3SE +/- 24173.23, N = 3SE +/- 10789.95, N = 3SE +/- 17530.74, N = 38395282.218763837.024550652.104746235.886042366.346122915.491. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power6K12K18K24K30K27913.2125953.1114303.0313758.8114585.7414350.09

Coremark

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0300.8367.3EPYC 9655 2P - Power44.0337.7399.3EPYC 965541.8318.2348.1EPYC 9655 - Power41.5345.0390.8EPYC 975544.7414.3479.8EPYC 9755 - Power44.2426.7492.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1300M2600M3900M5200M6500MSE +/- 18981834.93, N = 3SE +/- 16519338.83, N = 3SE +/- 4068843.09, N = 3SE +/- 3204898.91, N = 3SE +/- 6342005.91, N = 3SE +/- 2174206.39, N = 35961230333597435833330767396673085977000317708200031844133331. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power5M10M15M20M25M21951337.6819282777.6411562385.409807760.799501967.559428172.22

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.5271.6350.0EPYC 9655 2P - Power43.7309.8401.2EPYC 965541.9266.1338.1EPYC 9655 - Power41.6314.6400.5EPYC 975544.4334.4438.6EPYC 9755 - Power44.2337.8463.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power130026003900520065003241.003244.376147.336043.215574.365545.681. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 43.94 / Avg: 352.06 / Max: 367.99Min: 45.25 / Avg: 393.61 / Max: 400.44Min: 41.97 / Avg: 340.67 / Max: 360.85Min: 41.87 / Avg: 386.4 / Max: 400.07Min: 44.4 / Avg: 440.28 / Max: 480.05Min: 45.44 / Avg: 452.12 / Max: 499.62

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.17, N = 9SE +/- 0.18, N = 10SE +/- 0.15, N = 7SE +/- 0.15, N = 7SE +/- 0.18, N = 8SE +/- 0.20, N = 879.6086.2243.1946.1256.4159.211. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.11180.22360.33540.44720.5590.4970.4810.2190.2080.2460.238

ACES DGEMM

CPU Power Consumption Monitor

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

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power15K30K45K60K75KSE +/- 1045.33, N = 15SE +/- 1071.97, N = 15SE +/- 535.60, N = 15SE +/- 570.38, N = 15SE +/- 450.61, N = 15SE +/- 426.75, N = 1569266.9369836.3535503.6935779.6537645.9737688.071. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

LULESH

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

LULESH

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1226.2340.2EPYC 9655 2P - Power44.2246.1384.6EPYC 965542.1213.4333.7EPYC 9655 - Power41.9231.4369.4EPYC 975544.5291.3459.2EPYC 9755 - Power44.6297.0481.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 207.48, N = 15SE +/- 227.27, N = 13SE +/- 36.48, N = 8SE +/- 30.12, N = 8SE +/- 66.65, N = 11SE +/- 19.04, N = 107528.097742.995141.085509.939647.509601.731. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power80160240320400SE +/- 8.30, N = 15SE +/- 9.09, N = 13SE +/- 1.46, N = 8SE +/- 1.20, N = 8SE +/- 2.67, N = 11SE +/- 0.76, N = 10301.12309.72205.64220.40385.90384.071. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.48240.96481.44721.92962.4121.9541.8861.1941.1882.1442.058

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0154.1346.7EPYC 9655 2P - Power43.8164.2373.1EPYC 965542.2172.2314.3EPYC 9655 - Power41.9185.5349.7EPYC 975544.4180.0458.2EPYC 9755 - Power44.5186.6459.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 132.52, N = 15SE +/- 107.41, N = 15SE +/- 42.42, N = 3SE +/- 53.97, N = 3SE +/- 76.86, N = 4SE +/- 98.24, N = 410753.0511200.136705.156885.059654.589659.621. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power100200300400500SE +/- 5.30, N = 15SE +/- 4.30, N = 15SE +/- 1.70, N = 3SE +/- 2.16, N = 3SE +/- 3.07, N = 4SE +/- 3.93, N = 4430.12448.01268.21275.40386.18386.391. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.35550.7111.06651.4221.77751.5801.5640.9480.9211.0871.100

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2272.2357.3EPYC 9655 2P - Power44.2286.4378.8EPYC 965542.0282.8341.8EPYC 9655 - Power41.8298.9373.3EPYC 975544.7355.4459.9EPYC 9755 - Power44.5351.1458.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1530456075SE +/- 0.29, N = 7SE +/- 0.65, N = 7SE +/- 0.32, N = 15SE +/- 0.32, N = 11SE +/- 0.31, N = 10SE +/- 0.45, N = 1066.5469.4845.2248.1055.7957.091. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.10710.21420.32130.42840.53550.4590.4520.4440.4760.4460.456

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2144.9285.7EPYC 9655 2P - Power44.3153.9305.7EPYC 965542.0101.8272.7EPYC 9655 - Power42.0101.1290.0EPYC 975544.5125.0352.9EPYC 9755 - Power44.5125.3355.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.52, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 375.7978.4556.1059.2367.7869.361. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.05130.10260.15390.20520.25650.2280.2110.1680.1590.1470.145

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1332.7359.7EPYC 9655 2P - Power44.8371.7399.2EPYC 965542.2334.9355.5EPYC 9655 - Power41.9371.7387.0EPYC 975544.3461.9488.1EPYC 9755 - Power44.7479.7499.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.077, N = 15SE +/- 0.073, N = 15SE +/- 0.013, N = 6SE +/- 0.031, N = 6SE +/- 0.025, N = 7SE +/- 0.018, N = 74.6074.4297.3296.6905.4925.2551. (CXX) g++ options: -fopenmp -O2 -march=native

m-queens

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P22.8197.4338.4EPYC 9655 2P - Power44.2220.8391.9EPYC 965542.2215.2315.9EPYC 9655 - Power42.4244.3375.0EPYC 975544.7265.1441.7EPYC 9755 - Power44.7283.2488.1OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20K40K60K80K100KSE +/- 1206.67, N = 3SE +/- 1248.33, N = 3SE +/- 328.80, N = 3SE +/- 601.20, N = 3SE +/- 395.30, N = 3SE +/- 519.97, N = 15106165.0109234.055898.857262.670762.870893.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power30K60K90K120K150KSE +/- 1202.40, N = 3SE +/- 733.67, N = 3SE +/- 380.83, N = 3SE +/- 380.83, N = 3SE +/- 438.43, N = 3SE +/- 308.95, N = 15114525.0118087.059791.159791.174093.374456.51. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450402.74357.39209.31178.18207.54205.38

ASKAP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.6284.4361.2EPYC 9655 2P - Power44.0330.4400.1EPYC 965542.0285.7357.7EPYC 9655 - Power42.4335.6399.7EPYC 975545.0357.0474.4EPYC 9755 - Power44.5362.5499.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 18.59, N = 3SE +/- 81.25, N = 3SE +/- 10.86, N = 3SE +/- 22.76, N = 3SE +/- 0.00, N = 3SE +/- 2.31, N = 313058.413000.716317.016337.916464.116512.01. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power714212835SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 7SE +/- 0.02, N = 7SE +/- 0.03, N = 7SE +/- 0.03, N = 727.1828.7612.4913.1314.2414.53

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04590.09180.13770.18360.22950.1940.2040.0700.0690.0660.065

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0139.9338.8EPYC 9655 2P - Power44.1140.8352.7EPYC 965542.1179.1318.0EPYC 9655 - Power41.9191.1348.1EPYC 975544.8214.8414.4EPYC 9755 - Power44.4222.9445.4OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.01771, N = 3SE +/- 0.08274, N = 3SE +/- 0.00164, N = 3SE +/- 0.00449, N = 3SE +/- 0.00697, N = 3SE +/- 0.01359, N = 37.936618.150724.188914.357384.622774.57734

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01170.02340.03510.04680.05850.0510.0520.0180.0170.0160.016

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.8154.4351.6EPYC 9655 2P - Power44.1156.9375.7EPYC 965541.8235.2336.0EPYC 9655 - Power41.8254.5359.8EPYC 975544.5284.4425.6EPYC 9755 - Power44.2290.0444.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power714212835SE +/- 0.30, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 329.4731.0717.6318.4022.7322.221. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.02570.05140.07710.10280.12850.1140.1090.0660.0630.0650.062

GROMACS

CPU Power Consumption Monitor

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

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.23, N = 3SE +/- 0.16, N = 15SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 320.6720.3921.4921.5622.0922.011. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

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

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 1.12, N = 3SE +/- 0.80, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3230.37231.77175.97175.97178.93179.391. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

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

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power150K300K450K600K750KSE +/- 310.97, N = 3SE +/- 723.87, N = 3SE +/- 414.37, N = 3SE +/- 316.52, N = 3SE +/- 401.79, N = 3SE +/- 359.42, N = 3690813.6710294.6341991.7353852.5465436.8463866.61. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50010001500200025002158.992113.911136.471116.731146.371137.92

QuantLib

CPU Power Consumption Monitor

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

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 323.7723.1427.1926.4923.8224.131. (CC) gcc options: -shared -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

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

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.70571.41142.11712.82283.5285SE +/- 0.032998, N = 15SE +/- 0.022392, N = 15SE +/- 0.087065, N = 15SE +/- 0.064100, N = 15SE +/- 0.045208, N = 15SE +/- 0.059060, N = 151.8693501.8002693.1365172.7677682.7612602.7064621. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1170.6358.9EPYC 9655 2P - Power44.2173.1389.3EPYC 965542.5171.4339.9EPYC 9655 - Power42.0171.1370.8EPYC 975544.6210.5475.6EPYC 9755 - Power44.5210.5481.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.23272.46543.69814.93086.1635SE +/- 0.042880, N = 15SE +/- 0.036612, N = 15SE +/- 0.054129, N = 15SE +/- 0.045321, N = 15SE +/- 0.073388, N = 15SE +/- 0.054249, N = 153.0217632.8572915.4787085.2107194.3936064.1082031. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0184.9359.5EPYC 9655 2P - Power44.2199.0391.0EPYC 965542.5209.0339.7EPYC 9655 - Power42.2219.6373.2EPYC 975544.5248.9471.5EPYC 9755 - Power44.4243.8486.1OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power130K260K390K520K650KSE +/- 3426.11, N = 6SE +/- 6165.72, N = 6SE +/- 1611.44, N = 6SE +/- 1953.53, N = 6SE +/- 5529.34, N = 15SE +/- 4917.65, N = 15589945.23610380.70315803.13323478.52385558.53383678.731. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70014002100280035003149.313031.251431.331287.441391.901335.30

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2187.3355.9EPYC 9655 2P - Power44.4201.4399.7EPYC 965542.6220.6341.4EPYC 9655 - Power42.0251.3399.4EPYC 975544.8277.0487.2EPYC 9755 - Power44.4287.3499.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70K140K210K280K350KSE +/- 2950.53, N = 5SE +/- 1406.41, N = 6SE +/- 367.39, N = 5SE +/- 412.37, N = 5SE +/- 878.07, N = 5SE +/- 629.86, N = 5329784.54334250.97154462.83153956.62194853.91197015.001. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4008001200160020001690.671501.60619.92549.18644.42638.95

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2195.1373.6EPYC 9655 2P - Power44.3222.6399.9EPYC 965542.3249.2352.0EPYC 9655 - Power41.3280.3399.6EPYC 975544.8302.4488.2EPYC 9755 - Power44.5308.3496.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 91.78, N = 15SE +/- 116.48, N = 15SE +/- 41.67, N = 6SE +/- 64.97, N = 6SE +/- 55.66, N = 6SE +/- 80.37, N = 1513161.5213249.557042.537285.368647.628449.111. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2040608010078.1973.4536.7535.3040.0438.11

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1168.3338.8EPYC 9655 2P - Power44.1180.4382.3EPYC 965542.4191.6344.5EPYC 9655 - Power42.1206.4392.9EPYC 975544.5216.0421.2EPYC 9755 - Power44.4221.7441.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50K100K150K200K250KSE +/- 3226.17, N = 15SE +/- 4683.24, N = 15SE +/- 1820.15, N = 15SE +/- 1911.09, N = 15SE +/- 1302.88, N = 15SE +/- 1273.22, N = 15237346.22245220.03144599.38144307.52167026.93165446.881. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4008001200160020001822.651806.341272.731175.301197.561148.15

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1130.2317.6EPYC 9655 2P - Power44.0135.8355.9EPYC 965542.1113.6329.5EPYC 9655 - Power42.0122.8380.2EPYC 975544.4139.5414.0EPYC 9755 - Power44.3144.1453.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20K40K60K80K100KSE +/- 1014.34, N = 15SE +/- 946.98, N = 15SE +/- 750.66, N = 15SE +/- 526.39, N = 15SE +/- 618.06, N = 15SE +/- 716.44, N = 10109363.45110940.1464867.5766383.2988208.3691585.721. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power160320480640800750.69710.80420.91388.54491.65507.34

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1145.7357.3EPYC 9655 2P - Power43.9156.1397.3EPYC 965542.0154.1349.3EPYC 9655 - Power42.0170.9399.6EPYC 975544.3179.4483.4EPYC 9755 - Power44.2180.5499.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300600900120015001299.41254.01334.11292.51326.21301.91. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 43.79 / Avg: 360.39 / Max: 378.4Min: 44.02 / Avg: 391.49 / Max: 399.98Min: 42.34 / Avg: 346.39 / Max: 369.48Min: 41.84 / Avg: 375.23 / Max: 399.59Min: 44.44 / Avg: 477.37 / Max: 499.23Min: 44.28 / Avg: 483.97 / Max: 499.76

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.00772957, N = 6SE +/- 0.01525858, N = 6SE +/- 0.03188987, N = 5SE +/- 0.07400503, N = 5SE +/- 0.01274608, N = 6SE +/- 0.01593429, N = 63.488674843.445721197.095553407.174051766.478045386.457183441. (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 9655 2P44.7190.6354.3EPYC 9655 2P - Power45.2210.2399.6EPYC 965542.6217.1341.8EPYC 9655 - Power42.2242.8378.0EPYC 975544.7273.8467.0EPYC 9755 - Power44.4292.4495.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power61218243022.8021.5924.7022.9421.4422.861. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power61218243016.8216.1624.0722.2620.6020.281. (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 9655 2P44.0289.0370.3EPYC 9655 2P - Power43.8311.1399.7EPYC 965542.3304.0363.0EPYC 9655 - Power41.7331.4399.7EPYC 975544.4396.4492.6EPYC 9755 - Power44.7402.6499.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150133.90114.99114.28113.82120.35120.261. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power408012016020088.2986.21195.15192.79160.37160.701. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.7340.4378.5EPYC 9655 2P - Power44.4363.6400.0EPYC 965542.3331.2360.0EPYC 9655 - Power41.9365.5399.5EPYC 975544.6450.2489.9EPYC 9755 - Power44.4464.4499.3OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.13, N = 3SE +/- 0.21, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 365.6163.0979.2075.3873.6772.32

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.6315.8368.4EPYC 9655 2P - Power44.3338.7399.9EPYC 965543.0322.6361.0EPYC 9655 - Power42.0356.6400.0EPYC 975544.9423.7488.8EPYC 9755 - Power44.5433.8499.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 349.7348.4391.0390.0777.2676.58

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1258.6371.8EPYC 9655 2P - Power22.3274.9399.7EPYC 965542.7296.9363.4EPYC 9655 - Power42.4310.5399.7EPYC 975544.9364.1489.3EPYC 9755 - Power44.9380.5500.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.01, N = 6SE +/- 0.02, N = 6SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 5SE +/- 0.02, N = 56.666.4012.9712.219.469.50

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2224.0359.7EPYC 9655 2P - Power44.6235.2382.8EPYC 965542.5254.7335.4EPYC 9655 - Power42.1270.1361.2EPYC 975544.7317.6461.2EPYC 9755 - Power44.7320.3473.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power816243240SE +/- 0.06, N = 3SE +/- 0.03, N = 4SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 316.6116.0332.6731.4724.0024.23

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2290.2361.7EPYC 9655 2P - Power44.3306.6382.8EPYC 965542.6302.8340.2EPYC 9655 - Power42.1317.4359.2EPYC 975544.8395.6467.1EPYC 9755 - Power45.0397.0466.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 4SE +/- 0.02, N = 49.018.5616.8016.1812.5012.41

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4241.7367.1EPYC 9655 2P - Power44.2259.0392.8EPYC 965542.5267.3340.6EPYC 9655 - Power42.0284.7366.4EPYC 975544.9338.6471.9EPYC 9755 - Power44.7343.2478.1OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 320.6419.8440.6838.3329.7529.45

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.5292.6358.9EPYC 9655 2P - Power44.4310.6387.3EPYC 965542.6299.9333.6EPYC 9655 - Power42.2322.5361.6EPYC 975544.7395.0458.0EPYC 9755 - Power45.0403.2469.4OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 361.5059.23116.47111.3286.6286.87

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2334.2378.2EPYC 9655 2P - Power44.4356.6401.1EPYC 965542.8334.1355.5EPYC 9655 - Power42.1358.4382.1EPYC 975545.1446.0487.0EPYC 9755 - Power44.6453.1491.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.02, N = 5SE +/- 0.05, N = 5SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 49.619.3616.5515.9412.7112.74

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.5254.0379.6EPYC 9655 2P - Power44.5267.9400.8EPYC 965542.8286.9368.7EPYC 9655 - Power42.4302.9395.0EPYC 975545.0350.7492.1EPYC 9755 - Power44.9357.0498.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.51, N = 12SE +/- 0.05, N = 3SE +/- 0.17, N = 15SE +/- 0.23, N = 15SE +/- 0.33, N = 15SE +/- 0.21, N = 324.3425.8516.8018.2920.9421.16MIN: 21.68 / MAX: 36.31MIN: 24.44 / MAX: 38.15MIN: 15.67 / MAX: 20.23MIN: 16.97 / MAX: 21.39MIN: 19.5 / MAX: 27MIN: 20.29 / MAX: 27.72

LuxCoreRender

Scene: DLSC - Acceleration: CPU

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

LuxCoreRender

CPU Power Consumption Monitor

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

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.21, N = 15SE +/- 0.26, N = 15SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 15SE +/- 0.19, N = 312.3912.4312.7413.2413.9614.46MIN: 5.44 / MAX: 16.29MIN: 5.65 / MAX: 16.74MIN: 6.13 / MAX: 14.49MIN: 6.48 / MAX: 15.17MIN: 6.55 / MAX: 16.95MIN: 7.35 / MAX: 16.92

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01010.02020.03030.04040.05050.0450.0390.0440.0410.0380.035

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2278.4334.1EPYC 9655 2P - Power44.4319.2381.8EPYC 965542.6286.9320.8EPYC 9655 - Power42.3323.6368.5EPYC 975544.9369.8444.6EPYC 9755 - Power44.9411.7490.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.53, N = 14SE +/- 0.90, N = 15SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.52, N = 15SE +/- 0.35, N = 1535.3638.5324.1925.7032.0230.84MIN: 29.34 / MAX: 57.89MIN: 30.95 / MAX: 59.82MIN: 21.58 / MAX: 32.81MIN: 22.87 / MAX: 34.83MIN: 26.48 / MAX: 43.04MIN: 26.95 / MAX: 43.78

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.02630.05260.07890.10520.13150.1170.1100.0800.0760.0740.068

LuxCoreRender

CPU Power Consumption Monitor

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

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 377.5381.5541.2543.9455.1856.52

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.05380.10760.16140.21520.2690.2390.2280.1340.1280.1300.127

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.3325.0364.5EPYC 9655 2P - Power44.5357.9400.7EPYC 965542.7307.6338.1EPYC 9655 - Power42.1343.7379.2EPYC 975544.7425.8477.0EPYC 9755 - Power44.7445.3499.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 374.2077.3242.1344.4654.3955.28

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.05150.1030.15450.2060.25750.2290.2170.1350.1270.1270.124

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.5323.7340.1EPYC 9655 2P - Power44.5357.0374.4EPYC 965542.6311.6323.3EPYC 9655 - Power42.2351.4365.7EPYC 975545.0429.8449.3EPYC 9755 - Power44.9445.3466.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 374.5077.4742.2043.8554.4055.48

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.0560.1120.1680.2240.280.2490.2350.1510.1370.1440.143

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P45.0299.7339.8EPYC 9655 2P - Power44.8329.1374.5EPYC 965542.6279.1323.8EPYC 9655 - Power42.1320.2371.2EPYC 975544.8376.8448.6EPYC 9755 - Power44.8386.8466.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3451426869809639621

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.3299.4365.0EPYC 9655 2P - Power44.4330.6400.6EPYC 965542.7279.6339.9EPYC 9655 - Power42.1311.4383.4EPYC 975544.8371.8463.5EPYC 9755 - Power44.5391.3485.4OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 10.60, N = 3SE +/- 8.19, N = 3SE +/- 19.97, N = 3SE +/- 20.87, N = 3SE +/- 3.71, N = 3SE +/- 5.49, N = 3714967311383412875101549878

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P45.0318.2364.2EPYC 9655 2P - Power44.5343.4401.2EPYC 965542.7299.1339.3EPYC 9655 - Power42.1316.7385.0EPYC 975544.7358.2462.2EPYC 9755 - Power44.6419.2488.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power7K14K21K28K35KSE +/- 16.68, N = 3SE +/- 23.46, N = 3SE +/- 52.17, N = 3SE +/- 33.02, N = 3SE +/- 39.68, N = 3SE +/- 10.68, N = 3142901345930966258092037919757

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4321.6364.2EPYC 9655 2P - Power44.8349.9400.8EPYC 965542.5248.9338.6EPYC 9655 - Power42.3334.6384.7EPYC 975544.9385.4463.9EPYC 9755 - Power44.5401.6488.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 35325061025955753732

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.6302.4366.1EPYC 9655 2P - Power44.3329.9401.1EPYC 965542.5282.1344.1EPYC 9655 - Power42.3315.1387.0EPYC 975544.8373.6459.9EPYC 9755 - Power44.4392.5485.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 11.68, N = 3SE +/- 6.66, N = 3SE +/- 14.29, N = 3SE +/- 15.94, N = 3SE +/- 14.19, N = 3SE +/- 3.61, N = 38448802116295151881198211666

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.8314.3366.2EPYC 9655 2P - Power44.5322.4401.2EPYC 965542.6281.5342.6EPYC 9655 - Power42.1314.0390.6EPYC 975544.7371.8469.9EPYC 9755 - Power44.5387.0483.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power8K16K24K32K40KSE +/- 31.56, N = 3SE +/- 37.47, N = 3SE +/- 11.68, N = 3SE +/- 49.64, N = 3SE +/- 32.92, N = 3SE +/- 33.06, N = 3169871598135888336522398123412

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.5303.6365.5EPYC 9655 2P - Power44.8330.9401.2EPYC 965542.7263.3342.2EPYC 9655 - Power42.1289.0388.6EPYC 975544.7395.1468.2EPYC 9755 - Power45.0414.0485.1OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power60120180240300SE +/- 2.22, N = 15SE +/- 1.39, N = 8SE +/- 0.11, N = 8SE +/- 0.07, N = 8SE +/- 0.06, N = 8SE +/- 0.05, N = 9262.06264.48173.00180.80223.21229.30MIN: 209.29 / MAX: 297.79MIN: 212.5 / MAX: 306.56MIN: 170.04 / MAX: 176.59MIN: 178.16 / MAX: 184.07MIN: 219.93 / MAX: 227.73MIN: 226.03 / MAX: 234.63

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.31640.63280.94921.26561.5821.4061.2760.8720.8210.9650.944

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4186.4361.8EPYC 9655 2P - Power44.7207.2399.7EPYC 965542.5198.4353.1EPYC 9655 - Power42.2220.3400.8EPYC 975544.7231.4467.8EPYC 9755 - Power44.5242.9501.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 1.69, N = 15SE +/- 1.49, N = 15SE +/- 0.07, N = 5SE +/- 0.06, N = 5SE +/- 0.14, N = 5SE +/- 0.07, N = 5220.17224.00148.79155.23191.78196.93MIN: 192.38 / MAX: 242.25MIN: 198.29 / MAX: 258.4MIN: 146.45 / MAX: 152.13MIN: 152.81 / MAX: 158.1MIN: 188.36 / MAX: 196.2MIN: 193.84 / MAX: 201.41

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.3040.6080.9121.2161.521.3511.2820.8920.8731.0851.045

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1163.0360.6EPYC 9655 2P - Power44.1174.8400.8EPYC 965542.4166.7351.9EPYC 9655 - Power41.9177.8399.6EPYC 975544.6176.7465.2EPYC 9755 - Power44.4188.5500.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 1.81, N = 8SE +/- 0.54, N = 8SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.11, N = 8SE +/- 0.09, N = 8229.69242.28136.80144.66179.45184.61MIN: 202.63 / MAX: 249.19MIN: 218.62 / MAX: 262.46MIN: 133.41 / MAX: 142.65MIN: 141.2 / MAX: 148.79MIN: 175.01 / MAX: 186.64MIN: 180.02 / MAX: 191.76

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.26660.53320.79981.06641.3331.1851.1630.6340.5990.7000.687

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0193.9361.5EPYC 9655 2P - Power43.8208.3400.3EPYC 965542.5215.6352.1EPYC 9655 - Power42.0241.3400.8EPYC 975544.5256.2473.6EPYC 9755 - Power44.3268.8500.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.07, N = 15SE +/- 0.11, N = 15SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 74.544.685.175.495.846.06

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.00590.01180.01770.02360.02950.0240.0220.0260.0260.0240.024

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0192.4300.1EPYC 9655 2P - Power44.1209.5341.4EPYC 965542.4195.8313.9EPYC 9655 - Power41.9208.0343.1EPYC 975544.6239.9408.8EPYC 9755 - Power44.6254.2444.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.06, N = 15SE +/- 0.08, N = 15SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 74.404.785.195.495.856.06

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.00590.01180.01770.02360.02950.0220.0230.0260.0260.0250.024

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1196.3300.5EPYC 9655 2P - Power44.2206.9333.1EPYC 965542.6197.4312.5EPYC 9655 - Power41.8209.4341.9EPYC 975544.6237.3409.6EPYC 9755 - Power44.4256.0440.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.6661.3321.9982.6643.33SE +/- 0.04, N = 12SE +/- 0.04, N = 15SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 5SE +/- 0.00, N = 52.222.322.472.662.852.96

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.00230.00460.00690.00920.01150.0100.0090.0100.0100.0100.009

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1227.2292.8EPYC 9655 2P - Power44.2245.7328.2EPYC 965542.8239.3309.4EPYC 9655 - Power42.2261.6347.2EPYC 975544.8299.1406.1EPYC 9755 - Power44.8322.2443.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power10002000300040005000SE +/- 0.58, N = 3SE +/- 4.36, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 1.86, N = 3463448472814297636543741MIN: 417 / MAX: 52082MIN: 445 / MAX: 53647MIN: 215 / MAX: 36394MIN: 233 / MAX: 37345MIN: 293 / MAX: 42376MIN: 305 / MAX: 43215

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4812162014.99713.9789.3418.7349.1568.868

OpenVKL

CPU Power Consumption Monitor

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

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200K400K600K800K1000KSE +/- 6132.86, N = 3SE +/- 14562.31, N = 3SE +/- 660.09, N = 3SE +/- 1100.58, N = 3SE +/- 3530.77, N = 3SE +/- 3611.53, N = 3107850610954667628917821969081599202721. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200K400K600K800K1000KSE +/- 17629.29, N = 3SE +/- 16773.88, N = 3SE +/- 257.58, N = 3SE +/- 692.69, N = 3SE +/- 276.36, N = 3SE +/- 188.95, N = 3101604010709356266006787958467368822741. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power80016002400320040003560.253362.102211.882145.992269.162232.64

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1285.4371.8EPYC 9655 2P - Power44.4318.5401.2EPYC 965542.5283.3363.2EPYC 9655 - Power42.3316.3401.1EPYC 975544.7373.2482.8EPYC 9755 - Power44.5395.2499.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.25450.5090.76351.0181.2725SE +/- 0.011000, N = 15SE +/- 0.010304, N = 15SE +/- 0.014837, N = 15SE +/- 0.010945, N = 15SE +/- 0.010948, N = 15SE +/- 0.010896, N = 150.8920090.8827921.1313251.0708830.9348960.9126771. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Parallel BZIP2 Compression

CPU Power Consumption Monitor

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

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 2.66, N = 3SE +/- 1.07, N = 3SE +/- 0.88, N = 3SE +/- 0.97, N = 3SE +/- 1.03, N = 3SE +/- 0.85, N = 3871.91872.29870.03863.99795.83795.77

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power36912157.9827.9179.7399.8028.6038.643

Numpy Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0109.2116.8EPYC 9655 2P - Power43.5110.2118.0EPYC 965542.189.396.9EPYC 9655 - Power41.588.194.7EPYC 975544.492.599.7EPYC 9755 - Power44.292.199.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power60120180240300SE +/- 6.77, N = 15SE +/- 7.49, N = 15SE +/- 6.06, N = 15SE +/- 7.29, N = 15SE +/- 7.58, N = 15SE +/- 7.89, N = 15250.39266.96249.29265.77271.92275.541. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.561.121.682.242.82.2282.2372.4892.4662.3532.350

SVT-AV1

CPU Power Consumption Monitor

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

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power60120180240300SE +/- 1.78, N = 15SE +/- 2.21, N = 15SE +/- 1.90, N = 9SE +/- 2.25, N = 9SE +/- 2.17, N = 9SE +/- 2.09, N = 9253.99274.24258.61273.18281.59279.701. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.5781.1561.7342.3122.892.2932.2952.5462.5692.4212.415

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.7110.8244.5EPYC 9655 2P - Power43.8119.5300.8EPYC 965542.3101.6233.5EPYC 9655 - Power41.7106.4268.2EPYC 975544.5116.3294.8EPYC 9755 - Power44.3115.8286.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 1.00, N = 6SE +/- 0.77, N = 15SE +/- 0.62, N = 6SE +/- 0.89, N = 6SE +/- 1.10, N = 7SE +/- 0.88, N = 11109.18113.92107.42112.52118.16121.931. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.18810.37620.56430.75240.94050.7510.7370.8360.8290.7780.772

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0145.4236.4EPYC 9655 2P - Power43.7154.6296.3EPYC 965542.2128.6218.3EPYC 9655 - Power41.7135.7257.6EPYC 975544.5151.9282.0EPYC 9755 - Power44.4158.0307.1OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.07, N = 4SE +/- 0.10, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 411.1911.4111.2911.6811.2811.271. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01620.03240.04860.06480.0810.0650.0630.0720.0700.0690.069

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0171.9261.8EPYC 9655 2P - Power44.0180.3327.6EPYC 965542.4157.8265.0EPYC 9655 - Power41.6166.2301.1EPYC 975544.4164.5329.5EPYC 9755 - Power44.3164.4335.4OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power816243240SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.25, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 335.4535.6435.7036.0134.2134.361. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04730.09460.14190.18920.23650.2100.2080.2060.2030.2020.206

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.7168.5218.1EPYC 9655 2P - Power43.9171.7223.2EPYC 965542.6173.7223.6EPYC 9655 - Power41.7177.1234.7EPYC 975544.6169.0217.8EPYC 9755 - Power44.8167.0217.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.47, N = 14SE +/- 0.69, N = 6SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.06, N = 5SE +/- 0.08, N = 570.6574.8844.4047.7053.4255.531. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.07270.14540.21810.29080.36350.3230.3090.2060.1930.1950.186

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4218.6319.0EPYC 9655 2P - Power44.1241.8360.8EPYC 965542.3215.5278.1EPYC 9655 - Power41.7247.1325.1EPYC 975544.7273.8377.9EPYC 9755 - Power44.6299.0418.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.40, N = 5SE +/- 0.50, N = 6SE +/- 0.06, N = 4SE +/- 0.09, N = 4SE +/- 0.01, N = 5SE +/- 0.03, N = 572.3876.3144.9348.1953.9556.221. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.07630.15260.22890.30520.38150.3390.3170.2100.1990.1970.188

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4213.8314.8EPYC 9655 2P - Power44.5240.5364.0EPYC 965542.7213.7276.1EPYC 9655 - Power42.2241.6325.0EPYC 975544.6273.6378.0EPYC 9755 - Power44.7298.3418.3OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.29, N = 6SE +/- 0.53, N = 6SE +/- 0.23, N = 6SE +/- 0.62, N = 7SE +/- 0.49, N = 7SE +/- 0.32, N = 786.1790.6790.0896.0496.8197.881. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.11160.22320.33480.44640.5580.4610.4370.4960.4600.4280.424

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2187.1277.9EPYC 9655 2P - Power44.2207.4329.4EPYC 965542.5181.6276.2EPYC 9655 - Power41.8208.9333.9EPYC 975544.7226.3360.3EPYC 9755 - Power44.5230.7372.1OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1224364860SE +/- 0.17, N = 4SE +/- 0.17, N = 5SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 4SE +/- 0.03, N = 451.6853.8131.9034.1339.1440.90

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04860.09720.14580.19440.2430.2160.1960.1320.1230.1230.116

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1239.7340.3EPYC 9655 2P - Power44.4274.3374.2EPYC 965542.4240.8292.9EPYC 9655 - Power41.9276.5339.3EPYC 975545.3318.4408.0EPYC 9755 - Power44.5351.5455.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.26, N = 5SE +/- 0.35, N = 5SE +/- 0.05, N = 3SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 454.2456.2535.9538.4043.8545.85

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.05130.10260.15390.20520.25650.2280.2070.1520.1430.1400.132

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4238.3336.8EPYC 9655 2P - Power44.2271.6368.9EPYC 965542.5236.0292.8EPYC 9655 - Power42.2269.3341.0EPYC 975544.6313.9407.2EPYC 9755 - Power44.6347.2454.6OpenBenchmarking.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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.048, N = 3SE +/- 0.042, N = 3SE +/- 0.028, N = 3SE +/- 0.039, N = 39.62310.0919.8109.9481. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01170.02340.03510.04680.05850.0520.0490.0460.046

VVenC

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4184.6269.0EPYC 9655 - Power41.9206.8321.2EPYC 975544.5212.7338.9EPYC 9755 - Power44.3218.4348.9OpenBenchmarking.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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 322.6724.0723.7424.151. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.0250.050.0750.10.1250.1110.1030.0990.099

VVenC

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3203.5276.7EPYC 9655 - Power41.9234.6320.4EPYC 975544.6239.4329.0EPYC 9755 - Power44.5243.6332.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.9631.9262.8893.8524.815SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 74.284.274.274.263.903.891. (CC) gcc options: -fvisibility=hidden -O2 -lm

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01370.02740.04110.05480.06850.0510.0510.0610.0610.0520.052

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.884.0111.8EPYC 9655 2P - Power43.784.4111.8EPYC 965542.270.591.0EPYC 9655 - Power41.970.289.9EPYC 975544.574.693.9EPYC 9755 - Power44.374.693.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power150300450600750SE +/- 7.51, N = 15SE +/- 6.94, N = 15SE +/- 1.30, N = 8SE +/- 1.60, N = 8SE +/- 3.94, N = 8SE +/- 6.53, N = 15598.51607.90566.06605.28701.73709.991. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.18282.36563.54844.73125.9144.8394.5584.8794.9245.2575.218

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.97, N = 15SE +/- 1.29, N = 15SE +/- 0.01, N = 5SE +/- 0.07, N = 5SE +/- 0.02, N = 6SE +/- 0.02, N = 6130.02141.0081.6888.04110.04113.231. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.17480.34960.52440.69920.8740.7550.7770.4580.4650.5410.538

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.9172.3334.9EPYC 9655 2P - Power44.0181.4373.3EPYC 965542.2178.3319.1EPYC 9655 - Power41.9189.5357.4EPYC 975544.5203.3437.2EPYC 9755 - Power44.4210.5458.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.08, N = 4SE +/- 0.25, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 321.4022.5811.5812.4315.7216.161. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01960.03920.05880.07840.0980.0870.0860.0450.0450.0500.049

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.0874, N = 15SE +/- 0.1552, N = 4SE +/- 0.0012, N = 3SE +/- 0.0030, N = 3SE +/- 0.0004, N = 3SE +/- 0.0052, N = 313.032214.01697.10537.63169.65769.91631. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01220.02440.03660.04880.0610.0540.0540.0280.0280.0300.030

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P26.1243.1350.4EPYC 9655 2P - Power44.3261.7386.4EPYC 965542.6256.3324.5EPYC 9655 - Power42.4277.0361.5EPYC 975544.7318.6450.4EPYC 9755 - Power44.5330.8472.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70140210280350SE +/- 3.56, N = 5SE +/- 2.19, N = 3SE +/- 2.08, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 1.00, N = 33343432843033133131. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.4390.8781.3171.7562.1951.9511.9091.5641.5321.5051.482

GraphicsMagick

CPU Power Consumption Monitor

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

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power120240360480600SE +/- 2.08, N = 3SE +/- 1.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 35205633644084554961. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.48740.97481.46221.94962.4372.1662.0271.4211.3371.4051.334

GraphicsMagick

CPU Power Consumption Monitor

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

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power110220330440550SE +/- 1.53, N = 3SE +/- 1.76, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 34754993203544034321. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.41380.82761.24141.65522.0691.8391.7601.1881.1241.1701.140

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P45.0258.4277.0EPYC 9655 2P - Power44.2283.5312.3EPYC 965542.4269.3287.7EPYC 9655 - Power42.3314.9337.9EPYC 975545.0344.3371.9EPYC 9755 - Power44.6379.0406.3OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power600M1200M1800M2400M3000MSE +/- 1211518.79, N = 3SE +/- 1858613.58, N = 3SE +/- 1927289.40, N = 3SE +/- 825294.56, N = 3SE +/- 233333.33, N = 3SE +/- 568624.07, N = 32956733333302143333329372333333022533333278456666727833000001. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2M4M6M8M10M10123389.249206835.3510115911.789187017.729762222.129773579.35

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.6292.1338.1EPYC 9655 2P - Power43.6328.2392.1EPYC 965542.1290.4329.3EPYC 9655 - Power41.7329.0373.4EPYC 975544.7285.2320.1EPYC 9755 - Power44.5284.8321.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000MSE +/- 49681015.82, N = 3SE +/- 30930100.41, N = 3SE +/- 6065476.07, N = 3SE +/- 2315407.33, N = 3SE +/- 14339494.80, N = 3SE +/- 7442296.54, N = 39093100000945043333363276000006640033333849473333385272333331. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power6M12M18M24M30M28121281.8027117623.5920685459.0520071736.0620115931.6319722991.21

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2323.4364.8EPYC 9655 2P - Power44.3348.5394.8EPYC 965542.5305.9344.2EPYC 9655 - Power42.1330.8374.0EPYC 975545.2422.3487.6EPYC 9755 - Power45.0432.3488.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000MSE +/- 38320157.16, N = 3SE +/- 10083374.66, N = 3SE +/- 7992983.03, N = 3SE +/- 2850341.11, N = 3SE +/- 6331139.97, N = 3SE +/- 1068228.02, N = 38926633333921303333362046333336514833333815190000082613666671. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power6M12M18M24M30M27728031.7826314369.5020917606.8120218095.5919710155.4419526843.47

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P45.2321.9365.1EPYC 9655 2P - Power45.4350.1395.1EPYC 965542.7296.6337.9EPYC 9655 - Power42.4322.2362.5EPYC 975544.8413.6472.3EPYC 9755 - Power44.6423.1477.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power800M1600M2400M3200M4000MSE +/- 26473907.49, N = 3SE +/- 19402777.58, N = 3SE +/- 1659651.90, N = 3SE +/- 2781686.14, N = 3SE +/- 3925274.23, N = 3SE +/- 1980179.57, N = 33561366667359813333321527666672188366667285546666728572333331. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2M4M6M8M10M11250500.4411110378.087245928.177176096.557237709.107222449.64

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.7316.6361.2EPYC 9655 2P - Power44.5323.9370.9EPYC 965542.6297.1338.8EPYC 9655 - Power42.3305.0347.1EPYC 975545.4394.5450.7EPYC 9755 - Power44.7395.6451.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power6K12K18K24K30KSE +/- 199.26, N = 12SE +/- 204.92, N = 15SE +/- 146.49, N = 3SE +/- 106.26, N = 3SE +/- 214.06, N = 3SE +/- 134.59, N = 315913.217008.123913.025992.519454.120634.21. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2040608010050.6346.8897.4196.1152.3353.31

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.3314.3343.6EPYC 9655 2P - Power44.8362.8395.0EPYC 965542.2245.5298.2EPYC 9655 - Power41.8270.5338.5EPYC 975544.5371.7421.8EPYC 9755 - Power44.3387.1435.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 7.37, N = 10SE +/- 2.83, N = 10SE +/- 2.24, N = 10SE +/- 1.75, N = 10SE +/- 2.19, N = 9SE +/- 1.37, N = 91056.91066.81076.51071.4994.01002.61. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4812162014.3714.4017.1717.2414.8915.15

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.773.6114.0EPYC 9655 2P - Power43.974.1114.2EPYC 965542.362.791.0EPYC 9655 - Power41.962.190.5EPYC 975544.666.895.1EPYC 9755 - Power44.466.294.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 1.84, N = 3SE +/- 0.71, N = 3SE +/- 1.14, N = 3SE +/- 0.42, N = 3SE +/- 0.65, N = 3SE +/- 0.87, N = 3184.47190.34210.14215.32203.33203.72

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.19240.38480.57720.76960.9620.7680.7060.8550.8370.6590.631

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2240.2278.1EPYC 9655 2P - Power44.6269.5296.3EPYC 965542.3245.8264.3EPYC 9655 - Power42.1257.3275.7EPYC 975544.8308.7332.3EPYC 9755 - Power44.6322.7349.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power5001000150020002500SE +/- 16.25, N = 4SE +/- 19.23, N = 4SE +/- 9.05, N = 4SE +/- 11.52, N = 4SE +/- 2.78, N = 4SE +/- 2.50, N = 41989.892066.991897.882028.182271.952323.46

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power369121511.18911.1439.5679.7559.5589.516

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.9177.8228.7EPYC 9655 2P - Power44.2185.5241.6EPYC 965542.6198.4255.2EPYC 9655 - Power42.3207.9271.4EPYC 975544.8237.7322.8EPYC 9755 - Power44.7244.2339.5OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power150300450600750SE +/- 0.83, N = 3SE +/- 5.52, N = 3SE +/- 2.91, N = 3SE +/- 1.63, N = 3SE +/- 7.40, N = 3SE +/- 8.09, N = 3511.28514.70671.97693.23659.11662.67

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.63341.26681.90022.53363.1672.1561.9432.8152.7472.2432.152

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.8237.2264.1EPYC 9655 2P - Power43.9264.9300.5EPYC 965542.7238.7271.7EPYC 9655 - Power42.2252.3286.9EPYC 975545.0293.8338.6EPYC 9755 - Power44.8308.0353.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 2.10, N = 3SE +/- 0.50, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.52, N = 3SE +/- 0.33, N = 3238.49238.82240.07246.03246.24246.59

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.21490.42980.64470.85961.07450.9550.8880.9170.8920.7300.698

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.3249.9272.9EPYC 9655 2P - Power44.8269.1302.2EPYC 965542.4261.7287.5EPYC 9655 - Power42.0275.8302.0EPYC 975545.1337.2361.7EPYC 9755 - Power44.6353.3380.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power6001200180024003000SE +/- 28.42, N = 4SE +/- 37.18, N = 3SE +/- 1.95, N = 3SE +/- 4.41, N = 3SE +/- 2.64, N = 3SE +/- 15.82, N = 32616.592690.502083.422221.852665.922780.14

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power369121513.01312.8119.3649.4919.5979.623

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.8201.1242.6EPYC 9655 2P - Power44.0210.0256.7EPYC 965542.4222.5265.8EPYC 9655 - Power42.2234.1281.1EPYC 975544.7277.8340.8EPYC 9755 - Power44.6288.9364.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1122334455SE +/- 0.24, N = 7SE +/- 0.17, N = 3SE +/- 0.28, N = 3SE +/- 0.38, N = 3SE +/- 0.29, N = 3SE +/- 0.49, N = 326.3226.5446.7148.8443.6143.25MIN: 17.67 / MAX: 29.73MIN: 24.56 / MAX: 27.7MIN: 44.4 / MAX: 48.11MIN: 46.8 / MAX: 50.35MIN: 41.9 / MAX: 45.08MIN: 40.26 / MAX: 45.01

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04210.08420.12630.16840.21050.0960.0840.1870.1760.1550.154

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.5275.1303.5EPYC 9655 2P - Power44.4314.8342.3EPYC 965542.7250.2286.6EPYC 9655 - Power42.5277.3322.1EPYC 975545.1281.3320.6EPYC 9755 - Power44.7281.5321.1OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.16, N = 12SE +/- 0.17, N = 12SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 4SE +/- 0.18, N = 311.5711.6219.2219.7417.4217.45MIN: 5.56 / MAX: 12.98MIN: 4.7 / MAX: 13.82MIN: 18.55 / MAX: 19.77MIN: 18.97 / MAX: 20.57MIN: 16.53 / MAX: 18.16MIN: 16.79 / MAX: 18.16

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01620.03240.04860.06480.0810.0410.0360.0720.0660.0580.058

PyTorch

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption MonitorEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power60120180240300Min: 44.28 / Avg: 282.78 / Max: 299.89Min: 44.3 / Avg: 321.2 / Max: 347.31Min: 42.8 / Avg: 268.77 / Max: 292.57Min: 42.36 / Avg: 300 / Max: 326.52Min: 44.75 / Avg: 301.14 / Max: 325.98Min: 44.77 / Avg: 301.44 / Max: 326.06

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1122334455SE +/- 0.40, N = 15SE +/- 0.32, N = 15SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 426.9827.3846.5248.5243.8343.77MIN: 18.25 / MAX: 31.34MIN: 17.08 / MAX: 31.28MIN: 44.09 / MAX: 47.73MIN: 46.49 / MAX: 49.53MIN: 41.6 / MAX: 45.11MIN: 41.1 / MAX: 45.21

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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04190.08380.12570.16760.20950.0980.0880.1860.1740.1560.156

PyTorch

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption MonitorEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power60120180240300Min: 44.3 / Avg: 274.26 / Max: 304.56Min: 44.36 / Avg: 310.85 / Max: 346.97Min: 42.58 / Avg: 249.77 / Max: 285.82Min: 42.1 / Avg: 278.46 / Max: 321.4Min: 45.02 / Avg: 281.82 / Max: 320.99Min: 44.59 / Avg: 281.23 / Max: 321.38

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70140210280350SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.41, N = 3SE +/- 0.32, N = 3SE +/- 0.16, N = 3292.34318.19144.65166.34193.80218.201. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70140210280350SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.26, N = 3SE +/- 0.67, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3163.97150.68331.17288.00329.53292.74MIN: 149.81 / MAX: 234.24MIN: 135.35 / MAX: 177.18MIN: 259.06 / MAX: 360.41MIN: 260.94 / MAX: 324.73MIN: 165.13 / MAX: 354.63MIN: 133.4 / MAX: 322.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0283.2307.3EPYC 9655 2P - Power44.7311.1339.4EPYC 965542.9279.1302.3EPYC 9655 - Power42.1323.6353.3EPYC 975545.1364.9401.2EPYC 9755 - Power44.5417.0460.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50K100K150K200K250KSE +/- 2494.88, N = 4SE +/- 477.06, N = 3SE +/- 658.72, N = 3SE +/- 370.35, N = 3SE +/- 1255.01, N = 3SE +/- 729.29, N = 3210660.46212321.99173358.47185028.40190777.83199930.181. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.1080.2160.3240.4320.54SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.200.180.320.310.480.46MIN: 0.16 / MAX: 31.17MIN: 0.16 / MAX: 27.22MIN: 0.13 / MAX: 22.72MIN: 0.12 / MAX: 21.96MIN: 0.13 / MAX: 26.24MIN: 0.13 / MAX: 25.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4243.1262.5EPYC 9655 2P - Power44.4288.7313.3EPYC 965542.8250.6268.5EPYC 9655 - Power42.4277.1309.3EPYC 975545.0337.4363.6EPYC 9755 - Power45.3368.0400.7OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power30060090012001500SE +/- 3.94, N = 3SE +/- 9.29, N = 3SE +/- 0.53, N = 3SE +/- 2.13, N = 3SE +/- 4.77, N = 15SE +/- 6.66, N = 151470.131545.66686.91711.26733.80715.721. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.54, N = 15SE +/- 0.78, N = 1532.6331.0469.7267.3487.1489.40MIN: 27.36 / MAX: 67.99MIN: 26.15 / MAX: 65.39MIN: 33.74 / MAX: 128.03MIN: 32.37 / MAX: 130.06MIN: 35.35 / MAX: 200.15MIN: 30.69 / MAX: 206.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4322.0352.9EPYC 9655 2P - Power44.4348.2380.9EPYC 965542.5321.8347.4EPYC 9655 - Power42.1338.2368.8EPYC 975544.8386.6442.8EPYC 9755 - Power45.0395.7460.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power7K14K21K28K35KSE +/- 18.16, N = 3SE +/- 67.46, N = 3SE +/- 5.45, N = 3SE +/- 3.28, N = 3SE +/- 13.14, N = 3SE +/- 8.27, N = 329775.2133372.0613972.5715518.6518679.3620954.341. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 8.73, N = 3SE +/- 17.68, N = 3SE +/- 13.26, N = 3SE +/- 11.71, N = 3SE +/- 2.97, N = 3SE +/- 6.51, N = 316407.9517500.388123.128699.1711232.2611890.891. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - 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 = 32.922.745.845.445.625.30MIN: 2.03 / MAX: 17.91MIN: 1.88 / MAX: 18.32MIN: 2.3 / MAX: 25.04MIN: 1.9 / MAX: 24.72MIN: 2.01 / MAX: 29.21MIN: 2.08 / MAX: 28.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2290.6313.7EPYC 9655 2P - Power44.2317.6343.6EPYC 965542.5292.6314.7EPYC 9655 - Power42.1315.0337.3EPYC 975544.8395.5423.5EPYC 9755 - Power44.7423.1455.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 31.28, N = 3SE +/- 5.69, N = 3SE +/- 18.33, N = 3SE +/- 11.21, N = 3SE +/- 8.58, N = 3SE +/- 19.66, N = 311417.0212204.116173.616722.708730.889199.751. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.193.937.687.047.226.86MIN: 3.32 / MAX: 17.36MIN: 3.02 / MAX: 20.64MIN: 4.09 / MAX: 22.61MIN: 4.45 / MAX: 21.05MIN: 4.48 / MAX: 26.34MIN: 3.75 / MAX: 24.21. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1259.6286.1EPYC 9655 2P - Power44.4279.0307.2EPYC 965542.5263.1285.0EPYC 9655 - Power42.2283.3306.0EPYC 975545.2355.7388.8EPYC 9755 - Power44.8378.8415.6OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power30060090012001500SE +/- 1.75, N = 3SE +/- 4.43, N = 3SE +/- 3.01, N = 3SE +/- 1.89, N = 3SE +/- 2.99, N = 3SE +/- 2.19, N = 31491.951548.70840.05881.121109.751129.231. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 332.1330.9556.9854.3757.5756.58MIN: 23.03 / MAX: 169.79MIN: 24.71 / MAX: 244.03MIN: 27.41 / MAX: 98.07MIN: 27.11 / MAX: 90.92MIN: 34.99 / MAX: 106.02MIN: 26.76 / MAX: 102.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2313.7347.0EPYC 9655 2P - Power44.2334.8374.4EPYC 965542.7326.6357.1EPYC 9655 - Power42.5345.4381.9EPYC 975544.8437.1487.9EPYC 9755 - Power45.5452.5500.9OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power12K24K36K48K60KSE +/- 128.37, N = 3SE +/- 227.08, N = 3SE +/- 6.01, N = 3SE +/- 33.00, N = 3SE +/- 0.83, N = 3SE +/- 19.02, N = 349343.5655029.5323288.2625130.8531655.5734304.091. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power16003200480064008000SE +/- 12.20, N = 3SE +/- 3.46, N = 3SE +/- 4.42, N = 3SE +/- 4.08, N = 3SE +/- 5.09, N = 3SE +/- 3.19, N = 36976.197387.043506.593680.244774.334802.281. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power11002200330044005500SE +/- 3.52, N = 3SE +/- 12.07, N = 3SE +/- 0.98, N = 3SE +/- 4.89, N = 3SE +/- 2.87, N = 3SE +/- 3.67, N = 34918.445259.252393.862550.683287.433403.961. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.759.1219.9518.6919.3618.68MIN: 7.8 / MAX: 32.13MIN: 6.93 / MAX: 31.05MIN: 10.11 / MAX: 40.96MIN: 9.95 / MAX: 40.46MIN: 9.99 / MAX: 44.41MIN: 9.73 / MAX: 45.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1286.5310.2EPYC 9655 2P - Power44.3314.4338.6EPYC 965542.8273.1294.1EPYC 9655 - Power42.5293.6317.8EPYC 975544.8372.2403.5EPYC 9755 - Power45.1395.4429.3OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 14.09, N = 3SE +/- 7.55, N = 3SE +/- 1.05, N = 3SE +/- 8.52, N = 3SE +/- 14.83, N = 3SE +/- 12.50, N = 318938.6520214.9710064.7510744.4813949.8914033.951. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - 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 = 32.532.374.674.374.484.45MIN: 1.73 / MAX: 16.68MIN: 1.7 / MAX: 15.93MIN: 2.58 / MAX: 20.15MIN: 2.16 / MAX: 18.61MIN: 1.99 / MAX: 22.31MIN: 1.92 / MAX: 23.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.7304.9329.1EPYC 9655 2P - Power44.1336.0362.8EPYC 965542.5300.9324.3EPYC 9655 - Power42.4322.4347.2EPYC 975545.1412.9447.7EPYC 9755 - Power44.7417.8455.0OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 91.27, N = 3SE +/- 101.98, N = 3SE +/- 10.75, N = 3SE +/- 5.58, N = 3SE +/- 33.49, N = 3SE +/- 10.73, N = 311384.8811848.728266.348640.5410557.1610716.321. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.16380.32760.49140.65520.819SE +/- 0.001018, N = 9SE +/- 0.000577, N = 9SE +/- 0.000691, N = 9SE +/- 0.000929, N = 9SE +/- 0.004859, N = 15SE +/- 0.000376, N = 90.6109390.5615430.7279280.6726700.5134170.486509MIN: 0.56MIN: 0.52MIN: 0.63MIN: 0.58MIN: 0.48MIN: 0.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.5118.2211.3EPYC 9655 2P - Power44.0124.3230.1EPYC 965542.5117.2217.9EPYC 9655 - Power42.1122.7234.3EPYC 975544.9156.5315.2EPYC 9755 - Power44.7163.2327.3OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1122334455SE +/- 0.49, N = 15SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.60, N = 3SE +/- 0.48, N = 15SE +/- 0.41, N = 1525.6928.6149.8948.8144.2043.981. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.78, N = 15SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.24, N = 15SE +/- 0.21, N = 1539.1434.9620.0420.4922.6622.771. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 329.9927.6759.2954.4743.0641.861. (CC) gcc options: -O2 -pthread

Helsing

CPU Power Consumption Monitor

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

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90M180M270M360M450MSE +/- 4310907.78, N = 3SE +/- 4378797.88, N = 3SE +/- 3587851.54, N = 15SE +/- 4142878.23, N = 12SE +/- 4338134.07, N = 15SE +/- 4084095.42, N = 154268398814412177672191895432352408593073439233154303161. (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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300K600K900K1200K1500K1237372.891185206.63668223.51654520.00697627.07689321.78

Stockfish

CPU Power Consumption Monitor

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

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.45950.9191.37851.8382.2975SE +/- 0.004, N = 12SE +/- 0.002, N = 13SE +/- 0.004, N = 11SE +/- 0.003, N = 11SE +/- 0.004, N = 12SE +/- 0.003, N = 121.1961.1092.0421.8341.5531.4591. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

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

Primesieve

Length: 1e13

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.03, N = 4SE +/- 0.01, N = 5SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 312.4811.2524.2221.8117.9716.751. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.4254.7343.9EPYC 9655 2P - Power44.2280.3380.9EPYC 965542.2267.8344.1EPYC 9655 - Power42.1296.4377.3EPYC 975544.6342.5459.6EPYC 9755 - Power44.6369.6498.2OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.019, N = 5SE +/- 0.043, N = 5SE +/- 0.010, N = 5SE +/- 0.011, N = 6SE +/- 0.015, N = 5SE +/- 0.020, N = 58.3958.3296.5896.4308.1738.068

Y-Cruncher

CPU Power Consumption Monitor

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

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power30K60K90K120K150KSE +/- 1144.52, N = 3SE +/- 226.78, N = 3SE +/- 329.61, N = 3SE +/- 322.46, N = 3141244.58153599.31133016.39132331.061. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Aircrack-ng

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

Aircrack-ng

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.1251.4299.3EPYC 9655 - Power42.1305.8368.0EPYC 975544.6326.7379.8EPYC 9755 - Power44.6327.1380.8OpenBenchmarking.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 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 22.76 / Avg: 253.2 / Max: 382.79Min: 22.1 / Avg: 280.39 / Max: 402.02Min: 41.04 / Avg: 253.26 / Max: 371.62Min: 21.26 / Avg: 281.8 / Max: 401.73Min: 44.19 / Avg: 324.1 / Max: 500.98Min: 22.8 / Avg: 330.62 / Max: 511.84

Phoronix Test Suite v10.8.5