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&sor.

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

AMD EPYC 5th Gen Benchmarks - Performance vs. Power Determinismbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-llvm: Ninjabuild-mesa: Time To Compilebuild-imagemagick: Time To Compileopenssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305john-the-ripper: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runmemcached: 1:100rocksdb: Rand Readspeedb: Rand Readsecuremark: SecureMark-TLScoremark: CoreMark Size 666 - Iterations Per Secondamg: wrf: conus 2.5kmmt-dgemm: Sustained Floating-Point Ratelulesh: minibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2lammps: Rhodopsin Proteinlammps: 20k Atomsm-queens: Time To Solveaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve MT - Griddingnamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsgromacs: MPI CPU - water_GMX50_barecloverleaf: clover_bm64_shortcloverleaf: clover_bm16quantlib: Multi-Threadedgpaw: Carbon Nanotubepennant: leblancbigpennant: sedovbignpb: LU.Cnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cnwchem: C240 Buckyballincompact3d: input.i3d 193 Cells Per Directionopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlyluxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyopenvkl: vklBenchmarkCPU ISPCcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionnumpy: svt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kx265: Bosphorus 4Kkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterwebp: Quality 100, Highest Compressionastcenc: Mediumastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustivegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpenliquid-dsp: 64 - 256 - 32liquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512srsran: PDSCH Processor Benchmark, Throughput Totalsrsran: PDSCH Processor Benchmark, Throughput Threadtensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - AlexNetpytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-50openvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUonednn: Deconvolution Batch shapes_3d - CPUonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardhelsing: 14 digitstockfish: Chess Benchmarkprimesieve: 1e12primesieve: 1e13y-cruncher: 1Baircrack-ng: EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power23.344201.75513.97883.293109.561128.13288.89313.6699.86869037.72755042.3186660393313723597672402007365351470183776585074711863592944508070098414273230103230001361333698.12729.56724.6413316660.107868965808221028284054546042366.34304731770820005574.36356.40889037645.9739647.496385.9009654.576386.18355.79167.7765.49270762.874093.316464.114.244934.6227722.72922.09178.93465436.823.8222.7612604.393606385558.53194853.918647.62167026.9388208.361326.26.4780453821.4414620.597089120.3457160.3737873.6777.269.4624.0012.5029.7586.6212.7120.9413.9632.0255.176254.392754.395863910154203797531198223981223.2053191.7839179.44945.845.852.8536549081598467360.934896795.83271.924281.589118.16311.27534.2153.4253.9596.8139.1443.859.81023.7433.90701.7315110.038315.71959.6576313455403278456666784947333338151900000285546666719454.1994.0203.332271.95659.11246.242665.9243.6117.4243.83193.80329.53190777.830.48733.8087.1418679.3611232.265.628730.887.221109.7557.5731655.574774.333287.4319.3613949.894.4810557.160.51341744.199922.658643.0573073439231.55317.9688.173133016.39123.339199.60813.90782.933108.747129.00787.66313.6389.86871625.52788354.7186224966223740773306271999939029673183869855052011851553682778063550691873256473252781355000697.07729.06724.3513567376.307944000758219259994060366122915.49491231844133335545.67659.20551437688.0729601.732384.0699659.615386.38557.08669.3625.25570893.574456.51651214.531444.5773422.22322.01179.39463866.624.1282.7064624.108203383678.73197015.008449.11165446.8891585.721301.96.4571834422.85900720.279899120.25556160.7003872.3276.589.5024.2312.4129.4586.8712.7421.1614.4630.8456.524855.276155.47586219878197577321166623412229.2964196.9262184.61366.066.062.9637419202728822740.912677795.77275.540279.701121.92711.27134.3655.5356.2297.8840.9045.859.94824.1513.89709.9896113.225216.15999.9163313496432278330000085272333338261366667285723333320634.21002.6203.722323.46662.67246.592780.1443.2517.4543.77218.20292.74199930.180.46715.7289.4020954.3411890.895.39199.756.861129.2356.5834304.094802.283403.9618.6814033.954.4510716.320.48650943.975522.765341.8573154303161.45916.7468.068132331.06322.713194.47414.09384.134118.698126.33397.57812.7939.52750488.72029271.713762559190753901014490147283515182713445994030879054096342136156273628502378232377391039333740.48755.69763.3912513777.695772153746077696504397154550652.09896430767396676147.33443.19376535503.6855141.082205.6436705.147268.20645.22256.1037.32955898.859791.116317.012.491474.1889117.63221.49175.97341991.727.1883.1365175.478708315803.13154462.837042.53144599.3864867.571334.17.0955534024.69787424.071752114.28075195.1475679.2091.0312.9732.6716.8040.68116.4716.5516.8012.7424.1941.246042.126642.2030869138343096610251629535888172.9986148.7896136.80355.175.192.4728147628916266001.131325870.03249.291258.613107.42211.28535.7044.4044.9390.0831.9035.959.62322.6684.27566.056681.684411.57577.1053284364320293723333363276000006204633333215276666723913.01076.5210.141897.88671.97240.072083.4246.7119.2246.52144.65331.17173358.470.32686.9169.7213972.578123.125.846173.617.68840.0556.9823288.263506.592393.8619.9510064.754.678266.340.72792849.885120.044359.2862191895432.04224.2156.589141244.57822.286187.32113.78182.535114.801125.34794.81112.7019.43354719.22136538.114289037133056670358173153038042717314043980971109081726662876182082660132499452497451042000750.83774.74771.8713608100.126073502956276331214459084746235.87909430859770006043.20646.11930335779.6495509.927220.3976885.049275.40248.09859.2266.69057262.659791.116337.913.133204.3573818.39721.56175.97353852.526.4892.7677685.210719323478.52153956.627285.36144307.5266383.291292.57.1740517622.94106222.2558113.8233192.7864975.3890.0712.2131.4716.1838.33111.3215.9418.2913.2425.7043.936644.463143.846180912875258099551518833652180.8031155.2267144.65715.495.492.6629767821966787951.070883863.99265.769273.179112.51711.68136.0147.7048.1996.0434.1338.4010.09124.0694.26605.277188.035712.43447.6316303408354302253333366400333336514833333218836666725992.51071.4215.322028.18693.23246.032221.8548.8419.7448.52166.34288.00185028.400.31711.2667.3415518.658699.175.446722.707.04881.1254.3725130.853680.242550.6818.6910744.484.378640.540.67267048.814520.490254.4662352408591.83421.8066.430153599.30718.012117.46612.14476.43384.492112.43467.19812.2859.045100988.84049226.327497263760010720475905029495546933702682968686683179611654471712213867056734604164555972001500721.43735.48741.4313798695.25115505897911998719184401268395282.20935459612303333241.00479.59726369266.9307528.093301.12410753.051430.12266.53575.7884.60710616511452513058.427.179607.9366129.47320.67230.37690813.623.7701.8693503.021763589945.23329784.5413161.52237346.22109363.451299.43.4886748422.79757216.816965133.9042888.28909365.6149.736.6616.619.0120.6461.509.6124.3412.3935.3677.534474.199574.4966451714914290532844816987262.0596220.1741229.69064.544.402.224634107850610160400.892009871.91250.394253.989109.18411.18635.4570.6572.3886.1751.6854.244.28598.5116130.017521.396113.0322334520475295673333390931000008926633333356136666715913.21056.9184.471989.89511.28238.492616.5926.3211.5726.98292.34163.97210660.460.21470.1332.6329775.2116407.952.9211417.024.191491.9532.1349343.566976.194918.449.7518938.652.5311384.880.61093925.686039.137529.9874268398811.19612.4778.39517.835115.27112.12776.11086.974112.96366.46212.3499.077108838.94229820.428335531852311222093631330381428515732796096165297179825463159312225333203374742654724982005400728.91736.37747.9514267081.69120142052112413539564421068763837.02232759743583333244.37386.21805769836.3507742.991309.72011200.133448.00569.48478.4514.42910923411808713000.728.762538.1507231.07020.39231.77710294.623.1411.8002692.857291610380.70334250.9713249.55245220.03110940.1412543.4457211921.59263516.157032114.9892686.21336463.0948.436.4016.038.5619.8459.239.3625.8512.4338.5381.550577.319477.4721426673113459506802115981264.4782223.9959242.28424.684.782.324847109546610709350.882792872.29266.963274.240113.91811.40935.6474.8876.3190.6753.8156.254.27607.8989140.996922.578714.0169343563499302143333394504333339213033333359813333317008.11066.8190.342066.99514.70238.822690.5026.5411.6227.38318.19150.68212321.990.181545.6631.0433372.0617500.382.7412204.113.931548.7030.9555029.537387.045259.259.1220214.972.3711848.720.56154328.606834.955227.6744412177671.10911.2478.329OpenBenchmarking.org

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755612182430SE +/- 0.11, N = 14SE +/- 0.12, N = 13SE +/- 0.28, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 317.8418.0122.2922.7123.3423.34

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 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97554080120160200SE +/- 0.83, N = 3SE +/- 0.66, N = 3SE +/- 0.42, N = 3SE +/- 0.40, N = 3SE +/- 1.23, N = 3SE +/- 0.88, N = 3115.27117.47187.32194.47199.61201.76

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 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965548121620SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 412.1312.1413.7813.9113.9814.09

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 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965520406080100SE +/- 0.82, N = 3SE +/- 0.74, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 376.1176.4382.5482.9383.2984.13

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655306090120150SE +/- 0.33, N = 3SE +/- 1.18, N = 3SE +/- 0.66, N = 3SE +/- 0.21, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 384.4986.97108.75109.56114.80118.70

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0231.6365.7EPYC 965542.1265.8361.5EPYC 9655 2P - Power43.1272.3401.2EPYC 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 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power306090120150SE +/- 0.25, N = 3SE +/- 0.58, N = 3SE +/- 1.57, N = 3SE +/- 1.17, N = 3SE +/- 1.52, N = 3SE +/- 0.32, N = 3112.43112.96125.35126.33128.13129.01

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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 366.4667.2087.6688.8994.8197.58

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 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 975548121620SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.07, N = 412.2912.3512.7012.7913.6413.67

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P - Power43.2131.4399.0EPYC 9655 2P43.3132.5362.3EPYC 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 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power3691215SE +/- 0.018, N = 5SE +/- 0.051, N = 5SE +/- 0.036, N = 5SE +/- 0.030, N = 5SE +/- 0.013, N = 5SE +/- 0.035, N = 59.0459.0779.4339.5279.8689.868

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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520K40K60K80K100KSE +/- 311.78, N = 3SE +/- 85.49, N = 3SE +/- 126.11, N = 3SE +/- 15.58, N = 3SE +/- 138.06, N = 3SE +/- 21.59, N = 3108838.9100988.871625.569037.754719.250488.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655900K1800K2700K3600K4500KSE +/- 3942.78, N = 3SE +/- 1533.00, N = 3SE +/- 1824.02, N = 3SE +/- 331.00, N = 3SE +/- 1158.12, N = 3SE +/- 365.28, N = 34229820.44049226.32788354.72755042.32136538.12029271.71. (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 9755EPYC 9755 - PowerEPYC 9655 - Power3K6K9K12K15K12199.1611251.396366.616287.446052.605988.27

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2318.7339.7EPYC 9655 2P43.6331.9364.3EPYC 9655 - Power41.6356.8391.3EPYC 9655 2P - Power43.2375.9398.9EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965560000M120000M180000M240000M300000MSE +/- 384856106.88, N = 3SE +/- 182816536.21, N = 3SE +/- 76407988.26, N = 3SE +/- 109659436.53, N = 3SE +/- 143659903.05, N = 3SE +/- 343661637.22, N = 32833553185232749726376001866603933131862249662231428903713301376255919071. (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 9755EPYC 9755 - PowerEPYC 9655 - Power200M400M600M800M1000M792326368.61745431096.10413951053.97401864487.87395591946.00386706631.41

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4332.5351.5EPYC 9655 2P44.3347.0368.4EPYC 9655 - Power42.0369.5400.4EPYC 9655 2P - Power44.5380.1401.2EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520000M40000M60000M80000M100000MSE +/- 41276678.86, N = 3SE +/- 334242164.38, N = 3SE +/- 46660762.78, N = 3SE +/- 163780192.60, N = 3SE +/- 84288798.91, N = 3SE +/- 85304308.49, N = 3112220936313107204759050740773306277235976724056670358173539010144901. (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 9755EPYC 9755 - PowerEPYC 9655 - Power70M140M210M280M350M311075032.43300082924.18166891800.58161764658.87160962436.45160210243.51

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3323.0337.2EPYC 9655 2P44.8344.6359.9EPYC 9655 - Power42.1353.7370.0EPYC 9655 2P - Power44.3374.0390.3EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655700000M1400000M2100000M2800000M3500000MSE +/- 1171219798.83, N = 3SE +/- 325870485.63, N = 3SE +/- 679943093.73, N = 3SE +/- 2715663243.10, N = 3SE +/- 1180292536.08, N = 3SE +/- 1295376232.10, N = 33038142851573294955469337020073653514701999939029673153038042717314728351518271. (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 9755EPYC 9755 - PowerEPYC 9655 - Power2000M4000M6000M8000M10000M8845889467.798590267340.494714124877.734699217928.954630384700.634600647138.64

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6312.4329.1EPYC 9655 - Power42.2332.6348.8EPYC 9655 2P44.3333.4351.2EPYC 9655 2P - Power44.0353.7368.5EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655600000M1200000M1800000M2400000M3000000MSE +/- 1439419832.95, N = 3SE +/- 3021247793.93, N = 3SE +/- 836488131.91, N = 3SE +/- 2482404044.78, N = 3SE +/- 1492761099.56, N = 3SE +/- 243566219.34, N = 32796096165297268296868668318386985505201837765850747140439809711013445994030871. (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 9755EPYC 9755 - PowerEPYC 9655 - Power2000M4000M6000M8000M10000M8113891234.737877555574.354358545440.704339501704.864242525981.404217409857.51

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3308.5324.7EPYC 9655 2P44.1330.7346.9EPYC 9655 - Power42.3333.0353.4EPYC 9655 2P - Power43.7354.9374.6EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655400000M800000M1200000M1600000M2000000MSE +/- 610791897.39, N = 3SE +/- 200687972.98, N = 3SE +/- 507390352.95, N = 3SE +/- 339596989.72, N = 3SE +/- 218675473.81, N = 3SE +/- 211781187.22, N = 317982546315931796116544717118635929445011851553682779081726662879054096342131. (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 9755EPYC 9755 - PowerEPYC 9655 - Power1100M2200M3300M4400M5500M4948590692.924738784471.832590512735.182532659749.392526667355.762480917067.73

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6349.5368.4EPYC 9655 2P44.3363.0379.1EPYC 9655 - Power42.0366.1400.3EPYC 9655 2P - Power44.8379.5400.8EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655300000M600000M900000M1200000M1500000MSE +/- 840797691.41, N = 3SE +/- 567847363.95, N = 3SE +/- 89801965.81, N = 3SE +/- 403700022.50, N = 3SE +/- 245600409.78, N = 3SE +/- 139220101.42, N = 3122253332033712213867056738070098414278063550691876182082660136156273628501. (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 9755EPYC 9755 - PowerEPYC 9655 - Power700M1400M2100M2800M3500M3416509479.963243864254.541790086074.831746071268.121727334073.191717528135.79

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3343.9362.0EPYC 9655 2P45.2357.5379.0EPYC 9655 - Power42.1359.9392.3EPYC 9655 2P - Power44.3376.9399.4EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655100K200K300K400K500KSE +/- 2042.80, N = 3SE +/- 1429.13, N = 3SE +/- 32.03, N = 3SE +/- 53.35, N = 3SE +/- 83.70, N = 3SE +/- 7.33, N = 34742654604163256473230102499452378231. (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 9755EPYC 9755 - PowerEPYC 9655 - Power300600900120015001478.571400.61792.83778.22774.58764.24

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542300338EPYC 9655 2P44311353EPYC 9655 - Power43327370EPYC 9655 2P - Power45338385EPYC 975545413469EPYC 9755 - Power45420477Xeon 6766E 2P Full108445497Intel Xeon 6980P 2P1178921079OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor2004006008001000

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655100K200K300K400K500KSE +/- 4308.74, N = 3SE +/- 4890.26, N = 4SE +/- 191.99, N = 3SE +/- 45.32, N = 3SE +/- 424.21, N = 3SE +/- 23.62, N = 34724984555973252783230002497452377391. (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 9755EPYC 9755 - PowerEPYC 9655 - Power300600900120015001463.851398.98789.71782.32772.62761.35

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655400K800K1200K1600K2000KSE +/- 20771.62, N = 5SE +/- 18489.19, N = 6SE +/- 1201.85, N = 3SE +/- 1527.53, N = 3SE +/- 1000.00, N = 3SE +/- 1855.92, N = 32005400200150013613331355000104200010393331. (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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power130026003900520065006164.886123.953396.833375.513348.483341.69

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4310.4352.3EPYC 9655 - Power42.1311.8351.7EPYC 9655 2P44.4324.7367.1EPYC 9655 2P - Power45.1327.5368.5EPYC 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 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - Power160320480640800SE +/- 1.82, N = 3SE +/- 1.08, N = 3SE +/- 6.47, N = 3SE +/- 2.73, N = 3SE +/- 6.12, N = 3SE +/- 5.79, N = 3750.83740.48728.91721.43698.12697.07MIN: 73.53 / MAX: 7500MIN: 68.57 / MAX: 8571.43MIN: 105.45 / MAX: 6666.67MIN: 107.91 / 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 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 4.08, N = 3SE +/- 5.05, N = 3SE +/- 8.92, N = 3SE +/- 5.84, N = 3SE +/- 5.27, N = 3SE +/- 5.61, N = 3774.74755.69736.37735.48729.56729.06MIN: 73.71 / MAX: 8571.43MIN: 69.93 / MAX: 7500MIN: 113.42 / MAX: 6666.67MIN: 110.29 / MAX: 7500MIN: 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 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - Power170340510680850SE +/- 2.15, N = 3SE +/- 0.75, N = 3SE +/- 3.66, N = 3SE +/- 2.38, N = 3SE +/- 4.70, N = 3SE +/- 0.97, N = 3771.87763.39747.95741.43724.64724.35MIN: 73.53 / MAX: 8571.43MIN: 69.36 / MAX: 8571.43MIN: 110.5 / MAX: 7500MIN: 105.26 / MAX: 7500MIN: 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 9655EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - Power1.03842.07683.11524.15365.1924.6154.5614.5524.5324.4314.420

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4163.5407.0EPYC 9655 2P44.1163.6297.5EPYC 9755 - Power44.2163.9418.1EPYC 9655 2P - Power43.9164.3317.3EPYC 965541.9165.4302.9EPYC 9655 - Power41.9169.2357.0OpenBenchmarking.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 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96553M6M9M12M15MSE +/- 58584.80, N = 3SE +/- 32915.29, N = 3SE +/- 107977.86, N = 3SE +/- 127571.69, N = 3SE +/- 136953.60, N = 3SE +/- 51257.47, N = 314267081.6913798695.2513608100.1213567376.3013316660.1012513777.691. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9655 2PEPYC 9655EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9755 - PowerEPYC 975511K22K33K44K55K50454.7547921.2445342.5143796.4738436.4037790.62

Memcached

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2261.1299.8EPYC 9655 2P44.1273.5317.0EPYC 9655 - Power42.0310.7360.6EPYC 9655 2P - Power44.4314.7365.7EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655300M600M900M1200M1500MSE +/- 3806633.26, N = 3SE +/- 3941921.08, N = 3SE +/- 646946.28, N = 3SE +/- 5260460.78, N = 3SE +/- 463544.96, N = 3SE +/- 4322874.61, N = 3120142052111550589797944000757868965806073502955772153741. (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 9755 - PowerEPYC 9755EPYC 9655 - Power800K1600K2400K3200K4000K3561086.453514357.171918650.381905830.821894471.541878922.22

RocksDB

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4300.8323.1EPYC 9655 - Power42.3323.2345.2EPYC 9655 2P44.9324.4346.7EPYC 9655 2P - Power44.3341.9364.5EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655300M600M900M1200M1500MSE +/- 1881332.70, N = 3SE +/- 1997067.74, N = 3SE +/- 707549.54, N = 3SE +/- 300359.50, N = 3SE +/- 707531.18, N = 3SE +/- 696066.18, N = 3124135395611998719188221028288219259996276331216077696501. (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 9755EPYC 9755 - PowerEPYC 9655 - Power800K1600K2400K3200K4000K3681905.183636125.581998985.071969975.351967243.951950554.66

Speedb

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3304.0324.6EPYC 9655 - Power42.1321.8343.8EPYC 9655 2P44.1325.9347.4EPYC 9655 2P - Power44.2341.4365.7EPYC 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 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9755 - PowerEPYC 9755100K200K300K400K500KSE +/- 206.31, N = 3SE +/- 4246.49, N = 3SE +/- 3644.76, N = 3SE +/- 5047.30, N = 3SE +/- 1638.17, N = 3SE +/- 809.78, N = 34459084421064401264397154060364054541. (CC) gcc options: -pedantic -O3

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks Per Watt, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P110022003300440055005124.054993.064437.204428.714042.454042.38

SecureMark

CPU Power Consumption Monitor

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

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552M4M6M8M10MSE +/- 40995.91, N = 3SE +/- 47498.43, N = 3SE +/- 17530.74, N = 3SE +/- 10789.95, N = 3SE +/- 24173.23, N = 3SE +/- 8964.82, N = 38763837.028395282.216122915.496042366.344746235.884550652.101. (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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power6K12K18K24K30K27913.2125953.1114585.7414350.0914303.0313758.81

Coremark

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0300.8367.3EPYC 965541.8318.2348.1EPYC 9655 2P - Power44.0337.7399.3EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551300M2600M3900M5200M6500MSE +/- 16519338.83, N = 3SE +/- 18981834.93, N = 3SE +/- 2174206.39, N = 3SE +/- 6342005.91, N = 3SE +/- 3204898.91, N = 3SE +/- 4068843.09, N = 35974358333596123033331844133333177082000308597700030767396671. (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 965541.9266.1338.1EPYC 9655 2P43.5271.6350.0EPYC 9655 2P - Power43.7309.8401.2EPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655130026003900520065003241.003244.375545.685574.366043.216147.331. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

WRF

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorEPYC 9655EPYC 9655 2PEPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 41.97 / Avg: 340.67 / Max: 360.85Min: 43.94 / Avg: 352.06 / Max: 367.99Min: 41.87 / Avg: 386.4 / Max: 400.07Min: 45.25 / Avg: 393.61 / Max: 400.44Min: 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.18, N = 10SE +/- 0.17, N = 9SE +/- 0.20, N = 8SE +/- 0.18, N = 8SE +/- 0.15, N = 7SE +/- 0.15, N = 786.2279.6059.2156.4146.1243.191. (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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.11180.22360.33540.44720.5590.4970.4810.2460.2380.2190.208

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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965515K30K45K60K75KSE +/- 1071.97, N = 15SE +/- 1045.33, N = 15SE +/- 426.75, N = 15SE +/- 450.61, N = 15SE +/- 570.38, N = 15SE +/- 535.60, N = 1569836.3569266.9337688.0737645.9735779.6535503.691. (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 965542.1213.4333.7EPYC 9655 2P44.1226.2340.2EPYC 9655 - Power41.9231.4369.4EPYC 9655 2P - Power44.2246.1384.6EPYC 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 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 66.65, N = 11SE +/- 19.04, N = 10SE +/- 227.27, N = 13SE +/- 207.48, N = 15SE +/- 30.12, N = 8SE +/- 36.48, N = 89647.509601.737742.997528.095509.935141.081. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 965580160240320400SE +/- 2.67, N = 11SE +/- 0.76, N = 10SE +/- 9.09, N = 13SE +/- 8.30, N = 15SE +/- 1.20, N = 8SE +/- 1.46, N = 8385.90384.07309.72301.12220.40205.641. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9655 - Power0.48240.96481.44721.92962.4122.1442.0581.9541.8861.1941.188

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0154.1346.7EPYC 9655 2P - Power43.8164.2373.1EPYC 965542.2172.2314.3EPYC 975544.4180.0458.2EPYC 9655 - Power41.9185.5349.7EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 107.41, N = 15SE +/- 132.52, N = 15SE +/- 98.24, N = 4SE +/- 76.86, N = 4SE +/- 53.97, N = 3SE +/- 42.42, N = 311200.1310753.059659.629654.586885.056705.151. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655100200300400500SE +/- 4.30, N = 15SE +/- 5.30, N = 15SE +/- 3.93, N = 4SE +/- 3.07, N = 4SE +/- 2.16, N = 3SE +/- 1.70, N = 3448.01430.12386.39386.18275.40268.211. (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 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power0.35550.7111.06651.4221.77751.5801.5641.1001.0870.9480.921

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2272.2357.3EPYC 965542.0282.8341.8EPYC 9655 2P - Power44.2286.4378.8EPYC 9655 - Power41.8298.9373.3EPYC 9755 - Power44.5351.1458.7EPYC 975544.7355.4459.9OpenBenchmarking.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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551530456075SE +/- 0.65, N = 7SE +/- 0.29, N = 7SE +/- 0.45, N = 10SE +/- 0.31, N = 10SE +/- 0.32, N = 11SE +/- 0.32, N = 1569.4866.5457.0955.7948.1045.221. (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 - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 96550.10710.21420.32130.42840.53550.4760.4590.4560.4520.4460.444

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.52, N = 378.4575.7969.3667.7859.2356.101. (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 965542.2334.9355.5EPYC 9655 2P - Power44.8371.7399.2EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655246810SE +/- 0.073, N = 15SE +/- 0.077, N = 15SE +/- 0.018, N = 7SE +/- 0.025, N = 7SE +/- 0.031, N = 6SE +/- 0.013, N = 64.4294.6075.2555.4926.6907.3291. (CXX) g++ options: -fopenmp -O2 -march=native

m-queens

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P22.8197.4338.4EPYC 965542.2215.2315.9EPYC 9655 2P - Power44.2220.8391.9EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520K40K60K80K100KSE +/- 1248.33, N = 3SE +/- 1206.67, N = 3SE +/- 519.97, N = 15SE +/- 395.30, N = 3SE +/- 601.20, N = 3SE +/- 328.80, N = 3109234.0106165.070893.570762.857262.655898.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965530K60K90K120K150KSE +/- 733.67, N = 3SE +/- 1202.40, N = 3SE +/- 308.95, N = 15SE +/- 438.43, N = 3SE +/- 380.83, N = 3SE +/- 380.83, N = 3118087.0114525.074456.574093.359791.159791.11. (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 9755EPYC 9755 - PowerEPYC 9655 - Power90180270360450402.74357.39209.31207.54205.38178.18

ASKAP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.6284.4361.2EPYC 965542.0285.7357.7EPYC 9655 2P - Power44.0330.4400.1EPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2PEPYC 9655 2P - Power4K8K12K16K20KSE +/- 2.31, N = 3SE +/- 0.00, N = 3SE +/- 22.76, N = 3SE +/- 10.86, N = 3SE +/- 18.59, N = 3SE +/- 81.25, N = 316512.016464.116337.916317.013058.413000.71. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655714212835SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.02, N = 7SE +/- 0.02, N = 728.7627.1814.5314.2413.1312.49

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04590.09180.13770.18360.22950.2040.1940.0700.0690.0660.065

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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655246810SE +/- 0.08274, N = 3SE +/- 0.01771, N = 3SE +/- 0.00697, N = 3SE +/- 0.01359, N = 3SE +/- 0.00449, N = 3SE +/- 0.00164, N = 38.150727.936614.622774.577344.357384.18891

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 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 97550.01170.02340.03510.04680.05850.0520.0510.0180.0170.0160.016

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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655714212835SE +/- 0.12, N = 3SE +/- 0.30, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 331.0729.4722.7322.2218.4017.631. (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 9755EPYC 9655 - PowerEPYC 9755 - Power0.02570.05140.07710.10280.12850.1140.1090.0660.0650.0630.062

GROMACS

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0258.2370.6EPYC 965542.2266.4347.6EPYC 9655 2P - Power44.3283.9399.7EPYC 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 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755510152025SE +/- 0.16, N = 15SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 320.3920.6721.4921.5622.0122.091. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2PEPYC 9655 2P - Power50100150200250SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 1.12, N = 3SE +/- 0.80, N = 3175.97175.97178.93179.39230.37231.771. (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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655150K300K450K600K750KSE +/- 723.87, N = 3SE +/- 310.97, N = 3SE +/- 401.79, N = 3SE +/- 359.42, N = 3SE +/- 316.52, N = 3SE +/- 414.37, N = 3710294.6690813.6465436.8463866.6353852.5341991.71. (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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power50010001500200025002158.992113.911146.371137.921136.471116.73

QuantLib

CPU Power Consumption Monitor

MinAvgMaxEPYC 965541.9300.9345.9EPYC 9655 - Power41.9316.9399.5EPYC 9655 2P43.8320.0360.5EPYC 9655 2P - Power44.0336.0397.6EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655612182430SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 323.1423.7723.8224.1326.4927.191. (CC) gcc options: -shared -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4284.9376.8EPYC 965542.6307.5363.6EPYC 9655 2P - Power44.8307.6399.5EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.70571.41142.11712.82283.5285SE +/- 0.022392, N = 15SE +/- 0.032998, N = 15SE +/- 0.059060, N = 15SE +/- 0.045208, N = 15SE +/- 0.064100, N = 15SE +/- 0.087065, N = 151.8002691.8693502.7064622.7612602.7677683.1365171. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1170.6358.9EPYC 9655 - Power42.0171.1370.8EPYC 965542.5171.4339.9EPYC 9655 2P - Power44.2173.1389.3EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551.23272.46543.69814.93086.1635SE +/- 0.036612, N = 15SE +/- 0.042880, N = 15SE +/- 0.054249, N = 15SE +/- 0.073388, N = 15SE +/- 0.045321, N = 15SE +/- 0.054129, N = 152.8572913.0217634.1082034.3936065.2107195.4787081. (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 9755 - Power44.4243.8486.1EPYC 975544.5248.9471.5OpenBenchmarking.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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655130K260K390K520K650KSE +/- 6165.72, N = 6SE +/- 3426.11, N = 6SE +/- 5529.34, N = 15SE +/- 4917.65, N = 15SE +/- 1953.53, N = 6SE +/- 1611.44, N = 6610380.70589945.23385558.53383678.73323478.52315803.131. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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 9755EPYC 9755 - PowerEPYC 9655 - Power70014002100280035003149.313031.251431.331391.901335.301287.44

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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power70K140K210K280K350KSE +/- 1406.41, N = 6SE +/- 2950.53, N = 5SE +/- 629.86, N = 5SE +/- 878.07, N = 5SE +/- 367.39, N = 5SE +/- 412.37, N = 5334250.97329784.54197015.00194853.91154462.83153956.621. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power4008001200160020001690.671501.60644.42638.95619.92549.18

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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 116.48, N = 15SE +/- 91.78, N = 15SE +/- 55.66, N = 6SE +/- 80.37, N = 15SE +/- 64.97, N = 6SE +/- 41.67, N = 613249.5513161.528647.628449.117285.367042.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power2040608010078.1973.4540.0438.1136.7535.30

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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power50K100K150K200K250KSE +/- 4683.24, N = 15SE +/- 3226.17, N = 15SE +/- 1302.88, N = 15SE +/- 1273.22, N = 15SE +/- 1820.15, N = 15SE +/- 1911.09, N = 15245220.03237346.22167026.93165446.88144599.38144307.521. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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 9755EPYC 9655 - PowerEPYC 9755 - Power4008001200160020001822.651806.341272.731197.561175.301148.15

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.1113.6329.5EPYC 9655 - Power42.0122.8380.2EPYC 9655 2P44.1130.2317.6EPYC 9655 2P - Power44.0135.8355.9EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520K40K60K80K100KSE +/- 946.98, N = 15SE +/- 1014.34, N = 15SE +/- 716.44, N = 10SE +/- 618.06, N = 15SE +/- 526.39, N = 15SE +/- 750.66, N = 15110940.14109363.4591585.7288208.3666383.2964867.571. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power160320480640800750.69710.80507.34491.65420.91388.54

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1145.7357.3EPYC 965542.0154.1349.3EPYC 9655 2P - Power43.9156.1397.3EPYC 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 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655300600900120015001254.01292.51299.41301.91326.21334.11. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

NWChem

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorEPYC 9655EPYC 9655 2PEPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 42.34 / Avg: 346.39 / Max: 369.48Min: 43.79 / Avg: 360.39 / Max: 378.4Min: 41.84 / Avg: 375.23 / Max: 399.59Min: 44.02 / Avg: 391.49 / Max: 399.98Min: 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power246810SE +/- 0.01525858, N = 6SE +/- 0.00772957, N = 6SE +/- 0.01593429, N = 6SE +/- 0.01274608, N = 6SE +/- 0.03188987, N = 5SE +/- 0.07400503, N = 53.445721193.488674846.457183446.478045387.095553407.174051761. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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 9755EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 - PowerEPYC 965561218243021.4421.5922.8022.8622.9424.701. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965561218243016.1616.8220.2820.6022.2624.071. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0289.0370.3EPYC 965542.3304.0363.0EPYC 9655 2P - Power43.8311.1399.7EPYC 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 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655 2P306090120150113.82114.28114.99120.26120.35133.901. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655408012016020086.2188.29160.37160.70192.79195.151. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3331.2360.0EPYC 9655 2P44.7340.4378.5EPYC 9655 2P - Power44.4363.6400.0EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 363.0965.6172.3273.6775.3879.20

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.6315.8368.4EPYC 965543.0322.6361.0EPYC 9655 2P - Power44.3338.7399.9EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 348.4349.7376.5877.2690.0791.03

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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96553691215SE +/- 0.02, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 4SE +/- 0.05, N = 46.406.669.469.5012.2112.97

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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655816243240SE +/- 0.03, N = 4SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 316.0316.6124.0024.2331.4732.67

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2290.2361.7EPYC 965542.6302.8340.2EPYC 9655 2P - Power44.3306.6382.8EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965548121620SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.06, N = 3SE +/- 0.11, N = 38.569.0112.4112.5016.1816.80

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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655918273645SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 319.8420.6429.4529.7538.3340.68

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.5292.6358.9EPYC 965542.6299.9333.6EPYC 9655 2P - Power44.4310.6387.3EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655306090120150SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 359.2361.5086.6286.87111.32116.47

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8334.1355.5EPYC 9655 2P44.2334.2378.2EPYC 9655 2P - Power44.4356.6401.1EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965548121620SE +/- 0.05, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 39.369.6112.7112.7415.9416.55

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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655612182430SE +/- 0.05, N = 3SE +/- 0.51, N = 12SE +/- 0.21, N = 3SE +/- 0.33, N = 15SE +/- 0.23, N = 15SE +/- 0.17, N = 1525.8524.3421.1620.9418.2916.80MIN: 24.44 / MAX: 38.15MIN: 21.68 / MAX: 36.31MIN: 20.29 / MAX: 27.72MIN: 19.5 / MAX: 27MIN: 16.97 / MAX: 21.39MIN: 15.67 / MAX: 20.23

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 965542.5312.9342.7EPYC 9655 2P43.8313.7364.7EPYC 9655 - Power42.0356.6389.4EPYC 9655 2P - Power44.6364.4401.0EPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P48121620SE +/- 0.19, N = 3SE +/- 0.14, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 15SE +/- 0.21, N = 1514.4613.9613.2412.7412.4312.39MIN: 7.35 / MAX: 16.92MIN: 6.55 / MAX: 16.95MIN: 6.48 / MAX: 15.17MIN: 6.13 / MAX: 14.49MIN: 5.65 / MAX: 16.74MIN: 5.44 / MAX: 16.29

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01010.02020.03030.04040.05050.0450.0440.0410.0390.0380.035

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2278.4334.1EPYC 965542.6286.9320.8EPYC 9655 2P - Power44.4319.2381.8EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655918273645SE +/- 0.90, N = 15SE +/- 0.53, N = 14SE +/- 0.52, N = 15SE +/- 0.35, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 338.5335.3632.0230.8425.7024.19MIN: 30.95 / MAX: 59.82MIN: 29.34 / MAX: 57.89MIN: 26.48 / MAX: 43.04MIN: 26.95 / MAX: 43.78MIN: 22.87 / MAX: 34.83MIN: 21.58 / MAX: 32.81

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 965542.5300.7347.5EPYC 9655 2P44.5302.8370.2EPYC 9655 - Power42.4339.5384.3EPYC 9655 2P - Power44.7349.9401.8EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 381.5577.5356.5255.1843.9441.25

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 9755EPYC 9655 - PowerEPYC 9755 - Power0.05380.10760.16140.21520.2690.2390.2280.1340.1300.1280.127

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7307.6338.1EPYC 9655 2P44.3325.0364.5EPYC 9655 - Power42.1343.7379.2EPYC 9655 2P - Power44.5357.9400.7EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 377.3274.2055.2854.3944.4642.13

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 965542.6311.6323.3EPYC 9655 2P44.5323.7340.1EPYC 9655 - Power42.2351.4365.7EPYC 9655 2P - Power44.5357.0374.4EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 377.4774.5055.4854.4043.8542.20

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 9755EPYC 9755 - PowerEPYC 9655 - Power0.0560.1120.1680.2240.280.2490.2350.1510.1440.1430.137

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6279.1323.8EPYC 9655 2P45.0299.7339.8EPYC 9655 - Power42.1320.2371.2EPYC 9655 2P - Power44.8329.1374.5EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552004006008001000SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3426451621639809869

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7279.6339.9EPYC 9655 2P44.3299.4365.0EPYC 9655 - Power42.1311.4383.4EPYC 9655 2P - Power44.4330.6400.6EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 8.19, N = 3SE +/- 10.60, N = 3SE +/- 5.49, N = 3SE +/- 3.71, N = 3SE +/- 20.87, N = 3SE +/- 19.97, N = 3673171499878101541287513834

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7299.1339.3EPYC 9655 - Power42.1316.7385.0EPYC 9655 2P45.0318.2364.2EPYC 9655 2P - Power44.5343.4401.2EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96557K14K21K28K35KSE +/- 23.46, N = 3SE +/- 16.68, N = 3SE +/- 10.68, N = 3SE +/- 39.68, N = 3SE +/- 33.02, N = 3SE +/- 52.17, N = 3134591429019757203792580930966

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5248.9338.6EPYC 9655 2P44.4321.6364.2EPYC 9655 - Power42.3334.6384.7EPYC 9655 2P - Power44.8349.9400.8EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552004006008001000SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 35065327327539551025

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5282.1344.1EPYC 9655 2P44.6302.4366.1EPYC 9655 - Power42.3315.1387.0EPYC 9655 2P - Power44.3329.9401.1EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 6.66, N = 3SE +/- 11.68, N = 3SE +/- 3.61, N = 3SE +/- 14.19, N = 3SE +/- 15.94, N = 3SE +/- 14.29, N = 38021844811666119821518816295

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6281.5342.6EPYC 9655 - Power42.1314.0390.6EPYC 9655 2P44.8314.3366.2EPYC 9655 2P - Power44.5322.4401.2EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96558K16K24K32K40KSE +/- 37.47, N = 3SE +/- 31.56, N = 3SE +/- 33.06, N = 3SE +/- 32.92, N = 3SE +/- 49.64, N = 3SE +/- 11.68, N = 3159811698723412239813365235888

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7263.3342.2EPYC 9655 - Power42.1289.0388.6EPYC 9655 2P44.5303.6365.5EPYC 9655 2P - Power44.8330.9401.2EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965560120180240300SE +/- 1.39, N = 8SE +/- 2.22, N = 15SE +/- 0.05, N = 9SE +/- 0.06, N = 8SE +/- 0.07, N = 8SE +/- 0.11, N = 8264.48262.06229.30223.21180.80173.00MIN: 212.5 / MAX: 306.56MIN: 209.29 / MAX: 297.79MIN: 226.03 / MAX: 234.63MIN: 219.93 / MAX: 227.73MIN: 178.16 / MAX: 184.07MIN: 170.04 / MAX: 176.59

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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.31640.63280.94921.26561.5821.4061.2760.9650.9440.8720.821

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4186.4361.8EPYC 965542.5198.4353.1EPYC 9655 2P - Power44.7207.2399.7EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965550100150200250SE +/- 1.49, N = 15SE +/- 1.69, N = 15SE +/- 0.07, N = 5SE +/- 0.14, N = 5SE +/- 0.06, N = 5SE +/- 0.07, N = 5224.00220.17196.93191.78155.23148.79MIN: 198.29 / MAX: 258.4MIN: 192.38 / MAX: 242.25MIN: 193.84 / MAX: 201.41MIN: 188.36 / MAX: 196.2MIN: 152.81 / MAX: 158.1MIN: 146.45 / MAX: 152.13

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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.3040.6080.9121.2161.521.3511.2821.0851.0450.8920.873

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1163.0360.6EPYC 965542.4166.7351.9EPYC 9655 2P - Power44.1174.8400.8EPYC 975544.6176.7465.2EPYC 9655 - Power41.9177.8399.6EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965550100150200250SE +/- 0.54, N = 8SE +/- 1.81, N = 8SE +/- 0.09, N = 8SE +/- 0.11, N = 8SE +/- 0.03, N = 7SE +/- 0.03, N = 7242.28229.69184.61179.45144.66136.80MIN: 218.62 / MAX: 262.46MIN: 202.63 / MAX: 249.19MIN: 180.02 / MAX: 191.76MIN: 175.01 / MAX: 186.64MIN: 141.2 / MAX: 148.79MIN: 133.41 / MAX: 142.65

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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.26660.53320.79981.06641.3331.1851.1630.7000.6870.6340.599

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.11, N = 15SE +/- 0.07, N = 156.065.845.495.174.684.54

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 - PowerEPYC 9655EPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 2P - Power0.00590.01180.01770.02360.02950.0260.0260.0240.0240.0240.022

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.0192.4300.1EPYC 965542.4195.8313.9EPYC 9655 - Power41.9208.0343.1EPYC 9655 2P - Power44.1209.5341.4EPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.08, N = 15SE +/- 0.06, N = 156.065.855.495.194.784.40

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 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P0.00590.01180.01770.02360.02950.0260.0260.0250.0240.0230.022

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1196.3300.5EPYC 965542.6197.4312.5EPYC 9655 2P - Power44.2206.9333.1EPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P0.6661.3321.9982.6643.33SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.04, N = 15SE +/- 0.04, N = 122.962.852.662.472.322.22

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 - PowerEPYC 9655EPYC 9755EPYC 9655 2P - PowerEPYC 9755 - Power0.00230.00460.00690.00920.01150.0100.0100.0100.0100.0090.009

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1227.2292.8EPYC 965542.8239.3309.4EPYC 9655 2P - Power44.2245.7328.2EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965510002000300040005000SE +/- 4.36, N = 3SE +/- 0.58, N = 3SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3484746343741365429762814MIN: 445 / MAX: 53647MIN: 417 / MAX: 52082MIN: 305 / MAX: 43215MIN: 293 / MAX: 42376MIN: 233 / MAX: 37345MIN: 215 / MAX: 36394

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power4812162014.99713.9789.3419.1568.8688.734

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorEPYC 9655EPYC 9655 2PEPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 42.34 / Avg: 301.24 / Max: 356.28Min: 44.11 / Avg: 308.99 / Max: 365.22Min: 41.86 / Avg: 340.72 / Max: 401.18Min: 44.43 / Avg: 346.75 / Max: 401.45Min: 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655200K400K600K800K1000KSE +/- 14562.31, N = 3SE +/- 6132.86, N = 3SE +/- 3611.53, N = 3SE +/- 3530.77, N = 3SE +/- 1100.58, N = 3SE +/- 660.09, N = 3109546610785069202729081597821967628911. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655200K400K600K800K1000KSE +/- 16773.88, N = 3SE +/- 17629.29, N = 3SE +/- 188.95, N = 3SE +/- 276.36, N = 3SE +/- 692.69, N = 3SE +/- 257.58, N = 3107093510160408822748467366787956266001. (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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power80016002400320040003560.253362.102269.162232.642211.882145.99

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5283.3363.2EPYC 9655 2P44.1285.4371.8EPYC 9655 - Power42.3316.3401.1EPYC 9655 2P - Power44.4318.5401.2EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.25450.5090.76351.0181.2725SE +/- 0.010304, N = 15SE +/- 0.011000, N = 15SE +/- 0.010896, N = 15SE +/- 0.010948, N = 15SE +/- 0.010945, N = 15SE +/- 0.014837, N = 150.8827920.8920090.9126770.9348961.0708831.1313251. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Parallel BZIP2 Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.087.4253.1EPYC 965542.489.6271.2EPYC 9655 - Power41.894.5305.7EPYC 9655 2P - Power43.895.4301.1EPYC 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 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 1.07, N = 3SE +/- 2.66, N = 3SE +/- 0.88, N = 3SE +/- 0.97, N = 3SE +/- 1.03, N = 3SE +/- 0.85, N = 3872.29871.91870.03863.99795.83795.77

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2PEPYC 9655 2P - Power36912159.8029.7398.6438.6037.9827.917

Numpy Benchmark

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 965560120180240300SE +/- 7.89, N = 15SE +/- 7.58, N = 15SE +/- 7.49, N = 15SE +/- 7.29, N = 15SE +/- 6.77, N = 15SE +/- 6.06, N = 15275.54271.92266.96265.77250.39249.291. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P0.561.121.682.242.82.4892.4662.3532.3502.2372.228

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655EPYC 9655 2P60120180240300SE +/- 2.17, N = 9SE +/- 2.09, N = 9SE +/- 2.21, N = 15SE +/- 2.25, N = 9SE +/- 1.90, N = 9SE +/- 1.78, N = 15281.59279.70274.24273.18258.61253.991. (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 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P0.5781.1561.7342.3122.892.5692.5462.4212.4152.2952.293

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 9655306090120150SE +/- 0.88, N = 11SE +/- 1.10, N = 7SE +/- 0.77, N = 15SE +/- 0.89, N = 6SE +/- 1.00, N = 6SE +/- 0.62, N = 6121.93118.16113.92112.52109.18107.421. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.18810.37620.56430.75240.94050.8360.8290.7780.7720.7510.737

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2128.6218.3EPYC 9655 - Power41.7135.7257.6EPYC 9655 2P44.0145.4236.4EPYC 975544.5151.9282.0EPYC 9655 2P - Power43.7154.6296.3EPYC 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 - PowerEPYC 9655 2P - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P3691215SE +/- 0.08, N = 4SE +/- 0.10, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.07, N = 411.6811.4111.2911.2811.2711.191. (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 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655 2PEPYC 9655 2P - Power0.01620.03240.04860.06480.0810.0720.0700.0690.0690.0650.063

SVT-AV1

CPU Power Consumption Monitor

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

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755816243240SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 336.0135.7035.6435.4534.3634.211. (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 9755 - PowerEPYC 9655 - PowerEPYC 97550.04730.09460.14190.18920.23650.2100.2080.2060.2060.2030.202

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 9755 - Power44.8167.0217.5EPYC 9655 2P43.7168.5218.1EPYC 975544.6169.0217.8EPYC 9655 2P - Power43.9171.7223.2EPYC 965542.6173.7223.6EPYC 9655 - Power41.7177.1234.7OpenBenchmarking.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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.69, N = 6SE +/- 0.47, N = 14SE +/- 0.08, N = 5SE +/- 0.06, N = 5SE +/- 0.08, N = 4SE +/- 0.03, N = 474.8870.6555.5353.4247.7044.401. (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 9755EPYC 9655 - PowerEPYC 9755 - Power0.07270.14540.21810.29080.36350.3230.3090.2060.1950.1930.186

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3215.5278.1EPYC 9655 2P44.4218.6319.0EPYC 9655 2P - Power44.1241.8360.8EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.50, N = 6SE +/- 0.40, N = 5SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.09, N = 4SE +/- 0.06, N = 476.3172.3856.2253.9548.1944.931. (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 965542.7213.7276.1EPYC 9655 2P44.4213.8314.8EPYC 9655 2P - Power44.5240.5364.0EPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9655EPYC 9655 2P20406080100SE +/- 0.32, N = 7SE +/- 0.49, N = 7SE +/- 0.62, N = 7SE +/- 0.53, N = 6SE +/- 0.23, N = 6SE +/- 0.29, N = 697.8896.8196.0490.6790.0886.171. (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 9655EPYC 9655 2PEPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.11160.22320.33480.44640.5580.4960.4610.4600.4370.4280.424

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5181.6276.2EPYC 9655 2P44.2187.1277.9EPYC 9655 2P - Power44.2207.4329.4EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551224364860SE +/- 0.17, N = 5SE +/- 0.17, N = 4SE +/- 0.03, N = 4SE +/- 0.09, N = 4SE +/- 0.04, N = 3SE +/- 0.05, N = 353.8151.6840.9039.1434.1331.90

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 965542.4240.8292.9EPYC 9655 2P - Power44.4274.3374.2EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.35, N = 5SE +/- 0.26, N = 5SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 356.2554.2445.8543.8538.4035.95

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 965542.5236.0292.8EPYC 9655 2P44.4238.3336.8EPYC 9655 - Power42.2269.3341.0EPYC 9655 2P - Power44.2271.6368.9EPYC 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 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96553691215SE +/- 0.042, N = 3SE +/- 0.039, N = 3SE +/- 0.028, N = 3SE +/- 0.048, N = 310.0919.9489.8109.6231. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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 9755 - PowerEPYC 97550.01170.02340.03510.04680.05850.0520.0490.0460.046

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

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 9755 - PowerEPYC 97550.0250.050.0750.10.1250.1110.1030.0990.099

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 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P0.01370.02740.04110.05480.06850.0610.0610.0520.0520.0510.051

WebP Image Encode

CPU Power Consumption Monitor

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

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 9655150300450600750SE +/- 6.53, N = 15SE +/- 3.94, N = 8SE +/- 6.94, N = 15SE +/- 1.60, N = 8SE +/- 7.51, N = 15SE +/- 1.30, N = 8709.99701.73607.90605.28598.51566.061. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655EPYC 9655 2PEPYC 9655 2P - Power1.18282.36563.54844.73125.9145.2575.2184.9244.8794.8394.558

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.0116.0313.9EPYC 9655 - Power41.8122.9356.9EPYC 9655 2P43.7123.7313.2EPYC 9655 2P - Power43.6133.4360.6EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655306090120150SE +/- 1.29, N = 15SE +/- 0.97, N = 15SE +/- 0.02, N = 6SE +/- 0.02, N = 6SE +/- 0.07, N = 5SE +/- 0.01, N = 5141.00130.02113.23110.0488.0481.681. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96550.17480.34960.52440.69920.8740.7770.7550.5410.5380.4650.458

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.9172.3334.9EPYC 965542.2178.3319.1EPYC 9655 2P - Power44.0181.4373.3EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655510152025SE +/- 0.25, N = 4SE +/- 0.08, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 322.5821.4016.1615.7212.4311.581. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96550.01960.03920.05880.07840.0980.0870.0860.0500.0490.0450.045

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2245.0344.4EPYC 965542.4254.7323.1EPYC 9655 2P - Power43.9261.1381.9EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965548121620SE +/- 0.1552, N = 4SE +/- 0.0874, N = 15SE +/- 0.0052, N = 3SE +/- 0.0004, N = 3SE +/- 0.0030, N = 3SE +/- 0.0012, N = 314.016913.03229.91639.65767.63167.10531. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.01220.02440.03660.04880.0610.0540.0540.0300.0300.0280.028

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P26.1243.1350.4EPYC 965542.6256.3324.5EPYC 9655 2P - Power44.3261.7386.4EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570140210280350SE +/- 2.19, N = 3SE +/- 3.56, N = 5SE +/- 1.00, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 2.08, N = 33433343133133032841. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655120240360480600SE +/- 1.33, N = 3SE +/- 2.08, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35635204964554083641. (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 9755EPYC 9655 - PowerEPYC 9755 - Power0.48740.97481.46221.94962.4372.1662.0271.4211.4051.3371.334

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2240.1272.4EPYC 965542.4256.1275.5EPYC 9655 2P - Power44.0277.8327.3EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655110220330440550SE +/- 1.76, N = 3SE +/- 1.53, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34994754324033543201. (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 9755EPYC 9755 - PowerEPYC 9655 - Power0.41380.82761.24141.65522.0691.8391.7601.1881.1701.1401.124

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P45.0258.4277.0EPYC 965542.4269.3287.7EPYC 9655 2P - Power44.2283.5312.3EPYC 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 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655EPYC 9755EPYC 9755 - Power600M1200M1800M2400M3000MSE +/- 825294.56, N = 3SE +/- 1858613.58, N = 3SE +/- 1211518.79, N = 3SE +/- 1927289.40, N = 3SE +/- 233333.33, N = 3SE +/- 568624.07, N = 33022533333302143333329567333332937233333278456666727833000001. (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 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 - Power2M4M6M8M10M10123389.2410115911.789773579.359762222.129206835.359187017.72

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 9755 - Power44.5284.8321.2EPYC 975544.7285.2320.1EPYC 965542.1290.4329.3EPYC 9655 2P43.6292.1338.1EPYC 9655 2P - Power43.6328.2392.1EPYC 9655 - Power41.7329.0373.4OpenBenchmarking.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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552000M4000M6000M8000M10000MSE +/- 30930100.41, N = 3SE +/- 49681015.82, N = 3SE +/- 7442296.54, N = 3SE +/- 14339494.80, N = 3SE +/- 2315407.33, N = 3SE +/- 6065476.07, N = 39450433333909310000085272333338494733333664003333363276000001. (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 9755EPYC 9655 - PowerEPYC 9755 - Power6M12M18M24M30M28121281.8027117623.5920685459.0520115931.6320071736.0619722991.21

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5305.9344.2EPYC 9655 2P44.2323.4364.8EPYC 9655 - Power42.1330.8374.0EPYC 9655 2P - Power44.3348.5394.8EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552000M4000M6000M8000M10000MSE +/- 10083374.66, N = 3SE +/- 38320157.16, N = 3SE +/- 1068228.02, N = 3SE +/- 6331139.97, N = 3SE +/- 2850341.11, N = 3SE +/- 7992983.03, N = 39213033333892663333382613666678151900000651483333362046333331. (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 965542.7296.6337.9EPYC 9655 2P45.2321.9365.1EPYC 9655 - Power42.4322.2362.5EPYC 9655 2P - Power45.4350.1395.1EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655800M1600M2400M3200M4000MSE +/- 19402777.58, N = 3SE +/- 26473907.49, N = 3SE +/- 1980179.57, N = 3SE +/- 3925274.23, N = 3SE +/- 2781686.14, N = 3SE +/- 1659651.90, N = 33598133333356136666728572333332855466667218836666721527666671. (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 9755EPYC 9755 - PowerEPYC 9655 - Power2M4M6M8M10M11250500.4411110378.087245928.177237709.107222449.647176096.55

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6297.1338.8EPYC 9655 - Power42.3305.0347.1EPYC 9655 2P44.7316.6361.2EPYC 9655 2P - Power44.5323.9370.9EPYC 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 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P6K12K18K24K30KSE +/- 106.26, N = 3SE +/- 146.49, N = 3SE +/- 134.59, N = 3SE +/- 214.06, N = 3SE +/- 204.92, N = 15SE +/- 199.26, N = 1225992.523913.020634.219454.117008.115913.21. (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 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655 2PEPYC 9655 2P - Power2040608010097.4196.1153.3152.3350.6346.88

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2245.5298.2EPYC 9655 - Power41.8270.5338.5EPYC 9655 2P44.3314.3343.6EPYC 9655 2P - Power44.8362.8395.0EPYC 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 9655EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 97552004006008001000SE +/- 2.24, N = 10SE +/- 1.75, N = 10SE +/- 2.83, N = 10SE +/- 7.37, N = 10SE +/- 1.37, N = 9SE +/- 2.19, N = 91076.51071.41066.81056.91002.6994.01. (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 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P4812162017.2417.1715.1514.8914.4014.37

srsRAN Project

CPU Power Consumption Monitor

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

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P50100150200250SE +/- 0.42, N = 3SE +/- 1.14, N = 3SE +/- 0.87, N = 3SE +/- 0.65, N = 3SE +/- 0.71, N = 3SE +/- 1.84, N = 3215.32210.14203.72203.33190.34184.47

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 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.19240.38480.57720.76960.9620.8550.8370.7680.7060.6590.631

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2240.2278.1EPYC 965542.3245.8264.3EPYC 9655 - Power42.1257.3275.7EPYC 9655 2P - Power44.6269.5296.3EPYC 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 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9655 2PEPYC 96555001000150020002500SE +/- 2.50, N = 4SE +/- 2.78, N = 4SE +/- 19.23, N = 4SE +/- 11.52, N = 4SE +/- 16.25, N = 4SE +/- 9.05, N = 42323.462271.952066.992028.181989.891897.88

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 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power369121511.18911.1439.7559.5679.5589.516

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 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P150300450600750SE +/- 1.63, N = 3SE +/- 2.91, N = 3SE +/- 8.09, N = 3SE +/- 7.40, N = 3SE +/- 5.52, N = 3SE +/- 0.83, N = 3693.23671.97662.67659.11514.70511.28

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9655 2PEPYC 9755 - PowerEPYC 9655 2P - Power0.63341.26681.90022.53363.1672.8152.7472.2432.1562.1521.943

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.8237.2264.1EPYC 965542.7238.7271.7EPYC 9655 - Power42.2252.3286.9EPYC 9655 2P - Power43.9264.9300.5EPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9655 2P - PowerEPYC 9655 2P50100150200250SE +/- 0.33, N = 3SE +/- 0.52, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.50, N = 3SE +/- 2.10, N = 3246.59246.24246.03240.07238.82238.49

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 9655EPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.21490.42980.64470.85961.07450.9550.9170.8920.8880.7300.698

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.3249.9272.9EPYC 965542.4261.7287.5EPYC 9655 2P - Power44.8269.1302.2EPYC 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 9755 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9655 2PEPYC 9655 - PowerEPYC 96556001200180024003000SE +/- 15.82, N = 3SE +/- 37.18, N = 3SE +/- 2.64, N = 3SE +/- 28.42, N = 4SE +/- 4.41, N = 3SE +/- 1.95, N = 32780.142690.502665.922616.592221.852083.42

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655369121513.01312.8119.6239.5979.4919.364

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 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P1122334455SE +/- 0.38, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.49, N = 3SE +/- 0.17, N = 3SE +/- 0.24, N = 748.8446.7143.6143.2526.5426.32MIN: 46.8 / MAX: 50.35MIN: 44.4 / MAX: 48.11MIN: 41.9 / MAX: 45.08MIN: 40.26 / MAX: 45.01MIN: 24.56 / MAX: 27.7MIN: 17.67 / MAX: 29.73

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2PEPYC 9655 2P - Power0.04210.08420.12630.16840.21050.1870.1760.1550.1540.0960.084

PyTorch

CPU Power Consumption Monitor

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

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152EPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P510152025SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.19, N = 4SE +/- 0.17, N = 12SE +/- 0.16, N = 1219.7419.2217.4517.4211.6211.57MIN: 18.97 / MAX: 20.57MIN: 18.55 / MAX: 19.77MIN: 16.79 / MAX: 18.16MIN: 16.53 / MAX: 18.16MIN: 4.7 / MAX: 13.82MIN: 5.56 / MAX: 12.98

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 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655 2PEPYC 9655 2P - Power0.01620.03240.04860.06480.0810.0720.0660.0580.0580.0410.036

PyTorch

CPU Power Consumption Monitor

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

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P1122334455SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 4SE +/- 0.32, N = 15SE +/- 0.40, N = 1548.5246.5243.8343.7727.3826.98MIN: 46.49 / MAX: 49.53MIN: 44.09 / MAX: 47.73MIN: 41.6 / MAX: 45.11MIN: 41.1 / MAX: 45.21MIN: 17.08 / MAX: 31.28MIN: 18.25 / MAX: 31.34

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 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 9655 2PEPYC 9655 2P - Power0.04190.08380.12570.16760.20950.1860.1740.1560.1560.0980.088

PyTorch

CPU Power Consumption Monitor

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570140210280350SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 0.41, N = 3SE +/- 0.12, N = 3318.19292.34218.20193.80166.34144.651. (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 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 965570140210280350SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.67, N = 3SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 0.26, N = 3150.68163.97288.00292.74329.53331.17MIN: 135.35 / MAX: 177.18MIN: 149.81 / MAX: 234.24MIN: 260.94 / MAX: 324.73MIN: 133.4 / MAX: 322.99MIN: 165.13 / MAX: 354.63MIN: 259.06 / MAX: 360.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.9279.1302.3EPYC 9655 2P44.0283.2307.3EPYC 9655 2P - Power44.7311.1339.4EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965550K100K150K200K250KSE +/- 477.06, N = 3SE +/- 2494.88, N = 4SE +/- 729.29, N = 3SE +/- 1255.01, N = 3SE +/- 370.35, N = 3SE +/- 658.72, N = 3212321.99210660.46199930.18190777.83185028.40173358.471. (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 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97550.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.180.200.310.320.460.48MIN: 0.16 / MAX: 27.22MIN: 0.16 / MAX: 31.17MIN: 0.12 / MAX: 21.96MIN: 0.13 / MAX: 22.72MIN: 0.13 / MAX: 25.58MIN: 0.13 / MAX: 26.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.4243.1262.5EPYC 965542.8250.6268.5EPYC 9655 - Power42.4277.1309.3EPYC 9655 2P - Power44.4288.7313.3EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965530060090012001500SE +/- 9.29, N = 3SE +/- 3.94, N = 3SE +/- 4.77, N = 15SE +/- 6.66, N = 15SE +/- 2.13, N = 3SE +/- 0.53, N = 31545.661470.13733.80715.72711.26686.911. (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 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power20406080100SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.54, N = 15SE +/- 0.78, N = 1531.0432.6367.3469.7287.1489.40MIN: 26.15 / MAX: 65.39MIN: 27.36 / MAX: 67.99MIN: 32.37 / MAX: 130.06MIN: 33.74 / MAX: 128.03MIN: 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 965542.5321.8347.4EPYC 9655 2P44.4322.0352.9EPYC 9655 - Power42.1338.2368.8EPYC 9655 2P - Power44.4348.2380.9EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96557K14K21K28K35KSE +/- 67.46, N = 3SE +/- 18.16, N = 3SE +/- 8.27, N = 3SE +/- 13.14, N = 3SE +/- 3.28, N = 3SE +/- 5.45, N = 333372.0629775.2120954.3418679.3615518.6513972.571. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96554K8K12K16K20KSE +/- 17.68, N = 3SE +/- 8.73, N = 3SE +/- 6.51, N = 3SE +/- 2.97, N = 3SE +/- 11.71, N = 3SE +/- 13.26, N = 317500.3816407.9511890.8911232.268699.178123.121. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 96551.3142.6283.9425.2566.57SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.742.925.305.445.625.84MIN: 1.88 / MAX: 18.32MIN: 2.03 / MAX: 17.91MIN: 2.08 / MAX: 28.98MIN: 1.9 / MAX: 24.72MIN: 2.01 / MAX: 29.21MIN: 2.3 / MAX: 25.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2290.6313.7EPYC 965542.5292.6314.7EPYC 9655 - Power42.1315.0337.3EPYC 9655 2P - Power44.2317.6343.6EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 5.69, N = 3SE +/- 31.28, N = 3SE +/- 19.66, N = 3SE +/- 8.58, N = 3SE +/- 11.21, N = 3SE +/- 18.33, N = 312204.1111417.029199.758730.886722.706173.611. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 9655246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.934.196.867.047.227.68MIN: 3.02 / MAX: 20.64MIN: 3.32 / MAX: 17.36MIN: 3.75 / MAX: 24.2MIN: 4.45 / MAX: 21.05MIN: 4.48 / MAX: 26.34MIN: 4.09 / MAX: 22.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.1259.6286.1EPYC 965542.5263.1285.0EPYC 9655 2P - Power44.4279.0307.2EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965530060090012001500SE +/- 4.43, N = 3SE +/- 1.75, N = 3SE +/- 2.19, N = 3SE +/- 2.99, N = 3SE +/- 1.89, N = 3SE +/- 3.01, N = 31548.701491.951129.231109.75881.12840.051. (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 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9655EPYC 97551326395265SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 330.9532.1354.3756.5856.9857.57MIN: 24.71 / MAX: 244.03MIN: 23.03 / MAX: 169.79MIN: 27.11 / MAX: 90.92MIN: 26.76 / MAX: 102.79MIN: 27.41 / MAX: 98.07MIN: 34.99 / MAX: 106.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P44.2313.7347.0EPYC 965542.7326.6357.1EPYC 9655 2P - Power44.2334.8374.4EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965512K24K36K48K60KSE +/- 227.08, N = 3SE +/- 128.37, N = 3SE +/- 19.02, N = 3SE +/- 0.83, N = 3SE +/- 33.00, N = 3SE +/- 6.01, N = 355029.5349343.5634304.0931655.5725130.8523288.261. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965516003200480064008000SE +/- 3.46, N = 3SE +/- 12.20, N = 3SE +/- 3.19, N = 3SE +/- 5.09, N = 3SE +/- 4.08, N = 3SE +/- 4.42, N = 37387.046976.194802.284774.333680.243506.591. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965511002200330044005500SE +/- 12.07, N = 3SE +/- 3.52, N = 3SE +/- 3.67, N = 3SE +/- 2.87, N = 3SE +/- 4.89, N = 3SE +/- 0.98, N = 35259.254918.443403.963287.432550.682393.861. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 9655510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.129.7518.6818.6919.3619.95MIN: 6.93 / MAX: 31.05MIN: 7.8 / MAX: 32.13MIN: 9.73 / MAX: 45.34MIN: 9.95 / MAX: 40.46MIN: 9.99 / MAX: 44.41MIN: 10.11 / MAX: 40.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8273.1294.1EPYC 9655 2P44.1286.5310.2EPYC 9655 - Power42.5293.6317.8EPYC 9655 2P - Power44.3314.4338.6EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96554K8K12K16K20KSE +/- 7.55, N = 3SE +/- 14.09, N = 3SE +/- 12.50, N = 3SE +/- 14.83, N = 3SE +/- 8.52, N = 3SE +/- 1.05, N = 320214.9718938.6514033.9513949.8910744.4810064.751. (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 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96551.05082.10163.15244.20325.254SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.372.534.374.454.484.67MIN: 1.7 / MAX: 15.93MIN: 1.73 / MAX: 16.68MIN: 2.16 / MAX: 18.61MIN: 1.92 / MAX: 23.23MIN: 1.99 / MAX: 22.31MIN: 2.58 / MAX: 20.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5300.9324.3EPYC 9655 2P43.7304.9329.1EPYC 9655 - Power42.4322.4347.2EPYC 9655 2P - Power44.1336.0362.8EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 101.98, N = 3SE +/- 91.27, N = 3SE +/- 10.73, N = 3SE +/- 33.49, N = 3SE +/- 5.58, N = 3SE +/- 10.75, N = 311848.7211384.8810716.3210557.168640.548266.341. (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 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9655 - PowerEPYC 96550.16380.32760.49140.65520.819SE +/- 0.000376, N = 9SE +/- 0.004859, N = 15SE +/- 0.000577, N = 9SE +/- 0.001018, N = 9SE +/- 0.000929, N = 9SE +/- 0.000691, N = 90.4865090.5134170.5615430.6109390.6726700.727928MIN: 0.46MIN: 0.48MIN: 0.52MIN: 0.56MIN: 0.58MIN: 0.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5117.2217.9EPYC 9655 2P43.5118.2211.3EPYC 9655 - Power42.1122.7234.3EPYC 9655 2P - Power44.0124.3230.1EPYC 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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P1122334455SE +/- 0.07, N = 3SE +/- 0.60, N = 3SE +/- 0.48, N = 15SE +/- 0.41, N = 15SE +/- 0.11, N = 3SE +/- 0.49, N = 1549.8948.8144.2043.9828.6125.691. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerEPYC 9655 2P - PowerEPYC 9655 2P918273645SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.24, N = 15SE +/- 0.21, N = 15SE +/- 0.14, N = 3SE +/- 0.78, N = 1520.0420.4922.6622.7734.9639.141. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 327.6729.9941.8643.0654.4759.291. (CC) gcc options: -O2 -pthread

Helsing

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7287.0311.4EPYC 9655 2P45.0291.8331.6EPYC 9655 - Power42.3318.6346.0EPYC 9655 2P - Power44.1320.2366.9EPYC 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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965590M180M270M360M450MSE +/- 4378797.88, N = 3SE +/- 4310907.78, N = 3SE +/- 4084095.42, N = 15SE +/- 4338134.07, N = 15SE +/- 4142878.23, N = 12SE +/- 3587851.54, N = 154412177674268398813154303163073439232352408592191895431. (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 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power300K600K900K1200K1500K1237372.891185206.63697627.07689321.78668223.51654520.00

Stockfish

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 16.1CPU Power Consumption MonitorEPYC 9655EPYC 9655 2PEPYC 9655 - PowerEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 42.3 / Avg: 328.02 / Max: 363.72Min: 44.35 / Avg: 344.96 / Max: 374.23Min: 42.64 / Avg: 359.41 / Max: 398.52Min: 44.05 / Avg: 372.27 / Max: 401.22Min: 44.77 / Avg: 440.56 / Max: 487.21Min: 44.78 / Avg: 457.6 / Max: 501.48

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 9655 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.45950.9191.37851.8382.2975SE +/- 0.002, N = 13SE +/- 0.004, N = 12SE +/- 0.003, N = 12SE +/- 0.004, N = 12SE +/- 0.003, N = 11SE +/- 0.004, N = 111.1091.1961.4591.5531.8342.0421. (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 2P - PowerEPYC 9655 2PEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655612182430SE +/- 0.01, N = 5SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 311.2512.4816.7517.9721.8124.221. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 2P43.4254.7343.9EPYC 965542.2267.8344.1EPYC 9655 2P - Power44.2280.3380.9EPYC 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 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 2P - PowerEPYC 9655 2P246810SE +/- 0.011, N = 6SE +/- 0.010, N = 5SE +/- 0.020, N = 5SE +/- 0.015, N = 5SE +/- 0.043, N = 5SE +/- 0.019, N = 56.4306.5898.0688.1738.3298.395

Y-Cruncher

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4185.5319.9EPYC 9655 - Power42.4205.3369.7EPYC 9655 2P43.6206.0329.1EPYC 9655 2P - Power44.0221.1363.4EPYC 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 9655 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power30K60K90K120K150KSE +/- 226.78, N = 3SE +/- 1144.52, N = 3SE +/- 329.61, N = 3SE +/- 322.46, N = 3153599.31141244.58133016.39132331.061. (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 9655EPYC 9655 2P - PowerEPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 22.76 / Avg: 253.2 / Max: 382.79Min: 41.04 / Avg: 253.26 / Max: 371.62Min: 22.1 / Avg: 280.39 / Max: 402.02Min: 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