AMD EPYC 9005 Benchmarks - Performance vs. Power Determinism

Benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2411056-NE-TURINPOWE15&grt&sor.

AMD EPYC 9005 Benchmarks - Performance vs. Power DeterminismProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - PowerAMD EPYC 9655 96-Core @ 2.60GHz (96 Cores / 192 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 9755 128-Core @ 2.70GHz (128 Cores / 256 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110Java Details- OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)Python Details- Python 3.12.2Security Details- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 9005 Benchmarks - Performance vs. Power Determinismcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingmt-dgemm: Sustained Floating-Point Rateamg: askap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve MT - Griddingastcenc: Mediumastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustiveblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlyclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runcoremark: CoreMark Size 666 - Iterations Per Secondembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crowngpaw: Carbon Nanotubegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpengromacs: MPI CPU - water_GMX50_barehelsing: 14 digitoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyjohn-the-ripper: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastlammps: Rhodopsin Proteinlammps: 20k Atomsliquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512luxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUm-queens: Time To Solvememcached: 1:100minibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2namd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsnpb: LU.Cnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cnwchem: C240 Buckyballonednn: Deconvolution Batch shapes_3d - CPUonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardopenfoam: 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 1Mopenssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenvino: 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: 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 - CPUopenvkl: vklBenchmarkCPU ISPCospray: 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 - CPUcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionpennant: leblancbigpennant: sedovbigprimesieve: 1e12primesieve: 1e13pytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-50quantlib: Multi-Threadedrocksdb: Rand Readspeedb: Rand Readsrsran: PDSCH Processor Benchmark, Throughput Totalstockfish: Chess Benchmarksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ktensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - AlexNetbuild-ffmpeg: Time To Compilebuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-imagemagick: Time To Compilebuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-mesa: Time To Compilebuild-nodejs: Time To Compileuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterwrf: conus 2.5kmx265: Bosphorus 4Kincompact3d: input.i3d 193 Cells Per Directiony-cruncher: 1BEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power76289162660043.193765307673966755898.859791.116317.0566.056681.684411.57577.105312.9732.6716.8040.68116.4716.55740.48755.69763.394550652.098964172.9986148.7896136.803527.18828436432017.63259.2865.175.192.47237823237739103933344.4044.9390.0845.22256.10363276000006204633333215276666716.8012.7424.197.32912513777.695141.082205.6436705.147268.20612.491474.18891315803.13154462.837042.53144599.3864867.571334.10.72792849.885120.044324.69787424.071752114.28075195.1475679.2091.0350488.72029271.71376255919075390101449014728351518271344599403087144.65331.17173358.470.3213972.578123.125.846173.617.68840.0556.9823288.263506.592393.8619.9510064.754.678266.34281441.246042.126642.20308691383430966102516295358881.1313253.1365175.4787082.04224.21546.7119.2246.52341991.757721537460776965023913.0219189543249.291258.613107.422210.141897.88671.97240.072083.4214.093126.33384.1349.527194.47497.57812.793118.69831.9035.959.62322.6686147.33435.707.095553406.58978219667879546.119303308597700057262.659791.116337.9605.277188.035712.43447.631612.2131.4716.1838.33111.3215.94750.83774.74771.874746235.879094180.8031155.2267144.657126.48930340835418.39754.4665.495.492.66249945249745104200047.7048.1996.0448.09859.22666400333336514833333218836666718.2913.2425.706.69013608100.125509.927220.3976885.049275.40213.133204.35738323478.52153956.627285.36144307.5266383.291292.50.67267048.814520.490222.94106222.2558113.8233192.7864975.3890.0754719.22136538.11428903713305667035817315303804271731404398097110166.34288.00185028.400.3115518.658699.175.446722.707.04881.1254.3725130.853680.242550.6818.6910744.484.378640.54297643.936644.463143.8461809128752580995515188336521.0708832.7677685.2107191.83421.80648.8419.7448.52353852.560735029562763312125992.5235240859265.769273.179112.517215.322028.18693.23246.032221.8513.781125.34782.5359.433187.32194.81112.701114.80134.1338.4010.09124.0696043.20636.017.174051766.43090815984673656.408890317708200070762.874093.316464.1701.7315110.038315.71959.65769.4624.0012.5029.7586.6212.71698.12729.56724.646042366.343047223.2053191.7839179.449423.82231345540322.72943.0575.845.852.85323010323000136133353.4253.9596.8155.79167.77684947333338151900000285546666720.9413.9632.025.49213316660.109647.496385.9009654.576386.18314.244934.62277385558.53194853.918647.62167026.9388208.361326.20.51341744.199922.658621.4414620.597089120.3457160.3737873.6777.2669037.72755042.31866603933137235976724020073653514701837765850747193.80329.53190777.830.4818679.3611232.265.628730.887.221109.7557.5731655.574774.333287.4319.3613949.894.4810557.16365455.176254.392754.3958639101542037975311982239810.9348962.7612604.3936061.55317.96843.6117.4243.83465436.878689658082210282819454.1307343923271.924281.589118.163203.332271.95659.11246.242665.9213.978128.13283.2939.868201.75588.89313.669109.56139.1443.859.81023.7435574.36334.216.478045388.17392027288227459.205514318441333370893.574456.516512709.9896113.225216.15999.91639.5024.2312.4129.4586.8712.74697.07729.06724.356122915.494912229.2964196.9262184.613624.12831349643222.22341.8576.066.062.96325647325278135500055.5356.2297.8857.08669.36285272333338261366667285723333321.1614.4630.845.25513567376.309601.732384.0699659.615386.38514.531444.57734383678.73197015.008449.11165446.8891585.721301.90.48650943.975522.765322.85900720.279899120.25556160.7003872.3276.5871625.52788354.71862249662237407733062719999390296731838698550520218.20292.74199930.180.4620954.3411890.895.39199.756.861129.2356.5834304.094802.283403.9618.6814033.954.4510716.32374156.524855.276155.475862198781975773211666234120.9126772.7064624.1082031.45916.74643.2517.4543.77463866.679440007582192599920634.2315430316275.540279.701121.927203.722323.46662.67246.592780.1413.907129.00782.9339.868199.60887.66313.638108.74740.9045.859.94824.1515545.67634.366.457183448.068OpenBenchmarking.org

7-Zip Compression

Test: Compression Rating

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

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655200K400K600K800K1000KSE +/- 188.95, N = 3SE +/- 276.36, N = 3SE +/- 692.69, N = 3SE +/- 257.58, N = 38822748467366787956266001. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power50010001500200025002269.162232.642211.882145.99

7-Zip Compression

CPU Power Consumption Monitor

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

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.20, N = 8SE +/- 0.18, N = 8SE +/- 0.15, N = 7SE +/- 0.15, N = 759.2156.4146.1243.191. (CC) gcc options: -O3 -march=native -fopenmp

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.05540.11080.16620.22160.2770.2460.2380.2190.208

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxEPYC 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

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655700M1400M2100M2800M3500MSE +/- 2174206.39, N = 3SE +/- 6342005.91, N = 3SE +/- 3204898.91, N = 3SE +/- 4068843.09, N = 331844133333177082000308597700030767396671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2M4M6M8M10M11562385.409807760.799501967.559428172.22

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

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

ASKAP

Test: tConvolve MPI - Degridding

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

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965516K32K48K64K80KSE +/- 308.95, N = 15SE +/- 438.43, N = 3SE +/- 380.83, N = 3SE +/- 380.83, N = 374456.574093.359791.159791.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power50100150200250209.31207.54205.38178.18

ASKAP

CPU Power Consumption Monitor

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

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96554K8K12K16K20KSE +/- 2.31, N = 3SE +/- 0.00, N = 3SE +/- 22.76, N = 3SE +/- 10.86, N = 316512.016464.116337.916317.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655150300450600750SE +/- 6.53, N = 15SE +/- 3.94, N = 8SE +/- 1.60, N = 8SE +/- 1.30, N = 8709.99701.73605.28566.061. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96551.18282.36563.54844.73125.9145.2575.2184.9244.879

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655306090120150SE +/- 0.02, N = 6SE +/- 0.02, N = 6SE +/- 0.07, N = 5SE +/- 0.01, N = 5113.23110.0488.0481.681. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96550.12170.24340.36510.48680.60850.5410.5380.4650.458

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965548121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 316.1615.7212.4311.581. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96550.01130.02260.03390.04520.05650.0500.0490.0450.045

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

Preset: Exhaustive

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

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.00680.01360.02040.02720.0340.0300.0300.0280.028

ASTC Encoder

CPU Power Consumption Monitor

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

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96553691215SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 4SE +/- 0.05, N = 49.469.5012.2112.97

Blender

CPU Power Consumption Monitor

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

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6302.8340.2EPYC 9655 - Power42.1317.4359.2EPYC 975544.8395.6467.1EPYC 9755 - Power45.0397.0466.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965548121620SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.06, N = 3SE +/- 0.11, N = 312.4112.5016.1816.80

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655918273645SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 329.4529.7538.3340.68

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6299.9333.6EPYC 9655 - Power42.2322.5361.6EPYC 975544.7395.0458.0EPYC 9755 - Power45.0403.2469.4OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655306090120150SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 386.6286.87111.32116.47

Blender

CPU Power Consumption Monitor

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

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965548121620SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 312.7112.7415.9416.55

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 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

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 9755EPYC 9755 - Power160320480640800SE +/- 1.82, N = 3SE +/- 1.08, N = 3SE +/- 6.12, N = 3SE +/- 5.79, N = 3750.83740.48698.12697.07MIN: 73.53 / MAX: 7500MIN: 68.57 / MAX: 8571.43MIN: 80.86 / MAX: 6666.67MIN: 82.42 / MAX: 5454.55

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

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

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 9755EPYC 9755 - Power1.03842.07683.11524.15365.1924.6154.5614.4314.420

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxEPYC 975544.4163.5407.0EPYC 9755 - Power44.2163.9418.1EPYC 965541.9165.4302.9EPYC 9655 - Power41.9169.2357.0OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.12.3.5CPU Power Consumption Monitor110220330440550

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551.3M2.6M3.9M5.2M6.5MSE +/- 17530.74, N = 3SE +/- 10789.95, N = 3SE +/- 24173.23, N = 3SE +/- 8964.82, N = 36122915.496042366.344746235.884550652.101. (CC) gcc options: -O2 -lrt" -lrt

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power3K6K9K12K15K14585.7414350.0914303.0313758.81

Coremark

CPU Power Consumption Monitor

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

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965550100150200250SE +/- 0.05, N = 9SE +/- 0.06, N = 8SE +/- 0.07, N = 8SE +/- 0.11, N = 8229.30223.21180.80173.00MIN: 226.03 / MAX: 234.63MIN: 219.93 / MAX: 227.73MIN: 178.16 / MAX: 184.07MIN: 170.04 / MAX: 176.59

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.21710.43420.65130.86841.08550.9650.9440.8720.821

Embree

CPU Power Consumption Monitor

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

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

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.24410.48820.73230.97641.22051.0851.0450.8920.873

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4166.7351.9EPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96554080120160200SE +/- 0.09, N = 8SE +/- 0.11, N = 8SE +/- 0.03, N = 7SE +/- 0.03, N = 7184.61179.45144.66136.80MIN: 180.02 / MAX: 191.76MIN: 175.01 / MAX: 186.64MIN: 141.2 / MAX: 148.79MIN: 133.41 / MAX: 142.65

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.15750.3150.47250.630.78750.7000.6870.6340.599

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 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

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655612182430SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 323.8224.1326.4927.191. (CC) gcc options: -shared -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

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

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570140210280350SE +/- 1.00, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 2.08, N = 33133133032841. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.35190.70381.05571.40761.75951.5641.5321.5051.482

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655110220330440550SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34964554083641. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power0.31970.63940.95911.27881.59851.4211.4051.3371.334

GraphicsMagick

CPU Power Consumption Monitor

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

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965590180270360450SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 34324033543201. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power0.26730.53460.80191.06921.33651.1881.1701.1401.124

GraphicsMagick

CPU Power Consumption Monitor

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

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 322.7322.2218.4017.631. (CXX) g++ options: -O3 -lm

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power0.01490.02980.04470.05960.07450.0660.0650.0630.062

GROMACS

CPU Power Consumption Monitor

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

Helsing

Digit Range: 14 digit

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 341.8643.0654.4759.291. (CC) gcc options: -O2 -pthread

Helsing

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7287.0311.4EPYC 9655 - Power42.3318.6346.0EPYC 975544.9388.8429.7EPYC 9755 - Power45.1406.3448.8OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor120240360480600

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

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 9755 - PowerEPYC 97550.00590.01180.01770.02360.02950.0260.0260.0240.024

Intel Open Image Denoise

CPU Power Consumption Monitor

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

Intel Open Image Denoise

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

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

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 - Power0.00590.01180.01770.02360.02950.0260.0260.0250.024

Intel Open Image Denoise

CPU Power Consumption Monitor

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

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.6661.3321.9982.6643.33SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 42.962.852.662.47

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9755EPYC 9655 - PowerEPYC 9655EPYC 9755 - Power0.00230.00460.00690.00920.01150.0100.0100.0100.009

Intel Open Image Denoise

CPU Power Consumption Monitor

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

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570K140K210K280K350KSE +/- 32.03, N = 3SE +/- 53.35, N = 3SE +/- 83.70, N = 3SE +/- 7.33, N = 33256473230102499452378231. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power2004006008001000792.83778.22774.58764.24

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542300338EPYC 9655 - Power43327370EPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570K140K210K280K350KSE +/- 191.99, N = 3SE +/- 45.32, N = 3SE +/- 424.21, N = 3SE +/- 23.62, N = 33252783230002497452377391. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power2004006008001000789.71782.32772.62761.35

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655300K600K900K1200K1500KSE +/- 1201.85, N = 3SE +/- 1527.53, N = 3SE +/- 1000.00, N = 3SE +/- 1855.92, N = 313613331355000104200010393331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power70014002100280035003396.833375.513348.483341.69

John The Ripper

CPU Power Consumption Monitor

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

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

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 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power0.04640.09280.13920.18560.2320.2060.1950.1930.186

Kvazaar

CPU Power Consumption Monitor

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

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.09, N = 4SE +/- 0.06, N = 456.2253.9548.1944.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04730.09460.14190.18920.23650.2100.1990.1970.188

Kvazaar

CPU Power Consumption Monitor

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

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.32, N = 7SE +/- 0.49, N = 7SE +/- 0.62, N = 7SE +/- 0.23, N = 697.8896.8196.0490.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 - PowerEPYC 9755EPYC 9755 - Power0.11160.22320.33480.44640.5580.4960.4600.4280.424

Kvazaar

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.45, N = 10SE +/- 0.31, N = 10SE +/- 0.32, N = 11SE +/- 0.32, N = 1557.0955.7948.1045.221. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96550.10710.21420.32130.42840.53550.4760.4560.4460.444

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxEPYC 9655 - Power42.0101.1290.0EPYC 965542.0101.8272.7EPYC 975544.5125.0352.9EPYC 9755 - Power44.5125.3355.7OpenBenchmarking.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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551530456075SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.52, N = 369.3667.7859.2356.101. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.03780.07560.11340.15120.1890.1680.1590.1470.145

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552000M4000M6000M8000M10000MSE +/- 7442296.54, N = 3SE +/- 14339494.80, N = 3SE +/- 2315407.33, N = 3SE +/- 6065476.07, N = 385272333338494733333664003333363276000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power4M8M12M16M20M20685459.0520115931.6320071736.0619722991.21

Liquid-DSP

CPU Power Consumption Monitor

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

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552000M4000M6000M8000M10000MSE +/- 1068228.02, N = 3SE +/- 6331139.97, N = 3SE +/- 2850341.11, N = 3SE +/- 7992983.03, N = 382613666678151900000651483333362046333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4M8M12M16M20M20917606.8120218095.5919710155.4419526843.47

Liquid-DSP

CPU Power Consumption Monitor

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

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655600M1200M1800M2400M3000MSE +/- 1980179.57, N = 3SE +/- 3925274.23, N = 3SE +/- 2781686.14, N = 3SE +/- 1659651.90, N = 328572333332855466667218836666721527666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power1.6M3.2M4.8M6.4M8M7245928.177237709.107222449.647176096.55

Liquid-DSP

CPU Power Consumption Monitor

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

LuxCoreRender

Scene: DLSC - Acceleration: CPU

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

LuxCoreRender

Scene: DLSC - Acceleration: CPU

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

LuxCoreRender

CPU Power Consumption Monitor

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

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965548121620SE +/- 0.19, N = 3SE +/- 0.14, N = 15SE +/- 0.12, N = 3SE +/- 0.06, N = 314.4613.9613.2412.74MIN: 7.35 / MAX: 16.92MIN: 6.55 / MAX: 16.95MIN: 6.48 / MAX: 15.17MIN: 6.13 / MAX: 14.49

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.00990.01980.02970.03960.04950.0440.0410.0380.035

LuxCoreRender

CPU Power Consumption Monitor

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

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

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

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

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

LuxCoreRender

CPU Power Consumption Monitor

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

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655246810SE +/- 0.018, N = 7SE +/- 0.025, N = 7SE +/- 0.031, N = 6SE +/- 0.013, N = 65.2555.4926.6907.3291. (CXX) g++ options: -fopenmp -O2 -march=native

m-queens

CPU Power Consumption Monitor

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

Memcached

Set To Get Ratio: 1:100

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

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 975510K20K30K40K50K47921.2443796.4738436.4037790.62

Memcached

CPU Power Consumption Monitor

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965580160240320400SE +/- 2.67, N = 11SE +/- 0.76, N = 10SE +/- 1.20, N = 8SE +/- 1.46, N = 8385.90384.07220.40205.641. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power0.48240.96481.44721.92962.4122.1442.0581.1941.188

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 98.24, N = 4SE +/- 76.86, N = 4SE +/- 53.97, N = 3SE +/- 42.42, N = 39659.629654.586885.056705.151. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965580160240320400SE +/- 3.93, N = 4SE +/- 3.07, N = 4SE +/- 2.16, N = 3SE +/- 1.70, N = 3386.39386.18275.40268.211. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power0.24750.4950.74250.991.23751.1001.0870.9480.921

miniBUDE

CPU Power Consumption Monitor

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

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965548121620SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.02, N = 7SE +/- 0.02, N = 714.5314.2413.1312.49

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01580.03160.04740.06320.0790.0700.0690.0660.065

NAMD

CPU Power Consumption Monitor

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

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9655EPYC 9655 - PowerEPYC 9755 - PowerEPYC 97550.00410.00820.01230.01640.02050.0180.0170.0160.016

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 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

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 965580K160K240K320K400KSE +/- 5529.34, N = 15SE +/- 4917.65, N = 15SE +/- 1953.53, N = 6SE +/- 1611.44, N = 6385558.53383678.73323478.52315803.131. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power300600900120015001431.331391.901335.301287.44

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power40K80K120K160K200KSE +/- 629.86, N = 5SE +/- 878.07, N = 5SE +/- 367.39, N = 5SE +/- 412.37, N = 5197015.00194853.91154462.83153956.621. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power140280420560700644.42638.95619.92549.18

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 55.66, N = 6SE +/- 80.37, N = 15SE +/- 64.97, N = 6SE +/- 41.67, N = 68647.628449.117285.367042.531. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power91827364540.0438.1136.7535.30

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power300600900120015001272.731197.561175.301148.15

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520K40K60K80K100KSE +/- 716.44, N = 10SE +/- 618.06, N = 15SE +/- 526.39, N = 15SE +/- 750.66, N = 1591585.7288208.3666383.2964867.571. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power110220330440550507.34491.65420.91388.54

NAS Parallel Benchmarks

CPU Power Consumption Monitor

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

NWChem

Input: C240 Buckyball

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

NWChem

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 42.34 / Avg: 346.39 / Max: 369.48Min: 41.84 / Avg: 375.23 / Max: 399.59Min: 44.44 / Avg: 477.37 / Max: 499.23Min: 44.28 / Avg: 483.97 / Max: 499.76

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 - PowerEPYC 96550.16380.32760.49140.65520.819SE +/- 0.000376, N = 9SE +/- 0.004859, N = 15SE +/- 0.000929, N = 9SE +/- 0.000691, N = 90.4865090.5134170.6726700.727928MIN: 0.46MIN: 0.48MIN: 0.58MIN: 0.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

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

ONNX Runtime

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

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

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 - Power510152025SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.24, N = 15SE +/- 0.21, N = 1520.0420.4922.6622.771. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965561218243020.2820.6022.2624.071. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3304.0363.0EPYC 9655 - Power41.7331.4399.7EPYC 975544.4396.4492.6EPYC 9755 - Power44.7402.6499.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor130260390520650

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 9755306090120150113.82114.28120.26120.351. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 96554080120160200160.37160.70192.79195.151. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

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

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.18, N = 372.3273.6775.3879.20

OpenRadioss

CPU Power Consumption Monitor

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

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 376.5877.2690.0791.03

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 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

OpenSSL

Algorithm: RSA4096

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

OpenSSL

Algorithm: RSA4096

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

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power140028004200560070006366.616287.446052.605988.27

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2318.7339.7EPYC 9655 - Power41.6356.8391.3EPYC 975544.9438.2478.0EPYC 9755 - Power44.6460.7498.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: SHA256

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

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power90M180M270M360M450M413951053.97401864487.87395591946.00386706631.41

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965516000M32000M48000M64000M80000MSE +/- 46660762.78, N = 3SE +/- 163780192.60, N = 3SE +/- 84288798.91, N = 3SE +/- 85304308.49, N = 3740773306277235976724056670358173539010144901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power40M80M120M160M200M166891800.58161764658.87160962436.45160210243.51

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: AES-128-GCM

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

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power1000M2000M3000M4000M5000M4714124877.734699217928.954630384700.634600647138.64

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655400000M800000M1200000M1600000M2000000MSE +/- 836488131.91, N = 3SE +/- 2482404044.78, N = 3SE +/- 1492761099.56, N = 3SE +/- 243566219.34, N = 318386985505201837765850747140439809711013445994030871. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power900M1800M2700M3600M4500M4358545440.704339501704.864242525981.404217409857.51

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3308.5324.7EPYC 9655 - Power42.3333.0353.4EPYC 975544.7423.5443.3EPYC 9755 - Power44.6433.4460.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965540K80K120K160K200KSE +/- 729.29, N = 3SE +/- 1255.01, N = 3SE +/- 370.35, N = 3SE +/- 658.72, N = 3199930.18190777.83185028.40173358.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8250.6268.5EPYC 9655 - Power42.4277.1309.3EPYC 975545.0337.4363.6EPYC 9755 - Power45.3368.0400.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

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

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 96551.3142.6283.9425.2566.57SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.305.445.625.84MIN: 2.08 / MAX: 28.98MIN: 1.9 / MAX: 24.72MIN: 2.01 / MAX: 29.21MIN: 2.3 / MAX: 25.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 19.66, N = 3SE +/- 8.58, N = 3SE +/- 11.21, N = 3SE +/- 18.33, N = 39199.758730.886722.706173.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9755 - PowerEPYC 9655 - PowerEPYC 9755EPYC 9655246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.867.047.227.68MIN: 3.75 / MAX: 24.2MIN: 4.45 / MAX: 21.05MIN: 4.48 / MAX: 26.34MIN: 4.09 / MAX: 22.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552004006008001000SE +/- 2.19, N = 3SE +/- 2.99, N = 3SE +/- 1.89, N = 3SE +/- 3.01, N = 31129.231109.75881.12840.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7326.6357.1EPYC 9655 - Power42.5345.4381.9EPYC 975544.8437.1487.9EPYC 9755 - Power45.5452.5500.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor130260390520650

OpenVINO

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

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965510002000300040005000SE +/- 3.19, N = 3SE +/- 5.09, N = 3SE +/- 4.08, N = 3SE +/- 4.42, N = 34802.284774.333680.243506.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96557001400210028003500SE +/- 3.67, N = 3SE +/- 2.87, N = 3SE +/- 4.89, N = 3SE +/- 0.98, N = 33403.963287.432550.682393.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

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

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8273.1294.1EPYC 9655 - Power42.5293.6317.8EPYC 975544.8372.2403.5EPYC 9755 - Power45.1395.4429.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 12.50, N = 3SE +/- 14.83, N = 3SE +/- 8.52, N = 3SE +/- 1.05, N = 314033.9513949.8910744.4810064.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9655 - PowerEPYC 9755 - PowerEPYC 9755EPYC 96551.05082.10163.15244.20325.254SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.374.454.484.67MIN: 2.16 / MAX: 18.61MIN: 1.92 / MAX: 23.23MIN: 1.99 / MAX: 22.31MIN: 2.58 / MAX: 20.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

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

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552K4K6K8K10KSE +/- 10.73, N = 3SE +/- 33.49, N = 3SE +/- 5.58, N = 3SE +/- 10.75, N = 310716.3210557.168640.548266.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96558001600240032004000SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 33741365429762814MIN: 305 / MAX: 43215MIN: 293 / MAX: 42376MIN: 233 / MAX: 37345MIN: 215 / MAX: 36394

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power36912159.3419.1568.8688.734

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 42.34 / Avg: 301.24 / Max: 356.28Min: 41.86 / Avg: 340.72 / Max: 401.18Min: 44.92 / Avg: 399.08 / Max: 477.59Min: 44.49 / Avg: 421.86 / Max: 511.84

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551326395265SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 356.5255.1843.9441.25

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 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power0.03020.06040.09060.12080.1510.1340.1300.1280.127

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/ao/real_time

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

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power0.03040.06080.09120.12160.1520.1350.1270.1270.124

OSPRay

CPU Power Consumption Monitor

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

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551224364860SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 355.4854.4043.8542.20

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power0.0340.0680.1020.1360.170.1510.1440.1430.137

OSPRay

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552004006008001000SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3621639809869

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 5.49, N = 3SE +/- 3.71, N = 3SE +/- 20.87, N = 3SE +/- 19.97, N = 39878101541287513834

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96557K14K21K28K35KSE +/- 10.68, N = 3SE +/- 39.68, N = 3SE +/- 33.02, N = 3SE +/- 52.17, N = 319757203792580930966

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96552004006008001000SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 37327539551025

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96553K6K9K12K15KSE +/- 3.61, N = 3SE +/- 14.19, N = 3SE +/- 15.94, N = 3SE +/- 14.29, N = 311666119821518816295

OSPRay Studio

CPU Power Consumption Monitor

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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96558K16K24K32K40KSE +/- 33.06, N = 3SE +/- 32.92, N = 3SE +/- 49.64, N = 3SE +/- 11.68, N = 323412239813365235888

OSPRay Studio

CPU Power Consumption Monitor

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

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.25450.5090.76351.0181.2725SE +/- 0.010896, N = 15SE +/- 0.010948, N = 15SE +/- 0.010945, N = 15SE +/- 0.014837, N = 150.9126770.9348961.0708831.1313251. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Parallel BZIP2 Compression

CPU Power Consumption Monitor

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

Pennant

Test: leblancbig

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

Pennant

CPU Power Consumption Monitor

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

Pennant

Test: sedovbig

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

Pennant

CPU Power Consumption Monitor

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

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96550.45950.9191.37851.8382.2975SE +/- 0.003, N = 12SE +/- 0.004, N = 12SE +/- 0.003, N = 11SE +/- 0.004, N = 111.4591.5531.8342.0421. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 316.7517.9721.8124.221. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

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

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 - Power1122334455SE +/- 0.38, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.49, N = 348.8446.7143.6143.25MIN: 46.8 / MAX: 50.35MIN: 44.4 / MAX: 48.11MIN: 41.9 / MAX: 45.08MIN: 40.26 / MAX: 45.01

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 - Power0.04210.08420.12630.16840.21050.1870.1760.1550.154

PyTorch

CPU Power Consumption Monitor

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

PyTorch

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

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

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 97550.01620.03240.04860.06480.0810.0720.0660.0580.058

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8268.8292.6EPYC 9655 - Power42.4300.0326.5EPYC 975544.8301.1326.0EPYC 9755 - Power44.8301.4326.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

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

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 97550.04190.08380.12570.16760.20950.1860.1740.1560.156

PyTorch

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6249.8285.8EPYC 9655 - Power42.1278.5321.4EPYC 9755 - Power44.6281.2321.4EPYC 975545.0281.8321.0OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.2.1CPU Power Consumption Monitor80160240320400

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655100K200K300K400K500KSE +/- 401.79, N = 3SE +/- 359.42, N = 3SE +/- 316.52, N = 3SE +/- 414.37, N = 3465436.8463866.6353852.5341991.71. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - Power20040060080010001146.371137.921136.471116.73

QuantLib

CPU Power Consumption Monitor

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

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655200M400M600M800M1000MSE +/- 646946.28, N = 3SE +/- 5260460.78, N = 3SE +/- 463544.96, N = 3SE +/- 4322874.61, N = 37944000757868965806073502955772153741. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9655EPYC 9755 - PowerEPYC 9755EPYC 9655 - Power400K800K1200K1600K2000K1918650.381905830.821894471.541878922.22

RocksDB

CPU Power Consumption Monitor

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

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9755EPYC 9755 - PowerEPYC 9655 - PowerEPYC 9655200M400M600M800M1000MSE +/- 707549.54, N = 3SE +/- 300359.50, N = 3SE +/- 707531.18, N = 3SE +/- 696066.18, N = 38221028288219259996276331216077696501. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9655EPYC 9755EPYC 9755 - PowerEPYC 9655 - Power400K800K1200K1600K2000K1998985.071969975.351967243.951950554.66

Speedb

CPU Power Consumption Monitor

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

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 97556K12K18K24K30KSE +/- 106.26, N = 3SE +/- 146.49, N = 3SE +/- 134.59, N = 3SE +/- 214.06, N = 325992.523913.020634.219454.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

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 97552040608010097.4196.1153.3152.33

srsRAN Project

CPU Power Consumption Monitor

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

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965570M140M210M280M350MSE +/- 4084095.42, N = 15SE +/- 4338134.07, N = 15SE +/- 4142878.23, N = 12SE +/- 3587851.54, N = 153154303163073439232352408592191895431. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

Stockfish

Chess Benchmark

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

Stockfish

CPU Power Consumption Monitor

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

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 - PowerEPYC 965560120180240300SE +/- 7.89, N = 15SE +/- 7.58, N = 15SE +/- 7.29, N = 15SE +/- 6.06, N = 15275.54271.92265.77249.291. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 - Power0.561.121.682.242.82.4892.4662.3532.350

SVT-AV1

CPU Power Consumption Monitor

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

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

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 - Power0.5781.1561.7342.3122.892.5692.5462.4212.415

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3101.6233.5EPYC 9655 - Power41.7106.4268.2EPYC 9755 - Power44.3115.8286.8EPYC 975544.5116.3294.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor70140210280350

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

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 - Power0.18810.37620.56430.75240.94050.8360.8290.7780.772

SVT-AV1

CPU Power Consumption Monitor

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

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 975550100150200250SE +/- 0.42, N = 3SE +/- 1.14, N = 3SE +/- 0.87, N = 3SE +/- 0.65, N = 3215.32210.14203.72203.33

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 9755EPYC 9755 - Power0.19240.38480.57720.76960.9620.8550.8370.6590.631

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96555001000150020002500SE +/- 2.50, N = 4SE +/- 2.78, N = 4SE +/- 11.52, N = 4SE +/- 9.05, N = 42323.462271.952028.181897.88

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 - PowerEPYC 9655EPYC 9755EPYC 9755 - Power36912159.7559.5679.5589.516

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 9755150300450600750SE +/- 1.63, N = 3SE +/- 2.91, N = 3SE +/- 8.09, N = 3SE +/- 7.40, N = 3693.23671.97662.67659.11

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 9755 - Power0.63341.26681.90022.53363.1672.8152.7472.2432.152

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7238.7271.7EPYC 9655 - Power42.2252.3286.9EPYC 975545.0293.8338.6EPYC 9755 - Power44.8308.0353.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965550100150200250SE +/- 0.33, N = 3SE +/- 0.52, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3246.59246.24246.03240.07

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.20630.41260.61890.82521.03150.9170.8920.7300.698

TensorFlow

CPU Power Consumption Monitor

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

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96556001200180024003000SE +/- 15.82, N = 3SE +/- 2.64, N = 3SE +/- 4.41, N = 3SE +/- 1.95, N = 32780.142665.922221.852083.42

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 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965536912159.6239.5979.4919.364

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 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

Timed FFmpeg Compilation

Time To Compile

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

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 Gem5 Compilation

Time To Compile

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

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 Godot Game Engine Compilation

Time To Compile

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

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 ImageMagick Compilation

Time To Compile

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

Timed ImageMagick Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 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

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 9655 - PowerEPYC 9655EPYC 9755 - PowerEPYC 97554080120160200SE +/- 0.42, N = 3SE +/- 0.40, N = 3SE +/- 1.23, N = 3SE +/- 0.88, N = 3187.32194.47199.61201.76

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 965520406080100SE +/- 0.19, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 387.6688.8994.8197.58

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 - PowerEPYC 9655EPYC 9755 - PowerEPYC 975548121620SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.06, N = 4SE +/- 0.07, N = 412.7012.7913.6413.67

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 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 Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To CompileEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655306090120150SE +/- 0.66, N = 3SE +/- 0.21, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3108.75109.56114.80118.70

Timed Node.js Compilation

CPU Power Consumption Monitor

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655918273645SE +/- 0.03, N = 4SE +/- 0.09, N = 4SE +/- 0.04, N = 3SE +/- 0.05, N = 340.9039.1434.1331.90

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 9655EPYC 9755EPYC 9655 - PowerEPYC 9755 - Power0.02970.05940.08910.11880.14850.1320.1230.1230.116

uvg266

CPU Power Consumption Monitor

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

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 96551020304050SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 345.8543.8538.4035.95

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.03420.06840.10260.13680.1710.1520.1430.1400.132

uvg266

CPU Power Consumption Monitor

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 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

WRF

Input: conus 2.5km

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmEPYC 9755 - PowerEPYC 9755EPYC 9655 - PowerEPYC 9655130026003900520065005545.685574.366043.216147.331. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

WRF

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 41.97 / Avg: 340.67 / Max: 360.85Min: 41.87 / Avg: 386.4 / Max: 400.07Min: 44.4 / Avg: 440.28 / Max: 480.05Min: 45.44 / Avg: 452.12 / Max: 499.62

x265

Video Input: Bosphorus 4K

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

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 97550.04640.09280.13920.18560.2320.2060.2060.2030.202

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 9755 - Power44.8167.0217.5EPYC 975544.6169.0217.8EPYC 965542.6173.7223.6EPYC 9655 - Power41.7177.1234.7OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.6CPU Power Consumption Monitor60120180240300

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9755 - PowerEPYC 9755EPYC 9655EPYC 9655 - Power246810SE +/- 0.01593429, N = 6SE +/- 0.01274608, N = 6SE +/- 0.03188987, N = 5SE +/- 0.07400503, N = 56.457183446.478045387.095553407.174051761. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxEPYC 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

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 9755246810SE +/- 0.011, N = 6SE +/- 0.010, N = 5SE +/- 0.020, N = 5SE +/- 0.015, N = 56.4306.5898.0688.173

Y-Cruncher

CPU Power Consumption Monitor

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

Phoronix Test Suite v10.8.5