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&grw&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 Determinismastcenc: Mediumastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustivequantlib: Multi-Threadedminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2openradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mwrf: conus 2.5kmtensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - AlexNetonnx: ArcFace ResNet-100 - CPU - Standardpytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-50gromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinlammps: 20k Atomsnpb: LU.Cnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cnamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsonednn: Deconvolution Batch shapes_3d - CPUopenvino: 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 - CPUaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve MT - Griddingmt-dgemm: Sustained Floating-Point Ratepennant: leblancbigpennant: sedovbigamg: nwchem: C240 Buckyballopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeincompact3d: input.i3d 193 Cells Per Directiongpaw: Carbon Nanotubecoremark: CoreMark Size 666 - Iterations Per Secondbuild-ffmpeg: Time To Compilebuild-imagemagick: Time To Compileprimesieve: 1e12primesieve: 1e13stockfish: Chess Benchmarkcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingjohn-the-ripper: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKbuild-llvm: Ninjacompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionm-queens: Time To Solvebuild-linux-kernel: allmodconfigkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastgraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpensvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Kx265: Bosphorus 4Kblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlyuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterbuild-godot: Time To Compileembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyopenvkl: vklBenchmarkCPU ISPCluxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUbuild-gem5: Time To Compilebuild-mesa: Time To Compilebuild-nodejs: Time To Compileliquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512srsran: PDSCH Processor Benchmark, Throughput Totaly-cruncher: 1Bspeedb: Rand Readhelsing: 14 digitopenssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runmemcached: 1:100rocksdb: Rand Readonnx: ArcFace ResNet-100 - CPU - StandardEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power566.056681.684411.57577.1053341991.75141.082205.6436705.147268.20679.2091.036147.334210.141897.88671.97240.072083.4249.885146.7119.2246.5217.63245.22256.103315803.13154462.837042.53144599.3864867.5712.491474.188910.727928144.65331.17173358.470.3213972.578123.125.846173.617.68840.0556.9823288.263506.592393.8619.9510064.754.678266.3455898.859791.116317.043.1937653.1365175.47870830767396671334.124.69787424.071752114.28075195.147567.0955534027.1884550652.09896414.0939.5272.04224.215219189543762891626600237823237739103933397.5781.1313257.329194.47444.4044.9390.08284364320249.291258.613107.42235.7012.9732.6716.8040.68116.4716.5531.9035.959.62322.66884.134172.9986148.7896136.80355.175.192.47281416.8012.7424.1941.246042.126642.2030869138343096610251629535888126.33312.793118.69863276000006204633333215276666723913.06.58960776965059.28650488.72029271.71376255919075390101449014728351518271344599403087740.48755.69763.3912513777.6957721537420.0443605.277188.035712.43447.6316353852.55509.927220.3976885.049275.40275.3890.076043.206215.322028.18693.23246.032221.8548.814548.8419.7448.5218.39748.09859.226323478.52153956.627285.36144307.5266383.2913.133204.357380.672670166.34288.00185028.400.3115518.658699.175.446722.707.04881.1254.3725130.853680.242550.6818.6910744.484.378640.5457262.659791.116337.946.1193032.7677685.21071930859770001292.522.94106222.2558113.8233192.786497.1740517626.4894746235.87909413.7819.4331.83421.806235240859782196678795249945249745104200094.8111.0708836.690187.32147.7048.1996.04303408354265.769273.179112.51736.0112.2131.4716.1838.33111.3215.9434.1338.4010.09124.06982.535180.8031155.2267144.65715.495.492.66297618.2913.2425.7043.936644.463143.846180912875258099551518833652125.34712.701114.80166400333336514833333218836666725992.56.43062763312154.46654719.22136538.11428903713305667035817315303804271731404398097110750.83774.74771.8713608100.1260735029520.4902701.7315110.038315.71959.6576465436.89647.496385.9009654.576386.18373.6777.265574.363203.332271.95659.11246.242665.9244.199943.6117.4243.8322.72955.79167.776385558.53194853.918647.62167026.9388208.3614.244934.622770.513417193.80329.53190777.830.4818679.3611232.265.628730.887.221109.7557.5731655.574774.333287.4319.3613949.894.4810557.1670762.874093.316464.156.4088902.7612604.39360631770820001326.221.4414620.597089120.3457160.373786.4780453823.8226042366.34304713.9789.8681.55317.968307343923908159846736323010323000136133388.8930.9348965.492201.75553.4253.9596.81313455403271.924281.589118.16334.219.4624.0012.5029.7586.6212.7139.1443.859.81023.74383.293223.2053191.7839179.44945.845.852.85365420.9413.9632.0255.176254.392754.395863910154203797531198223981128.13213.669109.56184947333338151900000285546666719454.18.17382210282843.05769037.72755042.31866603933137235976724020073653514701837765850747698.12729.56724.6413316660.1078689658022.6586709.9896113.225216.15999.9163463866.69601.732384.0699659.615386.38572.3276.585545.676203.722323.46662.67246.592780.1443.975543.2517.4543.7722.22357.08669.362383678.73197015.008449.11165446.8891585.7214.531444.577340.486509218.20292.74199930.180.4620954.3411890.895.39199.756.861129.2356.5834304.094802.283403.9618.6814033.954.4510716.3270893.574456.51651259.2055142.7064624.10820331844133331301.922.85900720.279899120.25556160.700386.4571834424.1286122915.49491213.9079.8681.45916.746315430316920272882274325647325278135500087.6630.9126775.255199.60855.5356.2297.88313496432275.540279.701121.92734.369.5024.2312.4129.4586.8712.7440.9045.859.94824.15182.933229.2964196.9262184.61366.066.062.96374121.1614.4630.8456.524855.276155.47586219878197577321166623412129.00713.638108.74785272333338261366667285723333320634.28.06882192599941.85771625.52788354.71862249662237407733062719999390296731838698550520697.07729.06724.3513567376.3079440007522.7653OpenBenchmarking.org

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: 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: 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: 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

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

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: 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

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

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

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

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: 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: 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: 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: 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

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

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-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: 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

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

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: 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

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: 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: 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: 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: 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

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: 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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

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

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: 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: 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

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

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

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

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

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: 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: 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

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: 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: 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

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 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 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

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

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

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

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

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

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

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

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: 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

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: 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

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

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 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: 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

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.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: 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

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

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: 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: 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

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: 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/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 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

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

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

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

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

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

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 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 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

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: 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: 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

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

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

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

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

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: 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: 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: 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-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

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

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

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

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 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 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 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

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 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

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 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

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 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 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 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 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

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 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 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

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

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

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 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

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

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

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

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

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.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

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 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

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

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

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 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

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

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

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

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

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

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 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 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 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 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

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

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

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

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

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

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

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

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

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

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

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

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

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 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 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

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 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 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

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

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

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

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

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

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

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 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 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

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 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 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

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

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

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

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 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 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

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

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 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 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

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 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 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 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

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 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 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 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

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 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 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

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 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 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

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

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 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 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 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 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

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 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 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Phoronix Test Suite v10.8.5