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&gru&rdt.

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 Determinismpytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-50minibude: OpenMP - BM1minibude: OpenMP - BM2openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMamg: openvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection 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: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownsvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Kx265: Bosphorus 4Kkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterminibude: OpenMP - BM1minibude: OpenMP - BM2mt-dgemm: Sustained Floating-Point Rateoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlytensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - AlexNetonnx: ArcFace ResNet-100 - CPU - Standardopenvkl: vklBenchmarkCPU ISPCospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpencoremark: CoreMark Size 666 - Iterations Per Secondluxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUsrsran: PDSCH Processor Benchmark, Throughput Totalquantlib: Multi-Threadedaskap: tConvolve MT - Griddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingastcenc: Mediumastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustivestockfish: Chess Benchmarkgromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinlammps: 20k Atomsnamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsspeedb: Rand Readrocksdb: Rand Readmemcached: 1:100clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runjohn-the-ripper: bcryptjohn-the-ripper: Blowfishjohn-the-ripper: WPA PSKliquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512openssl: RSA4096npb: SP.Cnpb: LU.Cnpb: IS.Dnpb: MG.Cnpb: CG.Copenssl: RSA4096pennant: leblancbigpennant: sedovbigonnx: ArcFace ResNet-100 - CPU - Standardospray-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 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUonednn: Deconvolution Batch shapes_3d - CPUbuild-linux-kernel: allmodconfigbuild-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-llvm: Ninjabuild-mesa: Time To Compilebuild-imagemagick: Time To Compilewrf: conus 2.5kmm-queens: Time To Solvegpaw: Carbon Nanotubenwchem: C240 Buckyballincompact3d: input.i3d 193 Cells Per Directionopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlycompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionhelsing: 14 digitprimesieve: 1e12primesieve: 1e13y-cruncher: 1BEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power46.7119.2246.52205.643268.20613762559190753901014490147283515182713445994030873076739667144.65173358.4713972.578123.126173.61840.0523288.263506.592393.8610064.758266.34172.9986148.7896136.8035249.291258.613107.42235.7044.4044.9390.0831.9035.959.62322.6685141.0826705.14743.1937655.175.192.47210.141897.88671.97240.072083.4249.8851281441.246042.126642.20302843643204550652.09896416.8012.7424.1923913.0341991.716317.076289162660055898.859791.1566.056681.684411.57577.105321918954317.63245.22256.10312.491474.1889160776965057721537412513777.69740.48755.69763.39237739237823103933363276000006204633333215276666750488.7154462.83315803.137042.53144599.3864867.572029271.73.1365175.47870820.0443869138343096610251629535888331.170.325.847.6856.9819.954.670.727928194.47414.09384.134118.698126.33397.57812.7939.5276147.3347.32927.1881334.17.0955534024.69787424.071752114.28075195.1475679.2091.0312.9732.6716.8040.68116.4716.551.13132559.2862.04224.2156.58948.8419.7448.52220.397275.40214289037133056670358173153038042717314043980971103085977000166.34185028.4015518.658699.176722.70881.1225130.853680.242550.6810744.488640.54180.8031155.2267144.6571265.769273.179112.51736.0147.7048.1996.0434.1338.4010.09124.0695509.9276885.04946.1193035.495.492.66215.322028.18693.23246.032221.8548.8145297643.936644.463143.84613034083544746235.87909418.2913.2425.7025992.5353852.516337.978219667879557262.659791.1605.277188.035712.43447.631623524085918.39748.09859.22613.133204.3573862763312160735029513608100.12750.83774.74771.87249745249945104200066400333336514833333218836666754719.2153956.62323478.527285.36144307.5266383.292136538.12.7677685.21071920.490280912875258099551518833652288.000.315.447.0454.3718.694.370.672670187.32113.78182.535114.801125.34794.81112.7019.4336043.2066.69026.4891292.57.1740517622.94106222.2558113.8233192.7864975.3890.0712.2131.4716.1838.33111.3215.941.07088354.4661.83421.8066.43043.6117.4243.83385.900386.18318666039331372359767240200736535147018377658507473177082000193.80190777.8318679.3611232.268730.881109.7531655.574774.333287.4313949.8910557.16223.2053191.7839179.4494271.924281.589118.16334.2153.4253.9596.8139.1443.859.81023.7439647.4969654.57656.4088905.845.852.85203.332271.95659.11246.242665.9244.1999365455.176254.392754.39583134554036042366.34304720.9413.9632.0219454.1465436.816464.190815984673670762.874093.3701.7315110.038315.71959.657630734392322.72955.79167.77614.244934.6227782210282878689658013316660.10698.12729.56724.64323000323010136133384947333338151900000285546666769037.7194853.91385558.538647.62167026.9388208.362755042.32.7612604.39360622.658663910154203797531198223981329.530.485.627.2257.5719.364.480.513417201.75513.97883.293109.561128.13288.89313.6699.8685574.3635.49223.8221326.26.4780453821.4414620.597089120.3457160.3737873.6777.269.4624.0012.5029.7586.6212.710.93489643.0571.55317.9688.17343.2517.4543.77384.069386.38518622496622374077330627199993902967318386985505203184413333218.20199930.1820954.3411890.899199.751129.2334304.094802.283403.9614033.9510716.32229.2964196.9262184.6136275.540279.701121.92734.3655.5356.2297.8840.9045.859.94824.1519601.7329659.61559.2055146.066.062.96203.722323.46662.67246.592780.1443.9755374156.524855.276155.47583134964326122915.49491221.1614.4630.8420634.2463866.61651292027288227470893.574456.5709.9896113.225216.15999.916331543031622.22357.08669.36214.531444.5773482192599979440007513567376.30697.07729.06724.35325278325647135500085272333338261366667285723333371625.5197015.00383678.738449.11165446.8891585.722788354.72.7064624.10820322.76536219878197577321166623412292.740.465.36.8656.5818.684.450.486509199.60813.90782.933108.747129.00787.66313.6389.8685545.6765.25524.1281301.96.4571834422.85900720.279899120.25556160.7003872.3276.589.5024.2312.4129.4586.8712.740.91267741.8571.45916.7468.068OpenBenchmarking.org

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

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1122334455SE +/- 0.28, N = 3SE +/- 0.38, N = 3SE +/- 0.29, N = 3SE +/- 0.49, N = 346.7148.8443.6143.25MIN: 44.4 / MAX: 48.11MIN: 46.8 / MAX: 50.35MIN: 41.9 / MAX: 45.08MIN: 40.26 / MAX: 45.01

PyTorch

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

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04210.08420.12630.16840.21050.1870.1760.1550.154

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 4SE +/- 0.18, N = 319.2219.7417.4217.45MIN: 18.55 / MAX: 19.77MIN: 18.97 / MAX: 20.57MIN: 16.53 / MAX: 18.16MIN: 16.79 / MAX: 18.16

PyTorch

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

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01620.03240.04860.06480.0810.0720.0660.0580.058

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 9755EPYC 9755 - Power0.04190.08380.12570.16760.20950.1860.1740.1560.156

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1122334455SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 446.5248.5243.8343.77MIN: 44.09 / MAX: 47.73MIN: 46.49 / MAX: 49.53MIN: 41.6 / MAX: 45.11MIN: 41.1 / MAX: 45.21

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power80160240320400SE +/- 1.46, N = 8SE +/- 1.20, N = 8SE +/- 2.67, N = 11SE +/- 0.76, N = 10205.64220.40385.90384.071. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power80160240320400SE +/- 1.70, N = 3SE +/- 2.16, N = 3SE +/- 3.07, N = 4SE +/- 3.93, N = 4268.21275.40386.18386.391. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.48240.96481.44721.92962.4121.1941.1882.1442.058

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.24750.4950.74250.991.23750.9480.9211.0871.100

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power40000M80000M120000M160000M200000MSE +/- 343661637.22, N = 3SE +/- 143659903.05, N = 3SE +/- 76407988.26, N = 3SE +/- 109659436.53, N = 31376255919071428903713301866603933131862249662231. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power16000M32000M48000M64000M80000MSE +/- 85304308.49, N = 3SE +/- 84288798.91, N = 3SE +/- 163780192.60, N = 3SE +/- 46660762.78, N = 3539010144905667035817372359767240740773306271. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power900M1800M2700M3600M4500M4358545440.704217409857.514339501704.864242525981.40

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power400000M800000M1200000M1600000M2000000MSE +/- 1295376232.10, N = 3SE +/- 1180292536.08, N = 3SE +/- 679943093.73, N = 3SE +/- 2715663243.10, N = 314728351518271530380427173200736535147019999390296731. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90M180M270M360M450M413951053.97386706631.41401864487.87395591946.00

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power400000M800000M1200000M1600000M2000000MSE +/- 243566219.34, N = 3SE +/- 1492761099.56, N = 3SE +/- 2482404044.78, N = 3SE +/- 836488131.91, N = 313445994030871404398097110183776585074718386985505201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power40M80M120M160M200M166891800.58160210243.51161764658.87160962436.45

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1000M2000M3000M4000M5000M4714124877.734600647138.644699217928.954630384700.63

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

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power700M1400M2100M2800M3500MSE +/- 4068843.09, N = 3SE +/- 3204898.91, N = 3SE +/- 6342005.91, N = 3SE +/- 2174206.39, N = 330767396673085977000317708200031844133331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.12, N = 3SE +/- 0.41, N = 3SE +/- 0.32, N = 3SE +/- 0.16, N = 3144.65166.34193.80218.201. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power40K80K120K160K200KSE +/- 658.72, N = 3SE +/- 370.35, N = 3SE +/- 1255.01, N = 3SE +/- 729.29, N = 3173358.47185028.40190777.83199930.181. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 5.45, N = 3SE +/- 3.28, N = 3SE +/- 13.14, N = 3SE +/- 8.27, N = 313972.5715518.6518679.3620954.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 13.26, N = 3SE +/- 11.71, N = 3SE +/- 2.97, N = 3SE +/- 6.51, N = 38123.128699.1711232.2611890.891. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 18.33, N = 3SE +/- 11.21, N = 3SE +/- 8.58, N = 3SE +/- 19.66, N = 36173.616722.708730.889199.751. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 3.01, N = 3SE +/- 1.89, N = 3SE +/- 2.99, N = 3SE +/- 2.19, N = 3840.05881.121109.751129.231. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power7K14K21K28K35KSE +/- 6.01, N = 3SE +/- 33.00, N = 3SE +/- 0.83, N = 3SE +/- 19.02, N = 323288.2625130.8531655.5734304.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power10002000300040005000SE +/- 4.42, N = 3SE +/- 4.08, N = 3SE +/- 5.09, N = 3SE +/- 3.19, N = 33506.593680.244774.334802.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power7001400210028003500SE +/- 0.98, N = 3SE +/- 4.89, N = 3SE +/- 2.87, N = 3SE +/- 3.67, N = 32393.862550.683287.433403.961. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 1.05, N = 3SE +/- 8.52, N = 3SE +/- 14.83, N = 3SE +/- 12.50, N = 310064.7510744.4813949.8914033.951. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 10.75, N = 3SE +/- 5.58, N = 3SE +/- 33.49, N = 3SE +/- 10.73, N = 38266.348640.5410557.1610716.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.21710.43420.65130.86841.08550.8720.8210.9650.944

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.11, N = 8SE +/- 0.07, N = 8SE +/- 0.06, N = 8SE +/- 0.05, N = 9173.00180.80223.21229.30MIN: 170.04 / MAX: 176.59MIN: 178.16 / MAX: 184.07MIN: 219.93 / MAX: 227.73MIN: 226.03 / MAX: 234.63

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4080120160200SE +/- 0.07, N = 5SE +/- 0.06, N = 5SE +/- 0.14, N = 5SE +/- 0.07, N = 5148.79155.23191.78196.93MIN: 146.45 / MAX: 152.13MIN: 152.81 / MAX: 158.1MIN: 188.36 / MAX: 196.2MIN: 193.84 / MAX: 201.41

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4080120160200SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 0.11, N = 8SE +/- 0.09, N = 8136.80144.66179.45184.61MIN: 133.41 / MAX: 142.65MIN: 141.2 / MAX: 148.79MIN: 175.01 / MAX: 186.64MIN: 180.02 / MAX: 191.76

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

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power60120180240300SE +/- 6.06, N = 15SE +/- 7.29, N = 15SE +/- 7.58, N = 15SE +/- 7.89, N = 15249.29265.77271.92275.541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.15750.3150.47250.630.78750.6340.5990.7000.687

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.5781.1561.7342.3122.892.5462.5692.4212.415

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

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power60120180240300SE +/- 1.90, N = 9SE +/- 2.25, N = 9SE +/- 2.17, N = 9SE +/- 2.09, N = 9258.61273.18281.59279.701. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.62, N = 6SE +/- 0.89, N = 6SE +/- 1.10, N = 7SE +/- 0.88, N = 11107.42112.52118.16121.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.24410.48820.73230.97641.22050.8920.8731.0851.045

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power816243240SE +/- 0.08, N = 3SE +/- 0.25, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 335.7036.0134.2134.361. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1224364860SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.06, N = 5SE +/- 0.08, N = 544.4047.7053.4255.531. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.06, N = 4SE +/- 0.09, N = 4SE +/- 0.01, N = 5SE +/- 0.03, N = 544.9348.1953.9556.221. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.23, N = 6SE +/- 0.62, N = 7SE +/- 0.49, N = 7SE +/- 0.32, N = 790.0896.0496.8197.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 4SE +/- 0.03, N = 431.9034.1339.1440.90

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1020304050SE +/- 0.05, N = 3SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 435.9538.4043.8545.85

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.048, N = 3SE +/- 0.042, N = 3SE +/- 0.028, N = 3SE +/- 0.039, N = 39.62310.0919.8109.9481. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 322.6724.0723.7424.151. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.04640.09280.13920.18560.2320.2060.2030.2020.206

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 9655 - PowerEPYC 9755EPYC 9755 - Power0.04640.09280.13920.18560.2320.2060.1930.1950.186

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

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

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 9655 - PowerEPYC 9755EPYC 9755 - Power0.02970.05940.08910.11880.14850.1320.1230.1230.116

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01170.02340.03510.04680.05850.0520.0490.0460.046

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.0250.050.0750.10.1250.1110.1030.0990.099

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 36.48, N = 8SE +/- 30.12, N = 8SE +/- 66.65, N = 11SE +/- 19.04, N = 105141.085509.939647.509601.731. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 42.42, N = 3SE +/- 53.97, N = 3SE +/- 76.86, N = 4SE +/- 98.24, N = 46705.156885.059654.589659.621. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.05540.11080.16620.22160.2770.2190.2080.2460.238

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.15, N = 7SE +/- 0.15, N = 7SE +/- 0.18, N = 8SE +/- 0.20, N = 843.1946.1256.4159.211. (CC) gcc options: -O3 -march=native -fopenmp

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.00590.01180.01770.02360.02950.0260.0260.0240.024

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.00590.01180.01770.02360.02950.0260.0260.0250.024

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.00230.00460.00690.00920.01150.0100.0100.0100.009

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 75.175.495.846.06

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 75.195.495.856.06

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.6661.3321.9982.6643.33SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 5SE +/- 0.00, N = 52.472.662.852.96

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

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 1.14, N = 3SE +/- 0.42, N = 3SE +/- 0.65, N = 3SE +/- 0.87, N = 3210.14215.32203.33203.72

TensorFlow

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

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.19240.38480.57720.76960.9620.8550.8370.6590.631

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power5001000150020002500SE +/- 9.05, N = 4SE +/- 11.52, N = 4SE +/- 2.78, N = 4SE +/- 2.50, N = 41897.882028.182271.952323.46

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power150300450600750SE +/- 2.91, N = 3SE +/- 1.63, N = 3SE +/- 7.40, N = 3SE +/- 8.09, N = 3671.97693.23659.11662.67

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.52, N = 3SE +/- 0.33, N = 3240.07246.03246.24246.59

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power36912159.5679.7559.5589.516

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power36912159.3649.4919.5979.623

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power6001200180024003000SE +/- 1.95, N = 3SE +/- 4.41, N = 3SE +/- 2.64, N = 3SE +/- 15.82, N = 32083.422221.852665.922780.14

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

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

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power36912159.3418.7349.1568.868

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power8001600240032004000SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 1.86, N = 32814297636543741MIN: 215 / MAX: 36394MIN: 233 / MAX: 37345MIN: 293 / MAX: 42376MIN: 305 / MAX: 43215

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 9655 - PowerEPYC 9755EPYC 9755 - Power0.03020.06040.09060.12080.1510.1340.1280.1300.127

OSPRay

Benchmark: particle_volume/ao/real_time

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

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.0340.0680.1020.1360.170.1510.1370.1440.143

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 341.2543.9455.1856.52

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1224364860SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 342.1344.4654.3955.28

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1224364860SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 342.2043.8554.4055.48

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.31970.63940.95911.27881.59851.4211.3371.4051.334

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70140210280350SE +/- 2.08, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 1.00, N = 32843033133131. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power110220330440550SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 33644084554961. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 33203544034321. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Noise-Gaussian

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

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.26730.53460.80191.06921.33651.1881.1241.1701.140

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.3M2.6M3.9M5.2M6.5MSE +/- 8964.82, N = 3SE +/- 24173.23, N = 3SE +/- 10789.95, N = 3SE +/- 17530.74, N = 34550652.104746235.886042366.346122915.491. (CC) gcc options: -O2 -lrt" -lrt

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15K14303.0313758.8114585.7414350.09

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.17, N = 15SE +/- 0.23, N = 15SE +/- 0.33, N = 15SE +/- 0.21, N = 316.8018.2920.9421.16MIN: 15.67 / MAX: 20.23MIN: 16.97 / MAX: 21.39MIN: 19.5 / MAX: 27MIN: 20.29 / MAX: 27.72

LuxCoreRender

Scene: DLSC - Acceleration: CPU

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

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 15SE +/- 0.19, N = 312.7413.2413.9614.46MIN: 6.13 / MAX: 14.49MIN: 6.48 / MAX: 15.17MIN: 6.55 / MAX: 16.95MIN: 7.35 / MAX: 16.92

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power714212835SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.52, N = 15SE +/- 0.35, N = 1524.1925.7032.0230.84MIN: 21.58 / MAX: 32.81MIN: 22.87 / MAX: 34.83MIN: 26.48 / MAX: 43.04MIN: 26.95 / MAX: 43.78

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

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

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 9755EPYC 9755 - Power2040608010097.4196.1152.3353.31

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power6K12K18K24K30KSE +/- 146.49, N = 3SE +/- 106.26, N = 3SE +/- 214.06, N = 3SE +/- 134.59, N = 323913.025992.519454.120634.21. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20040060080010001136.471116.731146.371137.92

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power100K200K300K400K500KSE +/- 414.37, N = 3SE +/- 316.52, N = 3SE +/- 401.79, N = 3SE +/- 359.42, N = 3341991.7353852.5465436.8463866.61. (CXX) g++ options: -O3 -march=native -fPIE -pie

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 10.86, N = 3SE +/- 22.76, N = 3SE +/- 0.00, N = 3SE +/- 2.31, N = 316317.016337.916464.116512.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200K400K600K800K1000KSE +/- 660.09, N = 3SE +/- 1100.58, N = 3SE +/- 3530.77, N = 3SE +/- 3611.53, N = 37628917821969081599202721. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200K400K600K800K1000KSE +/- 257.58, N = 3SE +/- 692.69, N = 3SE +/- 276.36, N = 3SE +/- 188.95, N = 36266006787958467368822741. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50010001500200025002211.882145.992269.162232.64

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power15K30K45K60K75KSE +/- 328.80, N = 3SE +/- 601.20, N = 3SE +/- 395.30, N = 3SE +/- 519.97, N = 1555898.857262.670762.870893.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power16K32K48K64K80KSE +/- 380.83, N = 3SE +/- 380.83, N = 3SE +/- 438.43, N = 3SE +/- 308.95, N = 1559791.159791.174093.374456.51. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power50100150200250209.31178.18207.54205.38

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power150300450600750SE +/- 1.30, N = 8SE +/- 1.60, N = 8SE +/- 3.94, N = 8SE +/- 6.53, N = 15566.06605.28701.73709.991. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.01, N = 5SE +/- 0.07, N = 5SE +/- 0.02, N = 6SE +/- 0.02, N = 681.6888.04110.04113.231. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.5812.4315.7216.161. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.18282.36563.54844.73125.9144.8794.9245.2575.218

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.12170.24340.36510.48680.60850.4580.4650.5410.538

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01130.02260.03390.04520.05650.0450.0450.0500.049

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.00680.01360.02040.02720.0340.0280.0280.0300.030

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.0012, N = 3SE +/- 0.0030, N = 3SE +/- 0.0004, N = 3SE +/- 0.0052, N = 37.10537.63169.65769.91631. (CXX) g++ options: -O3 -flto -pthread

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70M140M210M280M350MSE +/- 3587851.54, N = 15SE +/- 4142878.23, N = 12SE +/- 4338134.07, N = 15SE +/- 4084095.42, N = 152191895432352408593073439233154303161. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power150K300K450K600K750K668223.51654520.00697627.07689321.78

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 317.6318.4022.7322.221. (CXX) g++ options: -O3 -lm

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.01490.02980.04470.05960.07450.0660.0630.0650.062

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.10710.21420.32130.42840.53550.4440.4760.4460.456

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

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

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 9755EPYC 9755 - Power0.00410.00820.01230.01640.02050.0180.0170.0160.016

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.32, N = 15SE +/- 0.32, N = 11SE +/- 0.31, N = 10SE +/- 0.45, N = 1045.2248.1055.7957.091. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1530456075SE +/- 0.52, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 356.1059.2367.7869.361. (CXX) g++ options: -O3 -lm -ldl

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.02, N = 7SE +/- 0.02, N = 7SE +/- 0.03, N = 7SE +/- 0.03, N = 712.4913.1314.2414.53

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.04012.08023.12034.16045.2005SE +/- 0.00164, N = 3SE +/- 0.00449, N = 3SE +/- 0.00697, N = 3SE +/- 0.01359, N = 34.188914.357384.622774.57734

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200M400M600M800M1000MSE +/- 696066.18, N = 3SE +/- 707531.18, N = 3SE +/- 707549.54, N = 3SE +/- 300359.50, N = 36077696506276331218221028288219259991. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power400K800K1200K1600K2000K1918650.381878922.221894471.541905830.82

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power400K800K1200K1600K2000K1998985.071950554.661969975.351967243.95

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power200M400M600M800M1000MSE +/- 4322874.61, N = 3SE +/- 463544.96, N = 3SE +/- 5260460.78, N = 3SE +/- 646946.28, N = 35772153746073502957868965807944000751. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 9755EPYC 9755 - Power10K20K30K40K50K47921.2443796.4737790.6238436.40

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3M6M9M12M15MSE +/- 51257.47, N = 3SE +/- 107977.86, N = 3SE +/- 136953.60, N = 3SE +/- 127571.69, N = 312513777.6913608100.1213316660.1013567376.301. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power160320480640800SE +/- 1.08, N = 3SE +/- 1.82, N = 3SE +/- 6.12, N = 3SE +/- 5.79, N = 3740.48750.83698.12697.07MIN: 68.57 / MAX: 8571.43MIN: 73.53 / MAX: 7500MIN: 80.86 / MAX: 6666.67MIN: 82.42 / MAX: 5454.55

ClickHouse

100M Rows Hits Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 5.05, N = 3SE +/- 4.08, N = 3SE +/- 5.27, N = 3SE +/- 5.61, N = 3755.69774.74729.56729.06MIN: 69.93 / MAX: 7500MIN: 73.71 / MAX: 8571.43MIN: 81.63 / MAX: 7500MIN: 84.27 / MAX: 7500

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power170340510680850SE +/- 0.75, N = 3SE +/- 2.15, N = 3SE +/- 4.70, N = 3SE +/- 0.97, N = 3763.39771.87724.64724.35MIN: 69.36 / MAX: 8571.43MIN: 73.53 / MAX: 8571.43MIN: 85.11 / MAX: 6666.67MIN: 81.52 / MAX: 6000

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.03842.07683.11524.15365.1924.6154.5614.4314.420

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70K140K210K280K350KSE +/- 23.62, N = 3SE +/- 424.21, N = 3SE +/- 45.32, N = 3SE +/- 191.99, N = 32377392497453230003252781. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000792.83764.24778.22774.58

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000789.71761.35782.32772.62

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70014002100280035003348.483341.693396.833375.51

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70K140K210K280K350KSE +/- 7.33, N = 3SE +/- 83.70, N = 3SE +/- 53.35, N = 3SE +/- 32.03, N = 32378232499453230103256471. (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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300K600K900K1200K1500KSE +/- 1855.92, N = 3SE +/- 1000.00, N = 3SE +/- 1201.85, N = 3SE +/- 1527.53, N = 310393331042000136133313550001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000MSE +/- 6065476.07, N = 3SE +/- 2315407.33, N = 3SE +/- 14339494.80, N = 3SE +/- 7442296.54, N = 363276000006640033333849473333385272333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

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

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4M8M12M16M20M20685459.0520071736.0620115931.6319722991.21

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000MSE +/- 7992983.03, N = 3SE +/- 2850341.11, N = 3SE +/- 6331139.97, N = 3SE +/- 1068228.02, N = 362046333336514833333815190000082613666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

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

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4M8M12M16M20M20917606.8120218095.5919710155.4419526843.47

Liquid-DSP

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 9655 - PowerEPYC 9755EPYC 9755 - Power1.6M3.2M4.8M6.4M8M7245928.177176096.557237709.107222449.64

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power600M1200M1800M2400M3000MSE +/- 1659651.90, N = 3SE +/- 2781686.14, N = 3SE +/- 3925274.23, N = 3SE +/- 1980179.57, N = 321527666672188366667285546666728572333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power15K30K45K60K75KSE +/- 21.59, N = 3SE +/- 138.06, N = 3SE +/- 15.58, N = 3SE +/- 126.11, N = 350488.754719.269037.771625.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300600900120015001431.331287.441391.901335.30

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power40K80K120K160K200KSE +/- 367.39, N = 5SE +/- 412.37, N = 5SE +/- 878.07, N = 5SE +/- 629.86, N = 5154462.83153956.62194853.91197015.001. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power140280420560700619.92549.18644.42638.95

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power91827364536.7535.3040.0438.11

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300600900120015001272.731175.301197.561148.15

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power80K160K240K320K400KSE +/- 1611.44, N = 6SE +/- 1953.53, N = 6SE +/- 5529.34, N = 15SE +/- 4917.65, N = 15315803.13323478.52385558.53383678.731. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 41.67, N = 6SE +/- 64.97, N = 6SE +/- 55.66, N = 6SE +/- 80.37, N = 157042.537285.368647.628449.111. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power40K80K120K160K200KSE +/- 1820.15, N = 15SE +/- 1911.09, N = 15SE +/- 1302.88, N = 15SE +/- 1273.22, N = 15144599.38144307.52167026.93165446.881. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20K40K60K80K100KSE +/- 750.66, N = 15SE +/- 526.39, N = 15SE +/- 618.06, N = 15SE +/- 716.44, N = 1064867.5766383.2988208.3691585.721. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power110220330440550420.91388.54491.65507.34

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power600K1200K1800K2400K3000KSE +/- 365.28, N = 3SE +/- 1158.12, N = 3SE +/- 331.00, N = 3SE +/- 1824.02, N = 32029271.72136538.12755042.32788354.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power140028004200560070006366.615988.276287.446052.60

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.70571.41142.11712.82283.5285SE +/- 0.087065, N = 15SE +/- 0.064100, N = 15SE +/- 0.045208, N = 15SE +/- 0.059060, N = 153.1365172.7677682.7612602.7064621. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.23272.46543.69814.93086.1635SE +/- 0.054129, N = 15SE +/- 0.045321, N = 15SE +/- 0.073388, N = 15SE +/- 0.054249, N = 155.4787085.2107194.3936064.1082031. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

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

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3869809639621

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 19.97, N = 3SE +/- 20.87, N = 3SE +/- 3.71, N = 3SE +/- 5.49, N = 31383412875101549878

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power7K14K21K28K35KSE +/- 52.17, N = 3SE +/- 33.02, N = 3SE +/- 39.68, N = 3SE +/- 10.68, N = 330966258092037919757

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 31025955753732

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 14.29, N = 3SE +/- 15.94, N = 3SE +/- 14.19, N = 3SE +/- 3.61, N = 316295151881198211666

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power8K16K24K32K40KSE +/- 11.68, N = 3SE +/- 49.64, N = 3SE +/- 32.92, N = 3SE +/- 33.06, N = 335888336522398123412

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power70140210280350SE +/- 0.26, N = 3SE +/- 0.67, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3331.17288.00329.53292.74MIN: 259.06 / MAX: 360.41MIN: 260.94 / MAX: 324.73MIN: 165.13 / MAX: 354.63MIN: 133.4 / MAX: 322.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.320.310.480.46MIN: 0.13 / MAX: 22.72MIN: 0.12 / MAX: 21.96MIN: 0.13 / MAX: 26.24MIN: 0.13 / MAX: 25.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.3142.6283.9425.2566.57SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.845.445.625.30MIN: 2.3 / MAX: 25.04MIN: 1.9 / MAX: 24.72MIN: 2.01 / MAX: 29.21MIN: 2.08 / MAX: 28.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.687.047.226.86MIN: 4.09 / MAX: 22.61MIN: 4.45 / MAX: 21.05MIN: 4.48 / MAX: 26.34MIN: 3.75 / MAX: 24.21. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 356.9854.3757.5756.58MIN: 27.41 / MAX: 98.07MIN: 27.11 / MAX: 90.92MIN: 34.99 / MAX: 106.02MIN: 26.76 / MAX: 102.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 319.9518.6919.3618.68MIN: 10.11 / MAX: 40.96MIN: 9.95 / MAX: 40.46MIN: 9.99 / MAX: 44.41MIN: 9.73 / MAX: 45.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1.05082.10163.15244.20325.254SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.674.374.484.45MIN: 2.58 / MAX: 20.15MIN: 2.16 / MAX: 18.61MIN: 1.99 / MAX: 22.31MIN: 1.92 / MAX: 23.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.16380.32760.49140.65520.819SE +/- 0.000691, N = 9SE +/- 0.000929, N = 9SE +/- 0.004859, N = 15SE +/- 0.000376, N = 90.7279280.6726700.5134170.486509MIN: 0.63MIN: 0.58MIN: 0.48MIN: 0.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4080120160200SE +/- 0.40, N = 3SE +/- 0.42, N = 3SE +/- 0.88, N = 3SE +/- 1.23, N = 3194.47187.32201.76199.61

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 7.0Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 414.0913.7813.9813.91

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 384.1382.5483.2982.93

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.21, N = 3SE +/- 0.66, N = 3118.70114.80109.56108.75

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 1.17, N = 3SE +/- 1.57, N = 3SE +/- 1.52, N = 3SE +/- 0.32, N = 3126.33125.35128.13129.01

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 397.5894.8188.8987.66

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.06, N = 412.7912.7013.6713.64

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.030, N = 5SE +/- 0.036, N = 5SE +/- 0.013, N = 5SE +/- 0.035, N = 59.5279.4339.8689.868

WRF

Input: conus 2.5km

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power130026003900520065006147.336043.215574.365545.681. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.013, N = 6SE +/- 0.031, N = 6SE +/- 0.025, N = 7SE +/- 0.018, N = 77.3296.6905.4925.2551. (CXX) g++ options: -fopenmp -O2 -march=native

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 327.1926.4923.8224.131. (CC) gcc options: -shared -lxc -lblas -lmpi

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power300600900120015001334.11292.51326.21301.91. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.03188987, N = 5SE +/- 0.07400503, N = 5SE +/- 0.01274608, N = 6SE +/- 0.01593429, N = 67.095553407.174051766.478045386.457183441. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power61218243024.7022.9421.4422.861. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power61218243024.0722.2620.6020.281. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150114.28113.82120.35120.261. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power4080120160200195.15192.79160.37160.701. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 379.2075.3873.6772.32

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 391.0390.0777.2676.58

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 5SE +/- 0.02, N = 512.9712.219.469.50

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power816243240SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 332.6731.4724.0024.23

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 4SE +/- 0.02, N = 416.8016.1812.5012.41

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 340.6838.3329.7529.45

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3116.47111.3286.6286.87

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 416.5515.9412.7112.74

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 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.25450.5090.76351.0181.2725SE +/- 0.014837, N = 15SE +/- 0.010945, N = 15SE +/- 0.010948, N = 15SE +/- 0.010896, N = 151.1313251.0708830.9348960.9126771. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Helsing

Digit Range: 14 digit

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.26, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 359.2954.4743.0641.861. (CC) gcc options: -O2 -pthread

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power0.45950.9191.37851.8382.2975SE +/- 0.004, N = 11SE +/- 0.003, N = 11SE +/- 0.004, N = 12SE +/- 0.003, N = 122.0421.8341.5531.4591. (CXX) g++ options: -O3

Primesieve

Length: 1e13

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 324.2221.8117.9716.751. (CXX) g++ options: -O3

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 9655EPYC 9655 - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.010, N = 5SE +/- 0.011, N = 6SE +/- 0.015, N = 5SE +/- 0.020, N = 56.5896.4308.1738.068

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

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

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

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

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

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

CPU Power Consumption Monitor

MinAvgMaxXeon 6766E 2P Full108445497Intel Xeon 6980P 2P1178921079EPYC 965542301338EPYC 9655 - Power42328371EPYC 975545413469EPYC 9755 - Power44421477OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor2004006008001000

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

CPU Power Consumption Monitor

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

Memcached

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

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

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

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

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

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

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2172.2314.3EPYC 9655 - Power41.9185.5349.7EPYC 975544.4180.0458.2EPYC 9755 - Power44.5186.6459.8OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor120240360480600

miniBUDE

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

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

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

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

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

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

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

Pennant

CPU Power Consumption Monitor

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

NAS Parallel Benchmarks

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

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

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

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

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

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

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

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

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

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

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

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

CPU Power Consumption Monitor

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

Embree

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

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

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

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

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

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

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

CPU Power Consumption Monitor

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

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

CPU Power Consumption Monitor

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

Kvazaar

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6249.8285.8EPYC 9655 - Power42.1278.5321.4EPYC 975545.0281.8321.0EPYC 9755 - Power44.6281.2321.4OpenBenchmarking.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

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

Phoronix Test Suite v10.8.5