AMD EPYC 5th Gen Benchmarks - Performance vs. Power Determinism

Benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2411056-NE-TURINPOWE18&sro&grt.

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

AMD EPYC 5th Gen Benchmarks - Performance vs. Power Determinismcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingmt-dgemm: Sustained Floating-Point Rateaircrack-ng: amg: askap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve MT - Griddingastcenc: Mediumastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustiveblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlyclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runcloverleaf: clover_bm64_shortcloverleaf: clover_bm16coremark: CoreMark Size 666 - Iterations Per Secondembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crowngpaw: Carbon Nanotubegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpengromacs: MPI CPU - water_GMX50_barehelsing: 14 digitoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyjohn-the-ripper: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastlammps: Rhodopsin Proteinlammps: 20k Atomsliquid-dsp: 64 - 256 - 32liquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512lulesh: luxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUm-queens: Time To Solvememcached: 1:100minibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2namd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsnpb: LU.Cnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cnumpy: nwchem: C240 Buckyballonednn: Deconvolution Batch shapes_3d - CPUonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mopenssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305openvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvkl: vklBenchmarkCPU ISPCospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionpennant: leblancbigpennant: sedovbigprimesieve: 1e12primesieve: 1e13pytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-50quantlib: Multi-Threadedrocksdb: Rand Readsecuremark: SecureMark-TLSspeedb: Rand Readsrsran: PDSCH Processor Benchmark, Throughput Totalsrsran: PDSCH Processor Benchmark, Throughput Threadstockfish: Chess Benchmarksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Ktensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - AlexNetbuild-ffmpeg: Time To Compilebuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-imagemagick: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-mesa: Time To Compilebuild-nodejs: Time To Compileuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterwebp: Quality 100, Highest Compressionwrf: conus 2.5kmx265: Bosphorus 4Kincompact3d: input.i3d 193 Cells Per Directiony-cruncher: 1BEPYC 9755EPYC 9755 - PowerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - Power90815984673656.408890133016.391317708200070762.874093.316464.1701.7315110.038315.71959.65769.4624.0012.5029.7586.6212.71698.12729.56724.6422.09178.936042366.343047223.2053191.7839179.449423.82231345540322.72943.0575.845.852.85323010323000136133353.4253.9596.8155.79167.776278456666784947333338151900000285546666737645.97320.9413.9632.025.49213316660.109647.496385.9009654.576386.18314.244934.62277385558.53194853.918647.62167026.9388208.36795.831326.20.51341744.199922.658621.4414620.597089120.3457160.3737873.6777.2669037.72755042.318666039331372359767240200736535147018377658507471186359294450807009841427193.80329.53190777.830.48733.8087.1418679.3611232.265.628730.887.221109.7557.5731655.574774.333287.4319.3613949.894.4810557.16365455.176254.392754.3958639101542037975311982239810.9348962.7612604.3936061.55317.96843.6117.4243.83465436.878689658040545482210282819454.1994.0307343923271.924281.589118.16311.275203.332271.95659.11246.242665.9213.978128.13283.2939.86823.344201.75588.89313.669109.56139.1443.859.81023.7433.905574.36334.216.478045388.17392027288227459.205514132331.063318441333370893.574456.516512709.9896113.225216.15999.91639.5024.2312.4129.4586.8712.74697.07729.06724.3522.01179.396122915.494912229.2964196.9262184.613624.12831349643222.22341.8576.066.062.96325647325278135500055.5356.2297.8857.08669.362278330000085272333338261366667285723333337688.07221.1614.4630.845.25513567376.309601.732384.0699659.615386.38514.531444.57734383678.73197015.008449.11165446.8891585.72795.771301.90.48650943.975522.765322.85900720.279899120.25556160.7003872.3276.5871625.52788354.718622496622374077330627199993902967318386985505201185155368277806355069187218.20292.74199930.180.46715.7289.4020954.3411890.895.39199.756.861129.2356.5834304.094802.283403.9618.6814033.954.4510716.32374156.524855.276155.475862198781975773211666234120.9126772.7064624.1082031.45916.74643.2517.4543.77463866.679440007540603682192599920634.21002.6315430316275.540279.701121.92711.271203.722323.46662.67246.592780.1413.907129.00782.9339.86823.339199.60887.66313.638108.74740.9045.859.94824.1513.895545.67634.366.457183448.06876289162660043.193765141244.578307673966755898.859791.116317.0566.056681.684411.57577.105312.9732.6716.8040.68116.4716.55740.48755.69763.3921.49175.974550652.098964172.9986148.7896136.803527.18828436432017.63259.2865.175.192.47237823237739103933344.4044.9390.0845.22256.103293723333363276000006204633333215276666735503.68516.8012.7424.197.32912513777.695141.082205.6436705.147268.20612.491474.18891315803.13154462.837042.53144599.3864867.57870.031334.10.72792849.885120.044324.69787424.071752114.28075195.1475679.2091.0350488.72029271.71376255919075390101449014728351518271344599403087905409634213615627362850144.65331.17173358.470.32686.9169.7213972.578123.125.846173.617.68840.0556.9823288.263506.592393.8619.9510064.754.678266.34281441.246042.126642.20308691383430966102516295358881.1313253.1365175.4787082.04224.21546.7119.2246.52341991.757721537443971560776965023913.01076.5219189543249.291258.613107.42211.285210.141897.88671.97240.072083.4214.093126.33384.1349.52722.713194.47497.57812.793118.69831.9035.959.62322.6684.276147.33435.707.095553406.58978219667879546.119303153599.307308597700057262.659791.116337.9605.277188.035712.43447.631612.2131.4716.1838.33111.3215.94750.83774.74771.8721.56175.974746235.879094180.8031155.2267144.657126.48930340835418.39754.4665.495.492.66249945249745104200047.7048.1996.0448.09859.226302253333366400333336514833333218836666735779.64918.2913.2425.706.69013608100.125509.927220.3976885.049275.40213.133204.35738323478.52153956.627285.36144307.5266383.29863.991292.50.67267048.814520.490222.94106222.2558113.8233192.7864975.3890.0754719.22136538.11428903713305667035817315303804271731404398097110908172666287618208266013166.34288.00185028.400.31711.2667.3415518.658699.175.446722.707.04881.1254.3725130.853680.242550.6818.6910744.484.378640.54297643.936644.463143.8461809128752580995515188336521.0708832.7677685.2107191.83421.80648.8419.7448.52353852.560735029544590862763312125992.51071.4235240859265.769273.179112.51711.681215.322028.18693.23246.032221.8513.781125.34782.5359.43322.286187.32194.81112.701114.80134.1338.4010.09124.0694.266043.20636.017.174051766.4301078506101604079.597263596123033310616511452513058.4598.5116130.017521.396113.03226.6616.619.0120.6461.509.61721.43735.48741.4320.67230.378395282.209354262.0596220.1741229.690623.77033452047529.47329.9874.544.402.22460416455597200150070.6572.3886.1766.53575.788295673333390931000008926633333356136666769266.93024.3412.3935.364.60713798695.257528.093301.12410753.051430.12227.179607.93661589945.23329784.5413161.52237346.22109363.45871.911299.40.61093925.686039.137522.79757216.816965133.9042888.28909365.6149.73100988.84049226.32749726376001072047590502949554693370268296868668317961165447171221386705673292.34163.97210660.460.21470.1332.6329775.2116407.952.9211417.024.191491.9532.1349343.566976.194918.449.7518938.652.5311384.88463477.534474.199574.49664517149142905328448169870.8920091.8693503.0217631.19612.47726.3211.5726.98690813.61155058979440126119987191815913.21056.9426839881250.394253.989109.18411.186184.471989.89511.28238.492616.5912.144112.43476.4339.04518.012117.46667.19812.28584.49251.6854.244.283241.00435.453.488674848.3951095466107093586.218057597435833310923411808713000.7607.8989140.996922.578714.01696.4016.038.5619.8459.239.36728.91736.37747.9520.39231.778763837.022327264.4782223.9959242.284223.14134356349931.07027.6744.684.782.32474265472498200540074.8876.3190.6769.48478.451302143333394504333339213033333359813333369836.35025.8512.4338.534.42914267081.697742.991309.72011200.133448.00528.762538.15072610380.70334250.9713249.55245220.03110940.14872.2912540.56154328.606834.955221.59263516.157032114.9892686.21336463.0948.43108838.94229820.42833553185231122209363133038142851573279609616529717982546315931222533320337318.19150.68212321.990.181545.6631.0433372.0617500.382.7412204.113.931548.7030.9555029.537387.045259.259.1220214.972.3711848.72484781.550577.319477.47214266731134595068021159810.8827921.8002692.8572911.10911.24726.5411.6227.38710294.61201420521442106124135395617008.11066.8441217767266.963274.240113.91811.409190.342066.99514.70238.822690.5012.127112.96376.1109.07717.835115.27166.46212.34986.97453.8156.254.273244.37335.643.445721198.329OpenBenchmarking.org

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power200K400K600K800K1000KSE +/- 660.09, N = 3SE +/- 1100.58, N = 3SE +/- 6132.86, N = 3SE +/- 14562.31, N = 3SE +/- 3530.77, N = 3SE +/- 3611.53, N = 3762891782196107850610954669081599202721. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power200K400K600K800K1000KSE +/- 257.58, N = 3SE +/- 692.69, N = 3SE +/- 17629.29, N = 3SE +/- 16773.88, N = 3SE +/- 276.36, N = 3SE +/- 188.95, N = 3626600678795101604010709358467368822741. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power80016002400320040002211.882145.993560.253362.102269.162232.64

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5283.3363.2EPYC 9655 - Power42.3316.3401.1EPYC 9655 2P44.1285.4371.8EPYC 9655 2P - Power44.4318.5401.2EPYC 975544.7373.2482.8EPYC 9755 - Power44.5395.2499.9OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor130260390520650

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.15, N = 7SE +/- 0.15, N = 7SE +/- 0.17, N = 9SE +/- 0.18, N = 10SE +/- 0.18, N = 8SE +/- 0.20, N = 843.1946.1279.6086.2256.4159.211. (CC) gcc options: -O3 -march=native -fopenmp

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.11180.22360.33540.44720.5590.2190.2080.4970.4810.2460.238

ACES DGEMM

CPU Power Consumption Monitor

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

Aircrack-ng

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

Aircrack-ng

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

Aircrack-ng

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.1251.4299.3EPYC 9655 - Power42.1305.8368.0EPYC 975544.6326.7379.8EPYC 9755 - Power44.6327.1380.8OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.7CPU Power Consumption Monitor100200300400500

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1300M2600M3900M5200M6500MSE +/- 4068843.09, N = 3SE +/- 3204898.91, N = 3SE +/- 18981834.93, N = 3SE +/- 16519338.83, N = 3SE +/- 6342005.91, N = 3SE +/- 2174206.39, N = 33076739667308597700059612303335974358333317708200031844133331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power5M10M15M20M25M11562385.409807760.7921951337.6819282777.649501967.559428172.22

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 965541.9266.1338.1EPYC 9655 - Power41.6314.6400.5EPYC 9655 2P43.5271.6350.0EPYC 9655 2P - Power43.7309.8401.2EPYC 975544.4334.4438.6EPYC 9755 - Power44.2337.8463.0OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor120240360480600

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20K40K60K80K100KSE +/- 328.80, N = 3SE +/- 601.20, N = 3SE +/- 1206.67, N = 3SE +/- 1248.33, N = 3SE +/- 395.30, N = 3SE +/- 519.97, N = 1555898.857262.6106165.0109234.070762.870893.51. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power30K60K90K120K150KSE +/- 380.83, N = 3SE +/- 380.83, N = 3SE +/- 1202.40, N = 3SE +/- 733.67, N = 3SE +/- 438.43, N = 3SE +/- 308.95, N = 1559791.159791.1114525.0118087.074093.374456.51. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power90180270360450209.31178.18402.74357.39207.54205.38

ASKAP

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.0285.7357.7EPYC 9655 - Power42.4335.6399.7EPYC 9655 2P44.6284.4361.2EPYC 9655 2P - Power44.0330.4400.1EPYC 975545.0357.0474.4EPYC 9755 - Power44.5362.5499.9OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor130260390520650

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 10.86, N = 3SE +/- 22.76, N = 3SE +/- 18.59, N = 3SE +/- 81.25, N = 3SE +/- 0.00, N = 3SE +/- 2.31, N = 316317.016337.913058.413000.716464.116512.01. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power150300450600750SE +/- 1.30, N = 8SE +/- 1.60, N = 8SE +/- 7.51, N = 15SE +/- 6.94, N = 15SE +/- 3.94, N = 8SE +/- 6.53, N = 15566.06605.28598.51607.90701.73709.991. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1.18282.36563.54844.73125.9144.8794.9244.8394.5585.2575.218

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.01, N = 5SE +/- 0.07, N = 5SE +/- 0.97, N = 15SE +/- 1.29, N = 15SE +/- 0.02, N = 6SE +/- 0.02, N = 681.6888.04130.02141.00110.04113.231. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.17480.34960.52440.69920.8740.4580.4650.7550.7770.5410.538

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2178.3319.1EPYC 9655 - Power41.9189.5357.4EPYC 9655 2P43.9172.3334.9EPYC 9655 2P - Power44.0181.4373.3EPYC 975544.5203.3437.2EPYC 9755 - Power44.4210.5458.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor120240360480600

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 4SE +/- 0.25, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 311.5812.4321.4022.5815.7216.161. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Very Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01960.03920.05880.07840.0980.0450.0450.0870.0860.0500.049

ASTC Encoder

CPU Power Consumption Monitor

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

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.0012, N = 3SE +/- 0.0030, N = 3SE +/- 0.0874, N = 15SE +/- 0.1552, N = 4SE +/- 0.0004, N = 3SE +/- 0.0052, N = 37.10537.631613.032214.01699.65769.91631. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01220.02440.03660.04880.0610.0280.0280.0540.0540.0300.030

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6256.3324.5EPYC 9655 - Power42.4277.0361.5EPYC 9655 2P26.1243.1350.4EPYC 9655 2P - Power44.3261.7386.4EPYC 975544.7318.6450.4EPYC 9755 - Power44.5330.8472.2OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.7CPU Power Consumption Monitor120240360480600

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 6SE +/- 0.02, N = 6SE +/- 0.01, N = 5SE +/- 0.02, N = 512.9712.216.666.409.469.50

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5254.7335.4EPYC 9655 - Power42.1270.1361.2EPYC 9655 2P44.2224.0359.7EPYC 9655 2P - Power44.6235.2382.8EPYC 975544.7317.6461.2EPYC 9755 - Power44.7320.3473.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power816243240SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 4SE +/- 0.05, N = 3SE +/- 0.05, N = 332.6731.4716.6116.0324.0024.23

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6302.8340.2EPYC 9655 - Power42.1317.4359.2EPYC 9655 2P44.2290.2361.7EPYC 9655 2P - Power44.3306.6382.8EPYC 975544.8395.6467.1EPYC 9755 - Power45.0397.0466.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 4SE +/- 0.02, N = 416.8016.189.018.5612.5012.41

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5267.3340.6EPYC 9655 - Power42.0284.7366.4EPYC 9655 2P44.4241.7367.1EPYC 9655 2P - Power44.2259.0392.8EPYC 975544.9338.6471.9EPYC 9755 - Power44.7343.2478.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 340.6838.3320.6419.8429.7529.45

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6299.9333.6EPYC 9655 - Power42.2322.5361.6EPYC 9655 2P44.5292.6358.9EPYC 9655 2P - Power44.4310.6387.3EPYC 975544.7395.0458.0EPYC 9755 - Power45.0403.2469.4OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor120240360480600

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3116.47111.3261.5059.2386.6286.87

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8334.1355.5EPYC 9655 - Power42.1358.4382.1EPYC 9655 2P44.2334.2378.2EPYC 9655 2P - Power44.4356.6401.1EPYC 975545.1446.0487.0EPYC 9755 - Power44.6453.1491.2OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

Blender

Blend File: Junkshop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.02, N = 5SE +/- 0.05, N = 5SE +/- 0.03, N = 4SE +/- 0.07, N = 416.5515.949.619.3612.7112.74

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8286.9368.7EPYC 9655 - Power42.4302.9395.0EPYC 9655 2P44.5254.0379.6EPYC 9655 2P - Power44.5267.9400.8EPYC 975545.0350.7492.1EPYC 9755 - Power44.9357.0498.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.1CPU Power Consumption Monitor130260390520650

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power160320480640800SE +/- 1.08, N = 3SE +/- 1.82, N = 3SE +/- 2.73, N = 3SE +/- 6.47, N = 3SE +/- 6.12, N = 3SE +/- 5.79, N = 3740.48750.83721.43728.91698.12697.07MIN: 68.57 / MAX: 8571.43MIN: 73.53 / MAX: 7500MIN: 107.91 / MAX: 7500MIN: 105.45 / MAX: 6666.67MIN: 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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 5.05, N = 3SE +/- 4.08, N = 3SE +/- 5.84, N = 3SE +/- 8.92, N = 3SE +/- 5.27, N = 3SE +/- 5.61, N = 3755.69774.74735.48736.37729.56729.06MIN: 69.93 / MAX: 7500MIN: 73.71 / MAX: 8571.43MIN: 110.29 / MAX: 7500MIN: 113.42 / MAX: 6666.67MIN: 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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power170340510680850SE +/- 0.75, N = 3SE +/- 2.15, N = 3SE +/- 2.38, N = 3SE +/- 3.66, N = 3SE +/- 4.70, N = 3SE +/- 0.97, N = 3763.39771.87741.43747.95724.64724.35MIN: 69.36 / MAX: 8571.43MIN: 73.53 / MAX: 8571.43MIN: 105.26 / MAX: 7500MIN: 110.5 / MAX: 7500MIN: 85.11 / MAX: 6666.67MIN: 81.52 / MAX: 6000

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1.03842.07683.11524.15365.1924.6154.5614.5324.5524.4314.420

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxEPYC 965541.9165.4302.9EPYC 9655 - Power41.9169.2357.0EPYC 9655 2P44.1163.6297.5EPYC 9655 2P - Power43.9164.3317.3EPYC 975544.4163.5407.0EPYC 9755 - Power44.2163.9418.1OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.12.3.5CPU Power Consumption Monitor110220330440550

CloverLeaf

Input: clover_bm64_short

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm64_shortEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 15SE +/- 0.07, N = 3SE +/- 0.05, N = 321.4921.5620.6720.3922.0922.011. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

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

CloverLeaf

Input: clover_bm16

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 1.12, N = 3SE +/- 0.80, N = 3SE +/- 0.24, N = 3SE +/- 0.07, N = 3175.97175.97230.37231.77178.93179.391. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CloverLeaf

CPU Power Consumption Monitor

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

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2M4M6M8M10MSE +/- 8964.82, N = 3SE +/- 24173.23, N = 3SE +/- 47498.43, N = 3SE +/- 40995.91, N = 3SE +/- 10789.95, N = 3SE +/- 17530.74, N = 34550652.104746235.888395282.218763837.026042366.346122915.491. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power6K12K18K24K30K14303.0313758.8127913.2125953.1114585.7414350.09

Coremark

CPU Power Consumption Monitor

MinAvgMaxEPYC 965541.8318.2348.1EPYC 9655 - Power41.5345.0390.8EPYC 9655 2P44.0300.8367.3EPYC 9655 2P - Power44.0337.7399.3EPYC 975544.7414.3479.8EPYC 9755 - Power44.2426.7492.5OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor130260390520650

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 41.04 / Avg: 253.26 / Max: 371.62Min: 21.26 / Avg: 281.8 / Max: 401.73Min: 22.76 / Avg: 253.2 / Max: 382.79Min: 22.1 / Avg: 280.39 / Max: 402.02Min: 44.19 / Avg: 324.1 / Max: 500.98Min: 22.8 / Avg: 330.62 / Max: 511.84

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power60120180240300SE +/- 0.11, N = 8SE +/- 0.07, N = 8SE +/- 2.22, N = 15SE +/- 1.39, N = 8SE +/- 0.06, N = 8SE +/- 0.05, N = 9173.00180.80262.06264.48223.21229.30MIN: 170.04 / MAX: 176.59MIN: 178.16 / MAX: 184.07MIN: 209.29 / MAX: 297.79MIN: 212.5 / MAX: 306.56MIN: 219.93 / MAX: 227.73MIN: 226.03 / MAX: 234.63

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.31640.63280.94921.26561.5820.8720.8211.4061.2760.9650.944

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5198.4353.1EPYC 9655 - Power42.2220.3400.8EPYC 9655 2P44.4186.4361.8EPYC 9655 2P - Power44.7207.2399.7EPYC 975544.7231.4467.8EPYC 9755 - Power44.5242.9501.6OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor130260390520650

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.07, N = 5SE +/- 0.06, N = 5SE +/- 1.69, N = 15SE +/- 1.49, N = 15SE +/- 0.14, N = 5SE +/- 0.07, N = 5148.79155.23220.17224.00191.78196.93MIN: 146.45 / MAX: 152.13MIN: 152.81 / MAX: 158.1MIN: 192.38 / MAX: 242.25MIN: 198.29 / MAX: 258.4MIN: 188.36 / MAX: 196.2MIN: 193.84 / MAX: 201.41

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.3040.6080.9121.2161.520.8920.8731.3511.2821.0851.045

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4166.7351.9EPYC 9655 - Power41.9177.8399.6EPYC 9655 2P44.1163.0360.6EPYC 9655 2P - Power44.1174.8400.8EPYC 975544.6176.7465.2EPYC 9755 - Power44.4188.5500.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor130260390520650

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.03, N = 7SE +/- 0.03, N = 7SE +/- 1.81, N = 8SE +/- 0.54, N = 8SE +/- 0.11, N = 8SE +/- 0.09, N = 8136.80144.66229.69242.28179.45184.61MIN: 133.41 / MAX: 142.65MIN: 141.2 / MAX: 148.79MIN: 202.63 / MAX: 249.19MIN: 218.62 / MAX: 262.46MIN: 175.01 / MAX: 186.64MIN: 180.02 / MAX: 191.76

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.26660.53320.79981.06641.3330.6340.5991.1851.1630.7000.687

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5215.6352.1EPYC 9655 - Power42.0241.3400.8EPYC 9655 2P44.0193.9361.5EPYC 9655 2P - Power43.8208.3400.3EPYC 975544.5256.2473.6EPYC 9755 - Power44.3268.8500.0OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor130260390520650

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 327.1926.4923.7723.1423.8224.131. (CC) gcc options: -shared -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

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

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power70140210280350SE +/- 2.08, N = 3SE +/- 0.33, N = 3SE +/- 3.56, N = 5SE +/- 2.19, N = 3SE +/- 0.58, N = 3SE +/- 1.00, N = 32843033343433133131. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.4390.8781.3171.7562.1951.5641.5321.9511.9091.5051.482

GraphicsMagick

CPU Power Consumption Monitor

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

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power120240360480600SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 2.08, N = 3SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 33644085205634554961. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.48740.97481.46221.94962.4371.4211.3372.1662.0271.4051.334

GraphicsMagick

CPU Power Consumption Monitor

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

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power110220330440550SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 1.53, N = 3SE +/- 1.76, N = 3SE +/- 0.33, N = 3SE +/- 0.88, N = 33203544754994034321. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.41380.82761.24141.65522.0691.1881.1241.8391.7601.1701.140

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4269.3287.7EPYC 9655 - Power42.3314.9337.9EPYC 9655 2P45.0258.4277.0EPYC 9655 2P - Power44.2283.5312.3EPYC 975545.0344.3371.9EPYC 9755 - Power44.6379.0406.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.43CPU Power Consumption Monitor110220330440550

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power714212835SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.30, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 317.6318.4029.4731.0722.7322.221. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.02570.05140.07710.10280.12850.0660.0630.1140.1090.0650.062

GROMACS

CPU Power Consumption Monitor

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

Helsing

Digit Range: 14 digit

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.26, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 359.2954.4729.9927.6743.0641.861. (CC) gcc options: -O2 -pthread

Helsing

CPU Power Consumption Monitor

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

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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.07, N = 15SE +/- 0.11, N = 15SE +/- 0.01, N = 7SE +/- 0.01, N = 75.175.494.544.685.846.06

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.00590.01180.01770.02360.02950.0260.0260.0240.0220.0240.024

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4195.8313.9EPYC 9655 - Power41.9208.0343.1EPYC 9655 2P44.0192.4300.1EPYC 9655 2P - Power44.1209.5341.4EPYC 975544.6239.9408.8EPYC 9755 - Power44.6254.2444.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor120240360480600

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.06, N = 15SE +/- 0.08, N = 15SE +/- 0.00, N = 7SE +/- 0.00, N = 75.195.494.404.785.856.06

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.00590.01180.01770.02360.02950.0260.0260.0220.0230.0250.024

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6197.4312.5EPYC 9655 - Power41.8209.4341.9EPYC 9655 2P44.1196.3300.5EPYC 9655 2P - Power44.2206.9333.1EPYC 975544.6237.3409.6EPYC 9755 - Power44.4256.0440.0OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor120240360480600

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.6661.3321.9982.6643.33SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.04, N = 12SE +/- 0.04, N = 15SE +/- 0.00, N = 5SE +/- 0.00, N = 52.472.662.222.322.852.96

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.00230.00460.00690.00920.01150.0100.0100.0100.0090.0100.009

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8239.3309.4EPYC 9655 - Power42.2261.6347.2EPYC 9655 2P44.1227.2292.8EPYC 9655 2P - Power44.2245.7328.2EPYC 975544.8299.1406.1EPYC 9755 - Power44.8322.2443.8OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.2CPU Power Consumption Monitor120240360480600

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power100K200K300K400K500KSE +/- 7.33, N = 3SE +/- 83.70, N = 3SE +/- 1429.13, N = 3SE +/- 2042.80, N = 3SE +/- 53.35, N = 3SE +/- 32.03, N = 32378232499454604164742653230103256471. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power30060090012001500792.83764.241478.571400.61778.22774.58

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542301338EPYC 9655 - Power42328371EPYC 9655 2P44311353EPYC 9655 2P - Power45338385EPYC 975545415468EPYC 9755 - Power45420477Intel Xeon 6980P 2P1178921079Xeon 6766E 2P Full108445497OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor2004006008001000

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power100K200K300K400K500KSE +/- 23.62, N = 3SE +/- 424.21, N = 3SE +/- 4890.26, N = 4SE +/- 4308.74, N = 3SE +/- 45.32, N = 3SE +/- 191.99, N = 32377392497454555974724983230003252781. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: bcrypt

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power30060090012001500789.71761.351463.851398.98782.32772.62

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power400K800K1200K1600K2000KSE +/- 1855.92, N = 3SE +/- 1000.00, N = 3SE +/- 18489.19, N = 6SE +/- 20771.62, N = 5SE +/- 1201.85, N = 3SE +/- 1527.53, N = 31039333104200020015002005400136133313550001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

John The Ripper

Test: WPA PSK

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power130026003900520065003348.483341.696164.886123.953396.833375.51

John The Ripper

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4310.4352.3EPYC 9655 - Power42.1311.8351.7EPYC 9655 2P44.4324.7367.1EPYC 9655 2P - Power45.1327.5368.5EPYC 975544.9400.8455.8EPYC 9755 - Power44.8401.4454.4OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor120240360480600

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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.03, N = 4SE +/- 0.08, N = 4SE +/- 0.47, N = 14SE +/- 0.69, N = 6SE +/- 0.06, N = 5SE +/- 0.08, N = 544.4047.7070.6574.8853.4255.531. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.07270.14540.21810.29080.36350.2060.1930.3230.3090.1950.186

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3215.5278.1EPYC 9655 - Power41.7247.1325.1EPYC 9655 2P44.4218.6319.0EPYC 9655 2P - Power44.1241.8360.8EPYC 975544.7273.8377.9EPYC 9755 - Power44.6299.0418.6OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor110220330440550

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.06, N = 4SE +/- 0.09, N = 4SE +/- 0.40, N = 5SE +/- 0.50, N = 6SE +/- 0.01, N = 5SE +/- 0.03, N = 544.9348.1972.3876.3153.9556.221. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.07630.15260.22890.30520.38150.2100.1990.3390.3170.1970.188

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7213.7276.1EPYC 9655 - Power42.2241.6325.0EPYC 9655 2P44.4213.8314.8EPYC 9655 2P - Power44.5240.5364.0EPYC 975544.6273.6378.0EPYC 9755 - Power44.7298.3418.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor110220330440550

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.23, N = 6SE +/- 0.62, N = 7SE +/- 0.29, N = 6SE +/- 0.53, N = 6SE +/- 0.49, N = 7SE +/- 0.32, N = 790.0896.0486.1790.6796.8197.881. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.11160.22320.33480.44640.5580.4960.4600.4610.4370.4280.424

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5181.6276.2EPYC 9655 - Power41.8208.9333.9EPYC 9655 2P44.2187.1277.9EPYC 9655 2P - Power44.2207.4329.4EPYC 975544.7226.3360.3EPYC 9755 - Power44.5230.7372.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor100200300400500

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1530456075SE +/- 0.32, N = 15SE +/- 0.32, N = 11SE +/- 0.29, N = 7SE +/- 0.65, N = 7SE +/- 0.31, N = 10SE +/- 0.45, N = 1045.2248.1066.5469.4855.7957.091. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.10710.21420.32130.42840.53550.4440.4760.4590.4520.4460.456

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.52, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.38, N = 356.1059.2375.7978.4567.7869.361. (CXX) g++ options: -O3 -lm -ldl

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.05130.10260.15390.20520.25650.1680.1590.2280.2110.1470.145

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2334.9355.5EPYC 9655 - Power41.9371.7387.0EPYC 9655 2P44.1332.7359.7EPYC 9655 2P - Power44.8371.7399.2EPYC 975544.3461.9488.1EPYC 9755 - Power44.7479.7499.8OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption Monitor130260390520650

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power600M1200M1800M2400M3000MSE +/- 1927289.40, N = 3SE +/- 825294.56, N = 3SE +/- 1211518.79, N = 3SE +/- 1858613.58, N = 3SE +/- 233333.33, N = 3SE +/- 568624.07, N = 32937233333302253333329567333333021433333278456666727833000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 32

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2M4M6M8M10M10115911.789187017.7210123389.249206835.359762222.129773579.35

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.1290.4329.3EPYC 9655 - Power41.7329.0373.4EPYC 9655 2P43.6292.1338.1EPYC 9655 2P - Power43.6328.2392.1EPYC 975544.7285.2320.1EPYC 9755 - Power44.5284.8321.2OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor110220330440550

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000MSE +/- 6065476.07, N = 3SE +/- 2315407.33, N = 3SE +/- 49681015.82, N = 3SE +/- 30930100.41, N = 3SE +/- 14339494.80, N = 3SE +/- 7442296.54, N = 36327600000664003333390931000009450433333849473333385272333331. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power6M12M18M24M30M20685459.0520071736.0628121281.8027117623.5920115931.6319722991.21

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5305.9344.2EPYC 9655 - Power42.1330.8374.0EPYC 9655 2P44.2323.4364.8EPYC 9655 2P - Power44.3348.5394.8EPYC 975545.2422.3487.6EPYC 9755 - Power45.0432.3488.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor130260390520650

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000MSE +/- 7992983.03, N = 3SE +/- 2850341.11, N = 3SE +/- 38320157.16, N = 3SE +/- 10083374.66, N = 3SE +/- 6331139.97, N = 3SE +/- 1068228.02, N = 36204633333651483333389266333339213033333815190000082613666671. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power6M12M18M24M30M20917606.8120218095.5927728031.7826314369.5019710155.4419526843.47

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7296.6337.9EPYC 9655 - Power42.4322.2362.5EPYC 9655 2P45.2321.9365.1EPYC 9655 2P - Power45.4350.1395.1EPYC 975544.8413.6472.3EPYC 9755 - Power44.6423.1477.5OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor120240360480600

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power800M1600M2400M3200M4000MSE +/- 1659651.90, N = 3SE +/- 2781686.14, N = 3SE +/- 26473907.49, N = 3SE +/- 19402777.58, N = 3SE +/- 3925274.23, N = 3SE +/- 1980179.57, N = 32152766667218836666735613666673598133333285546666728572333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

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

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2M4M6M8M10M7245928.177176096.5511250500.4411110378.087237709.107222449.64

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6297.1338.8EPYC 9655 - Power42.3305.0347.1EPYC 9655 2P44.7316.6361.2EPYC 9655 2P - Power44.5323.9370.9EPYC 975545.4394.5450.7EPYC 9755 - Power44.7395.6451.8OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor120240360480600

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power15K30K45K60K75KSE +/- 535.60, N = 15SE +/- 570.38, N = 15SE +/- 1045.33, N = 15SE +/- 1071.97, N = 15SE +/- 450.61, N = 15SE +/- 426.75, N = 1535503.6935779.6569266.9369836.3537645.9737688.071. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power70140210280350166.40154.61306.25283.75129.24126.88

LULESH

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.1213.4333.7EPYC 9655 - Power41.9231.4369.4EPYC 9655 2P44.1226.2340.2EPYC 9655 2P - Power44.2246.1384.6EPYC 975544.5291.3459.2EPYC 9755 - Power44.6297.0481.2OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor120240360480600

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.17, N = 15SE +/- 0.23, N = 15SE +/- 0.51, N = 12SE +/- 0.05, N = 3SE +/- 0.33, N = 15SE +/- 0.21, N = 316.8018.2924.3425.8520.9421.16MIN: 15.67 / MAX: 20.23MIN: 16.97 / MAX: 21.39MIN: 21.68 / MAX: 36.31MIN: 24.44 / MAX: 38.15MIN: 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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01760.03520.05280.07040.0880.0540.0510.0780.0710.0480.045

LuxCoreRender

CPU Power Consumption Monitor

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

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 15SE +/- 0.26, N = 15SE +/- 0.14, N = 15SE +/- 0.19, N = 312.7413.2412.3912.4313.9614.46MIN: 6.13 / MAX: 14.49MIN: 6.48 / MAX: 15.17MIN: 5.44 / MAX: 16.29MIN: 5.65 / MAX: 16.74MIN: 6.55 / MAX: 16.95MIN: 7.35 / MAX: 16.92

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01010.02020.03030.04040.05050.0440.0410.0450.0390.0380.035

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6286.9320.8EPYC 9655 - Power42.3323.6368.5EPYC 9655 2P44.2278.4334.1EPYC 9655 2P - Power44.4319.2381.8EPYC 975544.9369.8444.6EPYC 9755 - Power44.9411.7490.6OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor130260390520650

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.53, N = 14SE +/- 0.90, N = 15SE +/- 0.52, N = 15SE +/- 0.35, N = 1524.1925.7035.3638.5332.0230.84MIN: 21.58 / MAX: 32.81MIN: 22.87 / MAX: 34.83MIN: 29.34 / MAX: 57.89MIN: 30.95 / MAX: 59.82MIN: 26.48 / MAX: 43.04MIN: 26.95 / MAX: 43.78

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.02630.05260.07890.10520.13150.0800.0760.1170.1100.0740.068

LuxCoreRender

CPU Power Consumption Monitor

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

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.013, N = 6SE +/- 0.031, N = 6SE +/- 0.077, N = 15SE +/- 0.073, N = 15SE +/- 0.025, N = 7SE +/- 0.018, N = 77.3296.6904.6074.4295.4925.2551. (CXX) g++ options: -fopenmp -O2 -march=native

m-queens

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2215.2315.9EPYC 9655 - Power42.4244.3375.0EPYC 9655 2P22.8197.4338.4EPYC 9655 2P - Power44.2220.8391.9EPYC 975544.7265.1441.7EPYC 9755 - Power44.7283.2488.1OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor130260390520650

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3M6M9M12M15MSE +/- 51257.47, N = 3SE +/- 107977.86, N = 3SE +/- 32915.29, N = 3SE +/- 58584.80, N = 3SE +/- 136953.60, N = 3SE +/- 127571.69, N = 312513777.6913608100.1213798695.2514267081.6913316660.1013567376.301. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power11K22K33K44K55K47921.2443796.4750454.7545342.5137790.6238436.40

Memcached

CPU Power Consumption Monitor

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 36.48, N = 8SE +/- 30.12, N = 8SE +/- 207.48, N = 15SE +/- 227.27, N = 13SE +/- 66.65, N = 11SE +/- 19.04, N = 105141.085509.937528.097742.999647.509601.731. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power80160240320400SE +/- 1.46, N = 8SE +/- 1.20, N = 8SE +/- 8.30, N = 15SE +/- 9.09, N = 13SE +/- 2.67, N = 11SE +/- 0.76, N = 10205.64220.40301.12309.72385.90384.071. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM1

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.48240.96481.44721.92962.4121.1941.1881.9541.8862.1442.058

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2172.2314.3EPYC 9655 - Power41.9185.5349.7EPYC 9655 2P44.0154.1346.7EPYC 9655 2P - Power43.8164.2373.1EPYC 975544.4180.0458.2EPYC 9755 - Power44.5186.6459.8OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor120240360480600

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2K4K6K8K10KSE +/- 42.42, N = 3SE +/- 53.97, N = 3SE +/- 132.52, N = 15SE +/- 107.41, N = 15SE +/- 76.86, N = 4SE +/- 98.24, N = 46705.156885.0510753.0511200.139654.589659.621. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power100200300400500SE +/- 1.70, N = 3SE +/- 2.16, N = 3SE +/- 5.30, N = 15SE +/- 4.30, N = 15SE +/- 3.07, N = 4SE +/- 3.93, N = 4268.21275.40430.12448.01386.18386.391. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

miniBUDE

Implementation: OpenMP - Input Deck: BM2

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.35550.7111.06651.4221.77750.9480.9211.5801.5641.0871.100

miniBUDE

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.0282.8341.8EPYC 9655 - Power41.8298.9373.3EPYC 9655 2P44.2272.2357.3EPYC 9655 2P - Power44.2286.4378.8EPYC 975544.7355.4459.9EPYC 9755 - Power44.5351.1458.7OpenBenchmarking.orgWatts, Fewer Is BetterminiBUDE 20210901CPU Power Consumption Monitor120240360480600

NAMD

Input: ATPase with 327,506 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power714212835SE +/- 0.02, N = 7SE +/- 0.02, N = 7SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 7SE +/- 0.03, N = 712.4913.1327.1828.7614.2414.53

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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.04590.09180.13770.18360.22950.0700.0690.1940.2040.0660.065

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.1179.1318.0EPYC 9655 - Power41.9191.1348.1EPYC 9655 2P44.0139.9338.8EPYC 9655 2P - Power44.1140.8352.7EPYC 975544.8214.8414.4EPYC 9755 - Power44.4222.9445.4OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor120240360480600

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.00164, N = 3SE +/- 0.00449, N = 3SE +/- 0.01771, N = 3SE +/- 0.08274, N = 3SE +/- 0.00697, N = 3SE +/- 0.01359, N = 34.188914.357387.936618.150724.622774.57734

NAMD

Input: STMV with 1,066,628 Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01170.02340.03510.04680.05850.0180.0170.0510.0520.0160.016

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 965541.8235.2336.0EPYC 9655 - Power41.8254.5359.8EPYC 9655 2P43.8154.4351.6EPYC 9655 2P - Power44.1156.9375.7EPYC 975544.5284.4425.6EPYC 9755 - Power44.2290.0444.6OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 3.0b6CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power130K260K390K520K650KSE +/- 1611.44, N = 6SE +/- 1953.53, N = 6SE +/- 3426.11, N = 6SE +/- 6165.72, N = 6SE +/- 5529.34, N = 15SE +/- 4917.65, N = 15315803.13323478.52589945.23610380.70385558.53383678.731. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power70014002100280035001431.331287.443149.313031.251391.901335.30

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6220.6341.4EPYC 9655 - Power42.0251.3399.4EPYC 9655 2P44.2187.3355.9EPYC 9655 2P - Power44.4201.4399.7EPYC 975544.8277.0487.2EPYC 9755 - Power44.4287.3499.7OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power70K140K210K280K350KSE +/- 367.39, N = 5SE +/- 412.37, N = 5SE +/- 2950.53, N = 5SE +/- 1406.41, N = 6SE +/- 878.07, N = 5SE +/- 629.86, N = 5154462.83153956.62329784.54334250.97194853.91197015.001. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power400800120016002000619.92549.181690.671501.60644.42638.95

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3249.2352.0EPYC 9655 - Power41.3280.3399.6EPYC 9655 2P44.2195.1373.6EPYC 9655 2P - Power44.3222.6399.9EPYC 975544.8302.4488.2EPYC 9755 - Power44.5308.3496.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 41.67, N = 6SE +/- 64.97, N = 6SE +/- 91.78, N = 15SE +/- 116.48, N = 15SE +/- 55.66, N = 6SE +/- 80.37, N = 157042.537285.3613161.5213249.558647.628449.111. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2040608010036.7535.3078.1973.4540.0438.11

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4191.6344.5EPYC 9655 - Power42.1206.4392.9EPYC 9655 2P44.1168.3338.8EPYC 9655 2P - Power44.1180.4382.3EPYC 975544.5216.0421.2EPYC 9755 - Power44.4221.7441.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power50K100K150K200K250KSE +/- 1820.15, N = 15SE +/- 1911.09, N = 15SE +/- 3226.17, N = 15SE +/- 4683.24, N = 15SE +/- 1302.88, N = 15SE +/- 1273.22, N = 15144599.38144307.52237346.22245220.03167026.93165446.881. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power4008001200160020001272.731175.301822.651806.341197.561148.15

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.1113.6329.5EPYC 9655 - Power42.0122.8380.2EPYC 9655 2P44.1130.2317.6EPYC 9655 2P - Power44.0135.8355.9EPYC 975544.4139.5414.0EPYC 9755 - Power44.3144.1453.7OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20K40K60K80K100KSE +/- 750.66, N = 15SE +/- 526.39, N = 15SE +/- 1014.34, N = 15SE +/- 946.98, N = 15SE +/- 618.06, N = 15SE +/- 716.44, N = 1064867.5766383.29109363.45110940.1488208.3691585.721. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power160320480640800420.91388.54750.69710.80491.65507.34

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.0154.1349.3EPYC 9655 - Power42.0170.9399.6EPYC 9655 2P44.1145.7357.3EPYC 9655 2P - Power43.9156.1397.3EPYC 975544.3179.4483.4EPYC 9755 - Power44.2180.5499.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 0.88, N = 3SE +/- 0.97, N = 3SE +/- 2.66, N = 3SE +/- 1.07, N = 3SE +/- 1.03, N = 3SE +/- 0.85, N = 3870.03863.99871.91872.29795.83795.77

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power36912159.7399.8027.9827.9178.6038.643

Numpy Benchmark

CPU Power Consumption Monitor

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

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power300600900120015001334.11292.51299.41254.01326.21301.91. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

NWChem

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption MonitorEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 42.34 / Avg: 346.39 / Max: 369.48Min: 41.84 / Avg: 375.23 / Max: 399.59Min: 43.79 / Avg: 360.39 / Max: 378.4Min: 44.02 / Avg: 391.49 / Max: 399.98Min: 44.44 / Avg: 477.37 / Max: 499.23Min: 44.28 / Avg: 483.97 / Max: 499.76

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.16380.32760.49140.65520.819SE +/- 0.000691, N = 9SE +/- 0.000929, N = 9SE +/- 0.001018, N = 9SE +/- 0.000577, N = 9SE +/- 0.004859, N = 15SE +/- 0.000376, N = 90.7279280.6726700.6109390.5615430.5134170.486509MIN: 0.63MIN: 0.58MIN: 0.56MIN: 0.52MIN: 0.48MIN: 0.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5117.2217.9EPYC 9655 - Power42.1122.7234.3EPYC 9655 2P43.5118.2211.3EPYC 9655 2P - Power44.0124.3230.1EPYC 975544.9156.5315.2EPYC 9755 - Power44.7163.2327.3OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 3.4CPU Power Consumption Monitor80160240320400

ONNX Runtime

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

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1122334455SE +/- 0.07, N = 3SE +/- 0.60, N = 3SE +/- 0.49, N = 15SE +/- 0.11, N = 3SE +/- 0.48, N = 15SE +/- 0.41, N = 1549.8948.8125.6928.6144.2043.981. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

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

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power918273645SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.78, N = 15SE +/- 0.14, N = 3SE +/- 0.24, N = 15SE +/- 0.21, N = 1520.0420.4939.1434.9622.6622.771. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power61218243024.7022.9422.8021.5921.4422.861. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power61218243024.0722.2616.8216.1620.6020.281. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3304.0363.0EPYC 9655 - Power41.7331.4399.7EPYC 9655 2P44.0289.0370.3EPYC 9655 2P - Power43.8311.1399.7EPYC 975544.4396.4492.6EPYC 9755 - Power44.7402.6499.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor130260390520650

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power306090120150114.28113.82133.90114.99120.35120.261. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power4080120160200195.15192.7988.2986.21160.37160.701. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3331.2360.0EPYC 9655 - Power41.9365.5399.5EPYC 9655 2P44.7340.4378.5EPYC 9655 2P - Power44.4363.6400.0EPYC 975544.6450.2489.9EPYC 9755 - Power44.4464.4499.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor130260390520650

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 379.2075.3865.6163.0973.6772.32

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 965543.0322.6361.0EPYC 9655 - Power42.0356.6400.0EPYC 9655 2P44.6315.8368.4EPYC 9655 2P - Power44.3338.7399.9EPYC 975544.9423.7488.8EPYC 9755 - Power44.5433.8499.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor130260390520650

OpenRadioss

Model: Chrysler Neon 1M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.11, N = 3SE +/- 0.35, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.11, N = 3SE +/- 0.31, N = 391.0390.0749.7348.4377.2676.58

OpenRadioss

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7296.9363.4EPYC 9655 - Power42.4310.5399.7EPYC 9655 2P44.1258.6371.8EPYC 9655 2P - Power22.3274.9399.7EPYC 975544.9364.1489.3EPYC 9755 - Power44.9380.5500.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor130260390520650

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20K40K60K80K100KSE +/- 21.59, N = 3SE +/- 138.06, N = 3SE +/- 85.49, N = 3SE +/- 311.78, N = 3SE +/- 15.58, N = 3SE +/- 126.11, N = 350488.754719.2100988.8108838.969037.771625.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power900K1800K2700K3600K4500KSE +/- 365.28, N = 3SE +/- 1158.12, N = 3SE +/- 1533.00, N = 3SE +/- 3942.78, N = 3SE +/- 331.00, N = 3SE +/- 1824.02, N = 32029271.72136538.14049226.34229820.42755042.32788354.71. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15K6366.615988.2712199.1611251.396287.446052.60

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power60000M120000M180000M240000M300000MSE +/- 343661637.22, N = 3SE +/- 143659903.05, N = 3SE +/- 182816536.21, N = 3SE +/- 384856106.88, N = 3SE +/- 76407988.26, N = 3SE +/- 109659436.53, N = 31376255919071428903713302749726376002833553185231866603933131862249662231. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power200M400M600M800M1000M413951053.97386706631.41792326368.61745431096.10401864487.87395591946.00

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20000M40000M60000M80000M100000MSE +/- 85304308.49, N = 3SE +/- 84288798.91, N = 3SE +/- 334242164.38, N = 3SE +/- 41276678.86, N = 3SE +/- 163780192.60, N = 3SE +/- 46660762.78, N = 3539010144905667035817310720475905011222093631372359767240740773306271. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power70M140M210M280M350M166891800.58160210243.51311075032.43300082924.18161764658.87160962436.45

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3323.0337.2EPYC 9655 - Power42.1353.7370.0EPYC 9655 2P44.8344.6359.9EPYC 9655 2P - Power44.3374.0390.3EPYC 975545.0447.3471.8EPYC 9755 - Power44.6460.2481.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power700000M1400000M2100000M2800000M3500000MSE +/- 1295376232.10, N = 3SE +/- 1180292536.08, N = 3SE +/- 325870485.63, N = 3SE +/- 1171219798.83, N = 3SE +/- 679943093.73, N = 3SE +/- 2715663243.10, N = 31472835151827153038042717329495546933703038142851573200736535147019999390296731. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000M4714124877.734600647138.648845889467.798590267340.494699217928.954630384700.63

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6312.4329.1EPYC 9655 - Power42.2332.6348.8EPYC 9655 2P44.3333.4351.2EPYC 9655 2P - Power44.0353.7368.5EPYC 975544.7427.2447.2EPYC 9755 - Power44.9431.9451.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor120240360480600

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power600000M1200000M1800000M2400000M3000000MSE +/- 243566219.34, N = 3SE +/- 1492761099.56, N = 3SE +/- 3021247793.93, N = 3SE +/- 1439419832.95, N = 3SE +/- 2482404044.78, N = 3SE +/- 836488131.91, N = 31344599403087140439809711026829686866832796096165297183776585074718386985505201. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2000M4000M6000M8000M10000M4358545440.704217409857.518113891234.737877555574.354339501704.864242525981.40

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power400000M800000M1200000M1600000M2000000MSE +/- 211781187.22, N = 3SE +/- 218675473.81, N = 3SE +/- 200687972.98, N = 3SE +/- 610791897.39, N = 3SE +/- 507390352.95, N = 3SE +/- 339596989.72, N = 390540963421390817266628717961165447171798254631593118635929445011851553682771. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1100M2200M3300M4400M5500M2590512735.182480917067.734948590692.924738784471.832532659749.392526667355.76

OpenSSL

CPU Power Consumption Monitor

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

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power300000M600000M900000M1200000M1500000MSE +/- 139220101.42, N = 3SE +/- 245600409.78, N = 3SE +/- 567847363.95, N = 3SE +/- 840797691.41, N = 3SE +/- 89801965.81, N = 3SE +/- 403700022.50, N = 3615627362850618208266013122138670567312225333203378070098414278063550691871. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: ChaCha20-Poly1305

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power700M1400M2100M2800M3500M1790086074.831717528135.793416509479.963243864254.541746071268.121727334073.19

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3343.9362.0EPYC 9655 - Power42.1359.9392.3EPYC 9655 2P45.2357.5379.0EPYC 9655 2P - Power44.3376.9399.4EPYC 975544.7462.2499.0EPYC 9755 - Power44.5466.8500.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.3CPU Power Consumption Monitor130260390520650

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power70140210280350SE +/- 0.12, N = 3SE +/- 0.41, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.32, N = 3SE +/- 0.16, N = 3144.65166.34292.34318.19193.80218.201. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power70140210280350SE +/- 0.26, N = 3SE +/- 0.67, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3331.17288.00163.97150.68329.53292.74MIN: 259.06 / MAX: 360.41MIN: 260.94 / MAX: 324.73MIN: 149.81 / MAX: 234.24MIN: 135.35 / MAX: 177.18MIN: 165.13 / MAX: 354.63MIN: 133.4 / MAX: 322.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.9279.1302.3EPYC 9655 - Power42.1323.6353.3EPYC 9655 2P44.0283.2307.3EPYC 9655 2P - Power44.7311.1339.4EPYC 975545.1364.9401.2EPYC 9755 - Power44.5417.0460.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power50K100K150K200K250KSE +/- 658.72, N = 3SE +/- 370.35, N = 3SE +/- 2494.88, N = 4SE +/- 477.06, N = 3SE +/- 1255.01, N = 3SE +/- 729.29, N = 3173358.47185028.40210660.46212321.99190777.83199930.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.320.310.200.180.480.46MIN: 0.13 / MAX: 22.72MIN: 0.12 / MAX: 21.96MIN: 0.16 / MAX: 31.17MIN: 0.16 / MAX: 27.22MIN: 0.13 / MAX: 26.24MIN: 0.13 / MAX: 25.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8250.6268.5EPYC 9655 - Power42.4277.1309.3EPYC 9655 2P44.4243.1262.5EPYC 9655 2P - Power44.4288.7313.3EPYC 975545.0337.4363.6EPYC 9755 - Power45.3368.0400.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power30060090012001500SE +/- 0.53, N = 3SE +/- 2.13, N = 3SE +/- 3.94, N = 3SE +/- 9.29, N = 3SE +/- 4.77, N = 15SE +/- 6.66, N = 15686.91711.261470.131545.66733.80715.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.54, N = 15SE +/- 0.78, N = 1569.7267.3432.6331.0487.1489.40MIN: 33.74 / MAX: 128.03MIN: 32.37 / MAX: 130.06MIN: 27.36 / MAX: 67.99MIN: 26.15 / MAX: 65.39MIN: 35.35 / MAX: 200.15MIN: 30.69 / MAX: 206.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5321.8347.4EPYC 9655 - Power42.1338.2368.8EPYC 9655 2P44.4322.0352.9EPYC 9655 2P - Power44.4348.2380.9EPYC 975544.8386.6442.8EPYC 9755 - Power45.0395.7460.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power7K14K21K28K35KSE +/- 5.45, N = 3SE +/- 3.28, N = 3SE +/- 18.16, N = 3SE +/- 67.46, N = 3SE +/- 13.14, N = 3SE +/- 8.27, N = 313972.5715518.6529775.2133372.0618679.3620954.341. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 13.26, N = 3SE +/- 11.71, N = 3SE +/- 8.73, N = 3SE +/- 17.68, N = 3SE +/- 2.97, N = 3SE +/- 6.51, N = 38123.128699.1716407.9517500.3811232.2611890.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1.3142.6283.9425.2566.57SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.845.442.922.745.625.30MIN: 2.3 / MAX: 25.04MIN: 1.9 / MAX: 24.72MIN: 2.03 / MAX: 17.91MIN: 1.88 / MAX: 18.32MIN: 2.01 / MAX: 29.21MIN: 2.08 / MAX: 28.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5292.6314.7EPYC 9655 - Power42.1315.0337.3EPYC 9655 2P44.2290.6313.7EPYC 9655 2P - Power44.2317.6343.6EPYC 975544.8395.5423.5EPYC 9755 - Power44.7423.1455.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 18.33, N = 3SE +/- 11.21, N = 3SE +/- 31.28, N = 3SE +/- 5.69, N = 3SE +/- 8.58, N = 3SE +/- 19.66, N = 36173.616722.7011417.0212204.118730.889199.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.687.044.193.937.226.86MIN: 4.09 / MAX: 22.61MIN: 4.45 / MAX: 21.05MIN: 3.32 / MAX: 17.36MIN: 3.02 / MAX: 20.64MIN: 4.48 / MAX: 26.34MIN: 3.75 / MAX: 24.21. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5263.1285.0EPYC 9655 - Power42.2283.3306.0EPYC 9655 2P44.1259.6286.1EPYC 9655 2P - Power44.4279.0307.2EPYC 975545.2355.7388.8EPYC 9755 - Power44.8378.8415.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power30060090012001500SE +/- 3.01, N = 3SE +/- 1.89, N = 3SE +/- 1.75, N = 3SE +/- 4.43, N = 3SE +/- 2.99, N = 3SE +/- 2.19, N = 3840.05881.121491.951548.701109.751129.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 356.9854.3732.1330.9557.5756.58MIN: 27.41 / MAX: 98.07MIN: 27.11 / MAX: 90.92MIN: 23.03 / MAX: 169.79MIN: 24.71 / MAX: 244.03MIN: 34.99 / MAX: 106.02MIN: 26.76 / MAX: 102.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7326.6357.1EPYC 9655 - Power42.5345.4381.9EPYC 9655 2P44.2313.7347.0EPYC 9655 2P - Power44.2334.8374.4EPYC 975544.8437.1487.9EPYC 9755 - Power45.5452.5500.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor130260390520650

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power12K24K36K48K60KSE +/- 6.01, N = 3SE +/- 33.00, N = 3SE +/- 128.37, N = 3SE +/- 227.08, N = 3SE +/- 0.83, N = 3SE +/- 19.02, N = 323288.2625130.8549343.5655029.5331655.5734304.091. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power16003200480064008000SE +/- 4.42, N = 3SE +/- 4.08, N = 3SE +/- 12.20, N = 3SE +/- 3.46, N = 3SE +/- 5.09, N = 3SE +/- 3.19, N = 33506.593680.246976.197387.044774.334802.281. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power11002200330044005500SE +/- 0.98, N = 3SE +/- 4.89, N = 3SE +/- 3.52, N = 3SE +/- 12.07, N = 3SE +/- 2.87, N = 3SE +/- 3.67, N = 32393.862550.684918.445259.253287.433403.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 319.9518.699.759.1219.3618.68MIN: 10.11 / MAX: 40.96MIN: 9.95 / MAX: 40.46MIN: 7.8 / MAX: 32.13MIN: 6.93 / MAX: 31.05MIN: 9.99 / MAX: 44.41MIN: 9.73 / MAX: 45.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.8273.1294.1EPYC 9655 - Power42.5293.6317.8EPYC 9655 2P44.1286.5310.2EPYC 9655 2P - Power44.3314.4338.6EPYC 975544.8372.2403.5EPYC 9755 - Power45.1395.4429.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor110220330440550

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power4K8K12K16K20KSE +/- 1.05, N = 3SE +/- 8.52, N = 3SE +/- 14.09, N = 3SE +/- 7.55, N = 3SE +/- 14.83, N = 3SE +/- 12.50, N = 310064.7510744.4818938.6520214.9713949.8914033.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1.05082.10163.15244.20325.254SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.674.372.532.374.484.45MIN: 2.58 / MAX: 20.15MIN: 2.16 / MAX: 18.61MIN: 1.73 / MAX: 16.68MIN: 1.7 / MAX: 15.93MIN: 1.99 / MAX: 22.31MIN: 1.92 / MAX: 23.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5300.9324.3EPYC 9655 - Power42.4322.4347.2EPYC 9655 2P43.7304.9329.1EPYC 9655 2P - Power44.1336.0362.8EPYC 975545.1412.9447.7EPYC 9755 - Power44.7417.8455.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2024.0CPU Power Consumption Monitor120240360480600

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 10.75, N = 3SE +/- 5.58, N = 3SE +/- 91.27, N = 3SE +/- 101.98, N = 3SE +/- 33.49, N = 3SE +/- 10.73, N = 38266.348640.5411384.8811848.7210557.1610716.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power10002000300040005000SE +/- 0.88, N = 3SE +/- 1.20, N = 3SE +/- 0.58, N = 3SE +/- 4.36, N = 3SE +/- 0.88, N = 3SE +/- 1.86, N = 3281429764634484736543741MIN: 215 / MAX: 36394MIN: 233 / MAX: 37345MIN: 417 / MAX: 52082MIN: 445 / MAX: 53647MIN: 293 / MAX: 42376MIN: 305 / MAX: 43215

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power481216209.3418.73414.99713.9789.1568.868

OpenVKL

CPU Power Consumption Monitor

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 341.2543.9477.5381.5555.1856.52

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.05380.10760.16140.21520.2690.1340.1280.2390.2280.1300.127

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7307.6338.1EPYC 9655 - Power42.1343.7379.2EPYC 9655 2P44.3325.0364.5EPYC 9655 2P - Power44.5357.9400.7EPYC 975544.7425.8477.0EPYC 9755 - Power44.7445.3499.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor130260390520650

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 342.1344.4674.2077.3254.3955.28

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.05150.1030.15450.2060.25750.1350.1270.2290.2170.1270.124

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6311.6323.3EPYC 9655 - Power42.2351.4365.7EPYC 9655 2P44.5323.7340.1EPYC 9655 2P - Power44.5357.0374.4EPYC 975545.0429.8449.3EPYC 9755 - Power44.9445.3466.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor120240360480600

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 342.2043.8574.5077.4754.4055.48

OSPRay

Benchmark: particle_volume/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.0560.1120.1680.2240.280.1510.1370.2490.2350.1440.143

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6279.1323.8EPYC 9655 - Power42.1320.2371.2EPYC 9655 2P45.0299.7339.8EPYC 9655 2P - Power44.8329.1374.5EPYC 975544.8376.8448.6EPYC 9755 - Power44.8386.8466.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 3.1CPU Power Consumption Monitor120240360480600

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3869809451426639621

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7279.6339.9EPYC 9655 - Power42.1311.4383.4EPYC 9655 2P44.3299.4365.0EPYC 9655 2P - Power44.4330.6400.6EPYC 975544.8371.8463.5EPYC 9755 - Power44.5391.3485.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor130260390520650

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 19.97, N = 3SE +/- 20.87, N = 3SE +/- 10.60, N = 3SE +/- 8.19, N = 3SE +/- 3.71, N = 3SE +/- 5.49, N = 3138341287571496731101549878

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7299.1339.3EPYC 9655 - Power42.1316.7385.0EPYC 9655 2P45.0318.2364.2EPYC 9655 2P - Power44.5343.4401.2EPYC 975544.7358.2462.2EPYC 9755 - Power44.6419.2488.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor130260390520650

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power7K14K21K28K35KSE +/- 52.17, N = 3SE +/- 33.02, N = 3SE +/- 16.68, N = 3SE +/- 23.46, N = 3SE +/- 39.68, N = 3SE +/- 10.68, N = 3309662580914290134592037919757

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5248.9338.6EPYC 9655 - Power42.3334.6384.7EPYC 9655 2P44.4321.6364.2EPYC 9655 2P - Power44.8349.9400.8EPYC 975544.9385.4463.9EPYC 9755 - Power44.5401.6488.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor130260390520650

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 31025955532506753732

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5282.1344.1EPYC 9655 - Power42.3315.1387.0EPYC 9655 2P44.6302.4366.1EPYC 9655 2P - Power44.3329.9401.1EPYC 975544.8373.6459.9EPYC 9755 - Power44.4392.5485.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor130260390520650

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3K6K9K12K15KSE +/- 14.29, N = 3SE +/- 15.94, N = 3SE +/- 11.68, N = 3SE +/- 6.66, N = 3SE +/- 14.19, N = 3SE +/- 3.61, N = 31629515188844880211198211666

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6281.5342.6EPYC 9655 - Power42.1314.0390.6EPYC 9655 2P44.8314.3366.2EPYC 9655 2P - Power44.5322.4401.2EPYC 975544.7371.8469.9EPYC 9755 - Power44.5387.0483.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power8K16K24K32K40KSE +/- 11.68, N = 3SE +/- 49.64, N = 3SE +/- 31.56, N = 3SE +/- 37.47, N = 3SE +/- 32.92, N = 3SE +/- 33.06, N = 3358883365216987159812398123412

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7263.3342.2EPYC 9655 - Power42.1289.0388.6EPYC 9655 2P44.5303.6365.5EPYC 9655 2P - Power44.8330.9401.2EPYC 975544.7395.1468.2EPYC 9755 - Power45.0414.0485.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 1.0CPU Power Consumption Monitor120240360480600

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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.25450.5090.76351.0181.2725SE +/- 0.014837, N = 15SE +/- 0.010945, N = 15SE +/- 0.011000, N = 15SE +/- 0.010304, N = 15SE +/- 0.010948, N = 15SE +/- 0.010896, N = 151.1313251.0708830.8920090.8827920.9348960.9126771. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Parallel BZIP2 Compression

CPU Power Consumption Monitor

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

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.70571.41142.11712.82283.5285SE +/- 0.087065, N = 15SE +/- 0.064100, N = 15SE +/- 0.032998, N = 15SE +/- 0.022392, N = 15SE +/- 0.045208, N = 15SE +/- 0.059060, N = 153.1365172.7677681.8693501.8002692.7612602.7064621. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5171.4339.9EPYC 9655 - Power42.0171.1370.8EPYC 9655 2P44.1170.6358.9EPYC 9655 2P - Power44.2173.1389.3EPYC 975544.6210.5475.6EPYC 9755 - Power44.5210.5481.8OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor120240360480600

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1.23272.46543.69814.93086.1635SE +/- 0.054129, N = 15SE +/- 0.045321, N = 15SE +/- 0.042880, N = 15SE +/- 0.036612, N = 15SE +/- 0.073388, N = 15SE +/- 0.054249, N = 155.4787085.2107193.0217632.8572914.3936064.1082031. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5209.0339.7EPYC 9655 - Power42.2219.6373.2EPYC 9655 2P44.0184.9359.5EPYC 9655 2P - Power44.2199.0391.0EPYC 975544.5248.9471.5EPYC 9755 - Power44.4243.8486.1OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor130260390520650

Primesieve

Length: 1e12

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.45950.9191.37851.8382.2975SE +/- 0.004, N = 11SE +/- 0.003, N = 11SE +/- 0.004, N = 12SE +/- 0.002, N = 13SE +/- 0.004, N = 12SE +/- 0.003, N = 122.0421.8341.1961.1091.5531.4591. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

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

Primesieve

Length: 1e13

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 4SE +/- 0.01, N = 5SE +/- 0.02, N = 3SE +/- 0.02, N = 324.2221.8112.4811.2517.9716.751. (CXX) g++ options: -O3

Primesieve

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2267.8344.1EPYC 9655 - Power42.1296.4377.3EPYC 9655 2P43.4254.7343.9EPYC 9655 2P - Power44.2280.3380.9EPYC 975544.6342.5459.6EPYC 9755 - Power44.6369.6498.2OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 12.1CPU Power Consumption Monitor130260390520650

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1122334455SE +/- 0.28, N = 3SE +/- 0.38, N = 3SE +/- 0.24, N = 7SE +/- 0.17, N = 3SE +/- 0.29, N = 3SE +/- 0.49, N = 346.7148.8426.3226.5443.6143.25MIN: 44.4 / MAX: 48.11MIN: 46.8 / MAX: 50.35MIN: 17.67 / MAX: 29.73MIN: 24.56 / MAX: 27.7MIN: 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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.04210.08420.12630.16840.21050.1870.1760.0960.0840.1550.154

PyTorch

CPU Power Consumption Monitor

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

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power510152025SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 12SE +/- 0.17, N = 12SE +/- 0.19, N = 4SE +/- 0.18, N = 319.2219.7411.5711.6217.4217.45MIN: 18.55 / MAX: 19.77MIN: 18.97 / MAX: 20.57MIN: 5.56 / MAX: 12.98MIN: 4.7 / MAX: 13.82MIN: 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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01620.03240.04860.06480.0810.0720.0660.0410.0360.0580.058

PyTorch

CPU Power Consumption Monitor

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

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1122334455SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.40, N = 15SE +/- 0.32, N = 15SE +/- 0.13, N = 3SE +/- 0.47, N = 446.5248.5226.9827.3843.8343.77MIN: 44.09 / MAX: 47.73MIN: 46.49 / MAX: 49.53MIN: 18.25 / MAX: 31.34MIN: 17.08 / MAX: 31.28MIN: 41.6 / MAX: 45.11MIN: 41.1 / MAX: 45.21

PyTorch

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

OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.04190.08380.12570.16760.20950.1860.1740.0980.0880.1560.156

PyTorch

CPU Power Consumption Monitor

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

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power150K300K450K600K750KSE +/- 414.37, N = 3SE +/- 316.52, N = 3SE +/- 310.97, N = 3SE +/- 723.87, N = 3SE +/- 401.79, N = 3SE +/- 359.42, N = 3341991.7353852.5690813.6710294.6465436.8463866.61. (CXX) g++ options: -O3 -march=native -fPIE -pie

QuantLib

Configuration: Multi-Threaded

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power50010001500200025001136.471116.732158.992113.911146.371137.92

QuantLib

CPU Power Consumption Monitor

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

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power300M600M900M1200M1500MSE +/- 4322874.61, N = 3SE +/- 463544.96, N = 3SE +/- 3941921.08, N = 3SE +/- 3806633.26, N = 3SE +/- 5260460.78, N = 3SE +/- 646946.28, N = 3577215374607350295115505897912014205217868965807944000751. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power800K1600K2400K3200K4000K1918650.381878922.223561086.453514357.171894471.541905830.82

RocksDB

CPU Power Consumption Monitor

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

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power100K200K300K400K500KSE +/- 5047.30, N = 3SE +/- 206.31, N = 3SE +/- 3644.76, N = 3SE +/- 4246.49, N = 3SE +/- 809.78, N = 3SE +/- 1638.17, N = 34397154459084401264421064054544060361. (CC) gcc options: -pedantic -O3

SecureMark

Benchmark: SecureMark-TLS

OpenBenchmarking.orgmarks Per Watt, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power110022003300440055004993.065124.054042.384042.454437.204428.71

SecureMark

CPU Power Consumption Monitor

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

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power300M600M900M1200M1500MSE +/- 696066.18, N = 3SE +/- 707531.18, N = 3SE +/- 1997067.74, N = 3SE +/- 1881332.70, N = 3SE +/- 707549.54, N = 3SE +/- 300359.50, N = 3607769650627633121119987191812413539568221028288219259991. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Speedb

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterSpeedb 2.7Test: Random ReadEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power800K1600K2400K3200K4000K1998985.071950554.663681905.183636125.581969975.351967243.95

Speedb

CPU Power Consumption Monitor

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

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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power6K12K18K24K30KSE +/- 146.49, N = 3SE +/- 106.26, N = 3SE +/- 199.26, N = 12SE +/- 204.92, N = 15SE +/- 214.06, N = 3SE +/- 134.59, N = 323913.025992.515913.217008.119454.120634.21. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2040608010097.4196.1150.6346.8852.3353.31

srsRAN Project

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2245.5298.2EPYC 9655 - Power41.8270.5338.5EPYC 9655 2P44.3314.3343.6EPYC 9655 2P - Power44.8362.8395.0EPYC 975544.5371.7421.8EPYC 9755 - Power44.3387.1435.8OpenBenchmarking.orgWatts, Fewer Is BettersrsRAN Project 23.10.1-20240325CPU Power Consumption Monitor110220330440550

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Thread

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput ThreadEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power2004006008001000SE +/- 2.24, N = 10SE +/- 1.75, N = 10SE +/- 7.37, N = 10SE +/- 2.83, N = 10SE +/- 2.19, N = 9SE +/- 1.37, N = 91076.51071.41056.91066.8994.01002.61. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Thread

OpenBenchmarking.orgMbps Per Watt, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput ThreadEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power4812162017.1717.2414.3714.4014.8915.15

srsRAN Project

CPU Power Consumption Monitor

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

Stockfish

Chess Benchmark

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power90M180M270M360M450MSE +/- 3587851.54, N = 15SE +/- 4142878.23, N = 12SE +/- 4310907.78, N = 3SE +/- 4378797.88, N = 3SE +/- 4338134.07, N = 15SE +/- 4084095.42, N = 152191895432352408594268398814412177673073439233154303161. (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 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power300K600K900K1200K1500K668223.51654520.001237372.891185206.63697627.07689321.78

Stockfish

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power60120180240300SE +/- 6.06, N = 15SE +/- 7.29, N = 15SE +/- 6.77, N = 15SE +/- 7.49, N = 15SE +/- 7.58, N = 15SE +/- 7.89, N = 15249.29265.77250.39266.96271.92275.541. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.561.121.682.242.82.4892.4662.2282.2372.3532.350

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power60120180240300SE +/- 1.90, N = 9SE +/- 2.25, N = 9SE +/- 1.78, N = 15SE +/- 2.21, N = 15SE +/- 2.17, N = 9SE +/- 2.09, N = 9258.61273.18253.99274.24281.59279.701. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.5781.1561.7342.3122.892.5462.5692.2932.2952.4212.415

SVT-AV1

CPU Power Consumption Monitor

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.62, N = 6SE +/- 0.89, N = 6SE +/- 1.00, N = 6SE +/- 0.77, N = 15SE +/- 1.10, N = 7SE +/- 0.88, N = 11107.42112.52109.18113.92118.16121.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.18810.37620.56430.75240.94050.8360.8290.7510.7370.7780.772

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.2128.6218.3EPYC 9655 - Power41.7135.7257.6EPYC 9655 2P44.0145.4236.4EPYC 9655 2P - Power43.7154.6296.3EPYC 975544.5151.9282.0EPYC 9755 - Power44.4158.0307.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption Monitor80160240320400

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.10, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 411.2911.6811.1911.4111.2811.271. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01620.03240.04860.06480.0810.0720.0700.0650.0630.0690.069

SVT-AV1

CPU Power Consumption Monitor

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

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 1.14, N = 3SE +/- 0.42, N = 3SE +/- 1.84, N = 3SE +/- 0.71, N = 3SE +/- 0.65, N = 3SE +/- 0.87, N = 3210.14215.32184.47190.34203.33203.72

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

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3245.8264.3EPYC 9655 - Power42.1257.3275.7EPYC 9655 2P44.2240.2278.1EPYC 9655 2P - Power44.6269.5296.3EPYC 975544.8308.7332.3EPYC 9755 - Power44.6322.7349.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power5001000150020002500SE +/- 9.05, N = 4SE +/- 11.52, N = 4SE +/- 16.25, N = 4SE +/- 19.23, N = 4SE +/- 2.78, N = 4SE +/- 2.50, N = 41897.882028.181989.892066.992271.952323.46

TensorFlow

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

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power36912159.5679.75511.18911.1439.5589.516

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6198.4255.2EPYC 9655 - Power42.3207.9271.4EPYC 9655 2P43.9177.8228.7EPYC 9655 2P - Power44.2185.5241.6EPYC 975544.8237.7322.8EPYC 9755 - Power44.7244.2339.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor80160240320400

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power150300450600750SE +/- 2.91, N = 3SE +/- 1.63, N = 3SE +/- 0.83, N = 3SE +/- 5.52, N = 3SE +/- 7.40, N = 3SE +/- 8.09, N = 3671.97693.23511.28514.70659.11662.67

TensorFlow

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

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.63341.26681.90022.53363.1672.8152.7472.1561.9432.2432.152

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7238.7271.7EPYC 9655 - Power42.2252.3286.9EPYC 9655 2P44.8237.2264.1EPYC 9655 2P - Power43.9264.9300.5EPYC 975545.0293.8338.6EPYC 9755 - Power44.8308.0353.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power50100150200250SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 2.10, N = 3SE +/- 0.50, N = 3SE +/- 0.52, N = 3SE +/- 0.33, N = 3240.07246.03238.49238.82246.24246.59

TensorFlow

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

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.21490.42980.64470.85961.07450.9170.8920.9550.8880.7300.698

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4261.7287.5EPYC 9655 - Power42.0275.8302.0EPYC 9655 2P44.3249.9272.9EPYC 9655 2P - Power44.8269.1302.2EPYC 975545.1337.2361.7EPYC 9755 - Power44.6353.3380.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power6001200180024003000SE +/- 1.95, N = 3SE +/- 4.41, N = 3SE +/- 28.42, N = 4SE +/- 37.18, N = 3SE +/- 2.64, N = 3SE +/- 15.82, N = 32083.422221.852616.592690.502665.922780.14

TensorFlow

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

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power36912159.3649.49113.01312.8119.5979.623

TensorFlow

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4222.5265.8EPYC 9655 - Power42.2234.1281.1EPYC 9655 2P43.8201.1242.6EPYC 9655 2P - Power44.0210.0256.7EPYC 975544.7277.8340.8EPYC 9755 - Power44.6288.9364.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.16.1CPU Power Consumption Monitor100200300400500

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 7.0Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 414.0913.7812.1412.1313.9813.91

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.7163.1363.5EPYC 9655 - Power41.9172.4397.7EPYC 9655 2P43.4146.4368.8EPYC 9655 2P - Power43.6156.5399.6EPYC 975544.7172.5483.8EPYC 9755 - Power44.4177.1499.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 7.0CPU Power Consumption Monitor130260390520650

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 1.17, N = 3SE +/- 1.57, N = 3SE +/- 0.25, N = 3SE +/- 0.58, N = 3SE +/- 1.52, N = 3SE +/- 0.32, N = 3126.33125.35112.43112.96128.13129.01

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.1176.5363.1EPYC 9655 - Power41.7185.9400.8EPYC 9655 2P43.7161.2365.0EPYC 9655 2P - Power43.6175.0400.8EPYC 975544.4195.4485.4EPYC 9755 - Power44.4199.7502.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 23.0.1CPU Power Consumption Monitor130260390520650

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.74, N = 3SE +/- 0.82, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 384.1382.5476.4376.1183.2982.93

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.0202.8359.9EPYC 9655 - Power42.0214.7400.4EPYC 9655 2P43.8178.0368.1EPYC 9655 2P - Power43.5189.8400.8EPYC 975544.5220.4490.6EPYC 9755 - Power44.4223.4501.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption Monitor130260390520650

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power3691215SE +/- 0.030, N = 5SE +/- 0.036, N = 5SE +/- 0.018, N = 5SE +/- 0.051, N = 5SE +/- 0.013, N = 5SE +/- 0.035, N = 59.5279.4339.0459.0779.8689.868

Timed ImageMagick Compilation

CPU Power Consumption Monitor

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

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power612182430SE +/- 0.20, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 13SE +/- 0.11, N = 14SE +/- 0.13, N = 3SE +/- 0.20, N = 322.7122.2918.0117.8423.3423.34

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 965541.9176.0356.2EPYC 9655 - Power41.7186.6399.7EPYC 9655 2P43.0155.8366.9EPYC 9655 2P - Power43.4168.5401.2EPYC 975544.2204.9467.5EPYC 9755 - Power44.2217.9500.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor130260390520650

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power4080120160200SE +/- 0.40, N = 3SE +/- 0.42, N = 3SE +/- 0.66, N = 3SE +/- 0.83, N = 3SE +/- 0.88, N = 3SE +/- 1.23, N = 3194.47187.32117.47115.27201.76199.61

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 965541.8306.1360.3EPYC 9655 - Power42.3339.4401.2EPYC 9655 2P43.9274.4370.2EPYC 9655 2P - Power43.3300.7401.4EPYC 975544.4383.8473.4EPYC 9755 - Power44.6407.3504.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor130260390520650

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power20406080100SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 397.5894.8167.2066.4688.8987.66

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 965541.9263.6364.7EPYC 9655 - Power41.9283.1401.2EPYC 9655 2P43.7223.8370.1EPYC 9655 2P - Power43.5235.5402.0EPYC 975544.4300.1488.2EPYC 9755 - Power44.6313.7501.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor130260390520650

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power48121620SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.07, N = 4SE +/- 0.06, N = 412.7912.7012.2912.3513.6713.64

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.0138.7351.8EPYC 9655 - Power41.8144.0397.4EPYC 9655 2P43.3132.5362.3EPYC 9655 2P - Power43.2131.4399.0EPYC 975544.4145.0477.1EPYC 9755 - Power44.4146.8500.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 24.0CPU Power Consumption Monitor130260390520650

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To CompileEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power306090120150SE +/- 0.12, N = 3SE +/- 0.28, N = 3SE +/- 0.33, N = 3SE +/- 1.18, N = 3SE +/- 0.21, N = 3SE +/- 0.66, N = 3118.70114.8084.4986.97109.56108.75

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.1265.8361.5EPYC 9655 - Power21.9293.0401.3EPYC 9655 2P44.0231.6365.7EPYC 9655 2P - Power43.1272.3401.2EPYC 975544.5304.2485.2EPYC 9755 - Power44.5314.7501.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 21.7.2CPU Power Consumption Monitor130260390520650

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1224364860SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 4SE +/- 0.17, N = 5SE +/- 0.09, N = 4SE +/- 0.03, N = 431.9034.1351.6853.8139.1440.90

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: SlowEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.04860.09720.14580.19440.2430.1320.1230.2160.1960.1230.116

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4240.8292.9EPYC 9655 - Power41.9276.5339.3EPYC 9655 2P44.1239.7340.3EPYC 9655 2P - Power44.4274.3374.2EPYC 975545.3318.4408.0EPYC 9755 - Power44.5351.5455.7OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor120240360480600

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power1326395265SE +/- 0.05, N = 3SE +/- 0.04, N = 4SE +/- 0.26, N = 5SE +/- 0.35, N = 5SE +/- 0.04, N = 4SE +/- 0.04, N = 435.9538.4054.2456.2543.8545.85

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.05130.10260.15390.20520.25650.1520.1430.2280.2070.1400.132

uvg266

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.5236.0292.8EPYC 9655 - Power42.2269.3341.0EPYC 9655 2P44.4238.3336.8EPYC 9655 2P - Power44.2271.6368.9EPYC 975544.6313.9407.2EPYC 9755 - Power44.6347.2454.6OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor120240360480600

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

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

VVenC

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.4184.6269.0EPYC 9655 - Power41.9206.8321.2EPYC 975544.5212.7338.9EPYC 9755 - Power44.3218.4348.9OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.11CPU Power Consumption Monitor100200300400500

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

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

VVenC

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.3203.5276.7EPYC 9655 - Power41.9234.6320.4EPYC 975544.6239.4329.0EPYC 9755 - Power44.5243.6332.0OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.11CPU Power Consumption Monitor80160240320400

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.9631.9262.8893.8524.815SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 74.274.264.284.273.903.891. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.01370.02740.04110.05480.06850.0610.0610.0510.0510.0520.052

WebP Image Encode

CPU Power Consumption Monitor

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

WRF

Input: conus 2.5km

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power130026003900520065006147.336043.213241.003244.375574.365545.681. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

WRF

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power90180270360450Min: 41.97 / Avg: 340.67 / Max: 360.85Min: 41.87 / Avg: 386.4 / Max: 400.07Min: 43.94 / Avg: 352.06 / Max: 367.99Min: 45.25 / Avg: 393.61 / Max: 400.44Min: 44.4 / Avg: 440.28 / Max: 480.05Min: 45.44 / Avg: 452.12 / Max: 499.62

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power816243240SE +/- 0.08, N = 3SE +/- 0.25, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 335.7036.0135.4535.6434.2134.361. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.6Video Input: Bosphorus 4KEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power0.04730.09460.14190.18920.23650.2060.2030.2100.2080.2020.206

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6173.7223.6EPYC 9655 - Power41.7177.1234.7EPYC 9655 2P43.7168.5218.1EPYC 9655 2P - Power43.9171.7223.2EPYC 975544.6169.0217.8EPYC 9755 - Power44.8167.0217.5OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.6CPU Power Consumption Monitor60120180240300

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.03188987, N = 5SE +/- 0.07400503, N = 5SE +/- 0.00772957, N = 6SE +/- 0.01525858, N = 6SE +/- 0.01274608, N = 6SE +/- 0.01593429, N = 67.095553407.174051763.488674843.445721196.478045386.457183441. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxEPYC 965542.6217.1341.8EPYC 9655 - Power42.2242.8378.0EPYC 9655 2P44.7190.6354.3EPYC 9655 2P - Power45.2210.2399.6EPYC 975544.7273.8467.0EPYC 9755 - Power44.4292.4495.0OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor130260390520650

Y-Cruncher

Pi Digits To Calculate: 1B

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 9655EPYC 9655 - PowerEPYC 9655 2PEPYC 9655 2P - PowerEPYC 9755EPYC 9755 - Power246810SE +/- 0.010, N = 5SE +/- 0.011, N = 6SE +/- 0.019, N = 5SE +/- 0.043, N = 5SE +/- 0.015, N = 5SE +/- 0.020, N = 56.5896.4308.3958.3298.1738.068

Y-Cruncher

CPU Power Consumption Monitor

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

Phoronix Test Suite v10.8.5