AMD EPYC Milan-X Ubuntu 22.10 Benchmarks

AMD EPYC 7763 vs. EPYC 7773X 1P/2P Linux processor benchmarks by Michael Larabel for a future article. Fresh Milan-X benchmarks on Linux 6.0 and GCC 12.2 on Ubuntu 22.10 snapshot.

HTML result view exported from: https://openbenchmarking.org/result/2209255-NE-AMDMILANX04.

AMD EPYC Milan-X Ubuntu 22.10 BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2PAMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse256GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 22.106.0.0-060000rc3daily20220904-generic (x86_64)GNOME ShellX Server 1.21.1.31.3.211GCC 12.2.0ext41920x10802 x AMD EPYC 7763 64-Core @ 2.45GHz (128 Cores / 256 Threads)512GBAMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads)256GB2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads)512GBOpenBenchmarking.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-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-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/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- EPYC 7763: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173- EPYC 7763 2P: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173- EPYC 7773X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229- EPYC 7773X 2P: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229Java Details- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu1)Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC Milan-X Ubuntu 22.10 Benchmarksgpaw: Carbon Nanotubegromacs: MPI CPU - water_GMX50_barenamd: ATPase Simulation - 327,506 Atomshpcg: wrf: conus 2.5kmrelion: Basic - CPUamg: incompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dlulesh: pennant: leblancbigpennant: sedovbigmt-dgemm: Sustained Floating-Point Ratenwchem: C240 Buckyballnpb: BT.Cnpb: FT.Cnpb: LU.Cnpb: SP.Bnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Crodinia: OpenMP LavaMDpyhpc: CPU - Numpy - 4194304 - Equation of Statepyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - 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 - CPUonnx: fcn-resnet101-11 - CPU - Standardaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddinglczero: Eigenonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUbuild-ffmpeg: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-imagemagick: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-mesa: Time To Compilebuild-mplayer: Time To Compilebuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-python: Released Build, PGO + LTO Optimizedbuild-wasmer: Time To Compilebuild2: Time To Compilecompress-7zip: Decompression Ratingcompress-zstd: 19 - Compression Speedcompress-zstd: 19, Long Mode - Compression Speedblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyappleseed: Disney Materialpovray: Trace Timeembree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerluxcorerender: DLSC - CPUluxcorerender: Orange Juice - CPUaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kkvazaar: Bosphorus 4K - Very Fastsvt-hevc: 1 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 4Kx265: Bosphorus 4Kjpegxl: JPEG - 8jpegxl: PNG - 8avifenc: 2avifenc: 6, Losslessavifenc: 10, Losslessgraphics-magick: Enhancedgraphics-magick: Sharpenastcenc: Mediumastcenc: Thoroughastcenc: Exhaustiveetcpak: Multi-Threaded - ETC2pgbench: 1000 - 500 - Read Writepgbench: 1000 - 500 - Read Write - Average Latencypgbench: 1000 - 500 - Read Onlypgbench: 1000 - 500 - Read Only - Average Latencyebizzy: cassandra: Writesclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, Third Runspark: 20000000 - 100 - Calculate Pi Benchmarkspark: 20000000 - 500 - SHA-512 Benchmark Timespark: 20000000 - 500 - Calculate Pi Benchmarkspark: 20000000 - 1000 - Calculate Pi Benchmarkspark: 20000000 - 2000 - Calculate Pi Benchmarkbrl-cad: VGR Performance Metricnumpy: liquid-dsp: 64 - 256 - 57pjsip: OPTIONS, Statefulpjsip: INVITEngspice: C7552octave-benchmark: blake2: openssl: RSA4096openssl: RSA4096openssl: SHA256sysbench: CPUm-queens: Time To Solvecoremark: CoreMark Size 666 - Iterations Per Secondasmfish: 1024 Hash Memory, 26 Depthaircrack-ng: webp: Defaultwebp: Quality 100webp: Quality 100, Highest Compressionwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7openfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P69.8945.7720.3822619.121516544.816566.37710144450005.1799667721.8095589603.53564519943.0855.81280810.16093023.4824502203.9133198.1660945.14144112.8688708.7551889.312695.0057200.1624379.6742.2441.0232.1459.743238.6633814.3855150.327.594151.957.584147.581126.9028.381060.6330.141637.9619.51131.27243.2617122333.223153.238980.8635931.577663.721800.7185372939.893013.732978.2718.234167.054244.613188.63145.39814.69132.611267.49926.86512.594186.25049.120298.36652.90065.55838520585.046.426.9668.1734.5185.51264.8756.0894949.69571.148463.186966.087858.16979.050408.6023613.868217.79302171350297620021953537277108258241538892309.4713.9159.7861.3445.9139.0811.19237.2626.9328.930.9939.9657.4835.5831036582262.031833.88843.61896689.606596678.38012278770.4072345395251988372.65385.08389.4032.2013.4531.9331.7732.19744533466.89281040000088914703107.7987.4634.4513287.5867678.474358249567252773.2412.3041876249.144907159120297174850.50516.1510.223.310.480.2434.49390348.352201161.85459627.9694942.51110.0720.2241837.31858372.93293.34219298916673.1314751111.0087018297.43494738255.5073.4843255.50031738.9057881999.1252416.39118231.73287345.28136460.44114669.274729.6398920.0346814.8223.9501.0462.15516.011982.5264899.71106094.9814.392191.2314.382191.712136.9314.882173.4914.702914.3210.96254.03125.8021044039.544983.245980.6279690.7965954.894781.145777393.337565.547505.0514.475112.582210.123161.43543.07413.38724.673160.01524.95310.097135.21048.556298.90153.11360.85571932380.139.914.2735.0618.4944.08142.2647.6280077.29873.6071111.943268.2643101.568716.409515.658525.948232.752411371831936625115818614372321350217184341513.7621.7647.6547.9436.9056.9817.74195.0820.3527.210.9641.1757.4245.7991446858450.109366.27797.23926678.3971244840.9776989830.7163061051197128392.36420.41419.0715.9920.2916.0415.9216.072962593455.68318700000085824301109.7077.8754.3426521.81728763.7148797141130503926.606.4433706923.161931291595066160706.62016.1710.213.310.640.3531.55773635.335965154.21301277.1275959.8547.1650.3763619.711815435.544276.58910570506674.3822586216.8753561573.31376222729.5945.4197129.51878129.4608432053.3166563.2164733.33255823.48135254.1289188.952838.0460128.5240140.3643.7790.9122.04810.363059.0835966.8057873.687.973956.748.023931.311195.3926.751204.4926.551876.1217.04140.19227.7717532294.834048.452860.8363590.9338181.247100.6096892442.042415.072401.5617.743159.222232.081178.79442.81412.97031.919263.28926.37512.204177.62846.290292.4249.68063.126412150103.659.327.5370.5734.9787.40266.6455.8544749.66780.645968.859772.230463.47399.147108.6550313.811417.81342125341697455021403442474833251740556869309.4513.4366.0167.4349.5341.7511.13246.6628.0228.61139.8257.2365.5571039595264.501734.10553.62716989.997659567.58212762470.3912585316274679417.89433.68442.3631.3712.6430.9431.4430.28777564492.432844933333108445666100.9246.5103.9113762.3902005.374013930600265046.1411.2811987443.329446156507344177255.70816.2310.293.330.520.2628.938640.05178126.71018365.7619638.20311.2160.2236638.23977410.731147.36319988973332.246857129.50778993265.93809043886.0003.3005785.12452951.0469131866.5369239.47127733.49392397.67163786.88230050.335165.19123247.0851069.4525.1930.8982.02617.411821.2168270.41108150.7515.262067.0215.122084.772407.7113.272336.7713.683202.249.98275.03116.1922062354.466651.458080.5932350.7148561.835500.9983716749.926647.706755.2814.269108.524201.370154.92938.99111.77524.148155.91024.5399.939130.04145.981292.80450.32759.369748109107.662.114.6136.3918.7045.22140.2046.6892197.183100.0406127.849794.1002116.075516.396915.580325.682032.640411011760535270113418019360251303208764190713.7221.2351.7952.3338.8355.0817.61167.7320.8726.640.9640.6427.3515.7951456875452.173365.61417.14076926.2042204622.7407575910.6633130176213120404.44432.78430.5716.1020.3916.1816.1116.002992945488.613338000000107765380101.5566.7183.9027127.81780874.6146456411990528491.575.9153867411.271855291760604191971.43716.2110.283.330.660.3630.64009930.350772147.74093166.29673OpenBenchmarking.org

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 22.1Input: Carbon NanotubeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1632486480SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.54, N = 3SE +/- 0.21, N = 369.8942.5159.8538.201. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

GPAW

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9220.9264.6EPYC 7763 2P75.3431.0540.7EPYC 7773X33.7242.7284.9EPYC 7773X 2P73.1469.6569.8OpenBenchmarking.orgWatts, Fewer Is BetterGPAW 22.1CPU Power Consumption Monitor140280420560700

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P3691215SE +/- 0.014, N = 3SE +/- 0.109, N = 3SE +/- 0.021, N = 3SE +/- 0.020, N = 35.77210.0727.16511.2161. (CXX) g++ options: -O3

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2022.1Implementation: MPI CPU - Input: water_GMX50_bareEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.00650.0130.01950.0260.03250.0240.0220.0290.023

GROMACS

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.2240.0275.4EPYC 7763 2P76.6458.8563.8EPYC 7773X34.7248.6286.6EPYC 7773X 2P75.9480.2572.9OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2022.1CPU Power Consumption Monitor140280420560700

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.0860.1720.2580.3440.43SE +/- 0.00059, N = 3SE +/- 0.00135, N = 4SE +/- 0.00050, N = 3SE +/- 0.00076, N = 40.382260.224180.376360.22366

NAMD

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1237.1282.8EPYC 7763 2P76.9432.3560.7EPYC 7773X34.8232.9279.7EPYC 7773X 2P73.7439.6565.6OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor140280420560700

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P918273645SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 319.1237.3219.7138.241. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.02210.04420.06630.08840.11050.0980.0900.0930.084

High Performance Conjugate Gradient

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.2195.9245.5EPYC 7763 2P76.5415.4503.2EPYC 7773X34.8212.3269.7EPYC 7773X 2P74.0457.8557.3OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor140280420560700

WRF

Input: conus 2.5km

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P4K8K12K16K20K16544.828372.9315435.547410.731. (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 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P100200300400500Min: 36.05 / Avg: 216.85 / Max: 272.97Min: 77.54 / Avg: 467 / Max: 537.26Min: 34.41 / Avg: 237.81 / Max: 286.77Min: 73.95 / Avg: 519.71 / Max: 573.39

RELION

Test: Basic - Device: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P120240360480600SE +/- 4.68, N = 3SE +/- 3.63, N = 4SE +/- 3.13, N = 4SE +/- 1.24, N = 12566.38293.34276.59147.361. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lmpi_cxx -lmpi

RELION

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption MonitorEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P100200300400500Min: 36.37 / Avg: 263.51 / Max: 280.53Min: 76.42 / Avg: 519.5 / Max: 540.12Min: 34.87 / Avg: 278.21 / Max: 286.87Min: 73.82 / Avg: 546.92 / Max: 575.58

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P400M800M1200M1600M2000MSE +/- 808623.73, N = 3SE +/- 1653035.32, N = 3SE +/- 423657.23, N = 3SE +/- 3210600.38, N = 310144450001929891667105705066719988973331. (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 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1.2M2.4M3.6M4.8M6M5507035.544886141.125260039.454557540.60

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3184.2249.6EPYC 7763 2P76.9395.0502.9EPYC 7773X35.1201.0257.7EPYC 7773X 2P73.2438.6546.0OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor140280420560700

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per DirectionEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1.16552.3313.49654.6625.8275SE +/- 0.03796824, N = 15SE +/- 0.04202120, N = 12SE +/- 0.02518485, N = 7SE +/- 0.03428839, N = 155.179966773.131475114.382258622.246857121. (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 776336.1145.7250.3EPYC 7763 2P77.3251.3508.1EPYC 7773X20.5145.8267.8EPYC 7773X 2P73.8247.1568.9OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor140280420560700

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P510152025SE +/- 0.17583211, N = 3SE +/- 0.03743001, N = 4SE +/- 0.05294615, N = 3SE +/- 0.09231981, N = 1521.8095589011.0087018016.875356109.507789931. (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 776336.0193.9243.8EPYC 7763 2P77.2363.0507.4EPYC 7773X34.3204.7265.7EPYC 7773X 2P75.3380.7554.3OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor140280420560700

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P130260390520650SE +/- 0.30, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3603.54297.43573.31265.941. (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

OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P100200300400500Min: 35.9 / Avg: 214.87 / Max: 250.35Min: 77.69 / Avg: 462.38 / Max: 512.37Min: 34.48 / Avg: 224.91 / Max: 274.82Min: 74.4 / Avg: 498.45 / Max: 544.95

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P9K18K27K36K45KSE +/- 36.15, N = 3SE +/- 178.54, N = 3SE +/- 83.18, N = 3SE +/- 106.16, N = 319943.0938255.5122729.5943886.001. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P306090120150113.89105.34125.28115.32

LULESH

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9175.1259.7EPYC 7763 2P78.1363.1533.0EPYC 7773X34.4181.4266.4EPYC 7773X 2P76.0380.6553.8OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor140280420560700

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1.30792.61583.92375.23166.5395SE +/- 0.039217, N = 15SE +/- 0.083507, N = 15SE +/- 0.046366, N = 15SE +/- 0.038831, N = 155.8128083.4843255.4197123.3005781. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0154.0253.1EPYC 7763 2P76.9259.9497.9EPYC 7773X34.4165.8278.3EPYC 7773X 2P41.9279.3567.9OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor140280420560700

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P3691215SE +/- 0.071304, N = 5SE +/- 0.063855, N = 15SE +/- 0.073072, N = 10SE +/- 0.041035, N = 710.1609305.5003179.5187815.1245291. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

Pennant

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8192.7271.4EPYC 7763 2P77.4305.1503.7EPYC 7773X34.4196.3279.0EPYC 7773X 2P74.8326.7570.0OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor140280420560700

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1224364860SE +/- 0.20, N = 5SE +/- 0.34, N = 8SE +/- 0.20, N = 15SE +/- 0.35, N = 823.4838.9129.4651.051. (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 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.03740.07480.11220.14960.1870.1180.1150.1620.166

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0199.0286.6EPYC 7763 2P78.3338.1573.3EPYC 7773X34.3182.1283.5EPYC 7773X 2P75.1306.9557.1OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor140280420560700

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P50010001500200025002203.91999.12053.31866.51. (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 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P100200300400500Min: 35.9 / Avg: 240.12 / Max: 267.51Min: 77.51 / Avg: 461.15 / Max: 520.72Min: 34.65 / Avg: 274.01 / Max: 286.94Min: 74.75 / Avg: 539.19 / Max: 573.15

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P80K160K240K320K400KSE +/- 218.03, N = 3SE +/- 401.49, N = 4SE +/- 269.58, N = 3SE +/- 1679.40, N = 5133198.16252416.39166563.21369239.471. (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 4.1.4

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P2004006008001000598.05610.29720.51949.97

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3222.7279.8EPYC 7763 2P78.3413.6562.0EPYC 7773X34.9231.2286.5EPYC 7773X 2P73.5388.7574.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P30K60K90K120K150KSE +/- 449.74, N = 6SE +/- 811.29, N = 8SE +/- 81.03, N = 6SE +/- 898.92, N = 1560945.14118231.7364733.33127733.491. (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 4.1.4

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P100200300400500377.63427.78399.84458.52

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0161.4256.0EPYC 7763 2P76.5276.4526.5EPYC 7773X34.7161.9254.9EPYC 7773X 2P75.0278.6547.3OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P80K160K240K320K400KSE +/- 382.95, N = 4SE +/- 886.34, N = 6SE +/- 1813.78, N = 5SE +/- 2945.88, N = 10144112.86287345.28255823.48392397.671. (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 4.1.4

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P30060090012001500740.63804.161308.261147.28

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9194.6246.9EPYC 7763 2P77.5357.3552.5EPYC 7773X34.4195.5286.8EPYC 7773X 2P74.4342.0572.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P40K80K120K160K200KSE +/- 677.41, N = 10SE +/- 1060.57, N = 9SE +/- 2164.09, N = 15SE +/- 1611.06, N = 1588708.75136460.44135254.12163786.881. (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 4.1.4

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P2004006008001000604.33530.781044.53667.00

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9146.8269.2EPYC 7763 2P77.5257.1555.9EPYC 7773X34.4129.5286.7EPYC 7773X 2P74.9245.6573.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P50K100K150K200K250KSE +/- 21.43, N = 3SE +/- 290.00, N = 4SE +/- 208.16, N = 3SE +/- 1083.89, N = 651889.31114669.2789188.95230050.331. (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 4.1.4

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P140280420560700258.55285.67401.85635.03

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0200.7258.1EPYC 7763 2P77.7401.4554.7EPYC 7773X34.2221.9286.4EPYC 7773X 2P75.1362.3573.7OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P11002200330044005500SE +/- 15.95, N = 4SE +/- 75.53, N = 15SE +/- 34.33, N = 4SE +/- 42.90, N = 152695.004729.632838.045165.191. (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 4.1.4

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P4812162015.5715.3515.4616.36

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1173.1256.1EPYC 7763 2P76.9308.1520.1EPYC 7773X34.6183.6278.0EPYC 7773X 2P75.4315.8548.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P30K60K90K120K150KSE +/- 238.68, N = 9SE +/- 444.87, N = 10SE +/- 157.87, N = 9SE +/- 980.49, N = 1557200.1698920.0360128.52123247.081. (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 4.1.4

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P130260390520650514.65499.84536.49621.83

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8111.1218.5EPYC 7763 2P77.4197.9469.5EPYC 7773X34.3112.1231.5EPYC 7773X 2P74.3198.2543.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P11K22K33K44K55KSE +/- 74.99, N = 6SE +/- 404.03, N = 15SE +/- 271.08, N = 8SE +/- 413.94, N = 824379.6746814.8240140.3651069.451. (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 4.1.4

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P70140210280350152.95189.86311.33206.78

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8159.4263.0EPYC 7763 2P77.8246.6496.4EPYC 7773X34.0128.9261.8EPYC 7773X 2P75.0247.0526.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1020304050SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 342.2423.9543.7825.191. (CXX) g++ options: -O2 -lOpenCL

Rodinia

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9217.5260.4EPYC 7763 2P77.3387.3542.0EPYC 7773X34.1213.8256.8EPYC 7773X 2P75.3382.9522.2OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor140280420560700

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.23540.47080.70620.94161.177SE +/- 0.001, N = 3SE +/- 0.009, N = 3SE +/- 0.012, N = 3SE +/- 0.001, N = 31.0231.0460.9120.898

PyHPC Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.888.596.1EPYC 7763 2P76.6158.1197.3EPYC 7773X34.278.8105.5EPYC 7773X 2P74.2146.8174.1OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor50100150200250

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.48490.96981.45471.93962.4245SE +/- 0.003, N = 3SE +/- 0.010, N = 3SE +/- 0.006, N = 3SE +/- 0.007, N = 32.1452.1552.0482.026

PyHPC Benchmarks

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.783.092.6EPYC 7763 2P77.7153.7186.2EPYC 7773X34.073.784.7EPYC 7773X 2P74.7143.7165.5OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor50100150200250

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 39.7416.0110.3617.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P7001400210028003500SE +/- 3.86, N = 3SE +/- 2.80, N = 3SE +/- 1.12, N = 3SE +/- 5.57, N = 33238.661982.523059.081821.21MIN: 2882.48 / MAX: 3449.46MIN: 1894.59 / MAX: 2360.56MIN: 2823.86 / MAX: 3210.59MIN: 1460.7 / MAX: 2180.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7218.2263.7EPYC 7763 2P77.8381.3466.3EPYC 7773X33.9220.1263.4EPYC 7773X 2P74.4404.4487.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor130260390520650

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P15K30K45K60K75KSE +/- 6.50, N = 3SE +/- 25.85, N = 3SE +/- 39.91, N = 3SE +/- 23.57, N = 333814.3864899.7135966.8068270.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P20K40K60K80K100KSE +/- 47.17, N = 3SE +/- 544.04, N = 3SE +/- 101.99, N = 3SE +/- 1215.82, N = 355150.32106094.9857873.68108150.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 37.5914.397.9715.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P9001800270036004500SE +/- 4.63, N = 3SE +/- 5.23, N = 3SE +/- 4.41, N = 3SE +/- 6.50, N = 34151.952191.233956.742067.02MIN: 2163.29 / MAX: 4712.94MIN: 1746.25 / MAX: 2873.59MIN: 2046.69 / MAX: 4432.67MIN: 1611.61 / MAX: 2770.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.2237.6272.1EPYC 7763 2P76.7460.8546.3EPYC 7773X35.0239.7279.3EPYC 7773X 2P73.8488.4567.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor140280420560700

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 37.5814.388.0215.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P9001800270036004500SE +/- 10.19, N = 3SE +/- 7.70, N = 3SE +/- 7.16, N = 3SE +/- 12.20, N = 34147.582191.713931.312084.77MIN: 3423.12 / MAX: 4677.59MIN: 1768.77 / MAX: 3043.6MIN: 3302.53 / MAX: 4476.06MIN: 1658.89 / MAX: 2882.231. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0239.7271.9EPYC 7763 2P76.6467.1547.1EPYC 7773X34.8241.4284.0EPYC 7773X 2P73.8491.6568.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor140280420560700

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P5001000150020002500SE +/- 0.07, N = 3SE +/- 2.03, N = 3SE +/- 0.31, N = 3SE +/- 0.36, N = 31126.902136.931195.392407.711. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P714212835SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 328.3814.8826.7513.27MIN: 14.88 / MAX: 54.73MIN: 13.87 / MAX: 48.95MIN: 13.52 / MAX: 48.5MIN: 10.4 / MAX: 46.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3240.3261.2EPYC 7763 2P76.1484.5531.9EPYC 7773X34.9229.6245.7EPYC 7773X 2P73.9485.8527.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor130260390520650

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P5001000150020002500SE +/- 1.50, N = 3SE +/- 1.76, N = 3SE +/- 0.12, N = 3SE +/- 0.77, N = 31060.632173.491204.492336.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P714212835SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 330.1414.7026.5513.68MIN: 14.92 / MAX: 71.17MIN: 12.67 / MAX: 88.98MIN: 15.41 / MAX: 63.2MIN: 11.22 / MAX: 79.471. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.5255.1274.0EPYC 7763 2P76.4513.7555.6EPYC 7773X34.8230.2246.3EPYC 7773X 2P74.3512.9556.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor140280420560700

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P7001400210028003500SE +/- 0.54, N = 3SE +/- 0.68, N = 3SE +/- 0.30, N = 3SE +/- 1.92, N = 31637.962914.321876.123202.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 319.5110.9617.049.98MIN: 11.54 / MAX: 46.22MIN: 9.67 / MAX: 55.38MIN: 9.81 / MAX: 40.13MIN: 8.49 / MAX: 50.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3235.5255.0EPYC 7763 2P76.7448.2493.5EPYC 7773X34.8230.4249.2EPYC 7773X 2P73.9467.2522.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor130260390520650

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P60120180240300SE +/- 0.27, N = 3SE +/- 1.09, N = 3SE +/- 0.06, N = 3SE +/- 0.69, N = 3131.27254.03140.19275.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P50100150200250SE +/- 0.48, N = 3SE +/- 0.53, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 3243.26125.80227.77116.19MIN: 131.64 / MAX: 359.27MIN: 109.41 / MAX: 288.82MIN: 151.48 / MAX: 323.99MIN: 103.17 / MAX: 290.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenVINO

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3241.3265.3EPYC 7763 2P77.5451.9502.8EPYC 7773X34.7246.0275.5EPYC 7773X 2P74.8487.2549.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2022.2.devCPU Power Consumption Monitor140280420560700

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P50100150200250SE +/- 1.86, N = 4SE +/- 6.23, N = 12SE +/- 0.00, N = 3SE +/- 9.08, N = 91712101752201. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.19670.39340.59010.78680.98350.8740.4790.8360.470

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.2195.6218.7EPYC 7763 2P77.7438.3467.1EPYC 7773X34.4209.3220.5EPYC 7773X 2P75.0468.5502.5OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.11CPU Power Consumption Monitor130260390520650

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P13K26K39K52K65KSE +/- 137.18, N = 3SE +/- 153.43, N = 3SE +/- 0.00, N = 3SE +/- 307.17, N = 322333.244039.532294.862354.41. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P14K28K42K56K70KSE +/- 85.47, N = 3SE +/- 160.07, N = 3SE +/- 364.13, N = 3SE +/- 610.89, N = 323153.244983.234048.466651.41. (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 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P4080120160200122.94117.40162.65152.74

ASKAP

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1188.3279.4EPYC 7763 2P77.2383.2560.9EPYC 7773X34.6209.3271.5EPYC 7773X 2P75.1436.4556.8OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor140280420560700

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P12002400360048006000SE +/- 27.81, N = 3SE +/- 32.87, N = 3SE +/- 13.96, N = 3SE +/- 62.77, N = 338984598528658081. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.28Backend: EigenEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P51015202517.3713.3522.8217.20

LeelaChessZero

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9224.5272.2EPYC 7763 2P77.5344.5526.6EPYC 7773X34.6231.7287.0EPYC 7773X 2P75.3337.6556.6OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.28CPU Power Consumption Monitor140280420560700

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.19430.38860.58290.77720.9715SE +/- 0.000743, N = 7SE +/- 0.003588, N = 7SE +/- 0.001090, N = 7SE +/- 0.003100, N = 70.8635930.6279690.8363590.593235MIN: 0.84MIN: 0.58MIN: 0.79MIN: 0.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0151.1248.0EPYC 7763 2P77.2262.1417.6EPYC 7773X34.6157.6252.9EPYC 7773X 2P74.0283.6465.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor120240360480600

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.3550.711.0651.421.775SE +/- 0.002404, N = 7SE +/- 0.030182, N = 15SE +/- 0.018656, N = 12SE +/- 0.035324, N = 151.5776600.7965950.9338180.714856MIN: 1.52MIN: 0.42MIN: 0.56MIN: 0.41. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0152.4241.8EPYC 7763 2P77.4280.8490.2EPYC 7773X34.2167.6269.5EPYC 7773X 2P75.0308.1572.9OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor140280420560700

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1.10132.20263.30394.40525.5065SE +/- 0.02049, N = 5SE +/- 0.03481, N = 5SE +/- 0.00678, N = 5SE +/- 0.00761, N = 53.721804.894781.247101.83550MIN: 3.42MIN: 3.93MIN: 1.1MIN: 1.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9114.8176.7EPYC 7763 2P77.7237.0349.7EPYC 7773X34.1127.1225.8EPYC 7773X 2P74.8252.8400.9OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.25780.51560.77341.03121.289SE +/- 0.006358, N = 5SE +/- 0.009591, N = 15SE +/- 0.002130, N = 5SE +/- 0.015554, N = 150.7185371.1457700.6096890.998371MIN: 0.63MIN: 0.92MIN: 0.54MIN: 0.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8120.7211.7EPYC 7763 2P77.8233.2359.0EPYC 7773X34.1123.8211.3EPYC 7773X 2P75.2239.5344.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor100200300400500

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P16003200480064008000SE +/- 36.34, N = 3SE +/- 70.11, N = 3SE +/- 4.73, N = 3SE +/- 15.98, N = 32939.897393.332442.046749.92MIN: 2793.54MIN: 6942.5MIN: 2358.19MIN: 6112.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1163.6234.0EPYC 7763 2P78.1294.3409.2EPYC 7773X34.4163.8213.6EPYC 7773X 2P76.0302.7426.9OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P16003200480064008000SE +/- 20.00, N = 3SE +/- 79.86, N = 5SE +/- 12.11, N = 3SE +/- 25.65, N = 33013.737565.542415.076647.70MIN: 2911.3MIN: 7097.97MIN: 2315.22MIN: 6347.351. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.2162.2242.8EPYC 7763 2P77.7291.8399.7EPYC 7773X34.3164.7221.0EPYC 7773X 2P74.7303.3389.1OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P16003200480064008000SE +/- 32.75, N = 3SE +/- 78.09, N = 5SE +/- 33.03, N = 3SE +/- 53.11, N = 152978.277505.052401.566755.28MIN: 2838.58MIN: 6922.09MIN: 2271.8MIN: 5944.821. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

oneDNN

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9162.4241.1EPYC 7763 2P77.7291.9411.8EPYC 7773X34.3164.6210.2EPYC 7773X 2P74.8302.4424.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.6CPU Power Consumption Monitor110220330440550

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.04, N = 3SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.04, N = 418.2314.4817.7414.27

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7143.8286.3EPYC 7763 2P38.7235.4570.1EPYC 7773X34.5142.3286.8EPYC 7773X 2P74.6233.6572.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.4CPU Power Consumption Monitor140280420560700

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: NinjaEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P4080120160200SE +/- 0.71, N = 3SE +/- 0.33, N = 3SE +/- 0.70, N = 3SE +/- 0.31, N = 3167.05112.58159.22108.52

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.2213.9286.3EPYC 7763 2P78.2352.6572.7EPYC 7773X34.5215.9286.7EPYC 7773X 2P73.6350.0574.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor140280420560700

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix MakefilesEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P50100150200250SE +/- 1.42, N = 3SE +/- 0.30, N = 3SE +/- 0.91, N = 3SE +/- 0.32, N = 3244.61210.12232.08201.37

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1177.6286.5EPYC 7763 2P76.7278.7572.9EPYC 7773X34.5182.0286.8EPYC 7773X 2P73.1283.9574.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 13.0CPU Power Consumption Monitor140280420560700

Timed Gem5 Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 21.2Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P4080120160200SE +/- 2.33, N = 3SE +/- 0.84, N = 3SE +/- 1.36, N = 12SE +/- 0.34, N = 3188.63161.44178.79154.93

Timed Gem5 Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8149.9285.7EPYC 7763 2P77.2245.0569.4EPYC 7773X32.9150.0286.9EPYC 7773X 2P75.7240.7574.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Gem5 Compilation 21.2CPU Power Consumption Monitor140280420560700

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1020304050SE +/- 0.12, N = 3SE +/- 0.53, N = 3SE +/- 0.13, N = 3SE +/- 0.30, N = 345.4043.0742.8138.99

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8170.0283.9EPYC 7763 2P76.9261.5565.8EPYC 7773X34.2171.5286.6EPYC 7773X 2P73.9270.7574.5OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor140280420560700

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.03, N = 4SE +/- 0.09, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 414.6913.3912.9711.78

Timed ImageMagick Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0105.3286.4EPYC 7763 2P77.1179.7569.8EPYC 7773X34.2103.4286.4EPYC 7773X 2P74.3175.7573.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed ImageMagick Compilation 6.9.0CPU Power Consumption Monitor140280420560700

Timed Linux Kernel Compilation

Build: defconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: defconfigEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P816243240SE +/- 0.41, N = 4SE +/- 0.23, N = 7SE +/- 0.36, N = 4SE +/- 0.22, N = 732.6124.6731.9224.15

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.6158.8286.3EPYC 7763 2P77.9259.8572.8EPYC 7773X34.1157.7286.6EPYC 7773X 2P74.4255.5573.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.18CPU Power Consumption Monitor140280420560700

Timed Linux Kernel Compilation

Build: allmodconfig

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: allmodconfigEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P60120180240300SE +/- 0.62, N = 3SE +/- 0.39, N = 3SE +/- 0.45, N = 3SE +/- 0.69, N = 3267.50160.02263.29155.91

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.4247.4286.2EPYC 7763 2P79.0441.3573.4EPYC 7773X34.7250.1286.9EPYC 7773X 2P74.0442.9574.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.18CPU Power Consumption Monitor140280420560700

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P612182430SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 326.8724.9526.3824.54

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1128.7286.4EPYC 7763 2P76.7206.9572.7EPYC 7773X34.4124.6286.6EPYC 7773X 2P75.8202.8573.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor140280420560700

Timed MPlayer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.5Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P3691215SE +/- 0.034, N = 4SE +/- 0.058, N = 5SE +/- 0.056, N = 4SE +/- 0.025, N = 512.59410.09712.2049.939

Timed MPlayer Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8141.1285.6EPYC 7763 2P77.6220.0570.7EPYC 7773X34.1139.3286.6EPYC 7773X 2P74.5225.3573.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed MPlayer Compilation 1.5CPU Power Consumption Monitor140280420560700

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P4080120160200SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.42, N = 3SE +/- 0.22, N = 3186.25135.21177.63130.04

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9199.8286.3EPYC 7763 2P77.2328.9568.6EPYC 7773X34.1201.2286.9EPYC 7773X 2P73.9330.8576.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 18.8CPU Power Consumption Monitor140280420560700

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1122334455SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 349.1248.5646.2945.98

Timed PHP Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8101.1286.6EPYC 7763 2P77.1179.5569.8EPYC 7773X34.097.9286.6EPYC 7773X 2P73.7173.4573.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 8.1.9CPU Power Consumption Monitor140280420560700

Timed CPython Compilation

Build Configuration: Released Build, PGO + LTO Optimized

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P70140210280350298.37298.90292.42292.80

Timed CPython Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.578.6248.1EPYC 7763 2P77.5152.1359.7EPYC 7773X34.073.7279.3EPYC 7773X 2P74.5143.5443.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed CPython Compilation 3.10.6CPU Power Consumption Monitor120240360480600

Timed Wasmer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1224364860SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 352.9053.1149.6850.331. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

Timed Wasmer Compilation

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7107.5204.4EPYC 7763 2P76.9192.5339.3EPYC 7773X34.0107.2246.0EPYC 7773X 2P74.0188.1351.8OpenBenchmarking.orgWatts, Fewer Is BetterTimed Wasmer Compilation 2.3CPU Power Consumption Monitor100200300400500

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1530456075SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 365.5660.8663.1359.37

Build2

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7138.4286.6EPYC 7763 2P76.6226.2572.1EPYC 7773X34.1138.7286.6EPYC 7773X 2P73.8226.2573.1OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.13CPU Power Consumption Monitor140280420560700

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P160K320K480K640K800KSE +/- 1349.13, N = 3SE +/- 6731.38, N = 4SE +/- 1089.17, N = 3SE +/- 3553.28, N = 33852057193234121507481091. (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 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P4008001200160020001723.261641.751748.221676.79

7-Zip Compression

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7223.5282.3EPYC 7763 2P77.1438.1572.1EPYC 7773X34.0235.8286.6EPYC 7773X 2P74.0446.2575.3OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor140280420560700

Zstd Compression

Compression Level: 19 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P20406080100SE +/- 0.88, N = 5SE +/- 1.28, N = 15SE +/- 0.83, N = 3SE +/- 0.98, N = 785.080.1103.6107.61. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression SpeedEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1428425670SE +/- 0.20, N = 3SE +/- 0.79, N = 15SE +/- 0.06, N = 3SE +/- 0.70, N = 446.439.959.362.11. (CC) gcc options: -O3 -pthread -lz -llzma

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P612182430SE +/- 0.05, N = 3SE +/- 0.04, N = 4SE +/- 0.03, N = 3SE +/- 0.01, N = 426.9614.2727.5314.61

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7228.2270.3EPYC 7763 2P77.0428.2573.4EPYC 7773X33.9227.6264.3EPYC 7773X 2P74.2438.6572.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor140280420560700

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-OnlyEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1632486480SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 368.1735.0670.5736.39

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1251.6270.9EPYC 7763 2P77.1498.8572.5EPYC 7773X34.4248.9265.3EPYC 7773X 2P74.0505.3573.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor140280420560700

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P816243240SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 334.5118.4934.9718.70

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3230.4265.9EPYC 7763 2P77.0441.7572.8EPYC 7773X34.8227.6261.3EPYC 7773X 2P73.7438.2570.6OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor140280420560700

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P20406080100SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 385.5144.0887.4045.22

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3249.7265.7EPYC 7763 2P77.0509.0572.8EPYC 7773X35.1247.3261.7EPYC 7773X 2P74.3512.1571.7OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor140280420560700

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P60120180240300SE +/- 0.21, N = 3SE +/- 0.36, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 3264.87142.26266.64140.20

Blender

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3264.8277.0EPYC 7763 2P77.0529.7573.2EPYC 7773X34.9257.5269.5EPYC 7773X 2P73.9535.5574.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 3.3CPU Power Consumption Monitor140280420560700

Appleseed

Scene: Disney Material

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P132639526556.0947.6355.8546.69

Appleseed

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1219.8239.4EPYC 7763 2P78.7357.5404.3EPYC 7773X35.0225.8244.8EPYC 7773X 2P74.2395.5444.5OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor120240360480600

POV-Ray

Trace Time

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P3691215SE +/- 0.060, N = 4SE +/- 0.039, N = 5SE +/- 0.022, N = 4SE +/- 0.043, N = 59.6957.2989.6677.1831. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -R/usr/lib -lSDL -lXpm -lSM -lICE -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

POV-Ray

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3159.6270.7EPYC 7763 2P76.5253.1550.8EPYC 7773X34.5159.1268.3EPYC 7773X 2P74.8254.5553.8OpenBenchmarking.orgWatts, Fewer Is BetterPOV-Ray 3.7.0.7CPU Power Consumption Monitor140280420560700

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P20406080100SE +/- 0.10, N = 5SE +/- 0.51, N = 5SE +/- 0.18, N = 6SE +/- 1.00, N = 671.1573.6180.65100.04MIN: 69.44 / MAX: 73.41MIN: 68.18 / MAX: 78.55MIN: 78.3 / MAX: 82.21MIN: 92.73 / MAX: 105.71

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.09180.18360.27540.36720.4590.3520.2120.4080.270

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9201.9285.1EPYC 7763 2P76.7347.1489.2EPYC 7773X34.2197.6286.7EPYC 7773X 2P75.1370.3572.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrownEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P306090120150SE +/- 0.10, N = 5SE +/- 0.24, N = 7SE +/- 0.12, N = 5SE +/- 0.14, N = 763.19111.9468.86127.85MIN: 61.77 / MAX: 65.45MIN: 99.34 / MAX: 123.11MIN: 67.24 / MAX: 73.75MIN: 115.43 / MAX: 141.18

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrownEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.08280.16560.24840.33120.4140.3010.3100.3330.368

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0209.6286.1EPYC 7763 2P77.7360.7570.0EPYC 7773X34.4206.5286.8EPYC 7773X 2P75.3347.7573.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P20406080100SE +/- 0.04, N = 5SE +/- 0.55, N = 15SE +/- 0.24, N = 5SE +/- 0.75, N = 1566.0968.2672.2394.10MIN: 64.65 / MAX: 67.98MIN: 60.57 / MAX: 74.38MIN: 70.11 / MAX: 73.5MIN: 83.08 / MAX: 100.84

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.08080.16160.24240.32320.4040.3210.1870.3590.248

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0205.8285.8EPYC 7763 2P76.5365.0506.3EPYC 7773X34.4201.4286.6EPYC 7773X 2P74.8379.4573.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P306090120150SE +/- 0.08, N = 5SE +/- 0.13, N = 6SE +/- 0.08, N = 5SE +/- 0.26, N = 758.17101.5763.47116.08MIN: 56.95 / MAX: 60.5MIN: 92.31 / MAX: 113.29MIN: 62.1 / MAX: 67.43MIN: 103.38 / MAX: 128.14

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.07310.14620.21930.29240.36550.2720.2730.3040.325

Embree

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9214.2286.3EPYC 7763 2P77.0371.8570.4EPYC 7773X34.6208.5286.8EPYC 7773X 2P75.8357.5574.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.01245, N = 3SE +/- 0.01650, N = 3SE +/- 0.00528, N = 3SE +/- 0.00542, N = 39.0504016.409509.1471016.39690

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.00790.01580.02370.03160.03950.0350.0320.0350.031

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7260.6285.0EPYC 7763 2P77.9520.5571.8EPYC 7773X34.2260.9286.0EPYC 7773X 2P74.4525.3573.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor140280420560700

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.00934, N = 3SE +/- 0.01020, N = 3SE +/- 0.00091, N = 3SE +/- 0.00686, N = 38.6023615.658508.6550315.58030

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.00740.01480.02220.02960.0370.0330.0300.0330.030

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3260.4284.8EPYC 7763 2P77.9522.0570.2EPYC 7773X34.9260.2286.0EPYC 7773X 2P73.6526.1573.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor140280420560700

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 313.8725.9513.8125.68

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.01240.02480.03720.04960.0620.0550.0490.0550.048

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.4249.9274.6EPYC 7763 2P77.2528.3570.5EPYC 7773X35.0250.8273.9EPYC 7773X 2P73.6534.3574.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor140280420560700

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P816243240SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 317.7932.7517.8132.64

OSPRay

Benchmark: particle_volume/ao/real_time

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.10Benchmark: particle_volume/ao/real_timeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.01530.03060.04590.06120.07650.0680.0600.0670.059

OSPRay

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.2263.4269.5EPYC 7763 2P77.3544.6558.3EPYC 7773X35.0265.8271.7EPYC 7773X 2P74.1551.1566.8OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.10CPU Power Consumption Monitor140280420560700

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P5001000150020002500SE +/- 1.76, N = 3SE +/- 2.52, N = 3SE +/- 0.33, N = 3SE +/- 1.86, N = 321711137212511011. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3240.5274.4EPYC 7763 2P76.7497.0571.5EPYC 7773X35.1237.5269.0EPYC 7773X 2P74.4498.4573.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P8K16K24K32K40KSE +/- 43.02, N = 3SE +/- 67.34, N = 3SE +/- 77.82, N = 3SE +/- 24.26, N = 3350291831934169176051. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.4240.0273.6EPYC 7763 2P77.4522.2572.8EPYC 7773X35.0236.1269.1EPYC 7773X 2P74.7516.7573.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P16K32K48K64K80KSE +/- 88.75, N = 3SE +/- 102.80, N = 3SE +/- 173.71, N = 3SE +/- 69.38, N = 3762003662574550352701. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3227.5273.4EPYC 7763 2P76.9501.9572.8EPYC 7773X34.7224.4269.8EPYC 7773X 2P74.5501.8576.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P5001000150020002500SE +/- 1.33, N = 3SE +/- 2.19, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 321951158214011341. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3242.4276.9EPYC 7763 2P78.1495.2572.8EPYC 7773X35.0238.7270.5EPYC 7773X 2P73.6499.2574.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P8K16K24K32K40KSE +/- 38.76, N = 3SE +/- 35.24, N = 3SE +/- 81.80, N = 3SE +/- 49.96, N = 3353721861434424180191. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.5240.8275.0EPYC 7763 2P77.3521.6572.1EPYC 7773X34.7237.1269.6EPYC 7773X 2P73.7523.4574.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P17K34K51K68K85KSE +/- 72.64, N = 3SE +/- 85.62, N = 3SE +/- 88.52, N = 3SE +/- 73.14, N = 3771083723274833360251. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3229.0275.4EPYC 7763 2P77.6503.5572.8EPYC 7773X34.9224.4269.3EPYC 7773X 2P73.6505.3573.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P6001200180024003000SE +/- 4.33, N = 3SE +/- 2.33, N = 3SE +/- 1.00, N = 3SE +/- 1.20, N = 325821350251713031. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3241.9275.0EPYC 7763 2P77.3497.9572.7EPYC 7773X34.9238.2269.1EPYC 7773X 2P73.8500.2574.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P9K18K27K36K45KSE +/- 26.14, N = 3SE +/- 27.62, N = 3SE +/- 121.66, N = 3SE +/- 17.36, N = 3415382171840556208761. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3243.6273.6EPYC 7763 2P77.9487.2572.8EPYC 7773X34.9240.6269.2EPYC 7773X 2P74.4486.7573.7OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P20K40K60K80K100KSE +/- 64.26, N = 3SE +/- 75.07, N = 3SE +/- 132.68, N = 3SE +/- 141.78, N = 3892304341586930419071. (CXX) g++ options: -O3 -ldl

OSPRay Studio

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.4233.1273.8EPYC 7763 2P76.9512.1573.7EPYC 7773X35.2229.8269.1EPYC 7773X 2P74.2512.5574.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.11CPU Power Consumption Monitor140280420560700

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 39.4713.769.4513.72MIN: 9.23 / MAX: 10.23MIN: 12.78 / MAX: 18.83MIN: 9.13 / MAX: 10.06MIN: 13.02 / MAX: 18.16

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.00830.01660.02490.03320.04150.0370.0280.0370.026

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1255.7275.4EPYC 7763 2P76.5492.5570.9EPYC 7773X34.9253.6276.7EPYC 7773X 2P74.8528.3578.8OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor160320480640800

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P510152025SE +/- 0.08, N = 3SE +/- 0.28, N = 15SE +/- 0.01, N = 3SE +/- 0.06, N = 313.9121.7613.4321.23MIN: 12.02 / MAX: 16.11MIN: 18.31 / MAX: 29.43MIN: 11.9 / MAX: 15.89MIN: 18.86 / MAX: 28.66

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.01240.02480.03720.04960.0620.0550.0430.0530.041

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3253.9283.2EPYC 7763 2P76.6508.8573.5EPYC 7773X34.8251.9278.7EPYC 7773X 2P75.2520.3574.4OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor140280420560700

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.4Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1530456075SE +/- 0.53, N = 4SE +/- 0.29, N = 4SE +/- 0.63, N = 5SE +/- 0.45, N = 459.7847.6566.0151.791. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.4Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.16650.3330.49950.6660.83250.6390.2630.7400.298

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.993.5119.0EPYC 7763 2P76.5181.4218.7EPYC 7773X34.489.2116.5EPYC 7773X 2P73.6173.9212.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.4CPU Power Consumption Monitor60120180240300

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.4Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1530456075SE +/- 0.25, N = 5SE +/- 0.43, N = 4SE +/- 0.25, N = 5SE +/- 0.46, N = 461.3447.9467.4352.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.4Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.16670.33340.50010.66680.83350.6430.2600.7410.294

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.995.4119.6EPYC 7763 2P77.1184.5225.7EPYC 7773X34.190.9117.6EPYC 7773X 2P75.0177.7223.7OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.4CPU Power Consumption Monitor60120180240300

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.4Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1122334455SE +/- 0.13, N = 4SE +/- 0.15, N = 3SE +/- 0.19, N = 4SE +/- 0.29, N = 445.9136.9049.5338.831. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.4Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.10910.21820.32730.43640.54550.4400.1870.4850.202

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7104.4127.4EPYC 7763 2P78.4196.8226.0EPYC 7773X33.9102.0125.8EPYC 7773X 2P76.2192.5224.1OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.4CPU Power Consumption Monitor60120180240300

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1326395265SE +/- 0.08, N = 4SE +/- 0.41, N = 15SE +/- 0.06, N = 4SE +/- 0.61, N = 539.0856.9841.7555.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.05650.1130.16950.2260.28250.2510.1970.2490.186

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1156.0194.3EPYC 7763 2P77.3289.0392.1EPYC 7773X34.2167.4214.5EPYC 7773X 2P75.2296.8402.0OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.1CPU Power Consumption Monitor110220330440550

SVT-HEVC

Tuning: 1 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 311.1917.7411.1317.611. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 1 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.01040.02080.03120.04160.0520.0460.0390.0460.038

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7245.8274.9EPYC 7763 2P77.8455.6570.4EPYC 7773X34.3241.0277.9EPYC 7773X 2P74.8465.7573.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor140280420560700

SVT-HEVC

Tuning: 10 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P50100150200250SE +/- 0.55, N = 9SE +/- 1.99, N = 15SE +/- 0.70, N = 9SE +/- 1.47, N = 15237.26195.08246.66167.731. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 10 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.51461.02921.54382.05842.5732.1701.0302.2870.901

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8109.3257.2EPYC 7763 2P77.2189.4375.4EPYC 7773X34.2107.9267.9EPYC 7773X 2P38.4186.1359.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor100200300400500

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P714212835SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 1526.9320.3528.0220.871. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.04550.0910.13650.1820.22750.1970.0880.2020.091

x265

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9136.7171.9EPYC 7763 2P76.9230.2277.5EPYC 7773X34.2138.7179.1EPYC 7773X 2P75.3229.4291.1OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor70140210280350

JPEG XL libjxl

Input: JPEG - Encode Speed: 8

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 8EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P714212835SE +/- 0.08, N = 5SE +/- 0.25, N = 7SE +/- 0.04, N = 5SE +/- 0.24, N = 528.9327.2128.6126.641. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie

JPEG XL libjxl

Input: JPEG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: JPEG - Encode Speed: 8EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.10170.20340.30510.40680.50850.4290.1880.4520.193

JPEG XL libjxl

CPU Power Consumption Monitor

MinAvgMaxEPYC 776318.067.484.1EPYC 7763 2P77.5144.8177.0EPYC 7773X33.963.377.3EPYC 7773X 2P74.4137.8169.8OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor50100150200250

JPEG XL libjxl

Input: PNG - Encode Speed: 8

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 8EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.2250.450.6750.91.125SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.990.961.000.961. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie

JPEG XL libjxl

Input: PNG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 8EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.00320.00640.00960.01280.0160.0130.0060.0140.007

JPEG XL libjxl

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.877.799.5EPYC 7763 2P73.6155.2196.4EPYC 7773X33.972.894.5EPYC 7773X 2P74.5147.7190.6OpenBenchmarking.orgWatts, Fewer Is BetterJPEG XL libjxl 0.6.1CPU Power Consumption Monitor50100150200250

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 2EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P918273645SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 339.9741.1839.8340.641. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7115.9274.9EPYC 7763 2P76.7191.3385.6EPYC 7773X34.1116.5284.3EPYC 7773X 2P74.4195.0445.7OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.10CPU Power Consumption Monitor120240360480600

libavif avifenc

Encoder Speed: 6, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 6, LosslessEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P246810SE +/- 0.033, N = 6SE +/- 0.029, N = 6SE +/- 0.027, N = 6SE +/- 0.032, N = 67.4837.4247.2367.3511. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.795.0246.1EPYC 7763 2P76.7162.1374.2EPYC 7773X33.997.7282.8EPYC 7773X 2P73.3166.0418.1OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.10CPU Power Consumption Monitor110220330440550

libavif avifenc

Encoder Speed: 10, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.10Encoder Speed: 10, LosslessEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1.30482.60963.91445.21926.524SE +/- 0.009, N = 7SE +/- 0.017, N = 7SE +/- 0.012, N = 7SE +/- 0.041, N = 75.5835.7995.5575.7951. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.669.6155.8EPYC 7763 2P76.5135.1258.8EPYC 7773X34.067.7164.2EPYC 7773X 2P74.0131.7257.6OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.10CPU Power Consumption Monitor70140210280350

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P30060090012001500SE +/- 0.67, N = 3SE +/- 1.67, N = 3SE +/- 0.88, N = 3SE +/- 3.67, N = 310361446103914561. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.97251.9452.91753.894.86254.3223.3214.2743.297

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.9239.7261.3EPYC 7763 2P76.4435.3468.1EPYC 7773X33.9243.1260.4EPYC 7773X 2P73.8441.6473.6OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor120240360480600

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P2004006008001000SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 2.03, N = 35828585958751. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: SharpenEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.53191.06381.59572.12762.65952.3521.9242.3641.930

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.6247.5270.5EPYC 7763 2P77.4446.1481.8EPYC 7773X34.7251.7271.8EPYC 7773X 2P74.5453.4488.4OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor130260390520650

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P100200300400500SE +/- 0.15, N = 7SE +/- 0.32, N = 7SE +/- 0.09, N = 7SE +/- 0.67, N = 7262.03450.11264.50452.171. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: MediumEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.62481.24961.87442.49923.1242.6852.6402.7772.689

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.897.6269.7EPYC 7763 2P76.2170.5533.1EPYC 7773X34.395.2267.4EPYC 7773X 2P74.0168.1533.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor140280420560700

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1530456075SE +/- 0.04, N = 5SE +/- 0.02, N = 6SE +/- 0.01, N = 5SE +/- 0.02, N = 633.8966.2834.1165.611. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ThoroughEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.06210.12420.18630.24840.31050.2220.2760.2260.267

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.7152.6268.1EPYC 7763 2P77.1240.1544.5EPYC 7773X34.1151.2266.0EPYC 7773X 2P53.9245.3557.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor140280420560700

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P246810SE +/- 0.0004, N = 3SE +/- 0.0017, N = 5SE +/- 0.0013, N = 3SE +/- 0.0027, N = 53.61897.23923.62717.14071. (CXX) g++ options: -O3 -flto -pthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ExhaustiveEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.00540.01080.01620.02160.0270.0190.0240.0200.023

ASTC Encoder

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8185.9268.2EPYC 7763 2P77.3301.0561.8EPYC 7773X34.2182.6266.5EPYC 7773X 2P74.7304.7572.9OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor140280420560700

Etcpak

Benchmark: Multi-Threaded - Configuration: ETC2

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 1.0Benchmark: Multi-Threaded - Configuration: ETC2EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P15003000450060007500SE +/- 10.29, N = 9SE +/- 38.74, N = 8SE +/- 7.06, N = 9SE +/- 24.69, N = 86689.616678.406990.006926.201. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

Etcpak

Benchmark: Multi-Threaded - Configuration: ETC2

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 1.0Benchmark: Multi-Threaded - Configuration: ETC2EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P2040608010072.6740.0181.1944.23

Etcpak

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.792.1192.9EPYC 7763 2P77.2166.9303.2EPYC 7773X33.986.1179.7EPYC 7773X 2P74.6156.6285.6OpenBenchmarking.orgWatts, Fewer Is BetterEtcpak 1.0CPU Power Consumption Monitor80160240320400

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 500 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 500 - Mode: Read WriteEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P14K28K42K56K70KSE +/- 124.43, N = 3SE +/- 657.10, N = 9SE +/- 618.42, N = 3SE +/- 351.77, N = 12596671244865956220461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 500 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 500 - Mode: Read Write - Average LatencyEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P918273645SE +/- 0.017, N = 3SE +/- 1.926, N = 9SE +/- 0.072, N = 3SE +/- 0.342, N = 128.38040.9777.58222.7401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0150.1239.8EPYC 7763 2P76.4210.4354.6EPYC 7773X34.5157.0255.7EPYC 7773X 2P74.5253.0419.9OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor110220330440550

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 500 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 500 - Mode: Read OnlyEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P300K600K900K1200K1500KSE +/- 6735.04, N = 3SE +/- 7253.81, N = 12SE +/- 2778.77, N = 3SE +/- 14141.18, N = 12122787769898312762477575911. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 500 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 1000 - Clients: 500 - Mode: Read Only - Average LatencyEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.16110.32220.48330.64440.8055SE +/- 0.002, N = 3SE +/- 0.007, N = 12SE +/- 0.001, N = 3SE +/- 0.012, N = 120.4070.7160.3910.6631. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0187.9284.8EPYC 7763 2P76.9302.6439.5EPYC 7773X34.4190.3288.2EPYC 7773X 2P74.8351.6564.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 14.0CPU Power Consumption Monitor140280420560700

ebizzy

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P700K1400K2100K2800K3500KSE +/- 31247.78, N = 13SE +/- 67846.42, N = 15SE +/- 3596.86, N = 3SE +/- 63488.17, N = 1523453953061051258531631301761. (CC) gcc options: -pthread -lpthread -O3 -march=native

ebizzy

OpenBenchmarking.orgRecords/s Per Watt, More Is Betterebizzy 0.3EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P3K6K9K12K15K11357.367429.4712415.087385.23

ebizzy

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8206.5245.7EPYC 7763 2P78.3412.0497.0EPYC 7773X34.3208.2246.4EPYC 7773X 2P75.0423.8505.9OpenBenchmarking.orgWatts, Fewer Is Betterebizzy 0.3CPU Power Consumption Monitor130260390520650

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: WritesEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P60K120K180K240K300KSE +/- 1011.05, N = 3SE +/- 1884.49, N = 6SE +/- 1405.73, N = 3SE +/- 2897.92, N = 3251988197128274679213120

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 4.0Test: WritesEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P300600900120015001374.98593.161390.50610.58

Apache Cassandra

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3183.3216.4EPYC 7763 2P77.5332.3402.3EPYC 7773X34.6197.5236.3EPYC 7773X 2P75.8349.0414.5OpenBenchmarking.orgWatts, Fewer Is BetterApache Cassandra 4.0CPU Power Consumption Monitor110220330440550

ClickHouse

100M Rows Web Analytics Dataset, First Run / Cold Cache

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, First Run / Cold CacheEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P90180270360450SE +/- 5.03, N = 12SE +/- 7.02, N = 12SE +/- 4.57, N = 12SE +/- 5.49, N = 14372.65392.36417.89404.44MIN: 37.27 / MAX: 20000MIN: 42.28 / MAX: 15000MIN: 42.13 / MAX: 20000MIN: 48.98 / MAX: 200001. ClickHouse server version 22.5.4.19 (official build).

ClickHouse

100M Rows Web Analytics Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second RunEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P90180270360450SE +/- 1.48, N = 12SE +/- 2.21, N = 12SE +/- 2.98, N = 12SE +/- 2.49, N = 14385.08420.41433.68432.78MIN: 42.08 / MAX: 20000MIN: 69.61 / MAX: 20000MIN: 46.55 / MAX: 20000MIN: 75 / MAX: 200001. ClickHouse server version 22.5.4.19 (official build).

ClickHouse

100M Rows Web Analytics Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P100200300400500SE +/- 1.09, N = 12SE +/- 2.91, N = 12SE +/- 2.88, N = 12SE +/- 2.69, N = 14389.40419.07442.36430.57MIN: 40.93 / MAX: 20000MIN: 68.03 / MAX: 20000MIN: 46.55 / MAX: 20000MIN: 74.26 / MAX: 200001. ClickHouse server version 22.5.4.19 (official build).

ClickHouse

100M Rows Web Analytics Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.68761.37522.06282.75043.4382.7701.6233.0561.630

ClickHouse

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0140.6218.4EPYC 7763 2P77.1258.3386.9EPYC 7773X34.6144.7235.1EPYC 7773X 2P75.1264.2427.1OpenBenchmarking.orgWatts, Fewer Is BetterClickHouse 22.5.4.19CPU Power Consumption Monitor110220330440550

Apache Spark

Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 100 - Calculate Pi BenchmarkEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P714212835SE +/- 0.35, N = 3SE +/- 0.04, N = 4SE +/- 0.16, N = 15SE +/- 0.12, N = 932.2015.9931.3716.10

Apache Spark

Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark TimeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P510152025SE +/- 0.09, N = 15SE +/- 0.17, N = 12SE +/- 0.13, N = 3SE +/- 0.11, N = 313.4520.2912.6420.01

Apache Spark

Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 500 - Calculate Pi BenchmarkEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P714212835SE +/- 0.10, N = 15SE +/- 0.04, N = 12SE +/- 0.22, N = 3SE +/- 0.17, N = 331.9316.0430.9415.98

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 1000 - Calculate Pi BenchmarkEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P714212835SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.41, N = 3SE +/- 0.11, N = 331.7715.9231.4415.88

Apache Spark

Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 20000000 - Partitions: 2000 - Calculate Pi BenchmarkEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P714212835SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 332.1916.0730.2816.32

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P600K1200K1800K2400K3000K744533296259377756429929451. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.32.6VGR Performance MetricEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P4K8K12K16K20K3087.7816490.703015.4717705.11

BRL-CAD

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0241.1265.5EPYC 7763 2P77.1179.7352.4EPYC 7773X34.6257.9283.8EPYC 7773X 2P73.9169.0332.9OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.32.6CPU Power Consumption Monitor100200300400500

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P110220330440550SE +/- 2.62, N = 3SE +/- 0.72, N = 3SE +/- 1.00, N = 3SE +/- 1.81, N = 3466.89455.68492.43488.61

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P2468106.5213.2297.3823.634

Numpy Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.571.692.2EPYC 7763 2P76.1141.1164.8EPYC 7773X33.766.770.9EPYC 7773X 2P73.8134.5141.7OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor50100150200250

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P700M1400M2100M2800M3500MSE +/- 5026927.49, N = 3SE +/- 4504442.25, N = 3SE +/- 2403007.38, N = 3SE +/- 2138535.32, N = 328104000003187000000284493333333380000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P3M6M9M12M15M12341073.069308668.7712678254.228500179.15

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0227.7269.8EPYC 7763 2P76.8342.4401.6EPYC 7773X34.1224.4265.2EPYC 7773X 2P73.8393.1466.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor120240360480600

PJSIP

Method: OPTIONS, Stateful

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P2K4K6K8K10KSE +/- 97.36, N = 3SE +/- 113.02, N = 3SE +/- 10.68, N = 3SE +/- 27.93, N = 38891858210844107761. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

PJSIP

Method: OPTIONS, Stateful

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P306090120150120.1155.37156.1277.69

PJSIP

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.874.086.6EPYC 7763 2P76.0155.0185.0EPYC 7773X33.969.580.5EPYC 7773X 2P70.2138.7165.3OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor50100150200250

PJSIP

Method: INVITE

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: INVITEEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P12002400360048006000SE +/- 28.20, N = 3SE +/- 68.28, N = 15SE +/- 1.53, N = 3SE +/- 41.51, N = 1547034301566653801. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

PJSIP

Method: INVITE

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: INVITEEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P2040608010061.4327.1177.8735.09

PJSIP

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.576.686.5EPYC 7763 2P39.6158.6203.3EPYC 7773X33.872.886.5EPYC 7773X 2P75.5153.3198.2OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor50100150200250

Ngspice

Circuit: C7552

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P20406080100SE +/- 0.52, N = 3SE +/- 1.35, N = 3SE +/- 0.36, N = 3SE +/- 0.27, N = 3107.80109.71100.92101.561. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE

Ngspice

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.874.487.3EPYC 7763 2P76.9144.5159.9EPYC 7773X33.766.480.3EPYC 7773X 2P75.4135.9152.1OpenBenchmarking.orgWatts, Fewer Is BetterNgspice 34CPU Power Consumption Monitor50100150200250

GNU Octave Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 7.2.0EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P246810SE +/- 0.016, N = 6SE +/- 0.031, N = 6SE +/- 0.010, N = 6SE +/- 0.015, N = 67.4637.8756.5106.718

BLAKE2

OpenBenchmarking.orgCycles Per Byte, Fewer Is BetterBLAKE2 20170307EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P1.00132.00263.00394.00525.0065SE +/- 0.11, N = 15SE +/- 0.00, N = 14SE +/- 0.00, N = 14SE +/- 0.00, N = 144.454.343.913.901. (CC) gcc options: -O3 -march=native -lcrypto -lz

BLAKE2

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.340.960.3EPYC 7763 2P75.687.1121.9EPYC 7773X33.638.755.1EPYC 7773X 2P73.584.2116.5OpenBenchmarking.orgWatts, Fewer Is BetterBLAKE2 20170307CPU Power Consumption Monitor4080120160200

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P6K12K18K24K30KSE +/- 3.42, N = 3SE +/- 22.46, N = 3SE +/- 25.24, N = 3SE +/- 13.15, N = 313287.526521.813762.327127.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P400K800K1200K1600K2000KSE +/- 79.21, N = 3SE +/- 3081.20, N = 3SE +/- 1242.31, N = 3SE +/- 180.37, N = 3867678.41728763.7902005.31780874.61. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: RSA4096EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P80016002400320040003732.853684.043480.193406.12

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.4232.4250.3EPYC 7763 2P75.9469.3502.7EPYC 7773X33.7259.2276.0EPYC 7773X 2P73.8522.8558.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor140280420560700

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P30000M60000M90000M120000M150000MSE +/- 10744204.26, N = 3SE +/- 22229383.18, N = 3SE +/- 66727027.10, N = 3SE +/- 112290036.56, N = 374358249567148797141130740139306001464564119901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P60M120M180M240M300M295613823.05294464855.67278365751.00271280767.13

OpenSSL

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.1251.5273.6EPYC 7763 2P76.7505.3550.2EPYC 7773X34.5265.9286.6EPYC 7773X 2P73.3539.9574.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.0CPU Power Consumption Monitor140280420560700

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P110K220K330K440K550KSE +/- 16.30, N = 3SE +/- 171.45, N = 3SE +/- 64.96, N = 3SE +/- 738.28, N = 3252773.24503926.60265046.14528491.571. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 1.0.20Test: CPUEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P300600900120015001281.011256.251187.261130.40

Sysbench

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.2197.3205.7EPYC 7763 2P76.9401.1423.6EPYC 7773X34.7223.2232.8EPYC 7773X 2P73.9467.5491.8OpenBenchmarking.orgWatts, Fewer Is BetterSysbench 1.0.20CPU Power Consumption Monitor130260390520650

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P3691215SE +/- 0.041, N = 4SE +/- 0.016, N = 6SE +/- 0.017, N = 5SE +/- 0.008, N = 712.3046.44311.2815.9151. (CXX) g++ options: -fopenmp -O2 -march=native

m-queens

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.6198.2257.2EPYC 7763 2P77.3335.6514.4EPYC 7773X33.6208.7277.7EPYC 7773X 2P74.1351.9558.0OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor140280420560700

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P800K1600K2400K3200K4000KSE +/- 8067.73, N = 3SE +/- 1745.40, N = 3SE +/- 8411.66, N = 3SE +/- 1391.68, N = 31876249.143706923.161987443.333867411.271. (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 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P2K4K6K8K10K9060.929770.078292.508823.29

Coremark

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8206.4232.2EPYC 7763 2P77.2379.4466.4EPYC 7773X34.6239.7273.4EPYC 7773X 2P73.8438.3552.3OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor140280420560700

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P60M120M180M240M300MSE +/- 1045666.18, N = 3SE +/- 451407.56, N = 3SE +/- 348426.38, N = 3SE +/- 2388608.17, N = 9159120297291595066156507344291760604

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P130K260K390K520K650K590632.17542075.99574873.97531830.79

asmFish

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.5269.4286.8EPYC 7763 2P76.5537.9569.6EPYC 7773X33.7272.2286.6EPYC 7773X 2P73.6548.6573.2OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor140280420560700

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P40K80K120K160K200KSE +/- 260.37, N = 3SE +/- 1433.11, N = 3SE +/- 690.81, N = 3SE +/- 1789.41, N = 6174850.51160706.62177255.71191971.441. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.7EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P160320480640800693.68408.25720.42409.84

Aircrack-ng

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.3252.1286.3EPYC 7763 2P76.3393.6444.7EPYC 7773X34.5246.0283.1EPYC 7773X 2P74.2468.4536.2OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.7CPU Power Consumption Monitor140280420560700

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P48121620SE +/- 0.02, N = 11SE +/- 0.01, N = 11SE +/- 0.01, N = 11SE +/- 0.00, N = 1116.1516.1716.2316.211. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.08240.16480.24720.32960.4120.3420.1630.3660.171

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.547.271.5EPYC 7763 2P76.699.4142.2EPYC 7773X33.544.366.6EPYC 7773X 2P74.595.0137.6OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor4080120160200

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P3691215SE +/- 0.02, N = 10SE +/- 0.03, N = 10SE +/- 0.00, N = 10SE +/- 0.01, N = 1010.2210.2110.2910.281. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.04910.09820.14730.19640.24550.2040.0990.2180.103

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.450.171.3EPYC 7763 2P70.1102.9141.2EPYC 7773X33.747.266.4EPYC 7773X 2P73.699.9137.7OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor4080120160200

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 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.74931.49862.24792.99723.7465SE +/- 0.00, N = 6SE +/- 0.00, N = 6SE +/- 0.00, N = 6SE +/- 0.00, N = 63.313.313.333.331. (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 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.01350.0270.04050.0540.06750.0560.0280.0600.029

WebP Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.558.771.7EPYC 7763 2P76.1118.9144.1EPYC 7773X33.655.166.8EPYC 7773X 2P73.7114.1136.8OpenBenchmarking.orgWatts, Fewer Is BetterWebP Image Encode 1.2.4CPU Power Consumption Monitor4080120160200

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.14850.2970.44550.5940.7425SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 15SE +/- 0.00, N = 30.480.640.520.661. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.00050.0010.00150.0020.00250.0020.0020.0020.002

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.6197.3264.1EPYC 7763 2P76.0314.5456.1EPYC 7773X33.7213.9286.7EPYC 7773X 2P74.2361.5550.4OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor140280420560700

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.0810.1620.2430.3240.405SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.240.350.260.361. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7EPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P0.00020.00040.00060.00080.0010.0010.0010.0010.001

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMaxEPYC 776336.0216.9262.2EPYC 7763 2P75.6359.1460.9EPYC 7773X34.6231.2286.6EPYC 7773X 2P73.8418.6555.0OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor140280420560700

GNU Octave Benchmark

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.674.3115.1EPYC 7763 2P76.9138.2197.8EPYC 7773X33.869.2114.3EPYC 7773X 2P75.0130.1204.0OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave Benchmark 7.2.0CPU Power Consumption Monitor50100150200250

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P81624324034.4931.5628.9430.641. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P112233445548.3535.3440.0530.351. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.6225.9258.5EPYC 7763 2P76.5430.1513.2EPYC 7773X34.3243.2283.5EPYC 7773X 2P75.6478.8572.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor140280420560700

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P4080120160200161.85154.21126.71147.741. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 7763EPYC 7763 2PEPYC 7773XEPYC 7773X 2P140280420560700627.97277.13365.76166.301. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxEPYC 776335.8231.8259.1EPYC 7763 2P76.8472.8520.4EPYC 7773X34.8258.0286.4EPYC 7773X 2P74.9522.5571.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor140280420560700


Phoronix Test Suite v10.8.4