server-cpus-june-2021

2 x AMD EPYC 7763 64-Core testing with a AMD DAYTONA_X (RYM1001D BIOS) and llvmpipe on Ubuntu 21.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2106146-IB-2XEPYC77666
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Result
Identifier
Performance Per
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Date
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  Test
  Duration
2 x EPYC 7763
June 13
  11 Hours, 11 Minutes
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server-cpus-june-2021 OpenBenchmarking.orgPhoronix Test Suite 10.4.02 x AMD EPYC 7763 64-Core @ 2.45GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1001D BIOS)AMD Starship/Matisse504GB7682GB INTEL SSDPF2KX076TZllvmpipeVE2282 x Mellanox MT27710Ubuntu 21.045.13.0-051300rc4-generic (x86_64) 20210530X Server 1.20.114.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits)1.0.2GCC 10.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionServer-cpus-june-2021 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --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-build-config=bootstrap-lto-lean --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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001119 - Python 3.9.5- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

server-cpus-june-2021 npb: BT.Cnpb: CG.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: IS.Dnpb: LU.Cnpb: MG.Cnpb: SP.Bnpb: SP.Cminife: Smallcloverleaf: Lagrangian-Eulerian Hydrodynamicsrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomstoybrot: TBBtoybrot: OpenMPtoybrot: C++ Taskstoybrot: C++ Threadsamg: pennant: sedovbigpennant: leblancbignwchem: C240 Buckyballincompact3d: X3D-benchmarking input.i3dincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionopenfoam: Motorbike 30Mopenfoam: Motorbike 60Mqe: AUSURF112lammps: 20k Atomslammps: Rhodopsin Proteinlulesh: xmrig: Monero - 1Mxmrig: Wownero - 1Mjohn-the-ripper: Blowfishjohn-the-ripper: MD5luxcorerender: DLSC - CPUluxcorerender: Danish Mood - CPUluxcorerender: Orange Juice - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Rainbow Colors and Prism - CPUgraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spacedav1d: Summer Nature 4Kdav1d: Chimera 1080p 10-bitttsiod-renderer: Phong Rendering With Soft-Shadow Mappingembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080px265: Bosphorus 4Kmt-dgemm: Sustained Floating-Point Rateoidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096openvkl: vklBenchmarkopenvkl: vklBenchmarkVdbVolumeopenvkl: vklBenchmarkStructuredVolumecoremark: CoreMark Size 666 - Iterations Per Secondcompress-7zip: Compress Speed Teststockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthebizzy: avifenc: 6, Losslessbuild-apache: Time To Compilebuild-ffmpeg: Time To Compilebuild-gdb: Time To Compilebuild-godot: Time To Compilebuild-imagemagick: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-mesa: Time To Compilebuild-nodejs: Time To Compilebuild-php: Time To Compilebuild2: Time To Compilec-ray: Total Time - 4K, 16 Rays Per Pixelpovray: Trace Timeprimesieve: 1e12 Prime Number Generationyafaray: Total Time For Sample Scenerays1bench: Large Sceneonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUbuild-wasmer: Time To Compilehelsing: 14 digitm-queens: Time To Solvetachyon: Total Timewebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5webp2: Quality 100, Lossless Compressionopenssl: RSA 4096-bit Performanceaircrack-ng: cpuminer-opt: Magicpuminer-opt: x25xcpuminer-opt: Deepcoincpuminer-opt: Blake-2 Scpuminer-opt: Garlicoincpuminer-opt: Skeincoincpuminer-opt: Myriad-Groestlcpuminer-opt: LBC, LBRY Creditsliquid-dsp: 64 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 160 - 256 - 57askap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingaskap: Hogbom Clean OpenMPgromacs: MPI CPU - water_GMX50_baretensorflow-lite: SqueezeNet2 x EPYC 7763257264.2448175.529537.2310736.77120440.044460.84288799.04102771.23149338.71116234.7626535.116.1223.65851.6186.1887.4890.22456349343273867367919254586675.2365543.3424981837.9297.6698002.7229741911.090042114.9090.14973.0235.08431.32636927.23556612.748176.01832341076333314.338.7821.668.6518.4023065698841468582653592.791143.60527.530110.7006100.655171.538259.528467.613658.939155.4359.085.06862.10155.17337.87596.09460.25459.91352.0724.8238.1396482.532.571.25603230156841098703813236345.093404498561312230895293793395311314229.27820.32014.71945.66651.98711.58618.30698.255177.23216.89973.15035.23054.2495.8317.2602.40850.263554.151.808284.724041.570481.063310.58613526.61023.324610.8488200.8422580.7302053330.401464.793319.371332.190.4884563334.591385.480.70641241.783122.8526.2448.9889121.684227.8076.963388.76028464.5414388.8026099.304336.2811214040770532868011246492387805157333110633333583073333359023333336000.3110480.3144990.147712.45171.515984.04320.62410.14153389.4OpenBenchmarking.org

NAS Parallel Benchmarks

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C2 x EPYC 776360K120K180K240K300KSE +/- 222.22, N = 4257264.241. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C2 x EPYC 7763140280420560700670.35
MinAvgMax2 x EPYC 776379.67383.8541.16OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.C2 x EPYC 776310K20K30K40K50KSE +/- 478.32, N = 648175.521. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.C2 x EPYC 77634080120160200187.33
MinAvgMax2 x EPYC 776381.95257.2474OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C2 x EPYC 77632K4K6K8K10KSE +/- 71.60, N = 159537.231. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C2 x EPYC 7763102030405044.21
MinAvgMax2 x EPYC 776381.66215.7482.47OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D2 x EPYC 77632K4K6K8K10KSE +/- 22.40, N = 410736.771. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D2 x EPYC 776361218243027.38
MinAvgMax2 x EPYC 776381.61392.2521.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C2 x EPYC 776330K60K90K120K150KSE +/- 403.59, N = 6120440.041. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C2 x EPYC 776390180270360450421.74
MinAvgMax2 x EPYC 776381.43285.6515.86OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.D2 x EPYC 776310002000300040005000SE +/- 25.73, N = 54460.841. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.D2 x EPYC 77634812162014.19
MinAvgMax2 x EPYC 776382.64314.5521.11OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C2 x EPYC 776360K120K180K240K300KSE +/- 807.48, N = 5288799.041. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C2 x EPYC 77632004006008001000842.20
MinAvgMax2 x EPYC 776382.72342.9525.88OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C2 x EPYC 776320K40K60K80K100KSE +/- 385.78, N = 7102771.231. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C2 x EPYC 7763100200300400500457.92
MinAvgMax2 x EPYC 776382.32224.4439.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x EPYC 776330K60K90K120K150KSE +/- 1012.24, N = 7149338.711. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x EPYC 7763120240360480600560.65
MinAvgMax2 x EPYC 776382.47266.4543.65OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.C2 x EPYC 776320K40K60K80K100KSE +/- 481.83, N = 4116234.761. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.C2 x EPYC 776370140210280350306.24
MinAvgMax2 x EPYC 776381.82379.6503.41OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: Small2 x EPYC 77636K12K18K24K30KSE +/- 245.68, N = 426535.11. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: Small2 x EPYC 77632040608010098.00
MinAvgMax2 x EPYC 776382.49270.8422.04OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption Monitor110220330440550

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics2 x EPYC 776348121620SE +/- 0.42, N = 1516.121. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
MinAvgMax2 x EPYC 776382.21330.6406.59OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeafCPU Power Consumption Monitor110220330440550

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD2 x EPYC 7763612182430SE +/- 0.13, N = 323.661. (CXX) g++ options: -O2 -lOpenCL
MinAvgMax2 x EPYC 776381.15395.2538.1OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte2 x EPYC 77631224364860SE +/- 0.40, N = 351.621. (CXX) g++ options: -O2 -lOpenCL
MinAvgMax2 x EPYC 776381.87254.2283.49OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver2 x EPYC 7763246810SE +/- 0.018, N = 76.1881. (CXX) g++ options: -O2 -lOpenCL
MinAvgMax2 x EPYC 776382.13241.5412.82OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor110220330440550

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster2 x EPYC 7763246810SE +/- 0.116, N = 157.4891. (CXX) g++ options: -O2 -lOpenCL
MinAvgMax2 x EPYC 776381.76219.6335.46OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor80160240320400

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms2 x EPYC 77630.05050.1010.15150.2020.2525SE +/- 0.00164, N = 40.22456
MinAvgMax2 x EPYC 776382.02438.4560.91OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor140280420560700

toyBrot Fractal Generator

ToyBrot is a Mandelbrot fractal generator supporting C++ threads/tasks, OpenMP, Intel Threaded Building Blocks (TBB), and other targets. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBB2 x EPYC 77637001400210028003500SE +/- 28.86, N = 934931. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
MinAvgMax2 x EPYC 776381.81296.6565.65OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMP2 x EPYC 77639001800270036004500SE +/- 37.08, N = 1543271. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
MinAvgMax2 x EPYC 776382.29293.6568.68OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ Tasks2 x EPYC 77638001600240032004000SE +/- 19.33, N = 838671. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
MinAvgMax2 x EPYC 776381.49293.2564.06OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ Threads2 x EPYC 77638001600240032004000SE +/- 17.86, N = 936791. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
MinAvgMax2 x EPYC 776382.89295.5562.81OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.22 x EPYC 7763400M800M1200M1600M2000MSE +/- 1375840.15, N = 319254586671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.22 x EPYC 77631.1M2.2M3.3M4.4M5.5M5036688.65
MinAvgMax2 x EPYC 776382.59382.3488.82OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor130260390520650

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbig2 x EPYC 77631.17822.35643.53464.71285.891SE +/- 0.035443, N = 55.2365541. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
MinAvgMax2 x EPYC 776382.47310.2513.57OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbig2 x EPYC 77630.75211.50422.25633.00843.7605SE +/- 0.062888, N = 153.3424981. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
MinAvgMax2 x EPYC 776381.96285.2542.54OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor140280420560700

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 Buckyball2 x EPYC 77634008001200160020001837.91. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 83.05 / Avg: 453.84 / Max: 553.99

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3d2 x EPYC 776360120180240300SE +/- 0.12, N = 3297.671. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
MinAvgMax2 x EPYC 776382.35455.7495.33OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction2 x EPYC 77630.61271.22541.83812.45083.0635SE +/- 0.05008949, N = 152.722974191. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
MinAvgMax2 x EPYC 776382.44258.4471.45OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor120240360480600

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction2 x EPYC 77633691215SE +/- 0.02, N = 411.091. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
MinAvgMax2 x EPYC 776383.12346.6466.88OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor120240360480600

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M2 x EPYC 776348121620SE +/- 0.10, N = 314.901. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
MinAvgMax2 x EPYC 776381.98316.0525.65OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M2 x EPYC 776320406080100SE +/- 0.25, N = 390.141. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
MinAvgMax2 x EPYC 776381.56324.4465.29OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor120240360480600

Quantum ESPRESSO

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF1122 x EPYC 77632004006008001000SE +/- 6.05, N = 3973.021. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 82.2 / Avg: 321.72 / Max: 538.01

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms2 x EPYC 7763816243240SE +/- 0.03, N = 335.081. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms2 x EPYC 77630.01620.03240.04860.06480.0810.072
MinAvgMax2 x EPYC 776382.65485.8505OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein2 x EPYC 7763714212835SE +/- 0.38, N = 1531.331. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein2 x EPYC 77630.03330.06660.09990.13320.16650.148
MinAvgMax2 x EPYC 776381.75211.3443.53OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor120240360480600

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.32 x EPYC 77638K16K24K32K40KSE +/- 316.92, N = 336927.241. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.32 x EPYC 776320406080100103.14
MinAvgMax2 x EPYC 776382.39358.0529.08OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor130260390520650

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmlrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1M2 x EPYC 776312K24K36K48K60KSE +/- 101.74, N = 356612.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1M2 x EPYC 7763306090120150124.54
MinAvgMax2 x EPYC 776382.26454.6568.25OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1M2 x EPYC 776310K20K30K40K50KSE +/- 160.51, N = 348176.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1M2 x EPYC 776320406080100108.21
MinAvgMax2 x EPYC 776381.96445.2540.98OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor140280420560700

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: Blowfish2 x EPYC 776340K80K120K160K200KSE +/- 2546.43, N = 31832341. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: Blowfish2 x EPYC 776380160240320400379.49
MinAvgMax2 x EPYC 776381.92482.8554.35OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD52 x EPYC 77632M4M6M8M10MSE +/- 109447.60, N = 3107633331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD52 x EPYC 77635K10K15K20K25K22207.25
MinAvgMax2 x EPYC 776381.68484.7544.97OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor140280420560700

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: CPU2 x EPYC 776348121620SE +/- 0.33, N = 1514.33MIN: 11.8 / MAX: 18.81
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: CPU2 x EPYC 77630.00630.01260.01890.02520.03150.028
MinAvgMax2 x EPYC 776381.63507.1570.38OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: CPU2 x EPYC 7763246810SE +/- 0.13, N = 158.78MIN: 3.1 / MAX: 11.67
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: CPU2 x EPYC 77630.00430.00860.01290.01720.02150.019
MinAvgMax2 x EPYC 776381.85465.1554.82OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: CPU2 x EPYC 7763510152025SE +/- 0.28, N = 1521.66MIN: 17.86 / MAX: 29.24
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: CPU2 x EPYC 77630.00970.01940.02910.03880.04850.043
MinAvgMax2 x EPYC 776381.72508.3572.78OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: CPU2 x EPYC 7763246810SE +/- 0.11, N = 158.65MIN: 2.95 / MAX: 11.34
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: CPU2 x EPYC 77630.00430.00860.01290.01720.02150.019
MinAvgMax2 x EPYC 776381.83447.0542.98OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: CPU2 x EPYC 7763510152025SE +/- 0.90, N = 1518.40MIN: 14.52 / MAX: 25.25
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: CPU2 x EPYC 77630.01490.02980.04470.05960.07450.066
MinAvgMax2 x EPYC 776382.5278.5414.74OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor110220330440550

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Swirl2 x EPYC 77635001000150020002500SE +/- 14.11, N = 323061. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Swirl2 x EPYC 77632468106.064
MinAvgMax2 x EPYC 776381.8380.3408.34OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor110220330440550

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Rotate2 x EPYC 7763120240360480600SE +/- 0.88, N = 35691. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Rotate2 x EPYC 77630.73491.46982.20472.93963.67453.266
MinAvgMax2 x EPYC 776382.12174.2181.18OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Sharpen2 x EPYC 77632004006008001000SE +/- 0.88, N = 38841. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Sharpen2 x EPYC 77630.43560.87121.30681.74242.1781.936
MinAvgMax2 x EPYC 776382.35456.6493.4OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Enhanced2 x EPYC 776330060090012001500SE +/- 4.26, N = 314681. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Enhanced2 x EPYC 77630.74521.49042.23562.98083.7263.312
MinAvgMax2 x EPYC 776381.63443.2476.45OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor120240360480600

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian2 x EPYC 7763130260390520650SE +/- 1.53, N = 35821. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian2 x EPYC 77630.49460.98921.48381.97842.4732.198
MinAvgMax2 x EPYC 776383.04264.7290.76OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space2 x EPYC 7763140280420560700SE +/- 4.51, N = 36531. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space2 x EPYC 77630.65091.30181.95272.60363.25452.893
MinAvgMax2 x EPYC 776382.43225.7240.12OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor60120180240300

dav1d

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.0Video Input: Summer Nature 4K2 x EPYC 7763130260390520650SE +/- 6.89, N = 3592.79MIN: 129.05 / MAX: 711.811. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.9.0Video Input: Summer Nature 4K2 x EPYC 77630.73641.47282.20922.94563.6823.273
MinAvgMax2 x EPYC 776382.5181.1455.16OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.0CPU Power Consumption Monitor120240360480600

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.0Video Input: Chimera 1080p 10-bit2 x EPYC 77632004006008001000SE +/- 1.69, N = 31143.60MIN: 481.57 / MAX: 1388.521. (CC) gcc options: -pthread -lm
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.9.0Video Input: Chimera 1080p 10-bit2 x EPYC 77632468107.593
OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.0CPU Power Consumption Monitor2 x EPYC 776360120180240300Min: 73.86 / Avg: 150.62 / Max: 346.93

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow Mapping2 x EPYC 7763110220330440550SE +/- 11.48, N = 15527.531. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS Per Watt, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow Mapping2 x EPYC 77630.40970.81941.22911.63882.04851.821
MinAvgMax2 x EPYC 776382.03289.7322.09OpenBenchmarking.orgWatts, Fewer Is BetterTTSIOD 3D Renderer 2.3bCPU Power Consumption Monitor80160240320400

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Crown2 x EPYC 776320406080100SE +/- 0.11, N = 6110.70MIN: 99.55 / MAX: 124.02
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Crown2 x EPYC 77630.06820.13640.20460.27280.3410.303
MinAvgMax2 x EPYC 776382.59365.5571.39OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crown2 x EPYC 776320406080100SE +/- 0.10, N = 6100.66MIN: 92.79 / MAX: 113.68
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crown2 x EPYC 77630.06080.12160.18240.24320.3040.27
MinAvgMax2 x EPYC 776382.37373.0569.72OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon2 x EPYC 77631632486480SE +/- 0.50, N = 1571.54MIN: 64.78 / MAX: 78.4
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon2 x EPYC 77630.04430.08860.13290.17720.22150.197
MinAvgMax2 x EPYC 776382.79362.5503.41OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon Obj2 x EPYC 77631326395265SE +/- 0.14, N = 359.53MIN: 56.12 / MAX: 66.22
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon Obj2 x EPYC 77630.04880.09760.14640.19520.2440.217
MinAvgMax2 x EPYC 776382.5274.1487.27OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon2 x EPYC 77631530456075SE +/- 0.62, N = 1567.61MIN: 60.91 / MAX: 74.47
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon2 x EPYC 77630.04070.08140.12210.16280.20350.181
MinAvgMax2 x EPYC 776382.61374.3519.73OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon Obj2 x EPYC 77631326395265SE +/- 0.40, N = 1558.94MIN: 53.57 / MAX: 65.84
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon Obj2 x EPYC 77630.04680.09360.14040.18720.2340.208
MinAvgMax2 x EPYC 776382.69283.5515.19OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast2 x EPYC 77631224364860SE +/- 0.43, N = 555.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast2 x EPYC 77630.04010.08020.12030.16040.20050.178
MinAvgMax2 x EPYC 776382.72310.8465.65OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor120240360480600

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast2 x EPYC 77631326395265SE +/- 0.34, N = 559.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast2 x EPYC 77630.0520.1040.1560.2080.260.231
MinAvgMax2 x EPYC 776382.48255.8341OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor80160240320400

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4K2 x EPYC 77631.14032.28063.42094.56125.7015SE +/- 0.019, N = 35.0681. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4K2 x EPYC 77630.00430.00860.01290.01720.02150.019
MinAvgMax2 x EPYC 776382.49261.5415.35OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor110220330440550

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4K2 x EPYC 77631428425670SE +/- 0.41, N = 1562.101. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4K2 x EPYC 77630.05540.11080.16620.22160.2770.246
MinAvgMax2 x EPYC 776382.18252.2438.41OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor110220330440550

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p2 x EPYC 77631224364860SE +/- 0.40, N = 1555.171. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p2 x EPYC 77630.03510.07020.10530.14040.17550.156
MinAvgMax2 x EPYC 776381.98352.8534.79OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p2 x EPYC 776370140210280350SE +/- 2.19, N = 10337.871. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p2 x EPYC 77630.45560.91121.36681.82242.2782.025
MinAvgMax2 x EPYC 776381.37166.9377.59OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p2 x EPYC 7763130260390520650SE +/- 3.93, N = 11596.091. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p2 x EPYC 77630.96011.92022.88033.84044.80054.267
MinAvgMax2 x EPYC 776381.75139.7339.73OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor80160240320400

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p2 x EPYC 7763100200300400500SE +/- 5.37, N = 15460.251. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p2 x EPYC 77630.68221.36442.04662.72883.4113.032
MinAvgMax2 x EPYC 776381.64151.8343.01OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor80160240320400

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p2 x EPYC 7763100200300400500SE +/- 2.47, N = 9459.911. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p2 x EPYC 77630.67521.35042.02562.70083.3763.001
MinAvgMax2 x EPYC 776381.37153.2345.44OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p2 x EPYC 776380160240320400SE +/- 0.89, N = 8352.071. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p2 x EPYC 77630.50671.01341.52012.02682.53352.252
MinAvgMax2 x EPYC 776370.05156.3337.53OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor80160240320400

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K2 x EPYC 7763612182430SE +/- 0.21, N = 1524.821. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4K2 x EPYC 77630.02320.04640.06960.09280.1160.103
MinAvgMax2 x EPYC 776381.99240.5308.81OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor80160240320400

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point Rate2 x EPYC 7763918273645SE +/- 0.28, N = 1538.141. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point Rate2 x EPYC 77630.02520.05040.07560.10080.1260.112
MinAvgMax2 x EPYC 776382.51341.4573.12OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor140280420560700

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x21602 x EPYC 77630.56931.13861.70792.27722.8465SE +/- 0.01, N = 42.53
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x21602 x EPYC 77630.0020.0040.0060.0080.010.009
MinAvgMax2 x EPYC 776382.3286.8511.86OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x21602 x EPYC 77630.57831.15661.73492.31322.8915SE +/- 0.01, N = 42.57
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x21602 x EPYC 77630.0020.0040.0060.0080.010.009
MinAvgMax2 x EPYC 776383.36290.9513.06OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x40962 x EPYC 77630.28130.56260.84391.12521.4065SE +/- 0.00, N = 31.25
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x40962 x EPYC 77630.00090.00180.00270.00360.00450.004
MinAvgMax2 x EPYC 776382.2317.3506.95OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor130260390520650

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark2 x EPYC 7763130260390520650SE +/- 6.72, N = 4603MIN: 1 / MAX: 1751
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark2 x EPYC 77630.57741.15481.73222.30962.8872.566
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 82.64 / Avg: 234.97 / Max: 572.93

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolume2 x EPYC 77635M10M15M20M25MSE +/- 140542.44, N = 323015684MIN: 826242 / MAX: 134439120
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolume2 x EPYC 776330K60K90K120K150K138628.42
MinAvgMax2 x EPYC 776383.23166.0291.33OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolume2 x EPYC 776320M40M60M80M100MSE +/- 857112.13, N = 3109870381MIN: 940807 / MAX: 1183908672
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolume2 x EPYC 7763140K280K420K560K700K631842.95
MinAvgMax2 x EPYC 776382.6173.9301.14OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor80160240320400

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second2 x EPYC 7763700K1400K2100K2800K3500KSE +/- 43082.17, N = 33236345.091. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second2 x EPYC 77632K4K6K8K10K9537.4
MinAvgMax2 x EPYC 776382.56339.3461.2OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor120240360480600

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed Test2 x EPYC 7763110K220K330K440K550KSE +/- 3107.07, N = 154985611. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 16.02Compress Speed Test2 x EPYC 7763300600900120015001494.89
OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 16.02CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 81.45 / Avg: 333.51 / Max: 572.67

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total Time2 x EPYC 776370M140M210M280M350MSE +/- 623832.94, N = 33122308951. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 13Total Time2 x EPYC 7763150K300K450K600K750K690302.48
MinAvgMax2 x EPYC 776381.88452.3570.79OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor140280420560700

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth2 x EPYC 776360M120M180M240M300MSE +/- 2669339.16, N = 7293793395
OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth2 x EPYC 7763120K240K360K480K600K543167.01
MinAvgMax2 x EPYC 776382.36540.9570.77OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor140280420560700

ebizzy

This is a test of ebizzy, a program to generate workloads resembling web server workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.32 x EPYC 7763700K1400K2100K2800K3500KSE +/- 33675.96, N = 531131421. (CC) gcc options: -pthread -lpthread -O3 -march=native
OpenBenchmarking.orgRecords/s Per Watt, More Is Betterebizzy 0.32 x EPYC 7763160032004800640080007371.59
MinAvgMax2 x EPYC 776382.09422.3493.42OpenBenchmarking.orgWatts, Fewer Is Betterebizzy 0.3CPU Power Consumption Monitor130260390520650

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, Lossless2 x EPYC 7763714212835SE +/- 0.01, N = 329.281. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMax2 x EPYC 776382.63203.1300.95OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor80160240320400

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile2 x EPYC 7763510152025SE +/- 0.01, N = 320.32
MinAvgMax2 x EPYC 776382.59158.5200.96OpenBenchmarking.orgWatts, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Power Consumption Monitor50100150200250

Timed FFmpeg Compilation

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To Compile2 x EPYC 776348121620SE +/- 0.04, N = 414.72
MinAvgMax2 x EPYC 776381.6230.8572.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.4CPU Power Consumption Monitor140280420560700

Timed GDB GNU Debugger Compilation

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To Compile2 x EPYC 77631020304050SE +/- 0.29, N = 345.67
MinAvgMax2 x EPYC 776381.93192.7573.14OpenBenchmarking.orgWatts, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2CPU Power Consumption Monitor140280420560700

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile2 x EPYC 77631224364860SE +/- 0.41, N = 351.99
MinAvgMax2 x EPYC 776381.81246.4561.24OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor140280420560700

Timed ImageMagick Compilation

This test times how long it takes to build ImageMagick. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To Compile2 x EPYC 77633691215SE +/- 0.04, N = 411.59
MinAvgMax2 x EPYC 776382.5187.9534.08OpenBenchmarking.orgWatts, Fewer Is BetterTimed ImageMagick Compilation 6.9.0CPU Power Consumption Monitor140280420560700

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To Compile2 x EPYC 7763510152025SE +/- 0.14, N = 1218.31
MinAvgMax2 x EPYC 776382.5262.4574.89OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Power Consumption Monitor140280420560700

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Ninja2 x EPYC 776320406080100SE +/- 0.49, N = 398.26
MinAvgMax2 x EPYC 776381.97356.3572.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix Makefiles2 x EPYC 77634080120160200SE +/- 0.57, N = 3177.23
MinAvgMax2 x EPYC 776383.4295.2571.62OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor140280420560700

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile2 x EPYC 776348121620SE +/- 0.03, N = 316.90
MinAvgMax2 x EPYC 776382.16215.5573.44OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor140280420560700

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile2 x EPYC 77631632486480SE +/- 0.30, N = 373.15
MinAvgMax2 x EPYC 776381.48346.7572.58OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption Monitor140280420560700

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To Compile2 x EPYC 7763816243240SE +/- 0.13, N = 335.23
MinAvgMax2 x EPYC 776382.55184.8564.05OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Power Consumption Monitor140280420560700

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile2 x EPYC 77631224364860SE +/- 0.09, N = 354.25
MinAvgMax2 x EPYC 776383.57235.8571.78OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.13CPU Power Consumption Monitor140280420560700

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per Pixel2 x EPYC 77631.3122.6243.9365.2486.56SE +/- 0.037, N = 75.8311. (CC) gcc options: -lm -lpthread -O3
MinAvgMax2 x EPYC 776381.49340.8559.75OpenBenchmarking.orgWatts, Fewer Is BetterC-Ray 1.1CPU Power Consumption Monitor140280420560700

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace Time2 x EPYC 7763246810SE +/- 0.038, N = 57.2601. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
MinAvgMax2 x EPYC 776382.01259.5546.57OpenBenchmarking.orgWatts, Fewer Is BetterPOV-Ray 3.7.0.7CPU Power Consumption Monitor140280420560700

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 7.41e12 Prime Number Generation2 x EPYC 77630.54181.08361.62542.16722.709SE +/- 0.005, N = 102.4081. (CXX) g++ options: -O3 -lpthread
MinAvgMax2 x EPYC 776381.28240.7553.89OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 7.4CPU Power Consumption Monitor140280