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
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs
No Box Plots

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
2 x EPYC 7763
June 13
  11 Hours, 11 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):


server-cpus-june-2021 OpenBenchmarking.orgPhoronix Test Suite 10.6.02 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 gromacs: MPI CPU - water_GMX50_bareaskap: Hogbom Clean OpenMPaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MT - Griddingliquid-dsp: 160 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 64 - 256 - 57cpuminer-opt: LBC, LBRY Creditscpuminer-opt: Skeincoincpuminer-opt: Garlicoincpuminer-opt: Deepcoincpuminer-opt: x25xcpuminer-opt: Magiaircrack-ng: openssl: RSA 4096-bit Performancewebp2: Quality 100, Lossless Compressionwebp2: Quality 100, Compression Effort 5webp2: Quality 95, Compression Effort 7webp2: Quality 75, Compression Effort 7tachyon: Total Timem-queens: Time To Solvebuild-wasmer: Time To Compileonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - f32 - CPUrays1bench: Large Sceneyafaray: Total Time For Sample Sceneprimesieve: 1e12 Prime Number Generationpovray: Trace Timec-ray: Total Time - 4K, 16 Rays Per Pixelbuild2: Time To Compilebuild-php: Time To Compilebuild-nodejs: Time To Compilebuild-mesa: Time To Compilebuild-llvm: Unix Makefilesbuild-llvm: Ninjabuild-linux-kernel: Time To Compilebuild-imagemagick: Time To Compilebuild-godot: Time To Compilebuild-gdb: Time To Compilebuild-ffmpeg: Time To Compilebuild-apache: Time To Compileavifenc: 6, Losslessebizzy: asmfish: 1024 Hash Memory, 26 Depthstockfish: Total Timecompress-7zip: Compress Speed Testcoremark: CoreMark Size 666 - Iterations Per Secondopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkVdbVolumeopenvkl: vklBenchmarkoidn: RTLightmap.hdr.4096x4096oidn: RT.ldr_alb_nrm.3840x2160oidn: RT.hdr_alb_nrm.3840x2160mt-dgemm: Sustained Floating-Point Ratex265: Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 4K - Very Fastembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Crownembree: Pathtracer - Crowndav1d: Chimera 1080p 10-bitdav1d: Summer Nature 4Kgraphics-magick: HWB Color Spacegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpengraphics-magick: Rotategraphics-magick: Swirlluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - CPUjohn-the-ripper: MD5john-the-ripper: Blowfishxmrig: Wownero - 1Mxmrig: Monero - 1Mlulesh: lammps: Rhodopsin Proteinlammps: 20k Atomsqe: AUSURF112openfoam: Motorbike 60Mopenfoam: Motorbike 30Mincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dnwchem: C240 Buckyballpennant: sedovbigamg: toybrot: C++ Threadstoybrot: C++ Taskstoybrot: OpenMPtoybrot: TBBnamd: ATPase Simulation - 327,506 Atomsrodinia: OpenMP Streamclusterrodinia: OpenMP CFD Solverrodinia: OpenMP Leukocyterodinia: OpenMP LavaMDminife: Smallnpb: SP.Cnpb: SP.Bnpb: MG.Cnpb: LU.Cnpb: IS.Dnpb: FT.Cnpb: EP.Dnpb: EP.Cnpb: CG.Cnpb: BT.Ctensorflow-lite: SqueezeNetaskap: tConvolve MT - Degriddingcpuminer-opt: Myriad-Groestlcpuminer-opt: Blake-2 Shelsing: 14 digitonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUttsiod-renderer: Phong Rendering With Soft-Shadow Mappingluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: DLSC - CPUincompact3d: input.i3d 129 Cells Per Directionpennant: leblancbigcloverleaf: Lagrangian-Eulerian Hydrodynamics2 x EPYC 776310.141320.6245984.045171.5147712.444990.16000.315902333333583073333331106333335157331124649286801121404336.286099.30414388.80228464.5388.7606.963227.807121.6848.98896.24441.7830.7064123334.590.4884563319.373330.400.8422583.3246126.61020.5861351.063311.570484.724041.80828554.1550.2632.4087.2605.83154.24935.23073.15016.899177.23298.25518.30611.58651.98745.66614.71920.32029.27831131422937933953122308954985613236345.093404109870381230156846031.252.572.5338.13964824.82352.07459.91460.25596.09337.8755.1762.1015.06859.0855.4358.939167.613659.528471.5382100.6551110.70061143.60592.79653582146888456923068.6521.668.781076333318323448176.056612.736927.23531.32635.084973.0290.1414.9011.0900421297.6698001837.95.236554192545866736793867432734930.224567.4896.18851.61823.65826535.1116234.76149338.71102771.23288799.044460.84120440.0410736.779537.2348175.52257264.2453389.410480.312387804077053122.8521385.481332.191464.790.7302050.848820527.53018.4014.332.722974193.34249816.12OpenBenchmarking.org

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bare2 x EPYC 77633691215SE +/- 0.07, N = 310.141. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bare2 x EPYC 77630.0050.010.0150.020.0250.022
MinAvgMax2 x EPYC 776383.11450.9560.03OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption Monitor140280420560700

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMP2 x EPYC 776370140210280350SE +/- 3.47, N = 4320.621. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgIterations Per Second Per Watt, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMP2 x EPYC 77630.40640.81281.21921.62562.0321.806
MinAvgMax2 x EPYC 776382.34177.5357.61OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Degridding2 x EPYC 776313002600390052006500SE +/- 38.82, N = 45984.041. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Degridding2 x EPYC 776391827364537.78
MinAvgMax2 x EPYC 776382.73158.4268.97OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor70140210280350

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Gridding2 x EPYC 776311002200330044005500SE +/- 51.20, N = 45171.511. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Gridding2 x EPYC 776310K20K30K40K50KSE +/- 313.07, N = 347712.41. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - Gridding2 x EPYC 7763306090120150123.01
MinAvgMax2 x EPYC 776382.62387.9562.83OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Degridding2 x EPYC 776310K20K30K40K50KSE +/- 423.01, N = 344990.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Gridding2 x EPYC 776313002600390052006500SE +/- 2.16, N = 36000.311. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 572 x EPYC 77631300M2600M3900M5200M6500MSE +/- 3371613.53, N = 359023333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 572 x EPYC 77633M6M9M12M15M13016160.24
MinAvgMax2 x EPYC 776381.61453.5536.12OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 572 x EPYC 77631200M2400M3600M4800M6000MSE +/- 3169822.99, N = 358307333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 572 x EPYC 77633M6M9M12M15M12615116.14
MinAvgMax2 x EPYC 776381.74462.2543.67OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor140280420560700

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 572 x EPYC 7763700M1400M2100M2800M3500MSE +/- 4437842.32, N = 331106333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 572 x EPYC 77632M4M6M8M10M9297794.92
MinAvgMax2 x EPYC 776382.48334.6414.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor110220330440550

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: LBC, LBRY Credits2 x EPYC 7763110K220K330K440K550KSE +/- 6048.06, N = 35157331. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: LBC, LBRY Credits2 x EPYC 776370014002100280035003265.44
MinAvgMax2 x EPYC 776382.16157.9173.01OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Skeincoin2 x EPYC 7763200K400K600K800K1000KSE +/- 17000.09, N = 1511246491. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Skeincoin2 x EPYC 7763160032004800640080007272.60
MinAvgMax2 x EPYC 776381.1154.6170.99OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor50100150200250

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Garlicoin2 x EPYC 77636K12K18K24K30KSE +/- 116.76, N = 3286801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Garlicoin2 x EPYC 7763306090120150157.59
MinAvgMax2 x EPYC 776383.07182.0369.93OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Deepcoin2 x EPYC 776320K40K60K80K100KSE +/- 1493.99, N = 121121401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Deepcoin2 x EPYC 7763140280420560700671.32
MinAvgMax2 x EPYC 776382.61167.0232.37OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25x2 x EPYC 77639001800270036004500SE +/- 51.41, N = 44336.281. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25x2 x EPYC 776351015202519.17
MinAvgMax2 x EPYC 776382.72226.2386.53OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Magi2 x EPYC 776313002600390052006500SE +/- 52.03, N = 136099.301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Magi2 x EPYC 776371421283528.49
MinAvgMax2 x EPYC 776382.31214.1350.88OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor100200300400500

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.22 x EPYC 776390K180K270K360K450KSE +/- 159.71, N = 3414388.801. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.5.22 x EPYC 77632004006008001000881.11
MinAvgMax2 x EPYC 776381.88470.3529.72OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.5.2CPU Power Consumption Monitor130260390520650

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performance2 x EPYC 77636K12K18K24K30KSE +/- 0.99, N = 328464.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second Per Watt, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performance2 x EPYC 7763132639526559.57
MinAvgMax2 x EPYC 776381.65477.9563.78OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 1.1.1CPU Power Consumption Monitor140280420560700

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Lossless Compression2 x EPYC 776380160240320400SE +/- 0.24, N = 3388.761. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
MinAvgMax2 x EPYC 776380.94220.7240.47OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Compression Effort 52 x EPYC 7763246810SE +/- 0.014, N = 66.9631. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
MinAvgMax2 x EPYC 776381.67181.7251.24OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 95, Compression Effort 72 x EPYC 776350100150200250SE +/- 0.85, N = 3227.811. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
MinAvgMax2 x EPYC 776381.58217.2238.89OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor60120180240300

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 75, Compression Effort 72 x EPYC 7763306090120150SE +/- 0.53, N = 3121.681. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
MinAvgMax2 x EPYC 776381.8215.8235.25OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor60120180240300

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total Time2 x EPYC 77633691215SE +/- 0.0972, N = 158.98891. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
MinAvgMax2 x EPYC 776382.38368.9558.04OpenBenchmarking.orgWatts, Fewer Is BetterTachyon 0.99b6CPU Power Consumption Monitor140280420560700

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To Solve2 x EPYC 7763246810SE +/- 0.011, N = 76.2441. (CXX) g++ options: -fopenmp -O2 -march=native
MinAvgMax2 x EPYC 776382.13332.0510.41OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor130260390520650

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 1.0.2Time To Compile2 x EPYC 77631020304050SE +/- 0.27, N = 341.781. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc
MinAvgMax2 x EPYC 776382.12205.1326.94OpenBenchmarking.orgWatts, Fewer Is BetterTimed Wasmer Compilation 1.0.2CPU Power Consumption Monitor80160240320400

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.15890.31780.47670.63560.7945SE +/- 0.008059, N = 40.706412MIN: 0.611. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776383.35283.2434.97OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU2 x EPYC 77637001400210028003500SE +/- 34.08, N = 33334.59MIN: 3036.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776383.44349.2416.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU2 x EPYC 77630.10990.21980.32970.43960.5495SE +/- 0.003185, N = 150.488456MIN: 0.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776382.68273.1395OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77637001400210028003500SE +/- 22.25, N = 33319.37MIN: 3090.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776382.35349.0416.35OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU2 x EPYC 77637001400210028003500SE +/- 12.03, N = 33330.40MIN: 3097.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776382.83349.1415.39OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.18950.3790.56850.7580.9475SE +/- 0.006220, N = 150.842258MIN: 0.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776383.07315.1474.46OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor120240360480600

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU2 x EPYC 77630.7481.4962.2442.9923.74SE +/- 0.02376, N = 93.32461MIN: 2.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776382.55203.9368.77OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU2 x EPYC 7763612182430SE +/- 0.34, N = 326.61MIN: 18.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776382.95289.5408.68OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU2 x EPYC 77630.13190.26380.39570.52760.6595SE +/- 0.004578, N = 70.586135MIN: 0.521. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776382.3288.6485.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor130260390520650

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.23920.47840.71760.95681.196SE +/- 0.00834, N = 51.06331MIN: 0.881. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776383.55238.8362.73OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.35340.70681.06021.41361.767SE +/- 0.00915, N = 41.57048MIN: 1.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776382.76282.5383.52OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU2 x EPYC 77631.06292.12583.18874.25165.3145SE +/- 0.02745, N = 54.72404MIN: 3.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776382.72238.3357.73OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU2 x EPYC 77630.40690.81381.22071.62762.0345SE +/- 0.00936, N = 41.80828MIN: 1.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
MinAvgMax2 x EPYC 776381.96303.1495.03OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor130260390520650

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large Scene2 x EPYC 7763120240360480600SE +/- 0.90, N = 9554.15
OpenBenchmarking.orgmrays/s Per Watt, More Is Betterrays1bench 2020-01-09Large Scene2 x EPYC 77630.68331.36662.04992.73323.41653.037
MinAvgMax2 x EPYC 776381.77182.4493.14OpenBenchmarking.orgWatts, Fewer Is Betterrays1bench 2020-01-09CPU Power Consumption Monitor130260390520650

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample Scene2 x EPYC 77631122334455SE +/- 0.39, N = 1550.261. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
MinAvgMax2 x EPYC 776381.4333.7418.65OpenBenchmarking.orgWatts, Fewer Is BetterYafaRay 3.4.1CPU Power Consumption Monitor110220330440550

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 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

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

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

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

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 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 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: 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

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

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 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 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 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 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 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

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

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

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

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

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

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

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: 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

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: 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

Intel Open Image Denoise

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

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: 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

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

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

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: 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

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: 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

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: 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

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: 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

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 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

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

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: 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

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

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 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

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 - 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 - 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 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: 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

dav1d

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

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

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: 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

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: 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: 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: 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: 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

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: 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: 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: 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

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: 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

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

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: 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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1M2 x EPYC 776312K24K36K48K60K