AMD EPYC 7F72 2P Linux 5.11 - Perf Governor

2 x AMD EPYC 7F72 24-Core testing looking at CPU freq invariance on 5.11 with patch. CPU power consumption monitoring via AMD_Energy interface at 1 second polling. Additional data with CPUFreq performance governor included.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101273-SYST-210125309
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CPUFreq Schedutil
January 23
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AMD EPYC 7F72 2P Linux 5.11 - Perf GovernorOpenBenchmarking.orgPhoronix Test Suite 10.4.0m12 x AMD EPYC 7F72 24-Core @ 3.20GHz (48 Cores / 96 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse16 x 8192 MB DDR4-3200MT/s HMA81GR7CJR8N-XN1000GB Western Digital WD_BLACK SN850 1TBASPEEDVE2282 x Intel 10G X550TUbuntu 20.105.11.0-rc4-max-boost-inv-patch (x86_64) 20210121GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.9GCC 10.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionAMD EPYC 7F72 2P Linux 5.11 - Perf Governor BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- CPUFreq Schedutil: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034 - CPUFreq Performance: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034 - OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- Python 3.8.6- 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

CPUFreq Schedutil vs. CPUFreq Performance ComparisonPhoronix Test Suite 10.4.0m1Baseline+10.9%+10.9%+21.8%+21.8%+32.7%+32.7%+43.6%+43.6%43.7%41.5%39.6%36.4%33.3%26%19.7%17.7%14.5%14.2%11.4%9%8.9%8.3%6.2%5.1%4.4%4.4%4.3%4.2%4%3.6%3.6%3.2%3.2%3%2.9%2.8%2.8%2.7%2.7%2.5%2.2%2.1%SkeincoinQ.S.2.PLBC, LBRY CreditsC.1.1.bM.R - Path TracerBosphorus 1080pTradebeans4 - 10000 - 2,5000,1 - 10000Summer Nature 4KH2TradesoapR.N.N.T - f32 - CPU11.1%Time To Compile2MB64 - 10000 - 2,5000,1 - 10000AUSURF1126.7%36.4%D.T.SVMAF Optimized - Bosphorus 1080p5.2%Bosphorus 4KV.Q.O - Bosphorus 1080p4.6%IP Shapes 3D - f32 - CPUOpenMP CFD SolverDevice AI ScoreGET10tConvolve MPI - Degridding3.9%P.P.S3.7%8MBRhodopsin ProteinMD5D.I.SCPULargeRandLPUSHOpenMP Leukocyte6CPU - MobileNet v22.5%53 - D.S2.5%P.S.O - Bosphorus 1080p2.3%2.3%yolov4 - OpenMP CPUEnc Mode 4 - 1080p2.1%BLASCpuminer-OptCpuminer-OptCpuminer-Optdav1dOSPrayx265DaCapo BenchmarkInfluxDBdav1dDaCapo BenchmarkDaCapo BenchmarkoneDNNTimed GDB GNU Debugger CompilationIORInfluxDBQuantum ESPRESSOZstd CompressionAI Benchmark AlphaSVT-VP9x265SVT-VP9oneDNNRodiniaAI Benchmark AlphaRedisrav1eASKAPHimeno BenchmarkIORLAMMPS Molecular Dynamics SimulatorJohn The RipperAI Benchmark AlphaKeyDBChaos Group V-RAYsimdjsonRedisRodiniarav1eTNNrav1eLZ4 CompressionSVT-VP9LULESHONNX RuntimeSVT-AV1LeelaChessZeroCPUFreq SchedutilCPUFreq Performance

AMD EPYC 7F72 2P Linux 5.11 - Perf Governorqe: AUSURF112relion: Basic - CPUlczero: BLASfftw: Float + SSE - 2D FFT Size 4096svt-av1: Enc Mode 0 - 1080pplaidml: No - Inference - VGG19 - CPUplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Inference - VGG16 - CPUyafaray: Total Time For Sample Sceneblogbench: Readai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scorelczero: Eigenkeydb: lammps: 20k Atomsbrl-cad: VGR Performance Metrichint: FLOATtensorflow-lite: NASNet Mobileonnx: super-resolution-10 - OpenMP CPUnumpy: gcrypt: onednn: Recurrent Neural Network Training - f32 - CPUbuild-llvm: Time To Compileopenfoam: Motorbike 60Mtensorflow-lite: SqueezeNetv-ray: CPUjohn-the-ripper: MD5blender: Barbershop - CPU-Onlyasmfish: 1024 Hash Memory, 26 Depthcpuminer-opt: Garlicoinhpcg: cpuminer-opt: x25xcpuminer-opt: Skeincoincpuminer-opt: Quad SHA-256, Pyritetensorflow-lite: Inception ResNet V2onnx: yolov4 - OpenMP CPUbyte: Dhrystone 2influxdb: 4 - 10000 - 2,5000,1 - 10000neat: rodinia: OpenMP HotSpot3Dtensorflow-lite: Mobilenet Quantbuild-gdb: Time To Compilecompress-zstd: 3dav1d: Chimera 1080p 10-bitcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedinfluxdb: 64 - 10000 - 2,5000,1 - 10000ior: 8MB - Default Test Directorymrbayes: Primate Phylogeny Analysisbuild-linux-kernel: Time To Compileredis: SETttsiod-renderer: Phong Rendering With Soft-Shadow Mappinggnupg: 2.7GB Sample File Encryptionospray: San Miguel - Path Tracerdacapobench: Tradebeanstungsten: Water Causticsimdjson: Kostyasqlite-speedtest: Timed Time - Size 1,000build2: Time To Compilefinancebench: Bonds OpenMPdacapobench: H2onednn: Deconvolution Batch shapes_1d - f32 - CPUcompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedtensorflow-lite: Inception V4luxcorerender: DLSCluxcorerender: Rainbow Colors and Prismredis: GETgpaw: Carbon Nanotubetensorflow-lite: Mobilenet Floatbuild-godot: Time To Compilesimdjson: LargeRandhimeno: Poisson Pressure Solverrav1e: 5simdjson: PartialTweetsrav1e: 1simdjson: DistinctUserIDrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyteredis: SADDclomp: Static OMP Speedupfinancebench: Repo OpenMPastcenc: Exhaustivesvt-av1: Enc Mode 8 - 1080prav1e: 6ospray: San Miguel - SciVisgromacs: Water Benchmarkospray: XFrog Forest - Path Tracernpb: EP.Dquantlib: stockfish: Total Timex265: Bosphorus 1080pswet: Averageetcpak: ETC2dav1d: Summer Nature 4Kcpuminer-opt: LBC, LBRY Creditscompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingjohn-the-ripper: Blowfishsynthmark: VoiceMark_100x265: Bosphorus 4Kqmcpack: simple-H2Orodinia: OpenMP CFD Solverrav1e: 10openfoam: Motorbike 30Mcython-bench: N-Queensnamd: ATPase Simulation - 327,506 Atomsospray: XFrog Forest - SciVisior: 2MB - Default Test Directoryospray: NASA Streamlines - Path Tracertnn: CPU - MobileNet v2onednn: IP Shapes 1D - f32 - CPUsvt-av1: Enc Mode 4 - 1080petcpak: ETC1 + Ditheringamg: tachyon: Total Timetnn: CPU - SqueezeNet v1.1dolfyn: Computational Fluid Dynamicsnpb: LU.Credis: LPUSHetcpak: ETC1povray: Trace Timeastcenc: Thoroughtungsten: Volumetric Causticrodinia: OpenMP Streamclusterdacapobench: Tradesoaplulesh: onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUffte: N=256, 3D Complex FFT Routinesvt-vp9: Visual Quality Optimized - Bosphorus 1080ponednn: IP Shapes 3D - f32 - CPUospray: Magnetic Reconnection - SciVisonednn: Convolution Batch Shapes Auto - f32 - CPUoidn: Memorialtungsten: Hairospray: NASA Streamlines - SciVisdacapobench: Jythonsvt-vp9: VMAF Optimized - Bosphorus 1080pprimesieve: 1e12 Prime Number Generationnpb: EP.Csvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pospray: Magnetic Reconnection - Path Tracerlammps: Rhodopsin Proteintscp: AI Chess PerformanceCPUFreq SchedutilCPUFreq Performance1171.03348.2944061170150.09122.494.6325.4287.14311031182787106717204433294214.3725.077636521323144417.171971340444210323.00232.5421123.32208.786128.2862195.4534604612308156.831176329559949.8830.82621541.7636401729699573628518138319339.8812193.624.63396.60341034.092.9168270.5133.3748.9510666.01256112.1520.7282.04225.7521427348.10655.22577.1794.32559121.33290.5770.54067.32256769.45312552172.3329010489.847.768107507.808.761711621.5259.85139523.559.1770.364286.6283091.0680.630.3720.6552.09252.6841611164.3447.839406.75781240.9768.2311.40854.975.2615.953863.452157.29704260149.45687480262155.798317.4513903711305.09757.177453.5111944.272636714.91419.7429.2818.8823.05418.3026.6040.4447211.19475.2516.39289.7641.554477.648245.595144871833318.0565274.86918.652154376.761217218.75267.58711.3055.655.2623510.338514819771.2230.521968178738.12497094323.810.84924832.620.86378228.396.6903671.434778364.814.5353841.48371.4825023.78711145621249.06348.3384147173350.09122.434.6625.2287.33110863472908113317754450303171.3325.116635725322775283.801251328444190324.48232.7601247.48208.043128.8161347.2550144762000158.071173708719964.3530.92601537.5252294842023173799318538656226.3956189.425.03796.88541180.185.2777770.3181.9549.2910410.31360163.0539.6382.26125.4141454741.42665.44877.0224.33467121.46520.5769.88367.33456094.48828145702.3046710555.148.028188877.898.761782755.9759.75739981.958.7460.374135.5191541.0950.630.3750.6552.36051.2901610484.5047.439948.35677141.0768.4651.44655.565.2555.953867.302156.39608211462.29686132109155.783363.3319408711150.69651.617441.9511492.971757714.18120.7528.9718.5103.17718.2926.8950.4446911.19517.3316.39297.1321.579637.488245.453144417466718.2004274.09718.635153770.571251006.00267.13611.4275.675.3118310.432462119334.8620.514604180037.95358586309.610.81362832.800.86754528.336.6950571.434740346.714.4893857.33363.18333.3324.6391116255OpenBenchmarking.org

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: AUSURF112CPUFreq SchedutilCPUFreq Performance30060090012001500SE +/- 12.21, N = 4SE +/- 19.05, N = 91171.031249.061. (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 -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance90180270360450Min: 120.56 / Avg: 385.69 / Max: 492.5Min: 70.27 / Avg: 389.94 / Max: 492.33
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112CPUFreq SchedutilCPUFreq Performance2004006008001000Min: 1148.76 / Avg: 1171.03 / Max: 1205.51Min: 1163.48 / Avg: 1249.06 / Max: 1316.521. (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 -levent_pthreads -lutil -lm -lrt -lz

RELION

RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUCPUFreq SchedutilCPUFreq Performance80160240320400SE +/- 2.97, N = 9SE +/- 3.10, N = 9348.29348.341. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance90180270360450Min: 119.68 / Avg: 480.3 / Max: 492.94Min: 119.71 / Avg: 480.54 / Max: 494.18
OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUCPUFreq SchedutilCPUFreq Performance60120180240300Min: 344.39 / Avg: 348.29 / Max: 371.97Min: 344.31 / Avg: 348.34 / Max: 373.091. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASCPUFreq SchedutilCPUFreq Performance9001800270036004500SE +/- 49.90, N = 9SE +/- 17.79, N = 3406141471. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: BLASCPUFreq SchedutilCPUFreq Performance36912159.729.72
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance90180270360450Min: 120.35 / Avg: 417.68 / Max: 492.34Min: 121.03 / Avg: 426.62 / Max: 492.36
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASCPUFreq SchedutilCPUFreq Performance7001400210028003500Min: 3811 / Avg: 4060.89 / Max: 4359Min: 4119 / Avg: 4147 / Max: 41801. (CXX) g++ options: -flto -pthread

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096CPUFreq SchedutilCPUFreq Performance4K8K12K16K20KSE +/- 213.45, N = 3SE +/- 199.64, N = 917015173351. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops Per Watt, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096CPUFreq SchedutilCPUFreq Performance306090120150127.83131.21
MinAvgMaxCPUFreq Schedutil120.07133.1142.83CPUFreq Performance65.17132.1150.06OpenBenchmarking.orgWatts, Fewer Is BetterFFTW 3.3.6CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096CPUFreq SchedutilCPUFreq Performance3K6K9K12K15KMin: 16653 / Avg: 17015.33 / Max: 17392Min: 16583 / Avg: 17334.89 / Max: 186651. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pCPUFreq SchedutilCPUFreq Performance0.02050.0410.06150.0820.1025SE +/- 0.001, N = 12SE +/- 0.000, N = 30.0910.0911. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pCPUFreq SchedutilCPUFreq Performance
OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance50100150200250Min: 73.78 / Avg: 154.73 / Max: 305.59Min: 119.66 / Avg: 152.88 / Max: 301.34
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pCPUFreq SchedutilCPUFreq Performance12345Min: 0.09 / Avg: 0.09 / Max: 0.09Min: 0.09 / Avg: 0.09 / Max: 0.091. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUCPUFreq SchedutilCPUFreq Performance510152025SE +/- 0.16, N = 15SE +/- 0.20, N = 1522.4922.43
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUCPUFreq SchedutilCPUFreq Performance0.0180.0360.0540.0720.090.080.08
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance70140210280350Min: 120.81 / Avg: 287.74 / Max: 365.75Min: 121.23 / Avg: 291.09 / Max: 365.95
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUCPUFreq SchedutilCPUFreq Performance510152025Min: 21.2 / Avg: 22.49 / Max: 23.35Min: 20.74 / Avg: 22.43 / Max: 23.39

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCPUFreq SchedutilCPUFreq Performance1.04852.0973.14554.1945.2425SE +/- 0.03, N = 3SE +/- 0.04, N = 34.634.66
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCPUFreq SchedutilCPUFreq Performance0.00680.01360.02040.02720.0340.030.03
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance4080120160200Min: 77.57 / Avg: 156.39 / Max: 196.21Min: 82.95 / Avg: 160.37 / Max: 200.84
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUCPUFreq SchedutilCPUFreq Performance246810Min: 4.58 / Avg: 4.63 / Max: 4.67Min: 4.58 / Avg: 4.66 / Max: 4.71

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUCPUFreq SchedutilCPUFreq Performance612182430SE +/- 0.30, N = 15SE +/- 0.24, N = 1525.4225.22
OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUCPUFreq SchedutilCPUFreq Performance0.02030.04060.06090.08120.10150.090.09
OpenBenchmarking.orgWatts, Fewer Is BetterPlaidMLCPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance60120180240300Min: 120.47 / Avg: 284.69 / Max: 345.62Min: 120.32 / Avg: 284.73 / Max: 343.46
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUCPUFreq SchedutilCPUFreq Performance612182430Min: 23.51 / Avg: 25.42 / Max: 27.36Min: 23.35 / Avg: 25.22 / Max: 26.66

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 SceneCPUFreq SchedutilCPUFreq Performance20406080100SE +/- 0.85, N = 15SE +/- 0.69, N = 1587.1487.331. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgWatts, Fewer Is BetterYafaRay 3.4.1CPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance70140210280350Min: 77.37 / Avg: 312.46 / Max: 377.49Min: 120.76 / Avg: 313.28 / Max: 374.38
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneCPUFreq SchedutilCPUFreq Performance20406080100Min: 82.11 / Avg: 87.14 / Max: 91.42Min: 83.68 / Avg: 87.33 / Max: 90.791. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

BlogBench

BlogBench is designed to replicate the load of a real-world busy file server by stressing the file-system with multiple threads of random reads, writes, and rewrites. The behavior is mimicked of that of a blog by creating blogs with content and pictures, modifying blog posts, adding comments to these blogs, and then reading the content of the blogs. All of these blogs generated are created locally with fake content and pictures. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadCPUFreq SchedutilCPUFreq Performance200K400K600K800K1000KSE +/- 1738.41, N = 3SE +/- 13508.02, N = 3110311810863471. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgFinal Score Per Watt, More Is BetterBlogBench 1.1Test: ReadCPUFreq SchedutilCPUFreq Performance100020003000400050004752.604638.96
MinAvgMaxCPUFreq Schedutil120.02232.1341.5CPUFreq Performance120.83234.2328.63OpenBenchmarking.orgWatts, Fewer Is BetterBlogBench 1.1CPU Power Consumption Monitor80160240320400
OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadCPUFreq SchedutilCPUFreq Performance200K400K600K800K1000KMin: 1099845 / Avg: 1103118.33 / Max: 1105770Min: 1066904 / Avg: 1086347.33 / Max: 11123131. (CC) gcc options: -O2 -pthread

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreCPUFreq SchedutilCPUFreq Performance600120018002400300027872908
OpenBenchmarking.orgScore Per Watt, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreCPUFreq SchedutilCPUFreq Performance369121512.9811.59
MinAvgMaxCPUFreq Schedutil119.91214.7378.22CPUFreq Performance119.81250.8388.86OpenBenchmarking.orgWatts, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Power Consumption Monitor100200300400500

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreCPUFreq SchedutilCPUFreq Performance200400600800100010671133

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreCPUFreq SchedutilCPUFreq Performance40080012001600200017201775

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenCPUFreq SchedutilCPUFreq Performance10002000300040005000SE +/- 36.23, N = 3SE +/- 26.71, N = 3443344501. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: EigenCPUFreq SchedutilCPUFreq Performance369121510.4510.39
MinAvgMaxCPUFreq Schedutil121.42424.2492.36CPUFreq Performance121.85428.4492.33OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenCPUFreq SchedutilCPUFreq Performance8001600240032004000Min: 4385 / Avg: 4433 / Max: 4504Min: 4409 / Avg: 4449.67 / Max: 45001. (CXX) g++ options: -flto -pthread

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16CPUFreq SchedutilCPUFreq Performance60K120K180K240K300KSE +/- 3012.50, N = 15SE +/- 5131.54, N = 15294214.37303171.331. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec Per Watt, More Is BetterKeyDB 6.0.16CPUFreq SchedutilCPUFreq Performance4008001200160020001865.161761.51
MinAvgMaxCPUFreq Schedutil64.37157.7178.64CPUFreq Performance60.8172.1190.06OpenBenchmarking.orgWatts, Fewer Is BetterKeyDB 6.0.16CPU Power Consumption Monitor50100150200250
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16CPUFreq SchedutilCPUFreq Performance50K100K150K200K250KMin: 273233.06 / Avg: 294214.37 / Max: 314258.83Min: 272657.95 / Avg: 303171.33 / Max: 333275.991. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 AtomsCPUFreq SchedutilCPUFreq Performance612182430SE +/- 0.05, N = 3SE +/- 0.04, N = 325.0825.121. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsCPUFreq SchedutilCPUFreq Performance0.01350.0270.04050.0540.06750.060.06
MinAvgMaxCPUFreq Schedutil119.89428.6441.65CPUFreq Performance119.98427.6439.32OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsCPUFreq SchedutilCPUFreq Performance612182430Min: 25.01 / Avg: 25.08 / Max: 25.16Min: 25.05 / Avg: 25.12 / Max: 25.151. (CXX) g++ options: -O3 -pthread -lm

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCPUFreq SchedutilCPUFreq Performance140K280K420K560K700K6365216357251. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCPUFreq SchedutilCPUFreq Performance300600900120015001369.511355.13
MinAvgMaxCPUFreq Schedutil119.9464.8492.27CPUFreq Performance120.43469.1492.3OpenBenchmarking.orgWatts, Fewer Is BetterBRL-CAD 7.30.8CPU Power Consumption Monitor130260390520650

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCPUFreq SchedutilCPUFreq Performance70M140M210M280M350MSE +/- 122621.60, N = 3SE +/- 201175.83, N = 3323144417.17322775283.801. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs Per Watt, More Is BetterHierarchical INTegration 1.0Test: FLOATCPUFreq SchedutilCPUFreq Performance500K1000K1500K2000K2500K2496420.852527557.17
MinAvgMaxCPUFreq Schedutil64.77129.4131.58CPUFreq Performance64.16127.7129.43OpenBenchmarking.orgWatts, Fewer Is BetterHierarchical INTegration 1.0CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATCPUFreq SchedutilCPUFreq Performance60M120M180M240M300MMin: 322905080.69 / Avg: 323144417.17 / Max: 323310417.96Min: 322378619.67 / Avg: 322775283.8 / Max: 323031996.681. (CC) gcc options: -O3 -march=native -lm

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCPUFreq SchedutilCPUFreq Performance30K60K90K120K150KSE +/- 2393.85, N = 15SE +/- 2146.20, N = 15134044132844
MinAvgMaxCPUFreq Schedutil121.52403.7446.41CPUFreq Performance121.76401.7439.74OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCPUFreq SchedutilCPUFreq Performance20K40K60K80K100KMin: 106838 / Avg: 134043.8 / Max: 146394Min: 119861 / Avg: 132844.47 / Max: 152016

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUCPUFreq SchedutilCPUFreq Performance9001800270036004500SE +/- 44.10, N = 3SE +/- 68.07, N = 12421041901. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUCPUFreq SchedutilCPUFreq Performance4812162015.2615.49
MinAvgMaxCPUFreq Schedutil121.22275.8301.54CPUFreq Performance121.3270.4293.8OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor80160240320400
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUCPUFreq SchedutilCPUFreq Performance7001400210028003500Min: 4127 / Avg: 4210.33 / Max: 4277Min: 3763 / Avg: 4189.54 / Max: 45001. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCPUFreq SchedutilCPUFreq Performance70140210280350SE +/- 0.23, N = 3SE +/- 0.25, N = 3323.00324.48
OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkCPUFreq SchedutilCPUFreq Performance0.55351.1071.66052.2142.76752.432.46
MinAvgMaxCPUFreq Schedutil120.11133.2142.03CPUFreq Performance119.8131.7141.04OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCPUFreq SchedutilCPUFreq Performance60120180240300Min: 322.57 / Avg: 323 / Max: 323.37Min: 324.07 / Avg: 324.48 / Max: 324.94

Gcrypt Library

Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9CPUFreq SchedutilCPUFreq Performance50100150200250SE +/- 0.81, N = 3SE +/- 0.62, N = 3232.54232.761. (CC) gcc options: -O2 -fvisibility=hidden -lgpg-error
MinAvgMaxCPUFreq Schedutil119.81129.2133.08CPUFreq Performance63.27127.6131.63OpenBenchmarking.orgWatts, Fewer Is BetterGcrypt Library 1.9CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9CPUFreq SchedutilCPUFreq Performance4080120160200Min: 231.18 / Avg: 232.54 / Max: 233.99Min: 232.1 / Avg: 232.76 / Max: 233.991. (CC) gcc options: -O2 -fvisibility=hidden -lgpg-error

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 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance30060090012001500SE +/- 3.00, N = 3SE +/- 35.45, N = 151123.321247.48MIN: 1077.56MIN: 1069.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxCPUFreq Schedutil120.62341.5492.22CPUFreq Performance120.77339.2492.27OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance2004006008001000Min: 1118.58 / Avg: 1123.32 / Max: 1128.89Min: 1102.05 / Avg: 1247.48 / Max: 1519.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 10.0Time To CompileCPUFreq SchedutilCPUFreq Performance50100150200250SE +/- 0.79, N = 3SE +/- 2.78, N = 3208.79208.04
MinAvgMaxCPUFreq Schedutil64.92318.0492.35CPUFreq Performance121.13322.9492.29OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 10.0CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileCPUFreq SchedutilCPUFreq Performance4080120160200Min: 207.68 / Avg: 208.79 / Max: 210.33Min: 203.35 / Avg: 208.04 / Max: 212.98

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 60MCPUFreq SchedutilCPUFreq Performance306090120150SE +/- 0.07, N = 3SE +/- 0.09, N = 3128.28128.811. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
MinAvgMaxCPUFreq Schedutil121.03290.6400.88CPUFreq Performance121.09290.0399.67OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor110220330440550
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MCPUFreq SchedutilCPUFreq Performance20406080100Min: 128.2 / Avg: 128.28 / Max: 128.42Min: 128.69 / Avg: 128.81 / Max: 128.991. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCPUFreq SchedutilCPUFreq Performance13K26K39K52K65KSE +/- 412.91, N = 15SE +/- 715.70, N = 462195.461347.2
MinAvgMaxCPUFreq Schedutil121.35449.5481.23CPUFreq Performance121.89451.3481.68OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCPUFreq SchedutilCPUFreq Performance11K22K33K44K55KMin: 59468.9 / Avg: 62195.4 / Max: 65210.3Min: 60282.3 / Avg: 61347.15 / Max: 63426.1

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUCPUFreq SchedutilCPUFreq Performance12K24K36K48K60KSE +/- 1018.74, N = 13SE +/- 503.58, N = 35346055014
OpenBenchmarking.orgKsamples Per Watt, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUCPUFreq SchedutilCPUFreq Performance306090120150127.59130.65
MinAvgMaxCPUFreq Schedutil120.3419.0492.17CPUFreq Performance120.75421.1492.09OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 4.10.07CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUCPUFreq SchedutilCPUFreq Performance10K20K30K40K50KMin: 42072 / Avg: 53460.15 / Max: 55444Min: 54316 / Avg: 55014.33 / Max: 55992

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: MD5CPUFreq SchedutilCPUFreq Performance1000K2000K3000K4000K5000KSE +/- 54344.04, N = 13SE +/- 7371.11, N = 3461230847620001. (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: MD5CPUFreq SchedutilCPUFreq Performance2K4K6K8K10K10084.8810378.20
MinAvgMaxCPUFreq Schedutil121.95457.3492.3CPUFreq Performance122.39458.8492.08OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5CPUFreq SchedutilCPUFreq Performance800K1600K2400K3200K4000KMin: 4069000 / Avg: 4612307.69 / Max: 4771000Min: 4751000 / Avg: 4762000 / Max: 47760001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyCPUFreq SchedutilCPUFreq Performance306090120150SE +/- 0.13, N = 3SE +/- 0.95, N = 3156.83158.07
MinAvgMaxCPUFreq Schedutil120.64423.5492.26CPUFreq Performance121.24434.6493.96OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.90CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyCPUFreq SchedutilCPUFreq Performance306090120150Min: 156.6 / Avg: 156.83 / Max: 157.05Min: 156.44 / Avg: 158.07 / Max: 159.73

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 DepthCPUFreq SchedutilCPUFreq Performance30M60M90M120M150MSE +/- 358515.89, N = 3SE +/- 1411556.16, N = 4117632955117370871
OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCPUFreq SchedutilCPUFreq Performance60K120K180K240K300K259519.18251626.25
MinAvgMaxCPUFreq Schedutil120.65453.3491.89CPUFreq Performance121.15466.4492.04OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCPUFreq SchedutilCPUFreq Performance20M40M60M80M100MMin: 117005181 / Avg: 117632954.67 / Max: 118246885Min: 114810239 / Avg: 117370871.25 / Max: 121062060

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: GarlicoinCPUFreq SchedutilCPUFreq Performance2K4K6K8K10KSE +/- 99.38, N = 15SE +/- 155.17, N = 149949.889964.351. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinCPUFreq SchedutilCPUFreq Performance132639526559.9157.99
MinAvgMaxCPUFreq Schedutil75.92166.1473.33CPUFreq Performance120.49171.8441.12OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinCPUFreq SchedutilCPUFreq Performance2K4K6K8K10KMin: 9761.89 / Avg: 9949.88 / Max: 11310Min: 9775.82 / Avg: 9964.35 / Max: 119801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1CPUFreq SchedutilCPUFreq Performance714212835SE +/- 0.13, N = 3SE +/- 0.01, N = 330.8330.931. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1CPUFreq SchedutilCPUFreq Performance0.02030.04060.06090.08120.10150.080.09
MinAvgMaxCPUFreq Schedutil120.45363.8391.83CPUFreq Performance119.84363.8399.1OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor110220330440550
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1CPUFreq SchedutilCPUFreq Performance714212835Min: 30.57 / Avg: 30.83 / Max: 30.95Min: 30.91 / Avg: 30.93 / Max: 30.941. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

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: x25xCPUFreq SchedutilCPUFreq Performance30060090012001500SE +/- 17.73, N = 15SE +/- 11.04, N = 121541.761537.521. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xCPUFreq SchedutilCPUFreq Performance2468106.086.04
MinAvgMaxCPUFreq Schedutil119.91253.8480.52CPUFreq Performance120.53254.4424.46OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xCPUFreq SchedutilCPUFreq Performance30060090012001500Min: 1487.43 / Avg: 1541.76 / Max: 1780.85Min: 1510.17 / Avg: 1537.52 / Max: 1644.911. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinCPUFreq SchedutilCPUFreq Performance110K220K330K440K550KSE +/- 5604.68, N = 12SE +/- 9614.65, N = 123640175229481. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinCPUFreq SchedutilCPUFreq Performance80016002400320040002897.783625.65
MinAvgMaxCPUFreq Schedutil119.99125.6144.37CPUFreq Performance71.95144.2193.53OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor50100150200250
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinCPUFreq SchedutilCPUFreq Performance90K180K270K360K450KMin: 303220 / Avg: 364016.67 / Max: 377540Min: 419180 / Avg: 522948.33 / Max: 5403501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Quad SHA-256, PyriteCPUFreq SchedutilCPUFreq Performance90K180K270K360K450KSE +/- 5314.19, N = 12SE +/- 19086.02, N = 122969954202311. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Quad SHA-256, PyriteCPUFreq SchedutilCPUFreq Performance60012001800240030002358.082898.85
MinAvgMaxCPUFreq Schedutil120.08125.9138.55CPUFreq Performance120.88145.0174.31OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor50100150200250
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Quad SHA-256, PyriteCPUFreq SchedutilCPUFreq Performance70K140K210K280K350KMin: 238900 / Avg: 296995 / Max: 306290Min: 210390 / Avg: 420230.83 / Max: 4422701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2CPUFreq SchedutilCPUFreq Performance160K320K480K640K800KSE +/- 5824.36, N = 9SE +/- 2132.19, N = 3736285737993
MinAvgMaxCPUFreq Schedutil121.57442.7471.43CPUFreq Performance121.82439.4470.49OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2CPUFreq SchedutilCPUFreq Performance130K260K390K520K650KMin: 718390 / Avg: 736285 / Max: 779525Min: 733830 / Avg: 737993 / Max: 740875

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUCPUFreq SchedutilCPUFreq Performance4080120160200SE +/- 1.86, N = 3SE +/- 2.62, N = 31811851. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUCPUFreq SchedutilCPUFreq Performance0.15750.3150.47250.630.78750.690.70
MinAvgMaxCPUFreq Schedutil121.06263.9279.86CPUFreq Performance121.25263.5278.66OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor70140210280350
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUCPUFreq SchedutilCPUFreq Performance306090120150Min: 177.5 / Avg: 181.17 / Max: 183.5Min: 181 / Avg: 185.17 / Max: 1901. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2CPUFreq SchedutilCPUFreq Performance8M16M24M32M40MSE +/- 341040.65, N = 3SE +/- 498492.56, N = 338319339.838656226.3
OpenBenchmarking.orgLPS Per Watt, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2CPUFreq SchedutilCPUFreq Performance70K140K210K280K350K306193.49307169.01
MinAvgMaxCPUFreq Schedutil119.7125.1132.4CPUFreq Performance119.99125.8133.33OpenBenchmarking.orgWatts, Fewer Is BetterBYTE Unix Benchmark 3.6CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2CPUFreq SchedutilCPUFreq Performance7M14M21M28M35MMin: 37857878.7 / Avg: 38319339.83 / Max: 38985060.5Min: 37961548.8 / Avg: 38656226.3 / Max: 39622880.7

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000CPUFreq SchedutilCPUFreq Performance200K400K600K800K1000KSE +/- 1525.09, N = 3SE +/- 2401.68, N = 3812193.6956189.4
OpenBenchmarking.orgval/sec Per Watt, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000CPUFreq SchedutilCPUFreq Performance110022003300440055004857.314963.60
MinAvgMaxCPUFreq Schedutil120.51167.2187.45CPUFreq Performance120.75192.6218.26OpenBenchmarking.orgWatts, Fewer Is BetterInfluxDB 1.8.2CPU Power Consumption Monitor60120180240300
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000CPUFreq SchedutilCPUFreq Performance170K340K510K680K850KMin: 810252.3 / Avg: 812193.6 / Max: 815201.7Min: 952399.9 / Avg: 956189.37 / Max: 960640.3

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29CPUFreq SchedutilCPUFreq Performance612182430SE +/- 0.56, N = 12SE +/- 0.62, N = 1424.6325.041. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
MinAvgMaxCPUFreq Schedutil120.06179.4280.24CPUFreq Performance120.5178.5280.37OpenBenchmarking.orgWatts, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29CPU Power Consumption Monitor70140210280350
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29CPUFreq SchedutilCPUFreq Performance612182430Min: 22.43 / Avg: 24.63 / Max: 29.2Min: 23.13 / Avg: 25.04 / Max: 32.571. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

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 HotSpot3DCPUFreq SchedutilCPUFreq Performance20406080100SE +/- 0.59, N = 3SE +/- 0.55, N = 396.6096.891. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxCPUFreq Schedutil120.1157.6257.71CPUFreq Performance119.77156.2253.38OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor70140210280350
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DCPUFreq SchedutilCPUFreq Performance20406080100Min: 95.76 / Avg: 96.6 / Max: 97.73Min: 96.34 / Avg: 96.89 / Max: 97.981. (CXX) g++ options: -O2 -lOpenCL

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCPUFreq SchedutilCPUFreq Performance9K18K27K36K45KSE +/- 400.94, N = 6SE +/- 211.03, N = 341034.041180.1
MinAvgMaxCPUFreq Schedutil121.22453.6483.06CPUFreq Performance121.59453.0481.15OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCPUFreq SchedutilCPUFreq Performance7K14K21K28K35KMin: 40070.1 / Avg: 41033.95 / Max: 42901.4Min: 40933.4 / Avg: 41180.07 / Max: 41600

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCPUFreq SchedutilCPUFreq Performance20406080100SE +/- 0.43, N = 3SE +/- 0.14, N = 392.9285.28
MinAvgMaxCPUFreq