Xeon Scalable Ice Lake P-State Governor

Intel Xeon Platinum 8380 Ice Lake P-State CPU frequency scaling Linux benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2105267-IB-XEONSCALA38&sgm=1&sgm=1&scalar=1&ppt=D&sro&grw.

Xeon Scalable Ice Lake P-State GovernorProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)Intel Device 099816 x 32 GB DDR4-3200MT/s Hynix HMA84GR7CJR4N-XN800GB INTEL SSDPF21Q800GBASPEED2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFPUbuntu 21.045.11.0-17-generic (x86_64)GNOME Shell 3.38.4X Server1.0.2GCC 10.3.0ext41024x768OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Processor Details- P-State powersave: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd000270- P-State performance: Scaling Governor: intel_pstate performance - CPU Microcode: 0xd000270- intel_cpufreq schedutil: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0xd000270- intel_cpufreq performance: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000270Python Details- Python 3.9.4Security Details- 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Xeon Scalable Ice Lake P-State Governordaphne: OpenMP - Euclidean Clusterdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagerelion: Basic - CPUwrf: conus 2.5kmonnx: yolov4 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUtensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4gromacs: MPI CPU - water_GMX50_barelammps: 20k Atomshpcg: npb: BT.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: SP.Bnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Crodinia: OpenMP CFD Solverrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP Streamclusterrodinia: OpenMP HotSpot3Dnamd: ATPase Simulation - 327,506 Atomsarrayfire: BLAS CPUarrayfire: Conjugate Gradient CPUnwchem: C240 Buckyballopenfoam: Motorbike 30Mopenfoam: Motorbike 60Mincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dqe: AUSURF112stockfish: Total Timebuild-llvm: Ninjabuild-llvm: Unix Makefilescompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedbuild-linux-kernel: Time To Compilekvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080pblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Barbershop - CPU-Onlyavifenc: 6, Losslessavifenc: 10avifenc: 10, Losslessbuild-godot: Time To Compileembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownoidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096openvkl: vklBenchmarkopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkUnstructuredVolumeopenvkl: vklBenchmarkVdbVolumeospray: Magnetic Reconnection - SciVisospray: XFrog Forest - SciVisospray: XFrog Forest - Path Tracerospray: NASA Streamlines - SciVisospray: NASA Streamlines - Path Tracerospray: San Miguel - SciVisospray: San Miguel - Path Tracerbuild-mesa: Time To Compilebuild-nodejs: Time To Compileliquid-dsp: 64 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 160 - 256 - 57pgbench: 1000 - 100 - Read Writepgbench: 1000 - 100 - Read Write - Average Latencypgbench: 1000 - 100 - Read Onlypgbench: 1000 - 100 - Read Only - Average Latencypgbench: 1000 - 250 - Read Writepgbench: 1000 - 250 - Read Write - Average Latencypgbench: 1000 - 250 - Read Onlypgbench: 1000 - 250 - Read Only - Average Latencypjsip: OPTIONS, Statefulpjsip: OPTIONS, Statelesspjsip: INVITEP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance831.33742.306634.58350.2669892.424801968212689850941126.85720656821538.99935.49540.1359191166.416051.908620.9790989.73174911.02114946.4691313.602999.72116754.1639485.724.82739.81569.0497.710104.3390.270934538.694.2921882.314.92105.0311.1916566290.4111021106.69177031122129.272199.398296.082.72563.246.72711.624.88113.2623.0323.5917.077.383.94206.54210.9230.546168.38258.6529.7272.17107.7337.4695.2058.83375.612106.621987.209266.52512.852.871.3867071974438175726921722326111.1118.8710.3812527.7890.9110.4218.983102.197302990000032701333333073933333233834.2833933290.2562341110.7239064340.27737694142125481020.77924.8413527.238996430349.9939885.5564831948392662647733656.35721496637079.05235.82540.6471197815.317610.188920.10100543.72187300.47123544.0991817.763014.77120084.2740261.264.74639.42346.3587.816104.1850.271684539.996.1311888.214.79104.7611.0554509290.1433311178.52177131428127.321190.6851011.986.72561.849.12677.921.48638.2146.3161.0648.6219.099.69453.67460.4456.887305.77576.9928.4071.27105.1030.3454.3417.24848.157107.630789.089574.05512.932.931.40811106056458180384029996539114.8118.8710.31142.8627.7810010.4518.49790.850306613333332930000003085100000630491.58812367130.081664933.7749241900.27110362423895393884.75743.017077.76349.4369889.9074831948334675650435239.05716326722549.04235.79240.0659191705.026157.588634.3091970.99177878.68115501.4191642.332926.26117869.4939430.664.71039.19963.2867.712104.1840.272274510.296.454188015.07105.1011.2054179290.4166971156.49175446182127.688191.173311.781.52594.746.12693.422.19011.3020.5321.7215.905.864.00260.25262.7835.480193.80345.4829.2572.24107.3931.9875.1348.48653.001102.704387.992767.75402.782.881.3871877997628174801723599249111.1118.8710.3112527.7890.9110.3818.75491.857300312500032914666673082533333365772.74012285700.081657263.8148853790.28537974174325401021.62914.7013249.678695875349.0289875.2644761978380695550333581.35726796774219.10235.84940.8311197821.887705.448938.09100763.11186973.06123176.7291830.562978.52120124.0540226.024.72939.74647.1057.727104.0880.270514574.834.0051882.214.49104.2711.0561748289.9755861175.69178629474127.332191.8011015.883.12609.748.32713.121.41038.2646.3461.2748.9119.2010.01457.02464.7156.750309.13574.8828.2871.22104.5130.0144.3407.27648.651106.173689.490574.24202.932.931.40821106704641180966730016318112.9618.8710.31142.8627.7810010.4218.51791.081307260000032934000003096700000628261.59412319830.081661863.7918764620.28810409423385416OpenBenchmarking.org

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2004006008001000SE +/- 2.39, N = 3SE +/- 7.84, N = 15SE +/- 1.25, N = 3SE +/- 9.84, N = 151020.77831.331021.62884.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2004006008001000SE +/- 4.79, N = 3SE +/- 18.61, N = 15SE +/- 4.97, N = 3SE +/- 19.99, N = 14924.84742.30914.70743.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3K6K9K12K15KSE +/- 114.27, N = 15SE +/- 86.30, N = 3SE +/- 100.42, N = 15SE +/- 115.67, N = 1213527.246634.5813249.687077.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp

RELION

Test: Basic - Device: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil80160240320400SE +/- 1.34, N = 3SE +/- 1.16, N = 3SE +/- 1.39, N = 3SE +/- 1.38, N = 3349.99350.27349.03349.441. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi

WRF

Input: conus 2.5km

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2K4K6K8K10K9885.569892.429875.269889.911. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500SE +/- 5.43, N = 3SE +/- 2.02, N = 3SE +/- 0.73, N = 3SE +/- 5.29, N = 34834804764831. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: fcn-resnet101-11 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4080120160200SE +/- 0.44, N = 3SE +/- 2.36, N = 3SE +/- 0.29, N = 3SE +/- 1.89, N = 31941961971941. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: shufflenet-v2-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2K4K6K8K10KSE +/- 25.12, N = 3SE +/- 58.56, N = 12SE +/- 24.06, N = 3SE +/- 65.66, N = 383928212838083341. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: super-resolution-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil15003000450060007500SE +/- 200.91, N = 12SE +/- 205.17, N = 12SE +/- 156.45, N = 12SE +/- 210.11, N = 1266266898695567561. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550SE +/- 2.17, N = 3SE +/- 10.98, N = 9SE +/- 6.15, N = 12SE +/- 8.53, N = 124775095035041. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil9K18K27K36K45KSE +/- 117.93, N = 3SE +/- 711.79, N = 12SE +/- 61.65, N = 3SE +/- 352.77, N = 333656.341126.833581.335239.0

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil120K240K360K480K600KSE +/- 2262.00, N = 3SE +/- 1289.77, N = 3SE +/- 491.89, N = 3SE +/- 1875.50, N = 3572149572065572679571632

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil150K300K450K600K750KSE +/- 2267.77, N = 3SE +/- 5220.61, N = 3SE +/- 6399.11, N = 3SE +/- 2013.17, N = 3663707682153677421672254

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3691215SE +/- 0.048, N = 3SE +/- 0.038, N = 3SE +/- 0.011, N = 3SE +/- 0.035, N = 39.0528.9999.1029.0421. (CXX) g++ options: -O3 -pthread

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil816243240SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 335.8335.5035.8535.791. (CXX) g++ options: -O3 -pthread -lm

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil918273645SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 340.6540.1440.8340.071. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil40K80K120K160K200KSE +/- 313.16, N = 4SE +/- 416.58, N = 4SE +/- 230.36, N = 4SE +/- 322.38, N = 4197815.31191166.41197821.88191705.021. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil17003400510068008500SE +/- 165.19, N = 15SE +/- 109.82, N = 12SE +/- 128.21, N = 15SE +/- 121.94, N = 157610.186051.907705.446157.581. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2K4K6K8K10KSE +/- 60.08, N = 13SE +/- 65.72, N = 3SE +/- 38.79, N = 4SE +/- 22.19, N = 38920.108620.978938.098634.301. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20K40K60K80K100KSE +/- 83.85, N = 7SE +/- 842.11, N = 7SE +/- 63.65, N = 7SE +/- 807.72, N = 7100543.7290989.73100763.1191970.991. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil40K80K120K160K200KSE +/- 364.13, N = 4SE +/- 1423.68, N = 4SE +/- 495.98, N = 4SE +/- 196.76, N = 4187300.47174911.02186973.06177878.681. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil30K60K90K120K150KSE +/- 134.33, N = 9SE +/- 480.22, N = 8SE +/- 133.35, N = 9SE +/- 203.66, N = 8123544.09114946.46123176.72115501.411. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20K40K60K80K100KSE +/- 159.72, N = 4SE +/- 139.83, N = 3SE +/- 55.17, N = 4SE +/- 142.93, N = 391817.7691313.6091830.5691642.331. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000SE +/- 15.07, N = 4SE +/- 29.00, N = 4SE +/- 5.86, N = 4SE +/- 32.51, N = 43014.772999.722978.522926.261. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil30K60K90K120K150KSE +/- 89.79, N = 10SE +/- 333.81, N = 10SE +/- 209.39, N = 10SE +/- 233.06, N = 10120084.27116754.16120124.05117869.491. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil9K18K27K36K45KSE +/- 113.89, N = 8SE +/- 83.38, N = 7SE +/- 69.22, N = 8SE +/- 42.28, N = 840261.2639485.7240226.0239430.661. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1.08612.17223.25834.34445.4305SE +/- 0.036, N = 8SE +/- 0.041, N = 15SE +/- 0.019, N = 8SE +/- 0.014, N = 84.7464.8274.7294.7101. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil918273645SE +/- 0.13, N = 3SE +/- 0.23, N = 3SE +/- 0.47, N = 3SE +/- 0.18, N = 339.4239.8239.7539.201. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075SE +/- 0.64, N = 12SE +/- 0.69, N = 6SE +/- 0.69, N = 15SE +/- 1.35, N = 1546.3669.0547.1163.291. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil246810SE +/- 0.078, N = 15SE +/- 0.058, N = 15SE +/- 0.076, N = 6SE +/- 0.044, N = 67.8167.7107.7277.7121. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.01, N = 3SE +/- 0.44, N = 3SE +/- 0.52, N = 3SE +/- 0.27, N = 3104.19104.34104.09104.181. (CXX) g++ options: -O2 -lOpenCL

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.06130.12260.18390.24520.3065SE +/- 0.00055, N = 3SE +/- 0.00040, N = 3SE +/- 0.00021, N = 3SE +/- 0.00043, N = 30.271680.270930.270510.27227

ArrayFire

Test: BLAS CPU

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil10002000300040005000SE +/- 24.52, N = 4SE +/- 10.80, N = 4SE +/- 11.74, N = 4SE +/- 36.10, N = 44539.994538.694574.834510.291. (CXX) g++ options: -rdynamic

ArrayFire

Test: Conjugate Gradient CPU

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil246810SE +/- 0.068, N = 15SE +/- 0.067, N = 15SE +/- 0.128, N = 15SE +/- 0.088, N = 156.1314.2924.0056.4541. (CXX) g++ options: -rdynamic

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4008001200160020001888.21882.31882.21880.01. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

OpenFOAM

Input: Motorbike 30M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil48121620SE +/- 0.15, N = 15SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 714.7914.9214.4915.071. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm

OpenFOAM

Input: Motorbike 60M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 3SE +/- 0.38, N = 3104.76105.03104.27105.101. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3691215SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 411.0611.1911.0611.211. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3290.14290.41289.98290.421. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz

Quantum ESPRESSO

Input: AUSURF112

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil30060090012001500SE +/- 1.74, N = 3SE +/- 19.34, N = 9SE +/- 17.96, N = 9SE +/- 22.92, N = 91178.521106.691175.691156.491. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total TimeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil40M80M120M160M200MSE +/- 1592768.45, N = 3SE +/- 1103002.46, N = 3SE +/- 2150017.23, N = 3SE +/- 1451422.61, N = 151771314281770311221786294741754461821. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: NinjaP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil306090120150SE +/- 0.50, N = 3SE +/- 0.40, N = 3SE +/- 0.45, N = 3SE +/- 0.14, N = 3127.32129.27127.33127.69

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix MakefilesP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4080120160200SE +/- 1.07, N = 3SE +/- 1.18, N = 3SE +/- 0.59, N = 3SE +/- 1.14, N = 3190.69199.40191.80191.17

Zstd Compression

Compression Level: 8, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2004006008001000SE +/- 4.09, N = 3SE +/- 0.62, N = 3SE +/- 2.28, N = 3SE +/- 2.96, N = 31011.9296.01015.8311.71. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.75, N = 15SE +/- 0.55, N = 3SE +/- 0.32, N = 3SE +/- 0.75, N = 1586.782.783.181.51. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000SE +/- 5.29, N = 15SE +/- 16.96, N = 3SE +/- 4.37, N = 3SE +/- 4.60, N = 152561.82563.22609.72594.71. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455SE +/- 0.21, N = 3SE +/- 0.32, N = 15SE +/- 0.20, N = 3SE +/- 0.46, N = 649.146.748.346.11. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000SE +/- 9.19, N = 3SE +/- 4.94, N = 15SE +/- 2.06, N = 3SE +/- 8.19, N = 62677.92711.62713.12693.41. (CC) gcc options: -O3 -pthread -lz -llzma

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil612182430SE +/- 0.24, N = 5SE +/- 0.38, N = 15SE +/- 0.19, N = 7SE +/- 0.19, N = 1421.4924.8821.4122.19

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil918273645SE +/- 0.07, N = 4SE +/- 0.04, N = 3SE +/- 0.07, N = 4SE +/- 0.02, N = 338.2113.2638.2611.301. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455SE +/- 0.31, N = 15SE +/- 0.14, N = 3SE +/- 0.56, N = 4SE +/- 0.06, N = 346.3123.0346.3420.531. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670SE +/- 0.27, N = 5SE +/- 0.22, N = 3SE +/- 0.43, N = 5SE +/- 0.16, N = 1561.0623.5961.2721.721. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455SE +/- 0.30, N = 4SE +/- 0.02, N = 3SE +/- 0.52, N = 4SE +/- 0.03, N = 348.6217.0748.9115.901. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil510152025SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.02, N = 319.097.3819.205.861. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3691215SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 129.693.9410.014.001. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500SE +/- 4.77, N = 15SE +/- 1.53, N = 7SE +/- 3.11, N = 13SE +/- 2.47, N = 15453.67206.54457.02260.251. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500SE +/- 2.03, N = 10SE +/- 1.16, N = 7SE +/- 2.50, N = 10SE +/- 2.52, N = 15460.44210.92464.71262.781. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265SE +/- 0.24, N = 4SE +/- 0.20, N = 3SE +/- 0.31, N = 4SE +/- 0.47, N = 356.8930.5556.7535.481. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

SVT-HEVC

Tuning: 7 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil70140210280350SE +/- 0.58, N = 10SE +/- 1.49, N = 8SE +/- 1.23, N = 10SE +/- 1.34, N = 15305.77168.38309.13193.801. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 10 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil120240360480600SE +/- 0.97, N = 11SE +/- 1.12, N = 9SE +/- 1.99, N = 11SE +/- 3.58, N = 15576.99258.65574.88345.481. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CPU-OnlyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil714212835SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.27, N = 328.4029.7228.2829.25

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CPU-OnlyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1632486480SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 371.2772.1771.2272.24

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CPU-OnlyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.34, N = 3SE +/- 0.44, N = 3SE +/- 0.20, N = 3SE +/- 0.55, N = 3105.10107.73104.51107.39

libavif avifenc

Encoder Speed: 6, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, LosslessP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil918273645SE +/- 0.22, N = 3SE +/- 0.28, N = 15SE +/- 0.20, N = 3SE +/- 0.41, N = 330.3537.4730.0131.991. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 10

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1.17112.34223.51334.68445.8555SE +/- 0.014, N = 8SE +/- 0.099, N = 15SE +/- 0.013, N = 8SE +/- 0.066, N = 154.3415.2054.3405.1341. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 10, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10, LosslessP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil246810SE +/- 0.031, N = 6SE +/- 0.141, N = 15SE +/- 0.040, N = 6SE +/- 0.124, N = 157.2488.8337.2768.4861. (CXX) g++ options: -O3 -fPIC -lm

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.18, N = 3SE +/- 0.95, N = 3SE +/- 0.28, N = 3SE +/- 0.49, N = 348.1675.6148.6553.00

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.42, N = 6SE +/- 0.79, N = 6SE +/- 0.56, N = 6SE +/- 0.80, N = 6107.63106.62106.17102.70MIN: 88.63 / MAX: 112.78MIN: 84.26 / MAX: 112.87MIN: 84.09 / MAX: 112.29MIN: 81.43 / MAX: 111.73

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.48, N = 3SE +/- 0.41, N = 3SE +/- 0.14, N = 3SE +/- 0.38, N = 389.0987.2189.4987.99MIN: 70.73 / MAX: 97.89MIN: 69.09 / MAX: 97.86MIN: 71.05 / MAX: 98.17MIN: 70.3 / MAX: 98.24

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1632486480SE +/- 0.18, N = 5SE +/- 0.21, N = 5SE +/- 0.34, N = 5SE +/- 0.18, N = 574.0666.5374.2467.75MIN: 64.5 / MAX: 94.28MIN: 59.75 / MAX: 87.7MIN: 64.44 / MAX: 93.9MIN: 60.74 / MAX: 88.34

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.65931.31861.97792.63723.2965SE +/- 0.01, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 5SE +/- 0.03, N = 152.932.852.932.78

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.65931.31861.97792.63723.2965SE +/- 0.01, N = 5SE +/- 0.01, N = 4SE +/- 0.01, N = 5SE +/- 0.02, N = 42.932.872.932.88

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.401.381.401.38

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2004006008001000SE +/- 2.67, N = 3SE +/- 2.19, N = 3SE +/- 2.40, N = 3SE +/- 8.72, N = 3811670821718MIN: 1 / MAX: 3166MIN: 1 / MAX: 2830MIN: 1 / MAX: 3226MIN: 1 / MAX: 3134

OpenVKL

Benchmark: vklBenchmarkStructuredVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20M40M60M80M100MSE +/- 57856.16, N = 3SE +/- 799905.44, N = 4SE +/- 497134.18, N = 3SE +/- 444572.22, N = 31060564587197443810670464177997628MIN: 1396156 / MAX: 908416224MIN: 1304623 / MAX: 672770484MIN: 1343151 / MAX: 909146052MIN: 1380198 / MAX: 693620172

OpenVKL

Benchmark: vklBenchmarkUnstructuredVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil400K800K1200K1600K2000KSE +/- 8888.13, N = 3SE +/- 19689.28, N = 3SE +/- 4355.52, N = 3SE +/- 4960.83, N = 31803840175726918096671748017MIN: 24013 / MAX: 5810552MIN: 18102 / MAX: 5872318MIN: 24362 / MAX: 5849692MIN: 13879 / MAX: 5825120

OpenVKL

Benchmark: vklBenchmarkVdbVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6M12M18M24M30MSE +/- 268896.33, N = 15SE +/- 47580.68, N = 3SE +/- 349026.46, N = 15SE +/- 38895.86, N = 329996539217223263001631823599249MIN: 979600 / MAX: 247803840MIN: 1031810 / MAX: 151043112MIN: 979586 / MAX: 253907928MIN: 1060641 / MAX: 156949416

OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil306090120150SE +/- 1.64, N = 15SE +/- 0.00, N = 8SE +/- 1.26, N = 15SE +/- 0.00, N = 8114.81111.11112.96111.11MIN: 24.39 / MAX: 125MIN: 22.22MIN: 26.32 / MAX: 125MIN: 22.73

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil510152025SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 418.8718.8718.8718.87MIN: 13.89 / MAX: 19.61MIN: 13.7 / MAX: 19.23MIN: 12.99 / MAX: 19.61MIN: 12.2 / MAX: 19.23

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3691215SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.3110.3810.3110.31MIN: 8.33 / MAX: 10.75MIN: 8.06 / MAX: 10.53MIN: 8.26 / MAX: 10.75MIN: 7.75 / MAX: 10.53

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil306090120150SE +/- 0.00, N = 9SE +/- 0.00, N = 9142.86125.00142.86125.00MIN: 31.25MIN: 30.3 / MAX: 142.86MIN: 31.25MIN: 29.41 / MAX: 142.86

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil714212835SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 527.7827.7827.7827.78MIN: 17.54 / MAX: 29.41MIN: 15.87 / MAX: 29.41MIN: 17.54 / MAX: 29.41MIN: 16.95 / MAX: 28.57

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 3100.0090.91100.0090.91MIN: 62.5 / MAX: 111.11MIN: 58.82 / MAX: 100MIN: 55.56 / MAX: 111.11MIN: 47.62 / MAX: 100

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3691215SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 310.4510.4210.4210.38MIN: 7.94 / MAX: 10.75MIN: 7.69 / MAX: 10.64MIN: 7.14 / MAX: 10.64MIN: 7.69 / MAX: 10.53

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 318.5018.9818.5218.75

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil20406080100SE +/- 0.15, N = 3SE +/- 0.59, N = 3SE +/- 0.49, N = 3SE +/- 0.27, N = 390.85102.2091.0891.86

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil700M1400M2100M2800M3500MSE +/- 5500404.03, N = 3SE +/- 19182283.49, N = 3SE +/- 8774394.57, N = 3SE +/- 69564540.69, N = 1230661333333029900000307260000030031250001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil700M1400M2100M2800M3500MSE +/- 6806124.69, N = 3SE +/- 10910901.79, N = 3SE +/- 5329477.77, N = 3SE +/- 4817445.15, N = 332930000003270133333329340000032914666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 160 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 57P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil700M1400M2100M2800M3500MSE +/- 2605762.84, N = 3SE +/- 12922117.13, N = 3SE +/- 5955109.85, N = 3SE +/- 1071343.91, N = 330851000003073933333309670000030825333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 100 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read WriteP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil14K28K42K56K70KSE +/- 272.63, N = 3SE +/- 51.95, N = 3SE +/- 148.39, N = 3SE +/- 464.84, N = 3630492338362826365771. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Write - Average LatencyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.96371.92742.89113.85484.8185SE +/- 0.007, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.035, N = 31.5884.2831.5942.7401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 100 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read OnlyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil300K600K900K1200K1500KSE +/- 5304.66, N = 3SE +/- 8388.30, N = 15SE +/- 3615.78, N = 3SE +/- 11834.71, N = 31236713393329123198312285701. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 100 - Mode: Read Only - Average LatencyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.05760.11520.17280.23040.288SE +/- 0.000, N = 3SE +/- 0.005, N = 15SE +/- 0.000, N = 3SE +/- 0.001, N = 30.0810.2560.0810.0811. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 250 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read WriteP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil14K28K42K56K70KSE +/- 391.43, N = 3SE +/- 156.62, N = 3SE +/- 405.25, N = 3SE +/- 301.39, N = 3664932341166186657261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil3691215SE +/- 0.023, N = 3SE +/- 0.071, N = 3SE +/- 0.023, N = 3SE +/- 0.017, N = 33.77410.7233.7913.8141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 250 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read OnlyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil200K400K600K800K1000KSE +/- 9754.80, N = 3SE +/- 7359.52, N = 15SE +/- 16646.22, N = 15SE +/- 15445.86, N = 159241909064348764628853791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Only - Average LatencyP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.06480.12960.19440.25920.324SE +/- 0.003, N = 3SE +/- 0.002, N = 15SE +/- 0.006, N = 15SE +/- 0.005, N = 150.2710.2770.2880.2851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PJSIP

Method: OPTIONS, Stateful

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2K4K6K8K10KSE +/- 0.58, N = 3SE +/- 31.56, N = 3SE +/- 6.00, N = 3SE +/- 13.93, N = 31036237691040937971. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

PJSIP

Method: OPTIONS, Stateless

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil9K18K27K36K45KSE +/- 274.68, N = 3SE +/- 341.07, N = 9SE +/- 83.53, N = 3SE +/- 380.67, N = 7423894142142338417431. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

PJSIP

Method: INVITE

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: INVITEP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil12002400360048006000SE +/- 7.17, N = 3SE +/- 29.86, N = 15SE +/- 15.21, N = 3SE +/- 50.72, N = 1553932548541625401. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500454.64473.91445.67475.18

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3107 / Avg: 3268.11 / Max: 3404Min: 802 / Avg: 3013.45 / Max: 3300Min: 3107 / Avg: 3283.44 / Max: 3406Min: 1534 / Avg: 3158.75 / Max: 3405

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 142.12 / Avg: 435.1 / Max: 592.61Min: 62.09 / Avg: 403.38 / Max: 562.15Min: 137.84 / Avg: 443.88 / Max: 612.39Min: 62.81 / Avg: 403.44 / Max: 562.6

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 36 / Avg: 56 / Max: 67Min: 28 / Avg: 50.7 / Max: 65Min: 36 / Avg: 55.56 / Max: 68Min: 28 / Avg: 52.3 / Max: 66

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil102030405027.7042.6228.9131.04

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3110 / Avg: 3381.08 / Max: 3410Min: 801 / Avg: 1875.67 / Max: 3000Min: 3400 / Avg: 3402.61 / Max: 3409Min: 1971 / Avg: 2875.93 / Max: 3404

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil70140210280350Min: 166.22 / Avg: 274.74 / Max: 393.59Min: 68.72 / Avg: 141.99 / Max: 325.63Min: 175 / Avg: 266.53 / Max: 346.89Min: 102.97 / Avg: 198.35 / Max: 382.36

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 53 / Avg: 56.04 / Max: 67Min: 39 / Avg: 44.96 / Max: 53Min: 52 / Avg: 54.96 / Max: 67Min: 41 / Avg: 46.59 / Max: 55

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil51015202519.4920.7419.3320.08

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3001 / Avg: 3144.2 / Max: 3403Min: 801 / Avg: 2591.38 / Max: 3011Min: 3005 / Avg: 3157.75 / Max: 3404Min: 802 / Avg: 2945.33 / Max: 3403

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 165.49 / Avg: 457.76 / Max: 585Min: 68.09 / Avg: 415.62 / Max: 569.79Min: 184.41 / Avg: 462.4 / Max: 576.05Min: 72.03 / Avg: 429.9 / Max: 565.76

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 51 / Avg: 69.22 / Max: 76Min: 37 / Avg: 55.25 / Max: 67Min: 50 / Avg: 66.45 / Max: 74Min: 38 / Avg: 57.87 / Max: 68

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300285.10296.44293.75280.10

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3202 / Avg: 3359.25 / Max: 3403Min: 801 / Avg: 2498.72 / Max: 3300Min: 2294 / Avg: 3298 / Max: 3405Min: 2176 / Avg: 3223.33 / Max: 3405

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 172.63 / Avg: 352.67 / Max: 574.12Min: 75.97 / Avg: 306.94 / Max: 553.32Min: 177.42 / Avg: 343.03 / Max: 548.15Min: 116.16 / Avg: 328.36 / Max: 543.36

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 57 / Avg: 62.88 / Max: 70Min: 48 / Avg: 55.28 / Max: 63Min: 55 / Avg: 61.2 / Max: 68Min: 49 / Avg: 56.5 / Max: 67

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500440.34478.36445.54467.72

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3105 / Avg: 3267.2 / Max: 3403Min: 802 / Avg: 2884.06 / Max: 3300Min: 3104 / Avg: 3288.4 / Max: 3403Min: 1872 / Avg: 3145.5 / Max: 3404

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 190.2 / Avg: 425.35 / Max: 593Min: 84.55 / Avg: 365.65 / Max: 553.97Min: 195.36 / Avg: 419.65 / Max: 579.56Min: 134.77 / Avg: 380.31 / Max: 554.48

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 55 / Avg: 66.6 / Max: 73Min: 47 / Avg: 58.81 / Max: 69Min: 54 / Avg: 65.2 / Max: 72Min: 47 / Avg: 60.69 / Max: 68

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500369.71458.43372.37441.37

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3101 / Avg: 3385.89 / Max: 3404Min: 802 / Avg: 2584.06 / Max: 3301Min: 3401 / Avg: 3402.5 / Max: 3403Min: 2299 / Avg: 3185.56 / Max: 3403

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil80160240320400Min: 151.72 / Avg: 334.16 / Max: 435.14Min: 104.74 / Avg: 250.74 / Max: 444.07Min: 195.97 / Avg: 330.79 / Max: 403.95Min: 103.8 / Avg: 261.69 / Max: 454.31

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 55 / Avg: 62.22 / Max: 70Min: 49 / Avg: 52.19 / Max: 59Min: 55 / Avg: 61.83 / Max: 69Min: 50 / Avg: 52.69 / Max: 55

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil50100150200250203.56220.93201.24223.98

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3102 / Avg: 3269.5 / Max: 3404Min: 802 / Avg: 2989.2 / Max: 3302Min: 3103 / Avg: 3241.4 / Max: 3403Min: 1801 / Avg: 3114.31 / Max: 3403

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 193.42 / Avg: 451.05 / Max: 596.84Min: 95.36 / Avg: 413.32 / Max: 571.91Min: 191.43 / Avg: 456.32 / Max: 596.99Min: 94.71 / Avg: 409.15 / Max: 564.77

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 55 / Avg: 66.7 / Max: 73Min: 46 / Avg: 60 / Max: 68Min: 54 / Avg: 67.3 / Max: 72Min: 45 / Avg: 60.63 / Max: 69

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil2468107.7458.7457.7848.220

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3202 / Avg: 3281.56 / Max: 3403Min: 801 / Avg: 2760.85 / Max: 3307Min: 3105 / Avg: 3279.19 / Max: 3403Min: 3102 / Avg: 3230.58 / Max: 3405

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 189.4 / Avg: 389.23 / Max: 549.94Min: 89.13 / Avg: 343.03 / Max: 549.93Min: 191.26 / Avg: 382.65 / Max: 557.86Min: 121.86 / Avg: 356 / Max: 539.95

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 57 / Avg: 61.56 / Max: 68Min: 50 / Avg: 62.25 / Max: 73Min: 59 / Avg: 66.5 / Max: 74Min: 50 / Avg: 61.58 / Max: 69

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil150300450600750412.87680.15427.24540.22

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3400 / Avg: 3402.44 / Max: 3404Min: 801 / Avg: 1940.6 / Max: 3057Min: 3348 / Avg: 3399.13 / Max: 3405Min: 2300 / Avg: 3085.17 / Max: 3404

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil80160240320400Min: 151.11 / Avg: 290.85 / Max: 431.51Min: 95.52 / Avg: 171.66 / Max: 333.09Min: 188.28 / Avg: 281.17 / Max: 385.22Min: 78.83 / Avg: 218.19 / Max: 471.02

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 50 / Avg: 52.88 / Max: 60Min: 44 / Avg: 50.1 / Max: 59Min: 54 / Avg: 57.38 / Max: 64Min: 46 / Avg: 51.72 / Max: 61

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil306090120150116.28137.13117.69128.90

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3200 / Avg: 3370.82 / Max: 3404Min: 801 / Avg: 2440.12 / Max: 3304Min: 3202 / Avg: 3342 / Max: 3403Min: 2301 / Avg: 3185.33 / Max: 3404

NAS Parallel Benchmarks

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 178.85 / Avg: 346.23 / Max: 549.42Min: 56.47 / Avg: 287.95 / Max: 551.82Min: 182.43 / Avg: 341.8 / Max: 554.4Min: 70.73 / Avg: 305.91 / Max: 510.9

NAS Parallel Benchmarks

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 48 / Avg: 57.82 / Max: 67Min: 41 / Avg: 49.65 / Max: 61Min: 52 / Avg: 57.13 / Max: 64Min: 43 / Avg: 51.89 / Max: 62

OpenFOAM

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3003 / Avg: 3226.8 / Max: 3409Min: 802 / Avg: 2835.84 / Max: 3400Min: 3003 / Avg: 3230.57 / Max: 3408Min: 1966 / Avg: 3138.55 / Max: 3404

OpenFOAM

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 157.86 / Avg: 384.07 / Max: 578.2Min: 93.68 / Avg: 308.5 / Max: 569.73Min: 151.78 / Avg: 394.53 / Max: 641.13Min: 91.35 / Avg: 350.4 / Max: 570.36

OpenFOAM

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 54 / Avg: 64.25 / Max: 74Min: 43 / Avg: 53.2 / Max: 67Min: 52 / Avg: 61.81 / Max: 71Min: 46 / Avg: 59.55 / Max: 71

OpenFOAM

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3002 / Avg: 3170.68 / Max: 3413Min: 801 / Avg: 3052.57 / Max: 3405Min: 3002 / Avg: 3170.4 / Max: 3409Min: 2209 / Avg: 3157.13 / Max: 3405

OpenFOAM

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 153.86 / Avg: 418.2 / Max: 568.28Min: 81.08 / Avg: 392.53 / Max: 569.64Min: 172.89 / Avg: 415.84 / Max: 568.33Min: 125.27 / Avg: 401.31 / Max: 568.2

OpenFOAM

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 46 / Avg: 62.41 / Max: 74Min: 44 / Avg: 60.83 / Max: 75Min: 46 / Avg: 62.85 / Max: 76Min: 45 / Avg: 62.49 / Max: 75

WRF

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterWRF 4.2.2CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2953 / Avg: 3010.99 / Max: 3403Min: 938 / Avg: 3009.34 / Max: 3537Min: 2950 / Avg: 3010.05 / Max: 3403Min: 2904 / Avg: 3009.83 / Max: 3400

WRF

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 170.31 / Avg: 533.23 / Max: 579.12Min: 143.32 / Avg: 534.46 / Max: 576.03Min: 152.56 / Avg: 535.01 / Max: 577.46Min: 153.97 / Avg: 535.42 / Max: 576.31

WRF

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterWRF 4.2.2CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 55 / Avg: 67.24 / Max: 74Min: 52 / Avg: 68.72 / Max: 74Min: 55 / Avg: 69.28 / Max: 74Min: 55 / Avg: 70.13 / Max: 74

Xcompact3d Incompact3d

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3004 / Avg: 3177.13 / Max: 3403Min: 802 / Avg: 2696.75 / Max: 3075Min: 3002 / Avg: 3204.94 / Max: 3405Min: 3003 / Avg: 3152.31 / Max: 3405

Xcompact3d Incompact3d

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 214.22 / Avg: 429.08 / Max: 570.89Min: 111.25 / Avg: 393.86 / Max: 566.67Min: 160.76 / Avg: 422.84 / Max: 573.08Min: 180.21 / Avg: 396.01 / Max: 567.63

Xcompact3d Incompact3d

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 51 / Avg: 60.44 / Max: 66Min: 46 / Avg: 56.88 / Max: 66Min: 52 / Avg: 60.88 / Max: 65Min: 51 / Avg: 58.44 / Max: 65

Xcompact3d Incompact3d

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3002 / Avg: 3019.16 / Max: 3403Min: 801 / Avg: 2969.41 / Max: 3313Min: 3002 / Avg: 3018.64 / Max: 3403Min: 2213 / Avg: 3013.97 / Max: 3403

Xcompact3d Incompact3d

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 185.04 / Avg: 533.55 / Max: 582.49Min: 138.66 / Avg: 529.97 / Max: 567.24Min: 180.81 / Avg: 533.48 / Max: 577.73Min: 95.31 / Avg: 533.15 / Max: 570.27

Xcompact3d Incompact3d

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 50 / Avg: 68.19 / Max: 73Min: 49 / Avg: 65.82 / Max: 74Min: 50 / Avg: 68.2 / Max: 73Min: 48 / Avg: 67.15 / Max: 74

ArrayFire

Test: BLAS CPU

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterArrayFire 3.7Test: BLAS CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil369121512.1712.8712.3312.46

ArrayFire

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3406.94 / Max: 3437Min: 802 / Avg: 3051.12 / Max: 3408Min: 2233 / Avg: 3338.35 / Max: 3433Min: 3300 / Avg: 3386 / Max: 3408

ArrayFire

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil90180270360450Min: 193.47 / Avg: 372.96 / Max: 497.36Min: 151.4 / Avg: 352.76 / Max: 502.81Min: 162.15 / Avg: 371 / Max: 504.13Min: 142.14 / Avg: 362.09 / Max: 489.19

ArrayFire

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1224364860Min: 47 / Avg: 52.13 / Max: 63Min: 44 / Avg: 52.12 / Max: 61Min: 47 / Avg: 54.59 / Max: 63Min: 46 / Avg: 50.88 / Max: 62

ArrayFire

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3404 / Max: 3408Min: 801 / Avg: 2569.52 / Max: 3405Min: 3403 / Avg: 3403.96 / Max: 3410Min: 2303 / Avg: 3284.24 / Max: 3405

ArrayFire

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300Min: 160.27 / Avg: 246.19 / Max: 325.31Min: 89.33 / Avg: 183.15 / Max: 264.32Min: 153.66 / Avg: 242.98 / Max: 320.92Min: 136.62 / Avg: 220.97 / Max: 305.86

ArrayFire

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455Min: 46 / Avg: 47.21 / Max: 54Min: 38 / Avg: 41.55 / Max: 44Min: 46 / Avg: 46.93 / Max: 49Min: 42 / Avg: 44.79 / Max: 48

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.01730.03460.05190.06920.08650.0760.0760.0770.076

High Performance Conjugate Gradient

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3002 / Avg: 3024.53 / Max: 3403Min: 802 / Avg: 2987.86 / Max: 3390Min: 3002 / Avg: 3022.98 / Max: 3403Min: 2200 / Avg: 3003.35 / Max: 3403

High Performance Conjugate Gradient

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 192.75 / Avg: 531.43 / Max: 567.44Min: 101.04 / Avg: 525.43 / Max: 566.64Min: 185.02 / Avg: 529.93 / Max: 567.52Min: 148.45 / Avg: 526.85 / Max: 566.97

High Performance Conjugate Gradient

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 46 / Avg: 66.37 / Max: 74Min: 37 / Avg: 66.58 / Max: 75Min: 45 / Avg: 66.48 / Max: 75Min: 43 / Avg: 66.96 / Max: 76

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.01510.03020.04530.06040.07550.0670.0670.0670.067

LAMMPS Molecular Dynamics Simulator

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3017.98 / Max: 3403Min: 802 / Avg: 2980.72 / Max: 3204Min: 3000 / Avg: 3018.17 / Max: 3403Min: 3002 / Avg: 3014.64 / Max: 3403

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 191.19 / Avg: 535.54 / Max: 569.62Min: 124.11 / Avg: 531.53 / Max: 568.45Min: 188.96 / Avg: 534.89 / Max: 577.69Min: 149.36 / Avg: 532.54 / Max: 567.47

LAMMPS Molecular Dynamics Simulator

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 49 / Avg: 70.96 / Max: 76Min: 48 / Avg: 71.22 / Max: 75Min: 50 / Avg: 72.05 / Max: 74Min: 51 / Avg: 69.84 / Max: 72

NAMD

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterNAMD 2.14CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2946 / Avg: 3123.81 / Max: 3403Min: 801 / Avg: 2883.46 / Max: 3010Min: 2922 / Avg: 3115.06 / Max: 3403Min: 2942 / Avg: 3094.25 / Max: 3404

NAMD

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 189.39 / Avg: 455.92 / Max: 636.3Min: 128.57 / Avg: 476.63 / Max: 646.73Min: 161.95 / Avg: 459.1 / Max: 634.99Min: 145.23 / Avg: 428.93 / Max: 609.18

NAMD

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 54 / Avg: 65.31 / Max: 69Min: 51 / Avg: 66.92 / Max: 70Min: 54 / Avg: 65.38 / Max: 70Min: 51 / Avg: 63.38 / Max: 69

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.00450.0090.01350.0180.02250.020.020.020.02

GROMACS

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2021.2CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2900 / Avg: 3141.12 / Max: 3403Min: 802 / Avg: 2836.27 / Max: 3400Min: 2903 / Avg: 3164.3 / Max: 3404Min: 2231 / Avg: 3064.09 / Max: 3403

GROMACS

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil130260390520650Min: 70.83 / Avg: 461.5 / Max: 574.54Min: 63.01 / Avg: 444.82 / Max: 722.02Min: 154.65 / Avg: 465.32 / Max: 569.81Min: 178.07 / Avg: 460.67 / Max: 570.56

GROMACS

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2021.2CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 52 / Avg: 66.64 / Max: 76Min: 48 / Avg: 63.09 / Max: 74Min: 52 / Avg: 62.82 / Max: 71Min: 53 / Avg: 67.38 / Max: 76

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.24120.48240.72360.96481.2061.0631.0721.0541.068

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2930 / Avg: 2991.57 / Max: 3404Min: 802 / Avg: 2904.31 / Max: 3007Min: 2927 / Avg: 2995.51 / Max: 3406Min: 2922 / Avg: 2975.15 / Max: 3405

ONNX Runtime

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 179.49 / Avg: 454.46 / Max: 548.39Min: 154.46 / Avg: 447.71 / Max: 550.42Min: 207.94 / Avg: 451.61 / Max: 544.87Min: 124.64 / Avg: 452.09 / Max: 549.94

ONNX Runtime

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 57 / Avg: 68.64 / Max: 73Min: 54 / Avg: 68.09 / Max: 72Min: 51 / Avg: 61.63 / Max: 63Min: 55 / Avg: 68.99 / Max: 72

ONNX Runtime

Model: fcn-resnet101-11 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.10040.20080.30120.40160.5020.4350.4460.4400.434

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2866 / Avg: 2951.22 / Max: 3404Min: 801 / Avg: 2879.74 / Max: 3400Min: 2855 / Avg: 2939.69 / Max: 3404Min: 2177 / Avg: 2919.11 / Max: 3404

ONNX Runtime

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 156.48 / Avg: 445.99 / Max: 541.22Min: 99.38 / Avg: 439.73 / Max: 539.22Min: 204.08 / Avg: 447.86 / Max: 541.08Min: 111.09 / Avg: 447.16 / Max: 540.93

ONNX Runtime

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 54 / Avg: 68.07 / Max: 74Min: 51 / Avg: 66.74 / Max: 74Min: 49 / Avg: 63.51 / Max: 68Min: 52 / Avg: 66.36 / Max: 71

ONNX Runtime

Model: shufflenet-v2-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil51015202519.9219.4319.8719.67

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2943 / Avg: 3003.63 / Max: 3403Min: 801 / Avg: 2973.98 / Max: 3005Min: 2944 / Avg: 3012.45 / Max: 3403Min: 2943 / Avg: 3007.76 / Max: 3403

ONNX Runtime

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil90180270360450Min: 190.15 / Avg: 421.22 / Max: 500.37Min: 138.02 / Avg: 422.58 / Max: 516Min: 155.28 / Avg: 421.79 / Max: 507.17Min: 185.49 / Avg: 423.65 / Max: 515.15

ONNX Runtime

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 55 / Avg: 62.96 / Max: 64Min: 52 / Avg: 64.51 / Max: 67Min: 52 / Avg: 60.32 / Max: 62Min: 54 / Avg: 63.75 / Max: 65

ONNX Runtime

Model: super-resolution-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4812162014.4314.9915.0314.62

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3021.87 / Max: 3406Min: 801 / Avg: 2986.56 / Max: 3006Min: 3000 / Avg: 3023.24 / Max: 3403Min: 3000 / Avg: 3012.86 / Max: 3405

ONNX Runtime

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 187.38 / Avg: 459.1 / Max: 563.8Min: 116.19 / Avg: 460.29 / Max: 567.14Min: 175.74 / Avg: 462.81 / Max: 568.1Min: 196.63 / Avg: 462.28 / Max: 560.86

ONNX Runtime

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 52 / Avg: 70.54 / Max: 75Min: 53 / Avg: 67.25 / Max: 72Min: 50 / Avg: 66.11 / Max: 74Min: 52 / Avg: 70.57 / Max: 75

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.25670.51340.77011.02681.28351.0641.1411.1131.117

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3024.65 / Max: 3407Min: 801 / Avg: 2966.78 / Max: 3401Min: 3000 / Avg: 3028.08 / Max: 3404Min: 2202 / Avg: 3018.2 / Max: 3403

ONNX Runtime

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 154.61 / Avg: 448.18 / Max: 538.49Min: 134.9 / Avg: 446.21 / Max: 551.94Min: 182.92 / Avg: 451.81 / Max: 550.15Min: 171.12 / Avg: 451.38 / Max: 550.48

ONNX Runtime

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 54 / Avg: 65.08 / Max: 67Min: 50 / Avg: 64.79 / Max: 70Min: 53 / Avg: 68.18 / Max: 71Min: 53 / Avg: 66.62 / Max: 70

Quantum ESPRESSO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterQuantum ESPRESSO 6.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3103 / Avg: 3296.48 / Max: 3518Min: 801 / Avg: 3232.42 / Max: 3439Min: 3104 / Avg: 3274.2 / Max: 3471Min: 1730 / Avg: 3291.57 / Max: 3413

Quantum ESPRESSO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 160.57 / Avg: 445.81 / Max: 620.76Min: 79.28 / Avg: 433.06 / Max: 589.04Min: 175.37 / Avg: 445.55 / Max: 632.58Min: 103.54 / Avg: 441.63 / Max: 586.01

Quantum ESPRESSO

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterQuantum ESPRESSO 6.7CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 48 / Avg: 64.61 / Max: 75Min: 43 / Avg: 64.58 / Max: 79Min: 47 / Avg: 66.29 / Max: 78Min: 46 / Avg: 65.52 / Max: 77

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1.02352.0473.07054.0945.11753.7784.5493.8164.491

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3403.28 / Max: 3406Min: 801 / Avg: 2874.67 / Max: 3406Min: 3403 / Avg: 3403.06 / Max: 3404Min: 1391 / Avg: 2971.81 / Max: 3405

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil60120180240300Min: 211.57 / Avg: 270.16 / Max: 317.87Min: 62.15 / Avg: 182.76 / Max: 261.72Min: 209.75 / Avg: 267.71 / Max: 311.3Min: 75.63 / Avg: 197 / Max: 300.83

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1020304050Min: 47 / Avg: 49.28 / Max: 52Min: 37 / Avg: 41.36 / Max: 47Min: 47 / Avg: 49.89 / Max: 52Min: 41 / Avg: 46.37 / Max: 50

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.99991.99982.99973.99964.99953.9484.4443.9134.322

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3403.75 / Max: 3407Min: 801 / Avg: 2819.74 / Max: 3406Min: 3403 / Avg: 3403.25 / Max: 3405Min: 801 / Avg: 2837.77 / Max: 3406

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil50100150200250Min: 148.96 / Avg: 234.25 / Max: 277.2Min: 54.57 / Avg: 167.05 / Max: 233.35Min: 148.33 / Avg: 233.74 / Max: 287.41Min: 72.95 / Avg: 171.91 / Max: 241.75

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1020304050Min: 46 / Avg: 48.15 / Max: 49Min: 35 / Avg: 38.64 / Max: 41Min: 47 / Avg: 49.55 / Max: 50Min: 40 / Avg: 44.28 / Max: 48

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil122436486051.3642.6250.2945.67

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3400 / Avg: 3403.32 / Max: 3410Min: 802 / Avg: 2620.09 / Max: 3390Min: 3401 / Avg: 3403.26 / Max: 3407Min: 871 / Avg: 2612.11 / Max: 3399

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil50100150200250Min: 159.97 / Avg: 263.4 / Max: 291.52Min: 79.98 / Avg: 155.67 / Max: 242.91Min: 154.09 / Avg: 263.44 / Max: 299.25Min: 60.89 / Avg: 154.96 / Max: 248.13

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1224364860Min: 46 / Avg: 51.95 / Max: 54Min: 35 / Avg: 37.49 / Max: 42Min: 48 / Avg: 54.09 / Max: 63Min: 37 / Avg: 41.68 / Max: 47

RELION

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterRELION 3.1.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2941 / Avg: 3006.83 / Max: 3403Min: 801 / Avg: 2964.92 / Max: 3200Min: 2908 / Avg: 3002.5 / Max: 3403Min: 1501 / Avg: 2988.71 / Max: 3403

RELION

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 169.67 / Avg: 535.45 / Max: 615.01Min: 66.85 / Avg: 530.91 / Max: 618.21Min: 150.2 / Avg: 534.93 / Max: 618.17Min: 65.22 / Avg: 533.95 / Max: 616.15

RELION

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterRELION 3.1.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 49 / Avg: 67.97 / Max: 76Min: 32 / Avg: 67.93 / Max: 77Min: 50 / Avg: 67.63 / Max: 76Min: 37 / Avg: 67.3 / Max: 76

TensorFlow Lite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3031.35 / Max: 3403Min: 801 / Avg: 2955.99 / Max: 3103Min: 3000 / Avg: 3050.43 / Max: 3404Min: 3000 / Avg: 3032.66 / Max: 3403

TensorFlow Lite

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 202.31 / Avg: 520.51 / Max: 620.26Min: 130.97 / Avg: 517.4 / Max: 615.04Min: 149.43 / Avg: 516.05 / Max: 608.65Min: 190.61 / Avg: 514.32 / Max: 606.86

TensorFlow Lite

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 55 / Avg: 69.09 / Max: 73Min: 50 / Avg: 68.31 / Max: 72Min: 50 / Avg: 68.75 / Max: 73Min: 51 / Avg: 67.41 / Max: 71

TensorFlow Lite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3003 / Avg: 3059.42 / Max: 3403Min: 801 / Avg: 2902.28 / Max: 3050Min: 3005 / Avg: 3068.12 / Max: 3403Min: 2402 / Avg: 3037.72 / Max: 3404

TensorFlow Lite

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 151.72 / Avg: 516.4 / Max: 639.8Min: 149.32 / Avg: 511.39 / Max: 634.85Min: 153.57 / Avg: 516.91 / Max: 636.91Min: 132.83 / Avg: 511.78 / Max: 625.61

TensorFlow Lite

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 54 / Avg: 71.67 / Max: 76Min: 50 / Avg: 72.05 / Max: 77Min: 52 / Avg: 71.81 / Max: 76Min: 49 / Avg: 69.53 / Max: 73

TensorFlow Lite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3033 / Avg: 3133.68 / Max: 3404Min: 802 / Avg: 3002.25 / Max: 3210Min: 3029 / Avg: 3143.47 / Max: 3403Min: 3031 / Avg: 3138.39 / Max: 3407

TensorFlow Lite

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 201.39 / Avg: 519.22 / Max: 613.26Min: 142.33 / Avg: 503.71 / Max: 615.56Min: 194.44 / Avg: 518.88 / Max: 616.9Min: 188.1 / Avg: 514.1 / Max: 611.78

TensorFlow Lite

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 56 / Avg: 72.09 / Max: 75Min: 55 / Avg: 71.09 / Max: 74Min: 56 / Avg: 73.23 / Max: 76Min: 53 / Avg: 70.23 / Max: 74

Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3403.13 / Max: 3404Min: 801 / Avg: 2410.19 / Max: 3406Min: 3403 / Avg: 3403.13 / Max: 3404Min: 2226 / Avg: 3333.41 / Max: 3403

Rodinia

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil90180270360450Min: 193.73 / Avg: 311.03 / Max: 390.79Min: 119.45 / Avg: 287.31 / Max: 496.81Min: 194.11 / Avg: 297.99 / Max: 490.61Min: 184.64 / Avg: 297.27 / Max: 483.2

Rodinia

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 54 / Avg: 59.56 / Max: 68Min: 48 / Avg: 52.97 / Max: 63Min: 52 / Avg: 55.94 / Max: 65Min: 49 / Avg: 53.53 / Max: 63

Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2809 / Avg: 3011.07 / Max: 3408Min: 801 / Avg: 2818.7 / Max: 3406Min: 2808 / Avg: 2996.62 / Max: 3407Min: 1128 / Avg: 2879.69 / Max: 3405

Rodinia

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil110220330440550Min: 183.88 / Avg: 456.96 / Max: 636.98Min: 116.66 / Avg: 449.09 / Max: 618.74Min: 182.07 / Avg: 463.14 / Max: 633.08Min: 138.96 / Avg: 463.63 / Max: 628.59

Rodinia

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 52 / Avg: 69.07 / Max: 76Min: 46 / Avg: 66.6 / Max: 75Min: 50 / Avg: 69.03 / Max: 77Min: 46 / Avg: 68.1 / Max: 77

Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3233 / Avg: 3403.14 / Max: 3414Min: 801 / Avg: 2358.38 / Max: 3401Min: 3400 / Avg: 3404.31 / Max: 3417Min: 1444 / Avg: 2684.73 / Max: 3413

Rodinia

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil80160240320400Min: 190.97 / Avg: 348.5 / Max: 420.44Min: 71.33 / Avg: 180.52 / Max: 301.33Min: 157.21 / Avg: 348.25 / Max: 425.7Min: 59.89 / Avg: 223.22 / Max: 369.45

Rodinia

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 57 / Avg: 71.56 / Max: 78Min: 43 / Avg: 50.54 / Max: 59Min: 58 / Avg: 70.74 / Max: 77Min: 46 / Avg: 55.88 / Max: 66

Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3285.56 / Max: 3411Min: 801 / Avg: 2548.02 / Max: 3405Min: 3000 / Avg: 3261.24 / Max: 3404Min: 1420 / Avg: 3152.44 / Max: 3403

Rodinia

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil90180270360450Min: 150.91 / Avg: 343.81 / Max: 499.32Min: 54.95 / Avg: 331.97 / Max: 522.27Min: 189.02 / Avg: 331.18 / Max: 492.13Min: 69.03 / Avg: 315.97 / Max: 481.87

Rodinia

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 52 / Avg: 57.61 / Max: 64Min: 39 / Avg: 54.76 / Max: 63Min: 54 / Avg: 59.24 / Max: 64Min: 46 / Avg: 58 / Max: 65

Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3333.93 / Max: 3408Min: 802 / Avg: 3276.59 / Max: 3406Min: 3000 / Avg: 3323.69 / Max: 3410Min: 2303 / Avg: 3305.22 / Max: 3406

Rodinia

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500