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&rdt&gru.

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 Governorospray: Magnetic Reconnection - SciVisospray: XFrog Forest - SciVisospray: XFrog Forest - Path Tracerospray: NASA Streamlines - SciVisospray: San Miguel - SciVisospray: NASA Streamlines - Path Tracerospray: San Miguel - Path Tracersvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Kembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fasthpcg: arrayfire: BLAS CPUoidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096onnx: yolov4 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUopenvkl: vklBenchmarkopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkUnstructuredVolumeopenvkl: vklBenchmarkVdbVolumecompress-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 Speedstockfish: Total Timegromacs: MPI CPU - water_GMX50_barelammps: 20k Atomspjsip: OPTIONS, Statefulpjsip: OPTIONS, Statelesspjsip: INVITEliquid-dsp: 64 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 160 - 256 - 57daphne: OpenMP - Euclidean Clusterdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagenpb: BT.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: SP.Bnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cpgbench: 1000 - 100 - Read Writepgbench: 1000 - 100 - Read Onlypgbench: 1000 - 250 - Read Writepgbench: 1000 - 250 - Read Onlynamd: ATPase Simulation - 327,506 Atomstensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4arrayfire: Conjugate Gradient CPUpgbench: 1000 - 100 - Read Write - Average Latencypgbench: 1000 - 100 - Read Only - Average Latencypgbench: 1000 - 250 - Read Write - Average Latencypgbench: 1000 - 250 - Read Only - Average Latencyopenfoam: Motorbike 30Mopenfoam: Motorbike 60Mwrf: conus 2.5kmincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dqe: AUSURF112relion: Basic - CPUrodinia: OpenMP CFD Solverrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP Streamclusterrodinia: OpenMP HotSpot3Davifenc: 6, Losslessavifenc: 10avifenc: 10, Losslessbuild-godot: Time To Compilebuild-linux-kernel: Time To Compilebuild-mesa: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-nodejs: Time To Compileblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Barbershop - CPU-Onlynwchem: C240 BuckyballP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance111.1118.8710.3812590.9127.7810.4230.546168.38258.65206.54210.9223.5917.077.383.94106.621987.209266.525113.2623.0340.13594538.692.852.871.384801968212689850967071974438175726921722326296.082.72563.246.72711.61770311228.99935.4953769414212548302990000032701333333073933333831.33742.306634.58191166.416051.908620.9790989.73174911.02114946.4691313.602999.72116754.1639485.7223383393329234119064340.2709341126.85720656821534.2924.2830.25610.7230.27714.92105.039892.4211.1916566290.4111021106.69350.2664.82739.81569.0497.710104.33937.4695.2058.83375.61224.88118.983129.272199.398102.19729.7272.17107.731882.3114.8118.8710.31142.8610027.7810.4556.887305.77576.99453.67460.4461.0648.6219.099.69107.630789.089574.055138.2146.3140.64714539.992.932.931.40483194839266264778111060564581803840299965391011.986.72561.849.12677.91771314289.05235.825103624238953933066133333329300000030851000001020.77924.8413527.238996430197815.317610.188920.10100543.72187300.47123544.0991817.763014.77120084.2740261.26630491236713664939241900.2716833656.35721496637076.1311.5880.0813.7740.27114.79104.769885.55611.0554509290.1433311178.52349.9934.74639.42346.3587.816104.18530.3454.3417.24848.15721.48618.497127.321190.68590.85028.4071.27105.101888.2111.1118.8710.3112590.9127.7810.3835.480193.80345.48260.25262.7821.7215.905.864.00102.704387.992767.754011.3020.5340.06594510.292.782.881.384831948334675650471877997628174801723599249311.781.52594.746.12693.41754461829.04235.7923797417432540300312500032914666673082533333884.75743.017077.76191705.026157.588634.3091970.99177878.68115501.4191642.332926.26117869.4939430.66365771228570657268853790.2722735239.05716326722546.4542.7400.0813.8140.28515.07105.109889.90711.2054179290.4166971156.49349.4364.71039.19963.2867.712104.18431.9875.1348.48653.00122.19018.754127.688191.17391.85729.2572.24107.391880112.9618.8710.31142.8610027.7810.4256.750309.13574.88457.02464.7161.2748.9119.2010.01106.173689.490574.242038.2646.3440.83114574.832.932.931.40476197838069555038211067046411809667300163181018.683.12609.748.32713.11786294749.10235.849104094233854163072600000329340000030967000001021.62914.7013249.678695875197821.887705.448938.09100763.11186973.06123176.7291830.562978.52120124.0540226.02628261231983661868764620.2705133581.35726796774214.0051.5940.0813.7910.28814.49104.279875.26411.0561748289.9755861175.69349.0284.72939.74647.1057.727104.08830.0144.3407.27648.65121.41018.517127.332191.80191.08128.2871.22104.511882.2OpenBenchmarking.org

CPU Temperature Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 28 / Avg: 58.72 / Max: 79Min: 36 / Avg: 62.03 / Max: 80Min: 28 / Avg: 59.65 / Max: 78Min: 36 / Avg: 63.47 / Max: 78

CPU Peak Freq (Highest CPU Core Frequency) Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 801 / Avg: 2883.69 / Max: 3537Min: 2195 / Avg: 3186.64 / Max: 3518Min: 801 / Avg: 3003.21 / Max: 3442Min: 2162 / Avg: 3195.19 / Max: 3483

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance130260390520650Min: 53.58 / Avg: 371.79 / Max: 722.02Min: 70.83 / Avg: 413.76 / Max: 639.8Min: 53.9 / Avg: 368.68 / Max: 634.98Min: 137.84 / Avg: 417.23 / Max: 641.13

OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.12850.2570.38550.5140.64250.5710.3650.5700.370

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01150.0230.03450.0460.05750.0510.0470.0480.046

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00540.01080.01620.02160.0270.0240.0230.0230.023

OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150SE +/- 0.00, N = 8SE +/- 1.64, N = 15SE +/- 0.00, N = 8SE +/- 1.26, N = 15111.11114.81111.11112.96MIN: 22.22MIN: 24.39 / MAX: 125MIN: 22.73MIN: 26.32 / MAX: 125

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.13750.2750.41250.550.68750.6110.5200.5280.513

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 418.8718.8718.8718.87MIN: 13.7 / MAX: 19.23MIN: 13.89 / MAX: 19.61MIN: 12.2 / MAX: 19.23MIN: 12.99 / MAX: 19.61

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01730.03460.05190.06920.08650.0750.0720.0770.071

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.3810.3110.3110.31MIN: 8.06 / MAX: 10.53MIN: 8.33 / MAX: 10.75MIN: 7.75 / MAX: 10.53MIN: 8.26 / MAX: 10.75

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150SE +/- 0.00, N = 9SE +/- 0.00, N = 9125.00142.86125.00142.86MIN: 30.3 / MAX: 142.86MIN: 31.25MIN: 29.41 / MAX: 142.86MIN: 31.25

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 390.91100.0090.91100.00MIN: 58.82 / MAX: 100MIN: 62.5 / MAX: 111.11MIN: 47.62 / MAX: 100MIN: 55.56 / MAX: 111.11

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.10040.20080.30120.40160.5020.4460.4420.4410.440

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance714212835SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 527.7827.7827.7827.78MIN: 15.87 / MAX: 29.41MIN: 17.54 / MAX: 29.41MIN: 16.95 / MAX: 28.57MIN: 17.54 / MAX: 29.41

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00720.01440.02160.02880.0360.0320.0310.0310.030

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 310.4210.4510.3810.42MIN: 7.69 / MAX: 10.64MIN: 7.94 / MAX: 10.75MIN: 7.69 / MAX: 10.53MIN: 7.14 / MAX: 10.64

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1326395265SE +/- 0.20, N = 3SE +/- 0.24, N = 4SE +/- 0.47, N = 3SE +/- 0.31, N = 430.5556.8935.4856.751. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance70140210280350SE +/- 1.49, N = 8SE +/- 0.58, N = 10SE +/- 1.34, N = 15SE +/- 1.23, N = 10168.38305.77193.80309.131. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance120240360480600SE +/- 1.12, N = 9SE +/- 0.97, N = 11SE +/- 3.58, N = 15SE +/- 1.99, N = 11258.65576.99345.48574.881. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500SE +/- 1.53, N = 7SE +/- 4.77, N = 15SE +/- 2.47, N = 15SE +/- 3.11, N = 13206.54453.67260.25457.021. (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 Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.04390.08780.13170.17560.21950.1950.1860.1830.185

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500SE +/- 1.16, N = 7SE +/- 2.03, N = 10SE +/- 2.52, N = 15SE +/- 2.50, N = 10210.92460.44262.78464.711. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-HEVC

Tuning: 7 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.32870.65740.98611.31481.64351.4611.1981.4491.216

SVT-HEVC

Tuning: 10 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.66111.32221.98332.64443.30552.6382.5412.9382.517

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.46710.93421.40131.86842.33551.9391.9222.0761.919

AOM AV1

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0560.1120.1680.2240.280.2250.2450.2080.249

AOM AV1

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01510.03020.04530.06040.07550.0650.0670.0520.067

AOM AV1

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00740.01480.02220.02960.0370.0310.0320.0250.033

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.04480.08960.13440.17920.2240.1830.1850.1990.181

Kvazaar

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.03890.07780.11670.15560.19450.1730.1350.1550.138

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670SE +/- 0.22, N = 3SE +/- 0.27, N = 5SE +/- 0.16, N = 15SE +/- 0.43, N = 523.5961.0621.7261.271. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0650.130.1950.260.3250.2890.2740.2740.264

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.06910.13820.20730.27640.34550.3070.2910.3000.289

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455SE +/- 0.02, N = 3SE +/- 0.30, N = 4SE +/- 0.03, N = 3SE +/- 0.52, N = 417.0748.6215.9048.911. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 37.3819.095.8619.201. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 12SE +/- 0.09, N = 33.949.694.0010.011. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.79, N = 6SE +/- 0.42, N = 6SE +/- 0.80, N = 6SE +/- 0.56, N = 6106.62107.63102.70106.17MIN: 84.26 / MAX: 112.87MIN: 88.63 / MAX: 112.78MIN: 81.43 / MAX: 111.73MIN: 84.09 / MAX: 112.29

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.41, N = 3SE +/- 0.48, N = 3SE +/- 0.38, N = 3SE +/- 0.14, N = 387.2189.0987.9989.49MIN: 69.09 / MAX: 97.86MIN: 70.73 / MAX: 97.89MIN: 70.3 / MAX: 98.24MIN: 71.05 / MAX: 98.17

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1632486480SE +/- 0.21, N = 5SE +/- 0.18, N = 5SE +/- 0.18, N = 5SE +/- 0.34, N = 566.5374.0667.7574.24MIN: 59.75 / MAX: 87.7MIN: 64.5 / MAX: 94.28MIN: 60.74 / MAX: 88.34MIN: 64.44 / MAX: 93.9

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.04, N = 3SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.07, N = 413.2638.2111.3038.261. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.45720.91441.37161.82882.2862.0291.9922.0321.999

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455SE +/- 0.14, N = 3SE +/- 0.31, N = 15SE +/- 0.06, N = 3SE +/- 0.56, N = 423.0346.3120.5346.341. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

AOM AV1

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.04280.08560.12840.17120.2140.1630.1900.1510.190

Kvazaar

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.02250.0450.06750.090.11250.0950.0980.0840.100

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 340.1440.6540.0740.831. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01730.03460.05190.06920.08650.0760.0760.0760.077

ArrayFire

Test: BLAS CPU

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance10002000300040005000SE +/- 10.80, N = 4SE +/- 24.52, N = 4SE +/- 36.10, N = 4SE +/- 11.74, N = 44538.694539.994510.294574.831. (CXX) g++ options: -rdynamic

ArrayFire

Test: BLAS CPU

OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterArrayFire 3.7Test: BLAS CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance369121512.8712.1712.4612.33

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.65931.31861.97792.63723.2965SE +/- 0.00, N = 4SE +/- 0.01, N = 5SE +/- 0.03, N = 15SE +/- 0.00, N = 52.852.932.782.93

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0020.0040.0060.0080.010.0090.0080.0090.008

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.0020.0040.0060.0080.010.0090.0080.0090.009

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00090.00180.00270.00360.00450.0040.0040.0040.004

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.65931.31861.97792.63723.2965SE +/- 0.01, N = 4SE +/- 0.01, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 52.872.932.882.93

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.381.401.381.40

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500SE +/- 2.02, N = 3SE +/- 5.43, N = 3SE +/- 5.29, N = 3SE +/- 0.73, N = 34804834834761. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200SE +/- 2.36, N = 3SE +/- 0.44, N = 3SE +/- 1.89, N = 3SE +/- 0.29, N = 31961941941971. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.24120.48240.72360.96481.2061.0721.0631.0681.054

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.10040.20080.30120.40160.5020.4460.4350.4340.440

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance51015202519.4319.9219.6719.87

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4812162014.9914.4314.6215.03

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.25670.51340.77011.02681.28351.1411.0641.1171.113

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10KSE +/- 58.56, N = 12SE +/- 25.12, N = 3SE +/- 65.66, N = 3SE +/- 24.06, N = 382128392833483801. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance15003000450060007500SE +/- 205.17, N = 12SE +/- 200.91, N = 12SE +/- 210.11, N = 12SE +/- 156.45, N = 1268986626675669551. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550SE +/- 10.98, N = 9SE +/- 2.17, N = 3SE +/- 8.53, N = 12SE +/- 6.15, N = 125094775045031. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.82241.64482.46723.28964.1123.5362.8963.6552.914

OpenVKL

Benchmark: vklBenchmarkStructuredVolume

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance90K180K270K360K450K424481.55438562.32418290.31436355.85

OpenVKL

Benchmark: vklBenchmarkUnstructuredVolume

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance160032004800640080007267.586287.407409.476326.14

OpenVKL

Benchmark: vklBenchmarkVdbVolume

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30K60K90K120K150K123147.50125723.06118699.08126322.91

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2004006008001000SE +/- 2.19, N = 3SE +/- 2.67, N = 3SE +/- 8.72, N = 3SE +/- 2.40, N = 3670811718821MIN: 1 / MAX: 2830MIN: 1 / MAX: 3166MIN: 1 / MAX: 3134MIN: 1 / MAX: 3226

OpenVKL

Benchmark: vklBenchmarkStructuredVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20M40M60M80M100MSE +/- 799905.44, N = 4SE +/- 57856.16, N = 3SE +/- 444572.22, N = 3SE +/- 497134.18, N = 37197443810605645877997628106704641MIN: 1304623 / MAX: 672770484MIN: 1396156 / MAX: 908416224MIN: 1380198 / MAX: 693620172MIN: 1343151 / MAX: 909146052

OpenVKL

Benchmark: vklBenchmarkUnstructuredVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance400K800K1200K1600K2000KSE +/- 19689.28, N = 3SE +/- 8888.13, N = 3SE +/- 4960.83, N = 3SE +/- 4355.52, N = 31757269180384017480171809667MIN: 18102 / MAX: 5872318MIN: 24013 / MAX: 5810552MIN: 13879 / MAX: 5825120MIN: 24362 / MAX: 5849692

OpenVKL

Benchmark: vklBenchmarkVdbVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6M12M18M24M30MSE +/- 47580.68, N = 3SE +/- 268896.33, N = 15SE +/- 38895.86, N = 3SE +/- 349026.46, N = 1521722326299965392359924930016318MIN: 1031810 / MAX: 151043112MIN: 979600 / MAX: 247803840MIN: 1060641 / MAX: 156949416MIN: 979586 / MAX: 253907928

Zstd Compression

Compression Level: 19 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance369121510.9809.74010.93110.026

Zstd Compression

Compression Level: 8, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression Speedintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil2004006008001000SE +/- 2.28, N = 3SE +/- 0.62, N = 3SE +/- 4.09, N = 3SE +/- 2.96, N = 31015.8296.01011.9311.71. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.55, N = 3SE +/- 0.75, N = 15SE +/- 0.75, N = 15SE +/- 0.32, N = 382.786.781.583.11. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 16.96, N = 3SE +/- 5.29, N = 15SE +/- 4.60, N = 15SE +/- 4.37, N = 32563.22561.82594.72609.71. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1122334455SE +/- 0.32, N = 15SE +/- 0.21, N = 3SE +/- 0.46, N = 6SE +/- 0.20, N = 346.749.146.148.31. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 4.94, N = 15SE +/- 9.19, N = 3SE +/- 8.19, N = 6SE +/- 2.06, N = 32711.62677.92693.42713.11. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression SpeedP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance369121512.4811.1012.2011.31

Zstd Compression

Compression Level: 8, Long Mode - Compression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression Speedintel_cpufreq performance0.93581.87162.80743.74324.6794.159

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80230133300P-State performance310732683404intel_cpufreq schedutil153431593405intel_cpufreq performance310732833406OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80118763000P-State performance311033813410intel_cpufreq schedutil197128763404intel_cpufreq performance340034033409OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80125913011P-State performance300131443403intel_cpufreq schedutil80229453403intel_cpufreq performance300531583404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80124993300P-State performance320233593403intel_cpufreq schedutil217632233405intel_cpufreq performance229432983405OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80228843300P-State performance310532673403intel_cpufreq schedutil187231463404intel_cpufreq performance310432883403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80225843301P-State performance310133863404intel_cpufreq schedutil229931863403intel_cpufreq performance340134033403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80229893302P-State performance310232703404intel_cpufreq schedutil180131143403intel_cpufreq performance310332413403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80127613307P-State performance320232823403intel_cpufreq schedutil310232313405intel_cpufreq performance310532793403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80119413057P-State performance340034023404intel_cpufreq schedutil230030853404intel_cpufreq performance334833993405OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAS Parallel Benchmarks

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80124403304P-State performance320033713404intel_cpufreq schedutil230131853404intel_cpufreq performance320233423403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenFOAM

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80228363400P-State performance300332273409intel_cpufreq schedutil196631393404intel_cpufreq performance300332313408OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenFOAM

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80130533405P-State performance300231713413intel_cpufreq schedutil220931573405intel_cpufreq performance300231703409OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000Min: 938 / Avg: 3009.34 / Max: 3537Min: 2953 / Avg: 3010.99 / Max: 3403Min: 2904 / Avg: 3009.83 / Max: 3400Min: 2950 / Avg: 3010.05 / Max: 3403

Xcompact3d Incompact3d

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80226973075P-State performance300431773403intel_cpufreq schedutil300331523405intel_cpufreq performance300232053405OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Xcompact3d Incompact3d

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80129693313P-State performance300230193403intel_cpufreq schedutil221330143403intel_cpufreq performance300230193403OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

ArrayFire

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80230513408P-State performance340334073437intel_cpufreq schedutil330033863408intel_cpufreq performance223333383433OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

ArrayFire

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80125703405P-State performance340334043408intel_cpufreq schedutil230332843405intel_cpufreq performance340334043410OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

High Performance Conjugate Gradient

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80229883390P-State performance300230253403intel_cpufreq schedutil220030033403intel_cpufreq performance300230233403OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

LAMMPS Molecular Dynamics Simulator

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80229813204P-State performance300030183403intel_cpufreq schedutil300230153403intel_cpufreq performance300030183403OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAMD

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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GROMACS

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128803400P-State performance286629513404intel_cpufreq schedutil217729193404intel_cpufreq performance285529403404OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80129743005P-State performance294330043403intel_cpufreq schedutil294330083403intel_cpufreq performance294430123403OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80129873006P-State performance300030223406intel_cpufreq schedutil300030133405intel_cpufreq performance300030233403OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80129673401P-State performance300030253407intel_cpufreq schedutil220230183403intel_cpufreq performance300030283404OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Quantum ESPRESSO

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Darmstadt Automotive Parallel Heterogeneous Suite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128753406P-State performance340334033406intel_cpufreq schedutil139129723405intel_cpufreq performance340334033404OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128203406P-State performance340334043407intel_cpufreq schedutil80128383406intel_cpufreq performance340334033405OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80226203390P-State performance340034033410intel_cpufreq schedutil87126123399intel_cpufreq performance340134033407OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

RELION

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow Lite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow Lite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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TensorFlow Lite

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128193406P-State performance280930113408intel_cpufreq schedutil112828803405intel_cpufreq performance280829973407OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80123583401P-State performance323334033414intel_cpufreq schedutil144426853413intel_cpufreq performance340034043417OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80125483405P-State performance300032863411intel_cpufreq schedutil142031523403intel_cpufreq performance300032613404OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Rodinia

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80232773406P-State performance300033343408intel_cpufreq schedutil230333053406intel_cpufreq performance300033243410OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

SVT-AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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SVT-HEVC

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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SVT-HEVC

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80119222302P-State performance340034033405intel_cpufreq schedutil230026973403intel_cpufreq performance340034033404OpenBenchmarking.orgMegahertz, More Is BetterSVT-HEVC 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

SVT-VP9

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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SVT-VP9

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80118002300P-State performance340334033404intel_cpufreq schedutil230025563404intel_cpufreq performance340334033405OpenBenchmarking.orgMegahertz, More Is BetterSVT-VP9 0.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

AOM AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80118332301P-State performance340334033404intel_cpufreq schedutil80115282303intel_cpufreq performance340034033404OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

AOM AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80117942287P-State performance340334043407intel_cpufreq schedutil81013723202intel_cpufreq performance340034033404OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

AOM AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80121302305P-State performance340034033404intel_cpufreq schedutil100117883403intel_cpufreq performance340334043422OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

AOM AV1

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80122633318P-State performance340034043434intel_cpufreq schedutil90829633409intel_cpufreq performance340334043409OpenBenchmarking.orgMegahertz, More Is BetterAOM AV1 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Zstd Compression

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Zstd Compression

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80132883409P-State performance340334043409intel_cpufreq schedutil141633323409intel_cpufreq performance340334043410OpenBenchmarking.orgMegahertz, More Is BetterZstd Compression 1.5.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPray

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OSPray

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80124263400P-State performance252530003407intel_cpufreq schedutil220229493404intel_cpufreq performance251730703408OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPray

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80126043400P-State performance251128553403intel_cpufreq schedutil217528033403intel_cpufreq performance251028153404OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPray

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80120123400P-State performance340034033408intel_cpufreq schedutil220730533404intel_cpufreq performance264033163405OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPray

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80123703400P-State performance247329913404intel_cpufreq schedutil251429713403intel_cpufreq performance250830323405OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPray

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80232183401P-State performance340034033404intel_cpufreq schedutil230232833406intel_cpufreq performance258533643404OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OSPray

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80228933405P-State performance252531113407intel_cpufreq schedutil230229873406intel_cpufreq performance252231013404OpenBenchmarking.orgMegahertz, More Is BetterOSPray 1.8.5CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Embree

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Embree

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Embree

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Intel Open Image Denoise

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Intel Open Image Denoise

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Intel Open Image Denoise

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80121873299P-State performance285133133411intel_cpufreq schedutil230130893404intel_cpufreq performance280432473403OpenBenchmarking.orgMegahertz, More Is BetterIntel Open Image Denoise 1.4.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVKL

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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OpenVKL

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128663407P-State performance340334033408intel_cpufreq schedutil143030763408intel_cpufreq performance340034053410OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVKL

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80132623422P-State performance340334043424intel_cpufreq schedutil143332083416intel_cpufreq performance340334043432OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenVKL

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80129933400P-State performance340234043411intel_cpufreq schedutil170232413405intel_cpufreq performance340034043410OpenBenchmarking.orgMegahertz, More Is BetterOpenVKL 0.9CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80121632304P-State performance318733273403intel_cpufreq schedutil110420653400intel_cpufreq performance220632663403OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Kvazaar

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80121752300P-State performance311732983403intel_cpufreq schedutil114122222303intel_cpufreq performance310132943404OpenBenchmarking.orgMegahertz, More Is BetterKvazaar 2.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

libavif avifenc

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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libavif avifenc

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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libavif avifenc

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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PJSIP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave8018582300P-State performance340334053428intel_cpufreq schedutil80215102300intel_cpufreq performance340034073483OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

PJSIP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80131653408P-State performance340334073413intel_cpufreq schedutil90833573409intel_cpufreq performance340334083435OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

PJSIP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Timed Godot Game Engine Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Timed Linux Kernel Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Timed Mesa Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

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Timed LLVM Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128703404P-State performance277631083408intel_cpufreq schedutil180230713407intel_cpufreq performance277530973409OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Timed LLVM Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80230953407P-State performance284333193409intel_cpufreq schedutil230232993410intel_cpufreq performance219633113413OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Timed Node.js Compilation

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80129473408P-State performance280631503408intel_cpufreq schedutil220031313408intel_cpufreq performance278031473406OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 15.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128433300P-State performance310232143404intel_cpufreq schedutil182332163407intel_cpufreq performance310032423403OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80228733008P-State performance299030963405intel_cpufreq schedutil288030663403intel_cpufreq performance218330003408OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Liquid-DSP

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128363000P-State performance295830713403intel_cpufreq schedutil295930713404intel_cpufreq performance295630693403OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Blender

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80127043408P-State performance279331403408intel_cpufreq schedutil279231073406intel_cpufreq performance278631273405OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Blender

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128013400P-State performance277529303405intel_cpufreq schedutil220028563403intel_cpufreq performance277429183405OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Blender

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80229363405P-State performance290430103405intel_cpufreq schedutil230129763406intel_cpufreq performance289230143408OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

PostgreSQL pgbench

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80127593405P-State performance300033613413intel_cpufreq schedutil141230643405intel_cpufreq performance300033673431OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

PostgreSQL pgbench

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80128213436P-State performance300033553413intel_cpufreq schedutil165233023405intel_cpufreq performance300033623441OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

PostgreSQL pgbench

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80127923405P-State performance300033603410intel_cpufreq schedutil182733023407intel_cpufreq performance218533503409OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

PostgreSQL pgbench

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80130223437P-State performance300033663407intel_cpufreq schedutil95833173442intel_cpufreq performance219033563436OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Stockfish

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80126523002P-State performance298731063406intel_cpufreq schedutil217330603404intel_cpufreq performance297431053405OpenBenchmarking.orgMegahertz, More Is BetterStockfish 13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NWChem

CPU Peak Freq (Highest CPU Core Frequency) Monitor

MinAvgMaxP-State powersave80130073409P-State performance300330173409intel_cpufreq schedutil230030153409intel_cpufreq performance300330183409OpenBenchmarking.orgMegahertz, More Is BetterNWChem 7.0.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 13Total TimeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80K160K240K320K400K392264.24378389.79368173.69380770.10

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total TimeP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance40M80M120M160M200MSE +/- 1103002.46, N = 3SE +/- 1592768.45, N = 3SE +/- 1451422.61, N = 15SE +/- 2150017.23, N = 31770311221771314281754461821786294741. (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

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.00450.0090.01350.0180.02250.020.020.020.02

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.038, N = 3SE +/- 0.048, N = 3SE +/- 0.035, N = 3SE +/- 0.011, N = 38.9999.0529.0429.1021. (CXX) g++ options: -O3 -pthread

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.01510.03020.04530.06040.07550.0670.0670.0670.067

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance816243240SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 335.5035.8335.7935.851. (CXX) g++ options: -O3 -pthread -lm

PJSIP

Method: OPTIONS, Stateful

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance102030405038.1245.8738.2345.12

PJSIP

Method: OPTIONS, Stateful

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10KSE +/- 31.56, N = 3SE +/- 0.58, N = 3SE +/- 13.93, N = 3SE +/- 6.00, N = 33769103623797104091. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

PJSIP

Method: OPTIONS, Stateless

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200174.15163.09166.04160.57

PJSIP

Method: INVITE

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: INVITEP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance61218243024.5823.2723.6223.05

PJSIP

Method: OPTIONS, Stateless

OpenBenchmarking.orgResponses Per Second, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9K18K27K36K45KSE +/- 341.07, N = 9SE +/- 274.68, N = 3SE +/- 380.67, N = 7SE +/- 83.53, N = 3414214238941743423381. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance12002400360048006000SE +/- 29.86, N = 15SE +/- 7.17, N = 3SE +/- 50.72, N = 15SE +/- 15.21, N = 325485393254054161. (CC) gcc options: -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2

Liquid-DSP

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

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.4M2.8M4.2M5.6M7M6754065.396392760.376436493.636437714.60

Liquid-DSP

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

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.5M3M4.5M6M7.5M6911581.207053355.327058626.646985743.48

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 19182283.49, N = 3SE +/- 5500404.03, N = 3SE +/- 69564540.69, N = 12SE +/- 8774394.57, N = 330299000003066133333300312500030726000001. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 10910901.79, N = 3SE +/- 6806124.69, N = 3SE +/- 4817445.15, N = 3SE +/- 5329477.77, N = 332701333333293000000329146666732934000001. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance700M1400M2100M2800M3500MSE +/- 12922117.13, N = 3SE +/- 2605762.84, N = 3SE +/- 1071343.91, N = 3SE +/- 5955109.85, N = 330739333333085100000308253333330967000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

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

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 57P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.4M2.8M4.2M5.6M7M6650836.156607333.416576582.796658045.41

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2004006008001000SE +/- 7.84, N = 15SE +/- 2.39, N = 3SE +/- 9.84, N = 15SE +/- 1.25, N = 3831.331020.77884.751021.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance122436486042.6251.3645.6750.29

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2004006008001000SE +/- 18.61, N = 15SE +/- 4.79, N = 3SE +/- 19.99, N = 14SE +/- 4.97, N = 3742.30924.84743.01914.701. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3K6K9K12K15KSE +/- 86.30, N = 3SE +/- 114.27, N = 15SE +/- 115.67, N = 12SE +/- 100.42, N = 156634.5813527.247077.7613249.681. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.02352.0473.07054.0945.11754.5493.7784.4913.816

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.99991.99982.99973.99964.99954.4443.9484.3223.913

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance102030405042.6227.7031.0428.91

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance51015202520.7419.4920.0819.33

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300296.44285.10280.10293.75

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500478.36440.34467.72445.54

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500458.43369.71441.37372.37

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance50100150200250220.93203.56223.98201.24

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2468108.7457.7458.2207.784

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance150300450600750680.15412.87540.22427.24

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150137.13116.28128.90117.69

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance40K80K120K160K200KSE +/- 416.58, N = 4SE +/- 313.16, N = 4SE +/- 322.38, N = 4SE +/- 230.36, N = 4191166.41197815.31191705.02197821.881. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance17003400510068008500SE +/- 109.82, N = 12SE +/- 165.19, N = 15SE +/- 121.94, N = 15SE +/- 128.21, N = 156051.907610.186157.587705.441. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10KSE +/- 65.72, N = 3SE +/- 60.08, N = 13SE +/- 22.19, N = 3SE +/- 38.79, N = 48620.978920.108634.308938.091. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20K40K60K80K100KSE +/- 842.11, N = 7SE +/- 83.85, N = 7SE +/- 807.72, N = 7SE +/- 63.65, N = 790989.73100543.7291970.99100763.111. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance40K80K120K160K200KSE +/- 1423.68, N = 4SE +/- 364.13, N = 4SE +/- 196.76, N = 4SE +/- 495.98, N = 4174911.02187300.47177878.68186973.061. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30K60K90K120K150KSE +/- 480.22, N = 8SE +/- 134.33, N = 9SE +/- 203.66, N = 8SE +/- 133.35, N = 9114946.46123544.09115501.41123176.721. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20K40K60K80K100KSE +/- 139.83, N = 3SE +/- 159.72, N = 4SE +/- 142.93, N = 3SE +/- 55.17, N = 491313.6091817.7691642.3391830.561. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance6001200180024003000SE +/- 29.00, N = 4SE +/- 15.07, N = 4SE +/- 32.51, N = 4SE +/- 5.86, N = 42999.723014.772926.262978.521. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30K60K90K120K150KSE +/- 333.81, N = 10SE +/- 89.79, N = 10SE +/- 233.06, N = 10SE +/- 209.39, N = 10116754.16120084.27117869.49120124.051. (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: BT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500473.91454.64475.18445.67

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9K18K27K36K45KSE +/- 83.38, N = 7SE +/- 113.89, N = 8SE +/- 42.28, N = 8SE +/- 69.22, N = 839485.7240261.2639430.6640226.021. (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

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance14K28K42K56K70KSE +/- 51.95, N = 3SE +/- 272.63, N = 3SE +/- 464.84, N = 3SE +/- 148.39, N = 3233836304936577628261. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance300K600K900K1200K1500KSE +/- 8388.30, N = 15SE +/- 5304.66, N = 3SE +/- 11834.71, N = 3SE +/- 3615.78, N = 33933291236713122857012319831. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance14K28K42K56K70KSE +/- 156.62, N = 3SE +/- 391.43, N = 3SE +/- 301.39, N = 3SE +/- 405.25, N = 3234116649365726661861. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance200K400K600K800K1000KSE +/- 7359.52, N = 15SE +/- 9754.80, N = 3SE +/- 15445.86, N = 15SE +/- 16646.22, N = 159064349241908853798764621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave28.050.765.0P-State performance36.056.067.0intel_cpufreq schedutil28.052.366.0intel_cpufreq performance36.055.668.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave39.045.053.0P-State performance53.056.067.0intel_cpufreq schedutil41.046.655.0intel_cpufreq performance52.055.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave37.055.367.0P-State performance51.069.276.0intel_cpufreq schedutil38.057.968.0intel_cpufreq performance50.066.574.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave48.055.363.0P-State performance57.062.970.0intel_cpufreq schedutil49.056.567.0intel_cpufreq performance55.061.268.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave47.058.869.0P-State performance55.066.673.0intel_cpufreq schedutil47.060.768.0intel_cpufreq performance54.065.272.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave49.052.259.0P-State performance55.062.270.0intel_cpufreq schedutil50.052.755.0intel_cpufreq performance55.061.869.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave46.060.068.0P-State performance55.066.773.0intel_cpufreq schedutil45.060.669.0intel_cpufreq performance54.067.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave50.062.373.0P-State performance57.061.668.0intel_cpufreq schedutil50.061.669.0intel_cpufreq performance59.066.574.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave44.050.159.0P-State performance50.052.960.0intel_cpufreq schedutil46.051.761.0intel_cpufreq performance54.057.464.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

NAS Parallel Benchmarks

CPU Temperature Monitor

MinAvgMaxP-State powersave41.049.661.0P-State performance48.057.867.0intel_cpufreq schedutil43.051.962.0intel_cpufreq performance52.057.164.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature Monitor20406080100

OpenFOAM

CPU Temperature Monitor

MinAvgMaxP-State powersave43.053.267.0P-State performance54.064.374.0intel_cpufreq schedutil46.059.571.0intel_cpufreq performance52.061.871.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature Monitor20406080100

OpenFOAM

CPU Temperature Monitor

MinAvgMaxP-State powersave44.060.875.0P-State performance46.062.474.0intel_cpufreq schedutil45.062.575.0intel_cpufreq performance46.062.976.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature Monitor20406080100

WRF

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterWRF 4.2.2CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 52 / Avg: 68.72 / Max: 74Min: 55 / Avg: 67.24 / Max: 74Min: 55 / Avg: 70.13 / Max: 74Min: 55 / Avg: 69.28 / Max: 74

Xcompact3d Incompact3d

CPU Temperature Monitor

MinAvgMaxP-State powersave46.056.966.0P-State performance51.060.466.0intel_cpufreq schedutil51.058.465.0intel_cpufreq performance52.060.965.0OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature Monitor20406080100

Xcompact3d Incompact3d

CPU Temperature Monitor

MinAvgMaxP-State powersave49.065.874.0P-State performance50.068.273.0intel_cpufreq schedutil48.067.174.0intel_cpufreq performance50.068.273.0OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature Monitor20406080100

ArrayFire

CPU Temperature Monitor

MinAvgMaxP-State powersave44.052.161.0P-State performance47.052.163.0intel_cpufreq schedutil46.050.962.0intel_cpufreq performance47.054.663.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor20406080100

ArrayFire

CPU Temperature Monitor

MinAvgMaxP-State powersave38.041.644.0P-State performance46.047.254.0intel_cpufreq schedutil42.044.848.0intel_cpufreq performance46.046.949.0OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitor1530456075

High Performance Conjugate Gradient

CPU Temperature Monitor

MinAvgMaxP-State powersave37.066.675.0P-State performance46.066.474.0intel_cpufreq schedutil43.067.076.0intel_cpufreq performance45.066.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature Monitor20406080100

LAMMPS Molecular Dynamics Simulator

CPU Temperature Monitor

MinAvgMaxP-State powersave48.071.275.0P-State performance49.071.076.0intel_cpufreq schedutil51.069.872.0intel_cpufreq performance50.072.074.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Temperature Monitor20406080100

NAMD

CPU Temperature Monitor

MinAvgMaxP-State powersave51.066.970.0P-State performance54.065.369.0intel_cpufreq schedutil51.063.469.0intel_cpufreq performance54.065.470.0OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitor20406080100

GROMACS

CPU Temperature Monitor

MinAvgMaxP-State powersave48.063.174.0P-State performance52.066.676.0intel_cpufreq schedutil53.067.476.0intel_cpufreq performance52.062.871.0OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2021.2CPU Temperature Monitor20406080100

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxP-State powersave54.068.172.0P-State performance57.068.673.0intel_cpufreq schedutil55.069.072.0intel_cpufreq performance51.061.663.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxP-State powersave51.066.774.0P-State performance54.068.174.0intel_cpufreq schedutil52.066.471.0intel_cpufreq performance49.063.568.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxP-State powersave52.064.567.0P-State performance55.063.064.0intel_cpufreq schedutil54.063.865.0intel_cpufreq performance52.060.362.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxP-State powersave53.067.372.0P-State performance52.070.575.0intel_cpufreq schedutil52.070.675.0intel_cpufreq performance50.066.174.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

ONNX Runtime

CPU Temperature Monitor

MinAvgMaxP-State powersave50.064.870.0P-State performance54.065.167.0intel_cpufreq schedutil53.066.670.0intel_cpufreq performance53.068.271.0OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitor20406080100

Quantum ESPRESSO

CPU Temperature Monitor

OpenBenchmarking.orgCelsius, Fewer Is BetterQuantum ESPRESSO 6.7CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 43 / Avg: 64.58 / Max: 79Min: 48 / Avg: 64.61 / Max: 75Min: 46 / Avg: 65.52 / Max: 77Min: 47 / Avg: 66.29 / Max: 78

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Temperature Monitor

MinAvgMaxP-State powersave37.041.447.0P-State performance47.049.352.0intel_cpufreq schedutil41.046.450.0intel_cpufreq performance47.049.952.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1530456075

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Temperature Monitor

MinAvgMaxP-State powersave35.038.641.0P-State performance46.048.249.0intel_cpufreq schedutil40.044.348.0intel_cpufreq performance47.049.650.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor1428425670

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Temperature Monitor

MinAvgMaxP-State powersave35.037.542.0P-State performance46.051.954.0intel_cpufreq schedutil37.041.747.0intel_cpufreq performance48.054.163.0OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature Monitor20406080100

RELION

CPU Temperature Monitor

MinAvgMaxP-State powersave32.067.977.0P-State performance49.068.076.0intel_cpufreq schedutil37.067.376.0intel_cpufreq performance50.067.676.0OpenBenchmarking.orgCelsius, Fewer Is BetterRELION 3.1.1CPU Temperature Monitor20406080100

TensorFlow Lite

CPU Temperature Monitor

MinAvgMaxP-State powersave50.068.372.0P-State performance55.069.173.0intel_cpufreq schedutil51.067.471.0intel_cpufreq performance50.068.873.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

TensorFlow Lite

CPU Temperature Monitor

MinAvgMaxP-State powersave50.072.077.0P-State performance54.071.776.0intel_cpufreq schedutil49.069.573.0intel_cpufreq performance52.071.876.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

TensorFlow Lite

CPU Temperature Monitor

MinAvgMaxP-State powersave55.071.174.0P-State performance56.072.175.0intel_cpufreq schedutil53.070.274.0intel_cpufreq performance56.073.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitor20406080100

Rodinia

CPU Temperature Monitor

MinAvgMaxP-State powersave48.053.063.0P-State performance54.059.668.0intel_cpufreq schedutil49.053.563.0intel_cpufreq performance52.055.965.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

Rodinia

CPU Temperature Monitor

MinAvgMaxP-State powersave46.066.675.0P-State performance52.069.176.0intel_cpufreq schedutil46.068.177.0intel_cpufreq performance50.069.077.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

Rodinia

CPU Temperature Monitor

MinAvgMaxP-State powersave43.050.559.0P-State performance57.071.678.0intel_cpufreq schedutil46.055.966.0intel_cpufreq performance58.070.777.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

Rodinia

CPU Temperature Monitor

MinAvgMaxP-State powersave39.054.863.0P-State performance52.057.664.0intel_cpufreq schedutil46.058.065.0intel_cpufreq performance54.059.264.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

Rodinia

CPU Temperature Monitor

MinAvgMaxP-State powersave47.054.665.0P-State performance47.052.462.0intel_cpufreq schedutil47.056.067.0intel_cpufreq performance45.051.162.0OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature Monitor20406080100

SVT-AV1

CPU Temperature Monitor

MinAvgMaxP-State powersave39.042.447.0P-State performance48.053.263.0intel_cpufreq schedutil44.048.353.0intel_cpufreq performance47.053.864.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-AV1 0.8.7CPU Temperature Monitor20406080100

SVT-HEVC

CPU Temperature Monitor

MinAvgMaxP-State powersave33.036.840.0P-State performance49.051.358.0intel_cpufreq schedutil39.043.248.0intel_cpufreq performance50.053.160.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor1632486480

SVT-HEVC

CPU Temperature Monitor

MinAvgMaxP-State powersave31.033.136.0P-State performance47.048.957.0intel_cpufreq schedutil37.039.044.0intel_cpufreq performance48.050.360.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-HEVC 1.5.0CPU Temperature Monitor1632486480

SVT-VP9

CPU Temperature Monitor

MinAvgMaxP-State powersave30.032.136.0P-State performance46.048.055.0intel_cpufreq schedutil36.039.343.0intel_cpufreq performance47.049.055.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor1530456075

SVT-VP9

CPU Temperature Monitor

MinAvgMaxP-State powersave30.031.333.0P-State performance46.047.953.0intel_cpufreq schedutil36.038.543.0intel_cpufreq performance47.048.655.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.3CPU Temperature Monitor1530456075

AOM AV1

CPU Temperature Monitor

MinAvgMaxP-State powersave29.030.331.0P-State performance45.045.246.0intel_cpufreq schedutil35.036.638.0intel_cpufreq performance46.047.153.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1530456075

AOM AV1

CPU Temperature Monitor

MinAvgMaxP-State powersave29.031.232.0P-State performance44.044.345.0intel_cpufreq schedutil34.035.937.0intel_cpufreq performance45.045.747.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1428425670

AOM AV1

CPU Temperature Monitor

MinAvgMaxP-State powersave30.032.834.0P-State performance43.044.846.0intel_cpufreq schedutil34.036.538.0intel_cpufreq performance45.048.756.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor1632486480

AOM AV1

CPU Temperature Monitor

MinAvgMaxP-State powersave31.035.541.0P-State performance45.051.662.0intel_cpufreq schedutil34.042.858.0intel_cpufreq performance45.047.253.0OpenBenchmarking.orgCelsius, Fewer Is BetterAOM AV1 3.1CPU Temperature Monitor20406080100

Zstd Compression

CPU Temperature Monitor

MinAvgMaxP-State powersave33.042.555.0P-State performance46.048.159.0intel_cpufreq schedutil37.053.065.0intel_cpufreq performance46.047.353.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor20406080100

Zstd Compression

CPU Temperature Monitor

MinAvgMaxP-State powersave39.047.451.0P-State performance46.047.350.0intel_cpufreq schedutil44.049.953.0intel_cpufreq performance46.048.056.0OpenBenchmarking.orgCelsius, Fewer Is BetterZstd Compression 1.5.0CPU Temperature Monitor1632486480

OSPray

CPU Temperature Monitor

MinAvgMaxP-State powersave41.045.654.0P-State performance46.054.064.0intel_cpufreq schedutil43.047.757.0intel_cpufreq performance45.054.165.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OSPray

CPU Temperature Monitor

MinAvgMaxP-State powersave33.053.466.0P-State performance48.060.070.0intel_cpufreq schedutil37.057.870.0intel_cpufreq performance48.061.772.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OSPray

CPU Temperature Monitor

MinAvgMaxP-State powersave48.064.673.0P-State performance53.067.474.0intel_cpufreq schedutil53.067.775.0intel_cpufreq performance54.067.875.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OSPray

CPU Temperature Monitor

MinAvgMaxP-State powersave51.054.867.0P-State performance55.059.670.0intel_cpufreq schedutil53.057.669.0intel_cpufreq performance56.060.371.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OSPray

CPU Temperature Monitor

MinAvgMaxP-State powersave45.058.969.0P-State performance52.063.371.0intel_cpufreq schedutil47.060.870.0intel_cpufreq performance54.063.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OSPray

CPU Temperature Monitor

MinAvgMaxP-State powersave48.051.061.0P-State performance49.051.554.0intel_cpufreq schedutil47.052.761.0intel_cpufreq performance51.053.155.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

OSPray

CPU Temperature Monitor

MinAvgMaxP-State powersave43.055.869.0P-State performance48.057.870.0intel_cpufreq schedutil45.058.972.0intel_cpufreq performance50.059.572.0OpenBenchmarking.orgCelsius, Fewer Is BetterOSPray 1.8.5CPU Temperature Monitor20406080100

Embree

CPU Temperature Monitor

MinAvgMaxP-State powersave52.062.470.0P-State performance55.063.771.0intel_cpufreq schedutil57.065.471.0intel_cpufreq performance56.065.372.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

Embree

CPU Temperature Monitor

MinAvgMaxP-State powersave52.056.466.0P-State performance54.057.567.0intel_cpufreq schedutil54.058.870.0intel_cpufreq performance55.058.868.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

Embree

CPU Temperature Monitor

MinAvgMaxP-State powersave50.060.567.0P-State performance53.064.471.0intel_cpufreq schedutil53.062.569.0intel_cpufreq performance54.065.571.0OpenBenchmarking.orgCelsius, Fewer Is BetterEmbree 3.13CPU Temperature Monitor20406080100

Intel Open Image Denoise

CPU Temperature Monitor

MinAvgMaxP-State powersave49.058.168.0P-State performance55.062.173.0intel_cpufreq schedutil50.060.172.0intel_cpufreq performance55.062.772.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

Intel Open Image Denoise

CPU Temperature Monitor

MinAvgMaxP-State powersave46.056.967.0P-State performance52.059.869.0intel_cpufreq schedutil50.059.872.0intel_cpufreq performance54.060.269.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

Intel Open Image Denoise

CPU Temperature Monitor

MinAvgMaxP-State powersave45.060.372.0P-State performance52.061.372.0intel_cpufreq schedutil48.063.072.0intel_cpufreq performance53.062.872.0OpenBenchmarking.orgCelsius, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Temperature Monitor20406080100

OpenVKL

CPU Temperature Monitor

MinAvgMaxP-State powersave38.043.556.0P-State performance48.054.265.0intel_cpufreq schedutil42.047.961.0intel_cpufreq performance51.056.669.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

OpenVKL

CPU Temperature Monitor

MinAvgMaxP-State powersave38.042.952.0P-State performance47.049.859.0intel_cpufreq schedutil41.044.955.0intel_cpufreq performance50.052.667.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

OpenVKL

CPU Temperature Monitor

MinAvgMaxP-State powersave39.050.056.0P-State performance46.053.960.0intel_cpufreq schedutil40.052.162.0intel_cpufreq performance48.055.762.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

OpenVKL

CPU Temperature Monitor

MinAvgMaxP-State powersave43.047.655.0P-State performance46.050.562.0intel_cpufreq schedutil42.048.156.0intel_cpufreq performance45.046.958.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenVKL 0.9CPU Temperature Monitor20406080100

Kvazaar

CPU Temperature Monitor

MinAvgMaxP-State powersave38.040.643.0P-State performance48.058.665.0intel_cpufreq schedutil38.040.943.0intel_cpufreq performance46.058.266.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100

Kvazaar

CPU Temperature Monitor

MinAvgMaxP-State powersave36.038.339.0P-State performance54.060.765.0intel_cpufreq schedutil37.038.739.0intel_cpufreq performance54.060.663.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100

libavif avifenc

CPU Temperature Monitor

MinAvgMaxP-State powersave35.054.171.0P-State performance51.053.858.0intel_cpufreq schedutil35.055.169.0intel_cpufreq performance55.061.973.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor20406080100

libavif avifenc

CPU Temperature Monitor

MinAvgMaxP-State powersave38.041.746.0P-State performance46.047.749.0intel_cpufreq schedutil40.045.451.0intel_cpufreq performance52.054.156.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1632486480

libavif avifenc

CPU Temperature Monitor

MinAvgMaxP-State powersave36.039.150.0P-State performance44.045.346.0intel_cpufreq schedutil38.040.743.0intel_cpufreq performance47.049.552.0OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature Monitor1530456075

PJSIP

CPU Temperature Monitor

MinAvgMaxP-State powersave33.034.536.0P-State performance44.044.345.0intel_cpufreq schedutil35.036.538.0intel_cpufreq performance47.051.353.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1530456075

PJSIP

CPU Temperature Monitor

MinAvgMaxP-State powersave32.041.244.0P-State performance43.044.549.0intel_cpufreq schedutil34.054.764.0intel_cpufreq performance48.052.861.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor20406080100

PJSIP

CPU Temperature Monitor

MinAvgMaxP-State powersave32.033.739.0P-State performance44.046.449.0intel_cpufreq schedutil32.036.655.0intel_cpufreq performance51.053.557.0OpenBenchmarking.orgCelsius, Fewer Is BetterPJSIP 2.11CPU Temperature Monitor1632486480

Timed Godot Game Engine Compilation

CPU Temperature Monitor

MinAvgMaxP-State powersave33.044.363.0P-State performance44.054.967.0intel_cpufreq schedutil32.053.668.0intel_cpufreq performance49.057.070.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Temperature Monitor20406080100

Timed Linux Kernel Compilation

CPU Temperature Monitor

MinAvgMaxP-State powersave40.051.966.0P-State performance50.057.668.0intel_cpufreq schedutil45.057.970.0intel_cpufreq performance51.059.269.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Temperature Monitor20406080100

Timed Mesa Compilation

CPU Temperature Monitor

MinAvgMaxP-State powersave43.052.063.0P-State performance52.056.268.0intel_cpufreq schedutil46.054.365.0intel_cpufreq performance52.057.367.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Mesa Compilation 21.0CPU Temperature Monitor20406080100

Timed LLVM Compilation

CPU Temperature Monitor

MinAvgMaxP-State powersave42.062.077.0P-State performance50.066.080.0intel_cpufreq schedutil44.063.676.0intel_cpufreq performance51.066.978.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature Monitor20406080100

Timed LLVM Compilation

CPU Temperature Monitor

MinAvgMaxP-State powersave40.060.376.0P-State performance49.064.676.0intel_cpufreq schedutil42.062.975.0intel_cpufreq performance50.064.476.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature Monitor20406080100

Timed Node.js Compilation

CPU Temperature Monitor

MinAvgMaxP-State powersave44.061.075.0P-State performance52.066.276.0intel_cpufreq schedutil49.064.775.0intel_cpufreq performance54.065.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Node.js Compilation 15.11CPU Temperature Monitor20406080100

Liquid-DSP

CPU Temperature Monitor

MinAvgMaxP-State powersave44.065.974.0P-State performance53.068.274.0intel_cpufreq schedutil45.065.976.0intel_cpufreq performance53.064.575.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

Liquid-DSP

CPU Temperature Monitor

MinAvgMaxP-State powersave47.067.473.0P-State performance51.068.074.0intel_cpufreq schedutil49.067.974.0intel_cpufreq performance53.068.273.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

Liquid-DSP

CPU Temperature Monitor

MinAvgMaxP-State powersave52.069.775.0P-State performance55.070.574.0intel_cpufreq schedutil55.070.575.0intel_cpufreq performance55.069.975.0OpenBenchmarking.orgCelsius, Fewer Is BetterLiquid-DSP 2021.01.31CPU Temperature Monitor20406080100

Blender

CPU Temperature Monitor

MinAvgMaxP-State powersave53.067.675.0P-State performance56.068.674.0intel_cpufreq schedutil56.068.474.0intel_cpufreq performance56.069.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature Monitor20406080100

Blender

CPU Temperature Monitor

MinAvgMaxP-State powersave50.071.876.0P-State performance57.073.077.0intel_cpufreq schedutil52.072.578.0intel_cpufreq performance57.073.478.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature Monitor20406080100

Blender

CPU Temperature Monitor

MinAvgMaxP-State powersave49.069.875.0P-State performance54.071.976.0intel_cpufreq schedutil52.070.276.0intel_cpufreq performance55.071.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature Monitor20406080100

PostgreSQL pgbench

CPU Temperature Monitor

MinAvgMaxP-State powersave41.046.652.0P-State performance44.049.057.0intel_cpufreq schedutil39.044.750.0intel_cpufreq performance48.051.358.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480

PostgreSQL pgbench

CPU Temperature Monitor

MinAvgMaxP-State powersave39.045.355.0P-State performance45.048.663.0intel_cpufreq schedutil37.047.162.0intel_cpufreq performance50.054.067.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

PostgreSQL pgbench

CPU Temperature Monitor

MinAvgMaxP-State powersave39.043.247.0P-State performance45.047.356.0intel_cpufreq schedutil42.047.357.0intel_cpufreq performance50.052.862.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

PostgreSQL pgbench

CPU Temperature Monitor

MinAvgMaxP-State powersave39.050.866.0P-State performance45.048.562.0intel_cpufreq schedutil41.051.365.0intel_cpufreq performance49.055.267.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor20406080100

Stockfish

CPU Temperature Monitor

MinAvgMaxP-State powersave47.065.874.0P-State performance49.066.173.0intel_cpufreq schedutil47.070.576.0intel_cpufreq performance53.069.376.0OpenBenchmarking.orgCelsius, Fewer Is BetterStockfish 13CPU Temperature Monitor20406080100

NWChem

CPU Temperature Monitor

MinAvgMaxP-State powersave52.072.478.0P-State performance55.070.579.0intel_cpufreq schedutil53.070.576.0intel_cpufreq performance58.070.777.0OpenBenchmarking.orgCelsius, Fewer Is BetterNWChem 7.0.2CPU Temperature Monitor20406080100

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.06130.12260.18390.24520.3065SE +/- 0.00040, N = 3SE +/- 0.00055, N = 3SE +/- 0.00043, N = 3SE +/- 0.00021, N = 30.270930.271680.272270.27051

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance9K18K27K36K45KSE +/- 711.79, N = 12SE +/- 117.93, N = 3SE +/- 352.77, N = 3SE +/- 61.65, N = 341126.833656.335239.033581.3

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance120K240K360K480K600KSE +/- 1289.77, N = 3SE +/- 2262.00, N = 3SE +/- 1875.50, N = 3SE +/- 491.89, N = 3572065572149571632572679

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance150K300K450K600K750KSE +/- 5220.61, N = 3SE +/- 2267.77, N = 3SE +/- 2013.17, N = 3SE +/- 6399.11, N = 3682153663707672254677421

ArrayFire

Test: Conjugate Gradient CPU

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance246810SE +/- 0.067, N = 15SE +/- 0.068, N = 15SE +/- 0.088, N = 15SE +/- 0.128, N = 154.2926.1316.4544.0051. (CXX) g++ options: -rdynamic

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.96371.92742.89113.85484.8185SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.035, N = 3SE +/- 0.004, N = 34.2831.5882.7401.5941. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.05760.11520.17280.23040.288SE +/- 0.005, N = 15SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.2560.0810.0810.0811. (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 - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1000 - Clients: 250 - Mode: Read Write - Average LatencyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.071, N = 3SE +/- 0.023, N = 3SE +/- 0.017, N = 3SE +/- 0.023, N = 310.7233.7743.8143.7911. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance0.06480.12960.19440.25920.324SE +/- 0.002, N = 15SE +/- 0.003, N = 3SE +/- 0.005, N = 15SE +/- 0.006, N = 150.2770.2710.2850.2881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenFOAM

Input: Motorbike 30M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance48121620SE +/- 0.06, N = 3SE +/- 0.15, N = 15SE +/- 0.14, N = 7SE +/- 0.01, N = 314.9214.7915.0714.491. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 3SE +/- 0.16, N = 3105.03104.76105.10104.271. (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

WRF

Input: conus 2.5km

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance2K4K6K8K10K9892.429885.569889.919875.261. (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

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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance3691215SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 411.1911.0611.2111.061. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance60120180240300SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3290.41290.14290.42289.981. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance30060090012001500SE +/- 19.34, N = 9SE +/- 1.74, N = 3SE +/- 22.92, N = 9SE +/- 17.96, N = 91106.691178.521156.491175.691. (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

RELION

Test: Basic - Device: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance80160240320400SE +/- 1.16, N = 3SE +/- 1.34, N = 3SE +/- 1.38, N = 3SE +/- 1.39, N = 3350.27349.99349.44349.031. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.08612.17223.25834.34445.4305SE +/- 0.041, N = 15SE +/- 0.036, N = 8SE +/- 0.014, N = 8SE +/- 0.019, N = 84.8274.7464.7104.7291. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.23, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.47, N = 339.8239.4239.2039.751. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075SE +/- 0.69, N = 6SE +/- 0.64, N = 12SE +/- 1.35, N = 15SE +/- 0.69, N = 1569.0546.3663.2947.111. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance246810SE +/- 0.058, N = 15SE +/- 0.078, N = 15SE +/- 0.044, N = 6SE +/- 0.076, N = 67.7107.8167.7127.7271. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.44, N = 3SE +/- 0.01, N = 3SE +/- 0.27, N = 3SE +/- 0.52, N = 3104.34104.19104.18104.091. (CXX) g++ options: -O2 -lOpenCL

libavif avifenc

Encoder Speed: 6, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, LosslessP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance918273645SE +/- 0.28, N = 15SE +/- 0.22, N = 3SE +/- 0.41, N = 3SE +/- 0.20, N = 337.4730.3531.9930.011. (CXX) g++ options: -O3 -fPIC -lm

libavif avifenc

Encoder Speed: 10

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 10P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1.17112.34223.51334.68445.8555SE +/- 0.099, N = 15SE +/- 0.014, N = 8SE +/- 0.066, N = 15SE +/- 0.013, N = 85.2054.3415.1344.3401. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance246810SE +/- 0.141, N = 15SE +/- 0.031, N = 6SE +/- 0.124, N = 15SE +/- 0.040, N = 68.8337.2488.4867.2761. (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 powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.95, N = 3SE +/- 0.18, N = 3SE +/- 0.49, N = 3SE +/- 0.28, N = 375.6148.1653.0048.65

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To CompileP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance612182430SE +/- 0.38, N = 15SE +/- 0.24, N = 5SE +/- 0.19, N = 14SE +/- 0.19, N = 724.8821.4922.1921.41

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To CompileP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 318.9818.5018.7518.52

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: NinjaP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance306090120150SE +/- 0.40, N = 3SE +/- 0.50, N = 3SE +/- 0.14, N = 3SE +/- 0.45, N = 3129.27127.32127.69127.33

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix MakefilesP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4080120160200SE +/- 1.18, N = 3SE +/- 1.07, N = 3SE +/- 1.14, N = 3SE +/- 0.59, N = 3199.40190.69191.17191.80

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To CompileP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.59, N = 3SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.49, N = 3102.2090.8591.8691.08

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: BMW27 - Compute: CPU-OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance714212835SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.15, N = 329.7228.4029.2528.28

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Classroom - Compute: CPU-OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1632486480SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 372.1771.2772.2471.22

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.92Blend File: Barbershop - Compute: CPU-OnlyP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance20406080100SE +/- 0.44, N = 3SE +/- 0.34, N = 3SE +/- 0.55, N = 3SE +/- 0.20, N = 3107.73105.10107.39104.51

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance4008001200160020001882.31888.21880.01882.21. (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

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave62.1403.4562.2P-State performance142.1435.1592.6intel_cpufreq schedutil62.8403.4562.6intel_cpufreq performance137.8443.9612.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor160320480640800

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave68.7142.0325.6P-State performance166.2274.7393.6intel_cpufreq schedutil103.0198.4382.4intel_cpufreq performance175.0266.5346.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor110220330440550

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave68.1415.6569.8P-State performance165.5457.8585.0intel_cpufreq schedutil72.0429.9565.8intel_cpufreq performance184.4462.4576.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor160320480640800

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave76.0306.9553.3P-State performance172.6352.7574.1intel_cpufreq schedutil116.2328.4543.4intel_cpufreq performance177.4343.0548.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave84.6365.6554.0P-State performance190.2425.4593.0intel_cpufreq schedutil134.8380.3554.5intel_cpufreq performance195.4419.7579.6OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor160320480640800

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave104.7250.7444.1P-State performance151.7334.2435.1intel_cpufreq schedutil103.8261.7454.3intel_cpufreq performance196.0330.8404.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave95.4413.3571.9P-State performance193.4451.1596.8intel_cpufreq schedutil94.7409.2564.8intel_cpufreq performance191.4456.3597.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor160320480640800

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave89.1343.0549.9P-State performance189.4389.2549.9intel_cpufreq schedutil121.9356.0540.0intel_cpufreq performance191.3382.7557.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave95.5171.7333.1P-State performance151.1290.9431.5intel_cpufreq schedutil78.8218.2471.0intel_cpufreq performance188.3281.2385.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMaxP-State powersave56.5287.9551.8P-State performance178.9346.2549.4intel_cpufreq schedutil70.7305.9510.9intel_cpufreq performance182.4341.8554.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxP-State powersave94309570P-State performance158384578intel_cpufreq schedutil91350570intel_cpufreq performance152395641OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor2004006008001000

OpenFOAM

CPU Power Consumption Monitor

MinAvgMaxP-State powersave81.1392.5569.6P-State performance153.9418.2568.3intel_cpufreq schedutil125.3401.3568.2intel_cpufreq performance172.9415.8568.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor140280420560700

WRF

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 143.32 / Avg: 534.46 / Max: 576.03Min: 170.31 / Avg: 533.23 / Max: 579.12Min: 153.97 / Avg: 535.42 / Max: 576.31Min: 152.56 / Avg: 535.01 / Max: 577.46

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxP-State powersave111.3393.9566.7P-State performance214.2429.1570.9intel_cpufreq schedutil180.2396.0567.6intel_cpufreq performance160.8422.8573.1OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor140280420560700

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMaxP-State powersave138.7530.0567.2P-State performance185.0533.6582.5intel_cpufreq schedutil95.3533.2570.3intel_cpufreq performance180.8533.5577.7OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor160320480640800

ArrayFire

CPU Power Consumption Monitor

MinAvgMaxP-State powersave151.4352.8502.8P-State performance193.5373.0497.4intel_cpufreq schedutil142.1362.1489.2intel_cpufreq performance162.2371.0504.1OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor130260390520650

ArrayFire

CPU Power Consumption Monitor

MinAvgMaxP-State powersave89.3183.1264.3P-State performance160.3246.2325.3intel_cpufreq schedutil136.6221.0305.9intel_cpufreq performance153.7243.0320.9OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption Monitor80160240320400

High Performance Conjugate Gradient

CPU Power Consumption Monitor

MinAvgMaxP-State powersave101.0525.4566.6P-State performance192.8531.4567.4intel_cpufreq schedutil148.5526.9567.0intel_cpufreq performance185.0529.9567.5OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption Monitor140280420560700

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMaxP-State powersave124.1531.5568.5P-State performance191.2535.5569.6intel_cpufreq schedutil149.4532.5567.5intel_cpufreq performance189.0534.9577.7OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor140280420560700

NAMD

CPU Power Consumption Monitor

MinAvgMaxP-State powersave129477647P-State performance189456636intel_cpufreq schedutil145429609intel_cpufreq performance162459635OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor2004006008001000

GROMACS

CPU Power Consumption Monitor

MinAvgMaxP-State powersave63445722P-State performance71461575intel_cpufreq schedutil178461571intel_cpufreq performance155465570OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption Monitor2004006008001000

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxP-State powersave154.5447.7550.4P-State performance179.5454.5548.4intel_cpufreq schedutil124.6452.1549.9intel_cpufreq performance207.9451.6544.9OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxP-State powersave99.4439.7539.2P-State performance156.5446.0541.2intel_cpufreq schedutil111.1447.2540.9intel_cpufreq performance204.1447.9541.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxP-State powersave138.0422.6516.0P-State performance190.2421.2500.4intel_cpufreq schedutil185.5423.7515.2intel_cpufreq performance155.3421.8507.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor130260390520650

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxP-State powersave116.2460.3567.1P-State performance187.4459.1563.8intel_cpufreq schedutil196.6462.3560.9intel_cpufreq performance175.7462.8568.1OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700

ONNX Runtime

CPU Power Consumption Monitor

MinAvgMaxP-State powersave134.9446.2551.9P-State performance154.6448.2538.5intel_cpufreq schedutil171.1451.4550.5intel_cpufreq performance182.9451.8550.2OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor140280420560700

Quantum ESPRESSO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance110220330440550Min: 79.28 / Avg: 433.06 / Max: 589.04Min: 160.57 / Avg: 445.81 / Max: 620.76Min: 103.54 / Avg: 441.63 / Max: 586.01Min: 175.37 / Avg: 445.55 / Max: 632.58

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Power Consumption Monitor

MinAvgMaxP-State powersave62.2182.8261.7P-State performance211.6270.2317.9intel_cpufreq schedutil75.6197.0300.8intel_cpufreq performance209.8267.7311.3OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor80160240320400

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Power Consumption Monitor

MinAvgMaxP-State powersave54.6167.0233.4P-State performance149.0234.2277.2intel_cpufreq schedutil73.0171.9241.8intel_cpufreq performance148.3233.7287.4OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor70140210280350

Darmstadt Automotive Parallel Heterogeneous Suite

CPU Power Consumption Monitor

MinAvgMaxP-State powersave80.0155.7242.9P-State performance160.0263.4291.5intel_cpufreq schedutil60.9155.0248.1intel_cpufreq performance154.1263.4299.3OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitor80160240320400

RELION

CPU Power Consumption Monitor

MinAvgMaxP-State powersave66.9530.9618.2P-State performance169.7535.5615.0intel_cpufreq schedutil65.2534.0616.2intel_cpufreq performance150.2534.9618.2OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption Monitor160320480640800

TensorFlow Lite

CPU Power Consumption Monitor

MinAvgMaxP-State powersave131.0517.4615.0P-State performance202.3520.5620.3intel_cpufreq schedutil190.6514.3606.9intel_cpufreq performance149.4516.0608.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor160320480640800

TensorFlow Lite

CPU Power Consumption Monitor

MinAvgMaxP-State powersave149511635P-State performance152516640intel_cpufreq schedutil133512626intel_cpufreq performance154517637OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor2004006008001000

TensorFlow Lite

CPU Power Consumption Monitor

MinAvgMaxP-State powersave142.3503.7615.6P-State performance201.4519.2613.3intel_cpufreq schedutil188.1514.1611.8intel_cpufreq performance194.4518.9616.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor160320480640800

Rodinia

CPU Power Consumption Monitor

MinAvgMaxP-State powersave119.5287.3496.8P-State performance193.7311.0390.8intel_cpufreq schedutil184.6297.3483.2intel_cpufreq performance194.1298.0490.6OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor130260390520650

Rodinia

CPU Power Consumption Monitor

MinAvgMaxP-State powersave117449619P-State performance184457637intel_cpufreq schedutil139464629intel_cpufreq performance182463633OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor2004006008001000

Rodinia

CPU Power Consumption Monitor

MinAvgMaxP-State powersave71.3180.5301.3P-State performance191.0348.5420.4intel_cpufreq schedutil59.9223.2369.5intel_cpufreq performance157.2348.3425.7OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor110220330440550

Rodinia

CPU Power Consumption Monitor

MinAvgMaxP-State powersave55.0332.0522.3P-State performance150.9343.8499.3intel_cpufreq schedutil69.0316.0481.9intel_cpufreq performance189.0331.2492.1OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor130260390520650

Rodinia

CPU Power Consumption Monitor

MinAvgMaxP-State powersave82.7251.2526.1P-State performance149.6264.0525.2intel_cpufreq schedutil102.4256.6517.5intel_cpufreq performance179.6264.8537.0OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor140280420560700

SVT-AV1

CPU Power Consumption Monitor

MinAvgMaxP-State powersave56.4156.5236.6P-State performance185.5305.7490.5intel_cpufreq schedutil74.6193.4332.0intel_cpufreq performance162.8306.0496.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor130260390520650

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxP-State powersave54.7115.2180.8P-State performance193.9255.3332.3intel_cpufreq schedutil68.6133.7182.9intel_cpufreq performance175.6254.1330.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor80160240320400

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMaxP-State powersave53.698.1138.3P-State performance149.6227.0275.3intel_cpufreq schedutil56.9117.6166.9intel_cpufreq performance161.5228.4274.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor70140210280350

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxP-State powersave53.7106.5160.7P-State performance171.6236.0292.6intel_cpufreq schedutil64.8125.4194.5intel_cpufreq performance158.6238.2290.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350

SVT-VP9

CPU Power Consumption Monitor

MinAvgMaxP-State powersave53.7104.0158.2P-State performance152.0231.2283.3intel_cpufreq schedutil61.7129.3201.5intel_cpufreq performance176.9232.4289.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor70140210280350

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxP-State powersave53.6105.0116.9P-State performance190.4249.4290.0intel_cpufreq schedutil62.7104.3119.1intel_cpufreq performance148.3246.5288.9OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor70140210280350

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxP-State powersave67.7104.9115.9P-State performance186.2255.5299.2intel_cpufreq schedutil67.0105.1114.8intel_cpufreq performance181.7257.1310.9OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor80160240320400

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxP-State powersave54.3114.4126.6P-State performance148.8283.3319.8intel_cpufreq schedutil60.7111.7120.3intel_cpufreq performance153.7285.8321.6OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor80160240320400

AOM AV1

CPU Power Consumption Monitor

MinAvgMaxP-State powersave54.6125.5223.4P-State performance203.7301.4346.5intel_cpufreq schedutil64.3160.5249.6intel_cpufreq performance188.6303.1339.2OpenBenchmarking.orgWatts, Fewer Is BetterAOM AV1 3.1CPU Power Consumption Monitor100200300400500

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxP-State powersave67.7233.5355.4P-State performance150.3263.0417.7intel_cpufreq schedutil67.8237.4377.1intel_cpufreq performance149.9260.3397.2OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor110220330440550

Zstd Compression

CPU Power Consumption Monitor

MinAvgMaxP-State powersave69.3217.3300.8P-State performance150.3241.4314.1intel_cpufreq schedutil56.0220.9303.6intel_cpufreq performance179.5239.9319.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.0CPU Power Consumption Monitor80160240320400

OSPray

CPU Power Consumption Monitor

MinAvgMaxP-State powersave69.6194.7334.6P-State performance174.6314.4422.6intel_cpufreq schedutil70.1194.9328.7intel_cpufreq performance154.4305.6423.6OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor110220330440550

OSPray

CPU Power Consumption Monitor

MinAvgMaxP-State powersave67.5367.6594.2P-State performance151.3403.8607.2intel_cpufreq schedutil68.1393.1604.2intel_cpufreq performance206.0414.6603.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor160320480640800

OSPray

CPU Power Consumption Monitor

MinAvgMaxP-State powersave142.0430.1597.4P-State performance160.8444.9606.8intel_cpufreq schedutil164.3440.0605.9intel_cpufreq performance189.9449.5597.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor160320480640800

OSPray

CPU Power Consumption Monitor

MinAvgMaxP-State powersave92.4204.5351.9P-State performance153.5274.6384.7intel_cpufreq schedutil95.1236.6359.0intel_cpufreq performance155.8278.3386.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor100200300400500

OSPray

CPU Power Consumption Monitor

MinAvgMaxP-State powersave67.6368.0608.4P-State performance189.3387.6594.0intel_cpufreq schedutil81.8361.3543.3intel_cpufreq performance152.7394.0593.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor160320480640800

OSPray

CPU Power Consumption Monitor

MinAvgMaxP-State powersave112.6203.9296.9P-State performance166.4226.3422.1intel_cpufreq schedutil91.4206.0408.3intel_cpufreq performance178.3227.4428.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor110220330440550

OSPray

CPU Power Consumption Monitor

MinAvgMaxP-State powersave59.2323.6599.8P-State performance149.2340.5585.7intel_cpufreq schedutil73.2331.0607.4intel_cpufreq performance155.3347.7589.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor160320480640800

Embree

CPU Power Consumption Monitor

MinAvgMaxP-State powersave141.2368.4592.4P-State performance154.3392.3597.7intel_cpufreq schedutil157.4374.6575.1intel_cpufreq performance166.4402.7597.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor160320480640800

Embree

CPU Power Consumption Monitor

MinAvgMaxP-State powersave102.3284.4554.8P-State performance163.0305.7571.3intel_cpufreq schedutil128.2293.2576.1intel_cpufreq performance151.5310.0582.8OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor160320480640800

Embree

CPU Power Consumption Monitor

MinAvgMaxP-State powersave109.8362.7513.8P-State performance198.9399.5489.3intel_cpufreq schedutil121.3340.0510.0intel_cpufreq performance191.2410.3575.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxP-State powersave84.7307.4558.3P-State performance154.8346.3560.7intel_cpufreq schedutil59.7321.9551.2intel_cpufreq performance158.5349.7562.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor140280420560700

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxP-State powersave71.7336.6551.4P-State performance159.5346.4561.4intel_cpufreq schedutil89.9324.7557.4intel_cpufreq performance179.4341.8560.5OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor140280420560700

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMaxP-State powersave75.2357.4558.0P-State performance151.6384.8559.5intel_cpufreq schedutil92.3363.8561.6intel_cpufreq performance186.9380.7559.6OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor140280420560700

OpenVKL

CPU Power Consumption Monitor

MinAvgMaxP-State powersave66.8189.5352.9P-State performance176.7280.1541.6intel_cpufreq schedutil72.2196.4369.2intel_cpufreq performance177.1281.8555.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor140280420560700

OpenVKL

CPU Power Consumption Monitor

MinAvgMaxP-State powersave70.7169.6254.7P-State performance150.8241.8326.7intel_cpufreq schedutil69.4186.5255.9intel_cpufreq performance171.6244.5315.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor80160240320400

OpenVKL

CPU Power Consumption Monitor

MinAvgMaxP-State powersave56.5241.8276.8P-State performance166.0286.9341.6intel_cpufreq schedutil61.0235.9281.7intel_cpufreq performance150.1286.1358.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor100200300400500

OpenVKL

CPU Power Consumption Monitor

MinAvgMaxP-State powersave70.7176.4222.9P-State performance147.7238.6361.2intel_cpufreq schedutil71.3198.8249.7intel_cpufreq performance160.5237.6341.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor100200300400500

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxP-State powersave67.1139.8156.9P-State performance211.4388.5491.7intel_cpufreq schedutil70.9134.1148.8intel_cpufreq performance169.5382.7492.0OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor130260390520650

Kvazaar

CPU Power Consumption Monitor

MinAvgMaxP-State powersave57.1133.2155.1P-State performance183.3343.8438.5intel_cpufreq schedutil55.9132.0150.2intel_cpufreq performance191.2335.5439.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor120240360480600

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxP-State powersave68.2268.1414.9P-State performance151.5312.4462.5intel_cpufreq schedutil68.2281.5459.7intel_cpufreq performance166.8314.9476.7OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor120240360480600

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxP-State powersave62.5127.9203.2P-State performance154.9207.2244.0intel_cpufreq schedutil58.2142.6217.8intel_cpufreq performance149.6209.4244.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor60120180240300

libavif avifenc

CPU Power Consumption Monitor

MinAvgMaxP-State powersave61.8132.4209.6P-State performance174.7208.8243.2intel_cpufreq schedutil71.0148.0226.2intel_cpufreq performance176.2208.8247.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor60120180240300

PJSIP

CPU Power Consumption Monitor

MinAvgMaxP-State powersave62.598.9107.7P-State performance185.9225.9244.3intel_cpufreq schedutil63.599.3109.9intel_cpufreq performance167.0230.7260.3OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor70140210280350

PJSIP

CPU Power Consumption Monitor

MinAvgMaxP-State powersave68.2237.8275.4P-State performance181.0259.9289.3intel_cpufreq schedutil67.5251.4286.7intel_cpufreq performance183.3263.7291.9OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor70140210280350

PJSIP

CPU Power Consumption Monitor

MinAvgMaxP-State powersave59.1103.7116.6P-State performance166.8231.8281.1intel_cpufreq schedutil60.9107.6231.7intel_cpufreq performance184.2235.0256.4OpenBenchmarking.orgWatts, Fewer Is BetterPJSIP 2.11CPU Power Consumption Monitor70140210280350

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMaxP-State powersave75.2239.0575.6P-State performance179.1342.3599.5intel_cpufreq schedutil67.5304.2563.4intel_cpufreq performance160.0344.2580.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor160320480640800

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMaxP-State powersave59255630P-State performance167337635intel_cpufreq schedutil81319635intel_cpufreq performance180338641OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Power Consumption Monitor2004006008001000

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMaxP-State powersave80.3259.4495.4P-State performance171.9313.3623.7intel_cpufreq schedutil65.1271.5488.7intel_cpufreq performance189.9301.5617.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor160320480640800

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxP-State powersave71.4379.5618.6P-State performance178.6430.6612.2intel_cpufreq schedutil79.9401.9622.4intel_cpufreq performance156.8431.5617.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor160320480640800

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMaxP-State powersave76346598P-State performance184392610intel_cpufreq schedutil89370606intel_cpufreq performance185393629OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor2004006008001000

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMaxP-State powersave75367608P-State performance153427615intel_cpufreq schedutil131414632intel_cpufreq performance191428625OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption Monitor2004006008001000

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxP-State powersave57.2448.6567.9P-State performance178.1479.6584.3intel_cpufreq schedutil75.6466.6591.2intel_cpufreq performance212.4477.3581.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor160320480640800

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxP-State powersave101.4473.1582.5P-State performance148.2466.9588.2intel_cpufreq schedutil157.2466.3582.9intel_cpufreq performance168.0471.4579.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor160320480640800

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMaxP-State powersave157.2462.2625.0P-State performance196.5466.9607.3intel_cpufreq schedutil169.3468.7615.2intel_cpufreq performance196.4465.1607.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor160320480640800

Blender

CPU Power Consumption Monitor

MinAvgMaxP-State powersave147424635P-State performance161451609intel_cpufreq schedutil149437595intel_cpufreq performance159452618OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxP-State powersave98508636P-State performance164516627intel_cpufreq schedutil113508624intel_cpufreq performance195518638OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor2004006008001000

Blender

CPU Power Consumption Monitor

MinAvgMaxP-State powersave93490623P-State performance188512623intel_cpufreq schedutil140492619intel_cpufreq performance171511631OpenBenchmarking.orgWatts, Fewer Is BetterBlender 2.92CPU Power Consumption Monitor2004006008001000

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxP-State powersave69.8175.7221.6P-State performance154.0236.4436.7intel_cpufreq schedutil55.9187.1309.9intel_cpufreq performance150.2238.2441.8OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor120240360480600

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxP-State powersave55.2180.9370.2P-State performance150.4256.1607.4intel_cpufreq schedutil68.6244.4617.1intel_cpufreq performance148.4260.2604.2OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor160320480640800

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxP-State powersave56.0170.9220.2P-State performance152.8240.5481.6intel_cpufreq schedutil60.8227.0477.6intel_cpufreq performance151.9243.7478.4OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor120240360480600

PostgreSQL pgbench

CPU Power Consumption Monitor

MinAvgMaxP-State powersave55.0231.4606.4P-State performance161.8257.1600.0intel_cpufreq schedutil65.3245.6612.1intel_cpufreq performance148.8257.7600.3OpenBenchmarking.orgWatts, Fewer Is BetterPostgreSQL pgbench 13.0CPU Power Consumption Monitor160320480640800

Stockfish

CPU Power Consumption Monitor

MinAvgMaxP-State powersave90.8451.3621.5P-State performance201.4468.1625.2intel_cpufreq schedutil88.3476.5620.1intel_cpufreq performance194.9469.1622.5OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor160320480640800

NWChem

CPU Power Consumption Monitor

MinAvgMaxP-State powersave82.9514.5622.8P-State performance213.6516.6576.3intel_cpufreq schedutil130.4515.2593.0intel_cpufreq performance213.9516.6594.5OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption Monitor160320480640800


Phoronix Test Suite v10.8.5