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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2105267-IB-XEONSCALA38
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Identifier
Performance Per
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Date
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  Test
  Duration
P-State powersave
May 23 2021
  15 Hours, 42 Minutes
P-State performance
May 24 2021
  11 Hours, 14 Minutes
intel_cpufreq schedutil
May 24 2021
  15 Hours, 54 Minutes
intel_cpufreq performance
May 25 2021
  13 Hours, 43 Minutes
Invert Behavior (Only Show Selected Data)
  14 Hours, 8 Minutes

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Xeon Scalable Ice Lake P-State GovernorOpenBenchmarking.orgPhoronix Test Suite2 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 10.3.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionXeon Scalable Ice Lake P-State Governor BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - 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: 0xd000270 - Python 3.9.4- 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

P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performanceResult OverviewPhoronix Test Suite100%148%195%243%290%AOM AV1KvazaarPostgreSQL pgbenchSVT-VP9SVT-HEVCSVT-AV1PJSIPTimed Godot Game Engine CompilationDarmstadt Automotive Parallel Heterogeneous SuiteZstd CompressionArrayFireOpenVKLlibavif avifencTimed Linux Kernel CompilationTimed Node.js CompilationRodiniaTensorFlow LiteNAS Parallel BenchmarksQuantum ESPRESSOEmbreeOSPrayBlenderTimed LLVM CompilationIntel Open Image DenoiseTimed Mesa CompilationOpenFOAMONNX RuntimeHigh Performance Conjugate GradientStockfishGROMACSLAMMPS Molecular Dynamics SimulatorLiquid-DSPXcompact3d Incompact3dRELIONNAMDWRFNWChem

P-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performancePer Watt Result OverviewPhoronix Test Suite100%107%113%120%126%AOM AV1NAS Parallel BenchmarksSVT-HEVCIntel Open Image DenoiseOSPrayZstd CompressionKvazaarOpenVKLSVT-AV1StockfishEmbreeArrayFireDarmstadt Automotive Parallel Heterogeneous SuitePJSIPSVT-VP9ONNX RuntimeLiquid-DSPHigh Performance Conjugate GradientGROMACSLAMMPS Molecular Dynamics SimulatorP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

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 performance111.1118.8710.3812590.9127.7810.4230.546168.38258.65206.54210.9223.5917.077.383.94106.621987.209266.525113.2623.0340.13594538.692.852.871.384801968212689850967071974438175726921722326296.082.72563.246.72711.61770311228.99935.4953769414212548302990000032701333333073933333831.33742.306634.58191166.416051.908620.9790989.73174911.02114946.4691313.602999.72116754.1639485.7223383393329234119064340.2709341126.85720656821534.2924.2830.25610.7230.27714.92105.039892.4211.1916566290.4111021106.69350.2664.82739.81569.0497.710104.33937.4695.2058.83375.61224.88118.983129.272199.398102.19729.7272.17107.731882.3114.8118.8710.31142.8610027.7810.4556.887305.77576.99453.67460.4461.0648.6219.099.69107.630789.089574.055138.2146.3140.64714539.992.932.931.40483194839266264778111060564581803840299965391011.986.72561.849.12677.91771314289.05235.825103624238953933066133333329300000030851000001020.77924.8413527.238996430197815.317610.188920.10100543.72187300.47123544.0991817.763014.77120084.2740261.26630491236713664939241900.2716833656.35721496637076.1311.5880.0813.7740.27114.79104.769885.55611.0554509290.1433311178.52349.9934.74639.42346.3587.816104.18530.3454.3417.24848.15721.48618.497127.321190.68590.85028.4071.27105.101888.2111.1118.8710.3112590.9127.7810.3835.480193.80345.48260.25262.7821.7215.905.864.00102.704387.992767.754011.3020.5340.06594510.292.782.881.384831948334675650471877997628174801723599249311.781.52594.746.12693.41754461829.04235.7923797417432540300312500032914666673082533333884.75743.017077.76191705.026157.588634.3091970.99177878.68115501.4191642.332926.26117869.4939430.66365771228570657268853790.2722735239.05716326722546.4542.7400.0813.8140.28515.07105.109889.90711.2054179290.4166971156.49349.4364.71039.19963.2867.712104.18431.9875.1348.48653.00122.19018.754127.688191.17391.85729.2572.24107.391880112.9618.8710.31142.8610027.7810.4256.750309.13574.88457.02464.7161.2748.9119.2010.01106.173689.490574.242038.2646.3440.83114574.832.932.931.40476197838069555038211067046411809667300163181015.883.12609.748.32713.11786294749.10235.849104094233854163072600000329340000030967000001021.62914.7013249.678695875197821.887705.448938.09100763.11186973.06123176.7291830.562978.52120124.0540226.02628261231983661868764620.2705133581.35726796774214.0051.5940.0813.7910.28814.49104.279875.26411.0561748289.9755861175.69349.0284.72939.74647.1057.727104.08830.0144.3407.27648.65121.41018.517127.332191.80191.08128.2871.22104.511882.2OpenBenchmarking.org

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 36 / Avg: 62.03 / Max: 80Min: 28 / Avg: 58.72 / Max: 79Min: 36 / Avg: 63.47 / Max: 78Min: 28 / Avg: 59.65 / Max: 78

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2195 / Avg: 3186.64 / Max: 3518Min: 801 / Avg: 2883.69 / Max: 3537Min: 2162 / Avg: 3195.19 / Max: 3483Min: 801 / Avg: 3003.21 / Max: 3442

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil130260390520650Min: 70.83 / Avg: 413.76 / Max: 639.8Min: 53.58 / Avg: 371.79 / Max: 722.02Min: 137.84 / Avg: 417.23 / Max: 641.13Min: 53.9 / Avg: 368.68 / Max: 634.98

OSPray

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.12850.2570.38550.5140.64250.3650.5710.3700.570

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.01150.0230.03450.0460.05750.0470.0510.0460.048

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.00540.01080.01620.02160.0270.0230.0240.0230.023

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.13750.2750.41250.550.68750.5200.6110.5130.528

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.01730.03460.05190.06920.08650.0720.0750.0710.077

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

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

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

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

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.00720.01440.02160.02880.0360.0310.0320.0300.031

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

SVT-AV1

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

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

SVT-HEVC

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

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

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

SVT-VP9

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

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

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

AOM AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.0560.1120.1680.2240.280.2450.2250.2490.208

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.01510.03020.04530.06040.07550.0670.0650.0670.052

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 3.1Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.00740.01480.02220.02960.0370.0320.0310.0330.025

Embree

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.04480.08960.13440.17920.2240.1850.1830.1810.199

Kvazaar

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.03890.07780.11670.15560.19450.1350.1730.1380.155

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

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

Embree

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.0650.130.1950.260.3250.2740.2890.2640.274

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon ObjP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.06910.13820.20730.27640.34550.2910.3070.2890.300

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google. Learn more via the OpenBenchmarking.org test page.

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

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

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

Embree

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

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

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

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

Kvazaar

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

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

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

High Performance Conjugate Gradient

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

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

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

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

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

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

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.0020.0040.0060.0080.010.0080.0090.0090.009

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x4096P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.00090.00180.00270.00360.00450.0040.0040.0040.004

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

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

ONNX Runtime

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

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

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

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

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

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

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

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

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

OpenVKL

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil0.82241.64482.46723.28964.1122.8963.5362.9143.655

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil90K180K270K360K450K438562.32424481.55436355.85418290.31

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil160032004800640080006287.407267.586326.147409.47

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil30K60K90K120K150K125723.06123147.50126322.91118699.08

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

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

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

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

Zstd Compression

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression SpeedP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil36912159.74010.98010.02610.931

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

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

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

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

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

NAS Parallel Benchmarks

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

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

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

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

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

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

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

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

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

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

OpenFOAM

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

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

WRF

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

Xcompact3d Incompact3d

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

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

ArrayFire

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

LAMMPS Molecular Dynamics Simulator

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

NAMD

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

GROMACS

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

Quantum ESPRESSO

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

Darmstadt Automotive Parallel Heterogeneous Suite

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

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

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

RELION

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

TensorFlow Lite

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

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

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

Rodinia

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

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

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

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

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

libavif avifenc

OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3405.92 / Max: 3442Min: 801 / Avg: 3209.62 / Max: 3409Min: 3403 / Avg: 3404.75 / Max: 3410Min: 1421 / Avg: 3285.46 / Max: 3409

OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3404.2 / Max: 3410Min: 801 / Avg: 2497.91 / Max: 3404Min: 3403 / Avg: 3404.6 / Max: 3410Min: 802 / Avg: 2852.45 / Max: 3404

OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3403.25 / Max: 3404Min: 801 / Avg: 2544.65 / Max: 3404Min: 3403 / Avg: 3404.06 / Max: 3408Min: 802 / Avg: 3112.98 / Max: 3405

PJSIP

OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3404.96 / Max: 3428Min: 801 / Avg: 857.78 / Max: 2300Min: 3400 / Avg: 3406.87 / Max: 3483Min: 802 / Avg: 1510.35 / Max: 2300

OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3403 / Avg: 3406.87 / Max: 3413Min: 801 / Avg: 3164.92 / Max: 3408Min: 3403 / Avg: 3407.66 / Max: 3435Min: 908 / Avg: 3357.09 / Max: 3409

OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3400 / Avg: 3404.16 / Max: 3409Min: 801 / Avg: 963.23 / Max: 3400Min: 3403 / Avg: 3404.52 / Max: 3414Min: 801 / Avg: 1738.34 / Max: 3403

Timed Godot Game Engine Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3100 / Avg: 3368.36 / Max: 3410Min: 802 / Avg: 2935.33 / Max: 3406Min: 3003 / Avg: 3374.19 / Max: 3409Min: 987 / Avg: 3246.2 / Max: 3407

Timed Linux Kernel Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.10.20CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2771 / Avg: 3289.63 / Max: 3409Min: 801 / Avg: 2455.32 / Max: 3405Min: 2870 / Avg: 3269.17 / Max: 3408Min: 2301 / Avg: 3260 / Max: 3408

Timed Mesa Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Mesa Compilation 21.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2948 / Avg: 3346.44 / Max: 3407Min: 801 / Avg: 2918.44 / Max: 3404Min: 3041 / Avg: 3364.13 / Max: 3406Min: 802 / Avg: 3134.17 / Max: 3404

Timed LLVM Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2776 / Avg: 3108.25 / Max: 3408Min: 801 / Avg: 2869.77 / Max: 3404Min: 2775 / Avg: 3097.07 / Max: 3409Min: 1802 / Avg: 3071.29 / Max: 3407

OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2843 / Avg: 3319.04 / Max: 3409Min: 802 / Avg: 3095.38 / Max: 3407Min: 2196 / Avg: 3310.89 / Max: 3413Min: 2302 / Avg: 3299.39 / Max: 3410

Timed Node.js Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 15.11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2806 / Avg: 3149.98 / Max: 3408Min: 801 / Avg: 2947.28 / Max: 3408Min: 2780 / Avg: 3147.34 / Max: 3406Min: 2200 / Avg: 3131.31 / Max: 3408

Liquid-DSP

OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3102 / Avg: 3213.59 / Max: 3404Min: 801 / Avg: 2843.06 / Max: 3300Min: 3100 / Avg: 3242.06 / Max: 3403Min: 1823 / Avg: 3216.32 / Max: 3407

OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2990 / Avg: 3096.47 / Max: 3405Min: 802 / Avg: 2873.18 / Max: 3008Min: 2183 / Avg: 3000.35 / Max: 3408Min: 2880 / Avg: 3066.29 / Max: 3403

OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2958 / Avg: 3071.06 / Max: 3403Min: 801 / Avg: 2836.47 / Max: 3000Min: 2956 / Avg: 3069.12 / Max: 3403Min: 2959 / Avg: 3071.47 / Max: 3404

Blender

OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2793 / Avg: 3139.57 / Max: 3408Min: 801 / Avg: 2703.5 / Max: 3408Min: 2786 / Avg: 3127.35 / Max: 3405Min: 2792 / Avg: 3106.5 / Max: 3406

OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2775 / Avg: 2930.39 / Max: 3405Min: 801 / Avg: 2800.92 / Max: 3400Min: 2774 / Avg: 2917.84 / Max: 3405Min: 2200 / Avg: 2856.23 / Max: 3403

OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2904 / Avg: 3010.14 / Max: 3405Min: 802 / Avg: 2935.94 / Max: 3405Min: 2892 / Avg: 3013.58 / Max: 3408Min: 2301 / Avg: 2976.16 / Max: 3406

PostgreSQL pgbench

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3361.3 / Max: 3413Min: 801 / Avg: 2758.61 / Max: 3405Min: 3000 / Avg: 3366.69 / Max: 3431Min: 1412 / Avg: 3064.14 / Max: 3405

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3354.76 / Max: 3413Min: 801 / Avg: 2821.03 / Max: 3436Min: 3000 / Avg: 3361.95 / Max: 3441Min: 1652 / Avg: 3301.91 / Max: 3405

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3360.3 / Max: 3410Min: 801 / Avg: 2791.53 / Max: 3405Min: 2185 / Avg: 3349.62 / Max: 3409Min: 1827 / Avg: 3302.13 / Max: 3407

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3000 / Avg: 3365.53 / Max: 3407Min: 801 / Avg: 3022.44 / Max: 3437Min: 2190 / Avg: 3355.5 / Max: 3436Min: 958 / Avg: 3317.09 / Max: 3442

Stockfish

OpenBenchmarking.orgMegahertz, More Is BetterStockfish 13CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 2987 / Avg: 3105.74 / Max: 3406Min: 801 / Avg: 2652.11 / Max: 3002Min: 2974 / Avg: 3104.53 / Max: 3405Min: 2173 / Avg: 3060.37 / Max: 3404

NWChem

OpenBenchmarking.orgMegahertz, More Is BetterNWChem 7.0.2CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil6001200180024003000Min: 3003 / Avg: 3016.7 / Max: 3409Min: 801 / Avg: 3006.67 / Max: 3409Min: 3003 / Avg: 3017.71 / Max: 3409Min: 2300 / Avg: 3014.92 / Max: 3409

Stockfish

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 13Total TimeP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil80K160K240K320K400K378389.79392264.24380770.10368173.69

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

GROMACS

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

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

LAMMPS Molecular Dynamics Simulator

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

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

PJSIP

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatefulP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil102030405045.8738.1245.1238.23

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

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: OPTIONS, StatelessP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil4080120160200163.09174.15160.57166.04

OpenBenchmarking.orgResponses Per Second Per Watt, More Is BetterPJSIP 2.11Method: INVITEP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil61218243023.2724.5823.0523.62

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

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

Liquid-DSP

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 57P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1.4M2.8M4.2M5.6M7M6392760.376754065.396437714.606436493.63

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 57P-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1.5M3M4.5M6M7.5M7053355.326911581.206985743.487058626.64

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

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

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

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

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

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

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

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

NAS Parallel Benchmarks

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

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

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

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

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

OpenFOAM

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

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

WRF

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

Xcompact3d Incompact3d

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

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

ArrayFire

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

NAMD

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

Quantum ESPRESSO

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

RELION

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

TensorFlow Lite

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

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

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

Rodinia

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

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

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

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

OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 47 / Avg: 52.41 / Max: 62Min: 47 / Avg: 54.62 / Max: 65Min: 45 / Avg: 51.07 / Max: 62Min: 47 / Avg: 56.03 / Max: 67

libavif avifenc

OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 51 / Avg: 53.75 / Max: 58Min: 35 / Avg: 54.08 / Max: 71Min: 55 / Avg: 61.92 / Max: 73Min: 35 / Avg: 55.08 / Max: 69

OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455Min: 46 / Avg: 47.67 / Max: 49Min: 38 / Avg: 41.72 / Max: 46Min: 52 / Avg: 54.13 / Max: 56Min: 40 / Avg: 45.42 / Max: 51

OpenBenchmarking.orgCelsius, Fewer Is Betterlibavif avifenc 0.9.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1020304050Min: 44 / Avg: 45.31 / Max: 46Min: 36 / Avg: 39.11 / Max: 50Min: 47 / Avg: 49.47 / Max: 52Min: 38 / Avg: 40.71 / Max: 43

Timed Godot Game Engine Compilation

OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 44 / Avg: 54.92 / Max: 67Min: 33 / Avg: 44.28 / Max: 63Min: 49 / Avg: 57.03 / Max: 70Min: 32 / Avg: 53.59 / Max: 68

Timed Linux Kernel Compilation

OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 50 / Avg: 57.63 / Max: 68Min: 40 / Avg: 51.9 / Max: 66Min: 51 / Avg: 59.23 / Max: 69Min: 45 / Avg: 57.89 / Max: 70

Timed Mesa Compilation

OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Mesa Compilation 21.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 52 / Avg: 56.19 / Max: 68Min: 43 / Avg: 52 / Max: 63Min: 52 / Avg: 57.31 / Max: 67Min: 46 / Avg: 54.28 / Max: 65

Timed LLVM Compilation

OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 50 / Avg: 65.97 / Max: 80Min: 42 / Avg: 62.03 / Max: 77Min: 51 / Avg: 66.92 / Max: 78Min: 44 / Avg: 63.55 / Max: 76

OpenBenchmarking.orgCelsius, Fewer Is BetterTimed LLVM Compilation 12.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 49 / Avg: 64.64 / Max: 76Min: 40 / Avg: 60.34 / Max: 76Min: 50 / Avg: 64.4 / Max: 76Min: 42 / Avg: 62.91 / Max: 75

Timed Node.js Compilation

OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Node.js Compilation 15.11CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 52 / Avg: 66.24 / Max: 76Min: 44 / Avg: 61 / Max: 75Min: 54 / Avg: 65.49 / Max: 75Min: 49 / Avg: 64.73 / Max: 75

Blender

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1428425670Min: 56 / Avg: 68.57 / Max: 74Min: 53 / Avg: 67.58 / Max: 75Min: 56 / Avg: 69.39 / Max: 75Min: 56 / Avg: 68.42 / Max: 74

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 57 / Avg: 72.96 / Max: 77Min: 50 / Avg: 71.84 / Max: 76Min: 57 / Avg: 73.36 / Max: 78Min: 52 / Avg: 72.48 / Max: 78

OpenBenchmarking.orgCelsius, Fewer Is BetterBlender 2.92CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 54 / Avg: 71.87 / Max: 76Min: 49 / Avg: 69.77 / Max: 75Min: 55 / Avg: 71.01 / Max: 75Min: 52 / Avg: 70.15 / Max: 76

PostgreSQL pgbench

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1122334455Min: 44 / Avg: 48.99 / Max: 57Min: 41 / Avg: 46.64 / Max: 52Min: 48 / Avg: 51.33 / Max: 58Min: 39 / Avg: 44.66 / Max: 50

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 45 / Avg: 48.57 / Max: 63Min: 39 / Avg: 45.32 / Max: 55Min: 50 / Avg: 54 / Max: 67Min: 37 / Avg: 47.11 / Max: 62

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1224364860Min: 45 / Avg: 47.28 / Max: 56Min: 39 / Avg: 43.18 / Max: 47Min: 50 / Avg: 52.78 / Max: 62Min: 42 / Avg: 47.32 / Max: 57

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1326395265Min: 45 / Avg: 48.52 / Max: 62Min: 39 / Avg: 50.83 / Max: 66Min: 49 / Avg: 55.19 / Max: 67Min: 41 / Avg: 51.26 / Max: 65

NWChem

OpenBenchmarking.orgCelsius, Fewer Is BetterNWChem 7.0.2CPU Temperature MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil1530456075Min: 55 / Avg: 70.49 / Max: 79Min: 52 / Avg: 72.4 / Max: 78Min: 58 / Avg: 70.72 / Max: 77Min: 53 / Avg: 70.52 / Max: 76

NAMD

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

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

TensorFlow Lite

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

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

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

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

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

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

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

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

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

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

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

OpenFOAM

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

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

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

WRF

WRF, the Weather Research and Forecasting Model, is a "next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility." Learn more via the OpenBenchmarking.org test page.

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

Xcompact3d Incompact3d

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

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

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

Quantum ESPRESSO

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

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

RELION

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

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

Rodinia

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

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

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

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

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

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

libavif avifenc

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

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

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

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

Timed Godot Game Engine Compilation

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

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

Timed Linux Kernel Compilation

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

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

Timed Mesa Compilation

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

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

Timed LLVM Compilation

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

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

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

Timed Node.js Compilation

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

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

Blender

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

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

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

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

NWChem

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

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

Geometric Mean Of All Test Results

OpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult Composite - Xeon Scalable Ice Lake P-State GovernorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil50100150200250225.06177.93226.10190.19

235 Results Shown

CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Megahertz
    Watts
  Magnetic Reconnection - SciVis:
    FPS Per Watt
  XFrog Forest - SciVis:
    FPS Per Watt
  XFrog Forest - Path Tracer:
    FPS Per Watt
OSPray
OSPray
OSPray
OSPray
OSPray:
  XFrog Forest - Path Tracer
  NASA Streamlines - SciVis
  San Miguel - SciVis
  NASA Streamlines - Path Tracer
OSPray
OSPray
SVT-AV1
SVT-HEVC:
  7 - Bosphorus 1080p
  10 - Bosphorus 1080p
SVT-VP9:
  PSNR/SSIM Optimized - Bosphorus 1080p
  VMAF Optimized - Bosphorus 1080p
AOM AV1:
  Speed 9 Realtime - Bosphorus 4K
  Speed 6 Realtime - Bosphorus 4K
  Speed 6 Two-Pass - Bosphorus 4K
  Pathtracer ISPC - Crown
  Bosphorus 4K - Ultra Fast
AOM AV1
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
AOM AV1:
  Speed 8 Realtime - Bosphorus 4K
  Speed 6 Realtime - Bosphorus 4K
  Speed 6 Two-Pass - Bosphorus 4K
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
Kvazaar:
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
High Performance Conjugate Gradient
ArrayFire
Intel Open Image Denoise
Intel Open Image Denoise:
  RT.ldr_alb_nrm.3840x2160
  RTLightmap.hdr.4096x4096
Intel Open Image Denoise:
  RT.ldr_alb_nrm.3840x2160
  RTLightmap.hdr.4096x4096
ONNX Runtime:
  yolov4 - OpenMP CPU
  fcn-resnet101-11 - OpenMP CPU
ONNX Runtime:
  shufflenet-v2-10 - OpenMP CPU
  super-resolution-10 - OpenMP CPU
  bertsquad-10 - OpenMP CPU
ONNX Runtime:
  shufflenet-v2-10 - OpenMP CPU
  super-resolution-10 - OpenMP CPU
  bertsquad-10 - OpenMP CPU
OpenVKL:
  vklBenchmark
  vklBenchmarkStructuredVolume
  vklBenchmarkUnstructuredVolume
  vklBenchmarkVdbVolume
OpenVKL:
  vklBenchmark
  vklBenchmarkStructuredVolume
  vklBenchmarkUnstructuredVolume
  vklBenchmarkVdbVolume
Zstd Compression
Zstd Compression:
  8, Long Mode - Compression Speed
  19 - Compression Speed
  19 - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed
NAS Parallel Benchmarks:
  CPU Peak Freq (Highest CPU Core Frequency) Monitor:
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
  Total Time:
    Nodes Per Second Per Watt
Stockfish
GROMACS
GROMACS
LAMMPS Molecular Dynamics Simulator
LAMMPS Molecular Dynamics Simulator
PJSIP
PJSIP
PJSIP:
  OPTIONS, Stateless
  INVITE
PJSIP:
  OPTIONS, Stateless
  INVITE
Liquid-DSP:
  64 - 256 - 57
  128 - 256 - 57
Liquid-DSP:
  64 - 256 - 57
  128 - 256 - 57
  160 - 256 - 57
Darmstadt Automotive Parallel Heterogeneous Suite
Darmstadt Automotive Parallel Heterogeneous Suite
Darmstadt Automotive Parallel Heterogeneous Suite:
  OpenMP - NDT Mapping
  OpenMP - Points2Image
NAS Parallel Benchmarks:
  EP.C
  EP.D
  FT.C
  LU.C
  SP.B
  SP.C
  IS.D
  MG.C
  CG.C
NAS Parallel Benchmarks:
  BT.C
  EP.C
  EP.D
  FT.C
  LU.C
  SP.B
  SP.C
  IS.D
  MG.C
  CG.C
PostgreSQL pgbench:
  1000 - 100 - Read Write
  1000 - 100 - Read Only
  1000 - 250 - Read Write
  1000 - 250 - Read Only
OpenFOAM:
  CPU Temp Monitor:
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
NAMD
TensorFlow Lite:
  Mobilenet Quant
  Inception ResNet V2
  Inception V4
ArrayFire
PostgreSQL pgbench:
  1000 - 100 - Read Write - Average Latency
  1000 - 100 - Read Only - Average Latency
  1000 - 250 - Read Write - Average Latency
  1000 - 250 - Read Only - Average Latency
OpenFOAM:
  Motorbike 30M
  Motorbike 60M
WRF
Xcompact3d Incompact3d:
  input.i3d 193 Cells Per Direction
  X3D-benchmarking input.i3d
Quantum ESPRESSO
RELION
Rodinia:
  OpenMP CFD Solver
  OpenMP LavaMD
  OpenMP Leukocyte
  OpenMP Streamcluster
  OpenMP HotSpot3D
libavif avifenc:
  6, Lossless
  10
  10, Lossless
Timed Godot Game Engine Compilation
Timed Linux Kernel Compilation
Timed Mesa Compilation
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Node.js Compilation
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Barbershop - CPU-Only
NWChem
Geometric Mean Of All Test Results