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

MinAvgMaxP-State performance310732683404P-State powersave80230133300intel_cpufreq performance310732833406intel_cpufreq schedutil153431593405OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance311033813410P-State powersave80118763000intel_cpufreq performance340034033409intel_cpufreq schedutil197128763404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance300131443403P-State powersave80125913011intel_cpufreq performance300531583404intel_cpufreq schedutil80229453403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance320233593403P-State powersave80124993300intel_cpufreq performance229432983405intel_cpufreq schedutil217632233405OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance310532673403P-State powersave80228843300intel_cpufreq performance310432883403intel_cpufreq schedutil187231463404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance310133863404P-State powersave80225843301intel_cpufreq performance340134033403intel_cpufreq schedutil229931863403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance310232703404P-State powersave80229893302intel_cpufreq performance310332413403intel_cpufreq schedutil180131143403OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance320232823403P-State powersave80127613307intel_cpufreq performance310532793403intel_cpufreq schedutil310232313405OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance340034023404P-State powersave80119413057intel_cpufreq performance334833993405intel_cpufreq schedutil230030853404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance320033713404P-State powersave80124403304intel_cpufreq performance320233423403intel_cpufreq schedutil230131853404OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

OpenFOAM

MinAvgMaxP-State performance300332273409P-State powersave80228363400intel_cpufreq performance300332313408intel_cpufreq schedutil196631393404OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance300231713413P-State powersave80130533405intel_cpufreq performance300231703409intel_cpufreq schedutil220931573405OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

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

MinAvgMaxP-State performance300431773403P-State powersave80226973075intel_cpufreq performance300232053405intel_cpufreq schedutil300331523405OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance300230193403P-State powersave80129693313intel_cpufreq performance300230193403intel_cpufreq schedutil221330143403OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

ArrayFire

MinAvgMaxP-State performance340334043408P-State powersave80125703405intel_cpufreq performance340334043410intel_cpufreq schedutil230332843405OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

LAMMPS Molecular Dynamics Simulator

MinAvgMaxP-State performance300030183403P-State powersave80229813204intel_cpufreq performance300030183403intel_cpufreq schedutil300230153403OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NAMD

MinAvgMaxP-State performance294631243403P-State powersave80128833010intel_cpufreq performance292231153403intel_cpufreq schedutil294230943404OpenBenchmarking.orgMegahertz, More Is BetterNAMD 2.14CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

GROMACS

MinAvgMaxP-State performance290031413403P-State powersave80228363400intel_cpufreq performance290331643404intel_cpufreq schedutil223130643403OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2021.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Quantum ESPRESSO

MinAvgMaxP-State performance310332963518P-State powersave80132323439intel_cpufreq performance310432743471intel_cpufreq schedutil173032923413OpenBenchmarking.orgMegahertz, More Is BetterQuantum ESPRESSO 6.7CPU Peak Freq (Highest CPU Core Frequency) Monitor10002000300040005000

Darmstadt Automotive Parallel Heterogeneous Suite

MinAvgMaxP-State performance340334033406P-State powersave80128753406intel_cpufreq performance340334033404intel_cpufreq schedutil139129723405OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance340334043407P-State powersave80128203406intel_cpufreq performance340334033405intel_cpufreq schedutil80128383406OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance340034033410P-State powersave80226203390intel_cpufreq performance340134033407intel_cpufreq schedutil87126123399OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

RELION

MinAvgMaxP-State performance294130073403P-State powersave80129653200intel_cpufreq performance290830023403intel_cpufreq schedutil150129893403OpenBenchmarking.orgMegahertz, More Is BetterRELION 3.1.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

TensorFlow Lite

MinAvgMaxP-State performance300030313403P-State powersave80129563103intel_cpufreq performance300030503404intel_cpufreq schedutil300030333403OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance300330593403P-State powersave80129023050intel_cpufreq performance300530683403intel_cpufreq schedutil240230383404OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance303331343404P-State powersave80230023210intel_cpufreq performance302931433403intel_cpufreq schedutil303131383407OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Rodinia

MinAvgMaxP-State performance340334033404P-State powersave80124103406intel_cpufreq performance340334033404intel_cpufreq schedutil222633333403OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance280930113408P-State powersave80128193406intel_cpufreq performance280829973407intel_cpufreq schedutil112828803405OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance323334033414P-State powersave80123583401intel_cpufreq performance340034043417intel_cpufreq schedutil144426853413OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance300032863411P-State powersave80125483405intel_cpufreq performance300032613404intel_cpufreq schedutil142031523403OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance300033343408P-State powersave80232773406intel_cpufreq performance300033243410intel_cpufreq schedutil230333053406OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

libavif avifenc

MinAvgMaxP-State performance340334063442P-State powersave80132103409intel_cpufreq performance340334053410intel_cpufreq schedutil142132853409OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance340334043410P-State powersave80124983404intel_cpufreq performance340334053410intel_cpufreq schedutil80228523404OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance340334033404P-State powersave80125453404intel_cpufreq performance340334043408intel_cpufreq schedutil80231133405OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 0.9.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

PJSIP

MinAvgMaxP-State performance340334053428P-State powersave8018582300intel_cpufreq performance340034073483intel_cpufreq schedutil80215102300OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance340334073413P-State powersave80131653408intel_cpufreq performance340334083435intel_cpufreq schedutil90833573409OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance340034043409P-State powersave8019633400intel_cpufreq performance340334053414intel_cpufreq schedutil80117383403OpenBenchmarking.orgMegahertz, More Is BetterPJSIP 2.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Timed Godot Game Engine Compilation

MinAvgMaxP-State performance310033683410P-State powersave80229353406intel_cpufreq performance300333743409intel_cpufreq schedutil98732463407OpenBenchmarking.orgMegahertz, More Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Timed Linux Kernel Compilation

MinAvgMaxP-State performance277132903409P-State powersave80124553405intel_cpufreq performance287032693408intel_cpufreq schedutil230132603408OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 5.10.20CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Timed Mesa Compilation

MinAvgMaxP-State performance294833463407P-State powersave80129183404intel_cpufreq performance304133643406intel_cpufreq schedutil80231343404OpenBenchmarking.orgMegahertz, More Is BetterTimed Mesa Compilation 21.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Timed LLVM Compilation

MinAvgMaxP-State performance277631083408P-State powersave80128703404intel_cpufreq performance277530973409intel_cpufreq schedutil180230713407OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance284333193409P-State powersave80230953407intel_cpufreq performance219633113413intel_cpufreq schedutil230232993410OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 12.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Timed Node.js Compilation

MinAvgMaxP-State performance280631503408P-State powersave80129473408intel_cpufreq performance278031473406intel_cpufreq schedutil220031313408OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 15.11CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Liquid-DSP

MinAvgMaxP-State performance310232143404P-State powersave80128433300intel_cpufreq performance310032423403intel_cpufreq schedutil182332163407OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance299030963405P-State powersave80228733008intel_cpufreq performance218330003408intel_cpufreq schedutil288030663403OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance295830713403P-State powersave80128363000intel_cpufreq performance295630693403intel_cpufreq schedutil295930713404OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 2021.01.31CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Blender

MinAvgMaxP-State performance279331403408P-State powersave80127043408intel_cpufreq performance278631273405intel_cpufreq schedutil279231073406OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance277529303405P-State powersave80128013400intel_cpufreq performance277429183405intel_cpufreq schedutil220028563403OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance290430103405P-State powersave80229363405intel_cpufreq performance289230143408intel_cpufreq schedutil230129763406OpenBenchmarking.orgMegahertz, More Is BetterBlender 2.92CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

PostgreSQL pgbench

MinAvgMaxP-State performance300033613413P-State powersave80127593405intel_cpufreq performance300033673431intel_cpufreq schedutil141230643405OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance300033553413P-State powersave80128213436intel_cpufreq performance300033623441intel_cpufreq schedutil165233023405OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance300033603410P-State powersave80127923405intel_cpufreq performance218533503409intel_cpufreq schedutil182733023407OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

MinAvgMaxP-State performance300033663407P-State powersave80130223437intel_cpufreq performance219033563436intel_cpufreq schedutil95833173442OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL pgbench 13.0CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

Stockfish

MinAvgMaxP-State performance298731063406P-State powersave80126523002intel_cpufreq performance297431053405intel_cpufreq schedutil217330603404OpenBenchmarking.orgMegahertz, More Is BetterStockfish 13CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

NWChem

MinAvgMaxP-State performance300330173409P-State powersave80130073409intel_cpufreq performance300330183409intel_cpufreq schedutil230030153409OpenBenchmarking.orgMegahertz, More Is BetterNWChem 7.0.2CPU Peak Freq (Highest CPU Core Frequency) Monitor8001600240032004000

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

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

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

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

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

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

ArrayFire

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

NAMD

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

Quantum ESPRESSO

MinAvgMaxP-State performance48.064.675.0P-State powersave43.064.679.0intel_cpufreq performance47.066.378.0intel_cpufreq schedutil46.065.577.0OpenBenchmarking.orgCelsius, Fewer Is BetterQuantum ESPRESSO 6.7CPU Temperature Monitor20406080100

RELION

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

TensorFlow Lite

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

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

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

Rodinia

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

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

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

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

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

libavif avifenc

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

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

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

Timed Godot Game Engine Compilation

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

Timed Linux Kernel Compilation

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

Timed Mesa Compilation

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

Timed LLVM Compilation

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

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

Timed Node.js Compilation

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

Blender

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

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

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

PostgreSQL pgbench

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

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

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

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

NWChem

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

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

234 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