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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 3 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 4 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 10 Tests
CPU Massive 14 Tests
Creator Workloads 12 Tests
Encoding 6 Tests
Fortran Tests 7 Tests
Game Development 4 Tests
HPC - High Performance Computing 16 Tests
LAPACK (Linear Algebra Pack) Tests 4 Tests
Machine Learning 2 Tests
Molecular Dynamics 6 Tests
MPI Benchmarks 5 Tests
Multi-Core 26 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 11 Tests
Programmer / Developer System Benchmarks 7 Tests
Python Tests 5 Tests
Renderers 2 Tests
Scientific Computing 8 Tests
Server CPU Tests 11 Tests
Video Encoding 6 Tests
Common Workstation Benchmarks 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  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 Hiding All Results Option
  14 Hours, 8 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

P-State powersave

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: 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 performance

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: 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

intel_cpufreq schedutil

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: 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

intel_cpufreq performance

Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Device 0998, Memory: 16 x 32 GB DDR4-3200MT/s Hynix HMA84GR7CJR4N-XN, Disk: 800GB INTEL SSDPF21Q800GB, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP

OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000270
Python Notes: Python 3.9.4
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Xeon Scalable Ice Lake P-State 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 GradientLAMMPS Molecular Dynamics SimulatorGROMACSP.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 Governornpb: BT.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: SP.Bnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Copenfoam: Motorbike 30Mopenfoam: Motorbike 60Mwrf: conus 2.5kmincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3darrayfire: BLAS CPUarrayfire: Conjugate Gradient CPUhpcg: lammps: 20k Atomsnamd: ATPase Simulation - 327,506 Atomsgromacs: MPI CPU - water_GMX50_bareonnx: yolov4 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUqe: AUSURF112daphne: OpenMP - Euclidean Clusterdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagerelion: Basic - CPUtensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4rodinia: OpenMP CFD Solverrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP Streamclusterrodinia: OpenMP HotSpot3Dsvt-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 4Kcompress-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 Speedospray: Magnetic Reconnection - SciVisospray: XFrog Forest - SciVisospray: XFrog Forest - Path Tracerospray: NASA Streamlines - SciVisospray: NASA Streamlines - Path Tracerospray: San Miguel - SciVisospray: San Miguel - Path Tracerembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownoidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160oidn: RTLightmap.hdr.4096x4096openvkl: vklBenchmarkopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkUnstructuredVolumeopenvkl: vklBenchmarkVdbVolumekvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastavifenc: 6, Losslessavifenc: 10avifenc: 10, Losslesspjsip: OPTIONS, Statefulpjsip: OPTIONS, Statelesspjsip: INVITEbuild-godot: Time To Compilebuild-linux-kernel: Time To Compilebuild-mesa: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-nodejs: Time To Compileliquid-dsp: 64 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 160 - 256 - 57blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Barbershop - CPU-Onlypgbench: 1000 - 100 - Read Writepgbench: 1000 - 100 - Read Write - Average Latencypgbench: 1000 - 100 - Read Onlypgbench: 1000 - 100 - Read Only - Average Latencypgbench: 1000 - 250 - Read Writepgbench: 1000 - 250 - Read Write - Average Latencypgbench: 1000 - 250 - Read Onlypgbench: 1000 - 250 - Read Only - Average Latencystockfish: Total Timenwchem: C240 BuckyballP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance191166.416051.908620.9790989.73174911.02114946.4691313.602999.72116754.1639485.7214.92105.039892.4211.1916566290.4111024538.694.29240.135935.4950.270938.999480196821268985091106.69831.33742.306634.58350.26641126.85720656821534.82739.81569.0497.710104.33930.546168.38258.65206.54210.9223.5917.077.383.94296.082.72563.246.72711.6111.1118.8710.3812527.7890.9110.42106.621987.209266.52512.852.871.386707197443817572692172232613.2623.0337.4695.2058.833376941421254875.61224.88118.983129.272199.398102.19730299000003270133333307393333329.7272.17107.73233834.2833933290.2562341110.7239064340.2771770311221882.3197815.317610.188920.10100543.72187300.47123544.0991817.763014.77120084.2740261.2614.79104.769885.55611.0554509290.1433314539.996.13140.647135.8250.271689.052483194839266264771178.521020.77924.8413527.238996430349.99333656.35721496637074.74639.42346.3587.816104.18556.887305.77576.99453.67460.4461.0648.6219.099.691011.986.72561.849.12677.9114.8118.8710.31142.8627.7810010.45107.630789.089574.05512.932.931.4081110605645818038402999653938.2146.3130.3454.3417.2481036242389539348.15721.48618.497127.321190.68590.85030661333333293000000308510000028.4071.27105.10630491.58812367130.081664933.7749241900.2711771314281888.2191705.026157.588634.3091970.99177878.68115501.4191642.332926.26117869.4939430.6615.07105.109889.90711.2054179290.4166974510.296.45440.065935.7920.272279.042483194833467565041156.49884.75743.017077.76349.43635239.05716326722544.71039.19963.2867.712104.18435.480193.80345.48260.25262.7821.7215.905.864.00311.781.52594.746.12693.4111.1118.8710.3112527.7890.9110.38102.704387.992767.75402.782.881.387187799762817480172359924911.3020.5331.9875.1348.486379741743254053.00122.19018.754127.688191.17391.85730031250003291466667308253333329.2572.24107.39365772.74012285700.081657263.8148853790.2851754461821880197821.887705.448938.09100763.11186973.06123176.7291830.562978.52120124.0540226.0214.49104.279875.26411.0561748289.9755864574.834.00540.831135.8490.270519.102476197838069555031175.691021.62914.7013249.678695875349.02833581.35726796774214.72939.74647.1057.727104.08856.750309.13574.88457.02464.7161.2748.9119.2010.011015.883.12609.748.32713.1112.9618.8710.31142.8627.7810010.42106.173689.490574.24202.932.931.4082110670464118096673001631838.2646.3430.0144.3407.2761040942338541648.65121.41018.517127.332191.80191.08130726000003293400000309670000028.2871.22104.51628261.59412319830.081661863.7918764620.2881786294741882.2OpenBenchmarking.org

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave40K80K120K160K200KSE +/- 230.36, N = 4SE +/- 313.16, N = 4SE +/- 322.38, N = 4SE +/- 416.58, N = 4197821.88197815.31191705.02191166.411. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance100200300400500475.18473.91454.64445.67
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3107 / Avg: 3283.44 / Max: 3406Min: 3107 / Avg: 3268.11 / Max: 3404Min: 1534 / Avg: 3158.75 / Max: 3405Min: 802 / Avg: 3013.45 / Max: 3300
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance110220330440550Min: 62.09 / Avg: 403.38 / Max: 562.15Min: 62.81 / Avg: 403.44 / Max: 562.6Min: 142.12 / Avg: 435.1 / Max: 592.61Min: 137.84 / Avg: 443.88 / Max: 612.391. P-State powersave: Approximate power consumption of 2017 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2017 Joules per run.3. P-State performance: Approximate power consumption of 1958 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 1997 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1326395265Min: 28 / Avg: 50.7 / Max: 65Min: 28 / Avg: 52.3 / Max: 66Min: 36 / Avg: 55.56 / Max: 68Min: 36 / Avg: 56 / Max: 67
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave30K60K90K120K150KMin: 197423.37 / Avg: 197821.88 / Max: 198486.89Min: 196947.42 / Avg: 197815.31 / Max: 198332.24Min: 191071.55 / Avg: 191705.02 / Max: 192503.07Min: 190433.54 / Avg: 191166.41 / Max: 192039.541. (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.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave17003400510068008500SE +/- 128.21, N = 15SE +/- 165.19, N = 15SE +/- 121.94, N = 15SE +/- 109.82, N = 127705.447610.186157.586051.901. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance102030405042.6231.0428.9127.70
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3400 / Avg: 3402.61 / Max: 3409Min: 3110 / Avg: 3381.08 / Max: 3410Min: 1971 / Avg: 2875.93 / Max: 3404Min: 801 / Avg: 1875.67 / Max: 3000
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance70140210280350Min: 68.72 / Avg: 141.99 / Max: 325.63Min: 102.97 / Avg: 198.35 / Max: 382.36Min: 175 / Avg: 266.53 / Max: 346.89Min: 166.22 / Avg: 274.74 / Max: 393.591. P-State powersave: Approximate power consumption of 284 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 383 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 409 Joules per run.4. P-State performance: Approximate power consumption of 440 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1326395265Min: 39 / Avg: 44.96 / Max: 53Min: 41 / Avg: 46.59 / Max: 55Min: 52 / Avg: 54.96 / Max: 67Min: 53 / Avg: 56.04 / Max: 67
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave13002600390052006500Min: 6545.11 / Avg: 7705.44 / Max: 8291.96Min: 6085.07 / Avg: 7610.18 / Max: 8332.98Min: 5002.25 / Avg: 6157.58 / Max: 6669.01Min: 5120.33 / Avg: 6051.9 / Max: 6487.121. (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.Dintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave2K4K6K8K10KSE +/- 38.79, N = 4SE +/- 60.08, N = 13SE +/- 22.19, N = 3SE +/- 65.72, N = 38938.098920.108634.308620.971. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance51015202520.7420.0819.4919.33
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3005 / Avg: 3157.75 / Max: 3404Min: 3001 / Avg: 3144.2 / Max: 3403Min: 802 / Avg: 2945.33 / Max: 3403Min: 801 / Avg: 2591.38 / Max: 3011
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance100200300400500Min: 68.09 / Avg: 415.62 / Max: 569.79Min: 72.03 / Avg: 429.9 / Max: 565.76Min: 165.49 / Avg: 457.76 / Max: 585Min: 184.41 / Avg: 462.4 / Max: 576.051. P-State powersave: Approximate power consumption of 2217 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2150 Joules per run.3. P-State performance: Approximate power consumption of 2289 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2312 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1530456075Min: 37 / Avg: 55.25 / Max: 67Min: 38 / Avg: 57.87 / Max: 68Min: 50 / Avg: 66.45 / Max: 74Min: 51 / Avg: 69.22 / Max: 76
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave16003200480064008000Min: 8880.61 / Avg: 8938.09 / Max: 9049.68Min: 8360.09 / Avg: 8920.1 / Max: 9191.16Min: 8595.29 / Avg: 8634.3 / Max: 8672.13Min: 8490.11 / Avg: 8620.97 / Max: 8696.991. (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: FT.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20K40K60K80K100KSE +/- 63.65, N = 7SE +/- 83.85, N = 7SE +/- 807.72, N = 7SE +/- 842.11, N = 7100763.11100543.7291970.9990989.731. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CP-State powersaveintel_cpufreq performanceP-State performanceintel_cpufreq schedutil60120180240300296.44293.75285.10280.10
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3202 / Avg: 3359.25 / Max: 3403Min: 2294 / Avg: 3298 / Max: 3405Min: 2176 / Avg: 3223.33 / Max: 3405Min: 801 / Avg: 2498.72 / Max: 3300
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500Min: 75.97 / Avg: 306.94 / Max: 553.32Min: 116.16 / Avg: 328.36 / Max: 543.36Min: 177.42 / Avg: 343.03 / Max: 548.15Min: 172.63 / Avg: 352.67 / Max: 574.121. P-State powersave: Approximate power consumption of 789 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 844 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 735 Joules per run.4. P-State performance: Approximate power consumption of 806 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1428425670Min: 48 / Avg: 55.28 / Max: 63Min: 49 / Avg: 56.5 / Max: 67Min: 55 / Avg: 61.2 / Max: 68Min: 57 / Avg: 62.88 / Max: 70
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20K40K60K80K100KMin: 100515.52 / Avg: 100763.11 / Max: 100957.17Min: 100220.81 / Avg: 100543.72 / Max: 100841.36Min: 89431.45 / Avg: 91970.99 / Max: 94436.99Min: 88152.28 / Avg: 90989.73 / Max: 95161.661. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave40K80K120K160K200KSE +/- 364.13, N = 4SE +/- 495.98, N = 4SE +/- 196.76, N = 4SE +/- 1423.68, N = 4187300.47186973.06177878.68174911.021. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500478.36467.72445.54440.34
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3104 / Avg: 3288.4 / Max: 3403Min: 3105 / Avg: 3267.2 / Max: 3403Min: 1872 / Avg: 3145.5 / Max: 3404Min: 802 / Avg: 2884.06 / Max: 3300
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500Min: 84.55 / Avg: 365.65 / Max: 553.97Min: 134.77 / Avg: 380.31 / Max: 554.48Min: 195.36 / Avg: 419.65 / Max: 579.56Min: 190.2 / Avg: 425.35 / Max: 5931. P-State powersave: Approximate power consumption of 1463 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1521 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 1574 Joules per run.4. P-State performance: Approximate power consumption of 1595 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1428425670Min: 47 / Avg: 58.81 / Max: 69Min: 47 / Avg: 60.69 / Max: 68Min: 54 / Avg: 65.2 / Max: 72Min: 55 / Avg: 66.6 / Max: 73
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave30K60K90K120K150KMin: 186706.87 / Avg: 187300.47 / Max: 188292.05Min: 185984.7 / Avg: 186973.06 / Max: 188227.21Min: 177474.51 / Avg: 177878.68 / Max: 178398.74Min: 171769.36 / Avg: 174911.02 / Max: 178187.711. (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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave30K60K90K120K150KSE +/- 134.33, N = 9SE +/- 133.35, N = 9SE +/- 203.66, N = 8SE +/- 480.22, N = 8123544.09123176.72115501.41114946.461. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500458.43441.37372.37369.71
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3401 / Avg: 3402.5 / Max: 3403Min: 3101 / Avg: 3385.89 / Max: 3404Min: 2299 / Avg: 3185.56 / Max: 3403Min: 802 / Avg: 2584.06 / Max: 3301
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance80160240320400Min: 104.74 / Avg: 250.74 / Max: 444.07Min: 103.8 / Avg: 261.69 / Max: 454.31Min: 195.97 / Avg: 330.79 / Max: 403.95Min: 151.72 / Avg: 334.16 / Max: 435.141. P-State powersave: Approximate power consumption of 501 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 523 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 662 Joules per run.4. P-State performance: Approximate power consumption of 668 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1428425670Min: 49 / Avg: 52.19 / Max: 59Min: 50 / Avg: 52.69 / Max: 55Min: 55 / Avg: 61.83 / Max: 69Min: 55 / Avg: 62.22 / Max: 70
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave20K40K60K80K100KMin: 123048.82 / Avg: 123544.09 / Max: 124187.87Min: 122615.53 / Avg: 123176.72 / Max: 123909.89Min: 114547.2 / Avg: 115501.41 / Max: 116322.05Min: 112909.96 / Avg: 114946.46 / Max: 117270.821. (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.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20K40K60K80K100KSE +/- 55.17, N = 4SE +/- 159.72, N = 4SE +/- 142.93, N = 3SE +/- 139.83, N = 391830.5691817.7691642.3391313.601. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance50100150200250223.98220.93203.56201.24
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3102 / Avg: 3269.5 / Max: 3404Min: 3103 / Avg: 3241.4 / Max: 3403Min: 1801 / Avg: 3114.31 / Max: 3403Min: 802 / Avg: 2989.2 / Max: 3302
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitorintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance110220330440550Min: 94.71 / Avg: 409.15 / Max: 564.77Min: 95.36 / Avg: 413.32 / Max: 571.91Min: 193.42 / Avg: 451.05 / Max: 596.84Min: 191.43 / Avg: 456.32 / Max: 596.991. intel_cpufreq schedutil: Approximate power consumption of 2182 Joules per run.2. P-State powersave: Approximate power consumption of 2067 Joules per run.3. P-State performance: Approximate power consumption of 2255 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2282 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance1428425670Min: 46 / Avg: 60 / Max: 68Min: 45 / Avg: 60.63 / Max: 69Min: 55 / Avg: 66.7 / Max: 73Min: 54 / Avg: 67.3 / Max: 72
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave16K32K48K64K80KMin: 91677.56 / Avg: 91830.56 / Max: 91920.79Min: 91403.58 / Avg: 91817.76 / Max: 92172.43Min: 91416.18 / Avg: 91642.33 / Max: 91906.82Min: 91068.82 / Avg: 91313.6 / Max: 91553.121. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance2468108.7458.2207.7847.745
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3202 / Avg: 3281.56 / Max: 3403Min: 3105 / Avg: 3279.19 / Max: 3403Min: 3102 / Avg: 3230.58 / Max: 3405Min: 801 / Avg: 2760.85 / Max: 3307
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500Min: 89.13 / Avg: 343.03 / Max: 549.93Min: 121.86 / Avg: 356 / Max: 539.95Min: 191.26 / Avg: 382.65 / Max: 557.86Min: 189.4 / Avg: 389.23 / Max: 549.941. P-State powersave: Approximate power consumption of 1715 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1691 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 1531 Joules per run.4. P-State performance: Approximate power consumption of 1557 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State performanceintel_cpufreq schedutilP-State powersaveintel_cpufreq performance1428425670Min: 57 / Avg: 61.56 / Max: 68Min: 50 / Avg: 61.58 / Max: 69Min: 50 / Avg: 62.25 / Max: 73Min: 59 / Avg: 66.5 / Max: 74
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil5001000150020002500Min: 2969.56 / Avg: 3014.77 / Max: 3030.39Min: 2943.44 / Avg: 2999.72 / Max: 3073.84Min: 2967.29 / Avg: 2978.52 / Max: 2988.91Min: 2854.37 / Avg: 2926.26 / Max: 3004.561. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave30K60K90K120K150KSE +/- 209.39, N = 10SE +/- 89.79, N = 10SE +/- 233.06, N = 10SE +/- 333.81, N = 10120124.05120084.27117869.49116754.161. (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 Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance150300450600750680.15540.22427.24412.87
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3400 / Avg: 3402.44 / Max: 3404Min: 3348 / Avg: 3399.13 / Max: 3405Min: 2300 / Avg: 3085.17 / Max: 3404Min: 801 / Avg: 1940.6 / Max: 3057
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance80160240320400Min: 95.52 / Avg: 171.66 / Max: 333.09Min: 78.83 / Avg: 218.19 / Max: 471.02Min: 188.28 / Avg: 281.17 / Max: 385.22Min: 151.11 / Avg: 290.85 / Max: 431.511. P-State powersave: Approximate power consumption of 343 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 393 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 450 Joules per run.4. P-State performance: Approximate power consumption of 465 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance1326395265Min: 44 / Avg: 50.1 / Max: 59Min: 46 / Avg: 51.72 / Max: 61Min: 50 / Avg: 52.88 / Max: 60Min: 54 / Avg: 57.38 / Max: 64
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.Cintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave20K40K60K80K100KMin: 119055.9 / Avg: 120124.05 / Max: 121232.86Min: 119574.58 / Avg: 120084.27 / Max: 120655.3Min: 116191.23 / Avg: 117869.49 / Max: 118738.5Min: 114463.06 / Avg: 116754.16 / Max: 117996.911. (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 performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil9K18K27K36K45KSE +/- 113.89, N = 8SE +/- 69.22, N = 8SE +/- 83.38, N = 7SE +/- 42.28, N = 840261.2640226.0239485.7239430.661. (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
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance306090120150137.13128.90117.69116.28
OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3200 / Avg: 3370.82 / Max: 3404Min: 3202 / Avg: 3342 / Max: 3403Min: 2301 / Avg: 3185.33 / Max: 3404Min: 801 / Avg: 2440.12 / Max: 3304
OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500Min: 56.47 / Avg: 287.95 / Max: 551.82Min: 70.73 / Avg: 305.91 / Max: 510.9Min: 182.43 / Avg: 341.8 / Max: 554.4Min: 178.85 / Avg: 346.23 / Max: 549.421. P-State powersave: Approximate power consumption of 699 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 688 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 684 Joules per run.4. P-State performance: Approximate power consumption of 736 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1326395265Min: 41 / Avg: 49.65 / Max: 61Min: 43 / Avg: 51.89 / Max: 62Min: 52 / Avg: 57.13 / Max: 64Min: 48 / Avg: 57.82 / Max: 67
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil7K14K21K28K35KMin: 39894.3 / Avg: 40261.26 / Max: 40800.55Min: 39928.96 / Avg: 40226.02 / Max: 40474.55Min: 39158.68 / Avg: 39485.72 / Max: 39729.32Min: 39293.73 / Avg: 39430.66 / Max: 39639.41. (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

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 30Mintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil48121620SE +/- 0.01, N = 3SE +/- 0.15, N = 15SE +/- 0.06, N = 3SE +/- 0.14, N = 714.4914.7914.9215.071. (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.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3003 / Avg: 3230.57 / Max: 3408Min: 3003 / Avg: 3226.8 / Max: 3409Min: 1966 / Avg: 3138.55 / Max: 3404Min: 802 / Avg: 2835.84 / Max: 3400
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance110220330440550Min: 93.68 / Avg: 308.5 / Max: 569.73Min: 91.35 / Avg: 350.4 / Max: 570.36Min: 157.86 / Avg: 384.07 / Max: 578.2Min: 151.78 / Avg: 394.53 / Max: 641.131. P-State powersave: Approximate power consumption of 2571 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 2753 Joules per run.3. P-State performance: Approximate power consumption of 2714 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 2762 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1428425670Min: 43 / Avg: 53.2 / Max: 67Min: 46 / Avg: 59.55 / Max: 71Min: 52 / Avg: 61.81 / Max: 71Min: 54 / Avg: 64.25 / Max: 74
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30Mintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil48121620Min: 14.46 / Avg: 14.49 / Max: 14.5Min: 14.26 / Avg: 14.79 / Max: 16.23Min: 14.84 / Avg: 14.92 / Max: 15.03Min: 14.81 / Avg: 15.07 / Max: 15.861. (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 60Mintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil20406080100SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.38, N = 3104.27104.76105.03105.101. (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
OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 8CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3002 / Avg: 3170.68 / Max: 3413Min: 3002 / Avg: 3170.4 / Max: 3409Min: 2209 / Avg: 3157.13 / Max: 3405Min: 801 / Avg: 3052.57 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500Min: 81.08 / Avg: 392.53 / Max: 569.64Min: 125.27 / Avg: 401.31 / Max: 568.2Min: 172.89 / Avg: 415.84 / Max: 568.33Min: 153.86 / Avg: 418.2 / Max: 568.281. P-State powersave: Approximate power consumption of 16748 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 16587 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 16634 Joules per run.4. P-State performance: Approximate power consumption of 17286 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterOpenFOAM 8CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 44 / Avg: 60.83 / Max: 75Min: 46 / Avg: 62.41 / Max: 74Min: 45 / Avg: 62.49 / Max: 75Min: 46 / Avg: 62.85 / Max: 76
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60Mintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil20406080100Min: 104.04 / Avg: 104.27 / Max: 104.58Min: 104.64 / Avg: 104.76 / Max: 104.94Min: 104.78 / Avg: 105.03 / Max: 105.41Min: 104.47 / Avg: 105.1 / Max: 105.791. (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 2.5kmintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave2K4K6K8K10K9875.269885.569889.919892.421. (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
OpenBenchmarking.orgMegahertz, More Is BetterWRF 4.2.2CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 2953 / Avg: 3010.99 / Max: 3403Min: 2950 / Avg: 3010.05 / Max: 3403Min: 2904 / Avg: 3009.83 / Max: 3400Min: 938 / Avg: 3009.34 / Max: 3537
OpenBenchmarking.orgWatts, Fewer Is BetterWRF 4.2.2CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq performanceintel_cpufreq schedutil100200300400500Min: 170.31 / Avg: 533.23 / Max: 579.12Min: 143.32 / Avg: 534.46 / Max: 576.03Min: 152.56 / Avg: 535.01 / Max: 577.46Min: 153.97 / Avg: 535.42 / Max: 576.31
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

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 performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil3691215SE +/- 0.05, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.01, N = 411.0611.0611.1911.211. (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.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3002 / Avg: 3204.94 / Max: 3405Min: 3004 / Avg: 3177.13 / Max: 3403Min: 3003 / Avg: 3152.31 / Max: 3405Min: 802 / Avg: 2696.75 / Max: 3075
OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500Min: 111.25 / Avg: 393.86 / Max: 566.67Min: 180.21 / Avg: 396.01 / Max: 567.63Min: 160.76 / Avg: 422.84 / Max: 573.08Min: 214.22 / Avg: 429.08 / Max: 570.891. P-State powersave: Approximate power consumption of 1575 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1584 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 1691 Joules per run.4. P-State performance: Approximate power consumption of 1716 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance1326395265Min: 46 / Avg: 56.88 / Max: 66Min: 51 / Avg: 58.44 / Max: 65Min: 51 / Avg: 60.44 / Max: 66Min: 52 / Avg: 60.88 / Max: 65
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil3691215Min: 10.94 / Avg: 11.06 / Max: 11.18Min: 11 / Avg: 11.06 / Max: 11.09Min: 11.1 / Avg: 11.19 / Max: 11.25Min: 11.19 / Avg: 11.21 / Max: 11.231. (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.i3dintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil60120180240300SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3289.98290.14290.41290.421. (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
OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3002 / Avg: 3019.16 / Max: 3403Min: 3002 / Avg: 3018.64 / Max: 3403Min: 2213 / Avg: 3013.97 / Max: 3403Min: 801 / Avg: 2969.41 / Max: 3313
OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500Min: 138.66 / Avg: 529.97 / Max: 567.24Min: 95.31 / Avg: 533.15 / Max: 570.27Min: 180.81 / Avg: 533.48 / Max: 577.73Min: 185.04 / Avg: 533.55 / Max: 582.491. P-State powersave: Approximate power consumption of 37451 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 37498 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 37343 Joules per run.4. P-State performance: Approximate power consumption of 37349 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance1428425670Min: 49 / Avg: 65.82 / Max: 74Min: 48 / Avg: 67.15 / Max: 74Min: 50 / Avg: 68.19 / Max: 73Min: 50 / Avg: 68.2 / Max: 73
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil50100150200250Min: 289.85 / Avg: 289.98 / Max: 290.15Min: 290.13 / Avg: 290.14 / Max: 290.16Min: 290.25 / Avg: 290.41 / Max: 290.63Min: 290.29 / Avg: 290.42 / Max: 290.641. (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

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 CPUintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil10002000300040005000SE +/- 11.74, N = 4SE +/- 24.52, N = 4SE +/- 10.80, N = 4SE +/- 36.10, N = 44574.834539.994538.694510.291. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgGFLOPS Per Watt, More Is BetterArrayFire 3.7Test: BLAS CPUP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance369121512.8712.4612.3312.17
OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave6001200180024003000Min: 3403 / Avg: 3406.94 / Max: 3437Min: 3300 / Avg: 3386 / Max: 3408Min: 2233 / Avg: 3338.35 / Max: 3433Min: 802 / Avg: 3051.12 / Max: 3408
OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance90180270360450Min: 151.4 / Avg: 352.76 / Max: 502.81Min: 142.14 / Avg: 362.09 / Max: 489.19Min: 162.15 / Avg: 371 / Max: 504.13Min: 193.47 / Avg: 372.96 / Max: 497.361. P-State powersave: Approximate power consumption of 1499 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1539 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 1577 Joules per run.4. P-State performance: Approximate power consumption of 1492 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature Monitorintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance1224364860Min: 46 / Avg: 50.88 / Max: 62Min: 44 / Avg: 52.12 / Max: 61Min: 47 / Avg: 52.13 / Max: 63Min: 47 / Avg: 54.59 / Max: 63
OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPUintel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil8001600240032004000Min: 4545.38 / Avg: 4574.83 / Max: 4602.84Min: 4478.24 / Avg: 4539.99 / Max: 4597.81Min: 4506.93 / Avg: 4538.69 / Max: 4554.9Min: 4426.25 / Avg: 4510.29 / Max: 4580.191. (CXX) g++ options: -rdynamic

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil246810SE +/- 0.128, N = 15SE +/- 0.067, N = 15SE +/- 0.068, N = 15SE +/- 0.088, N = 154.0054.2926.1316.4541. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMegahertz, More Is BetterArrayFire 3.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3403 / Avg: 3404 / Max: 3408Min: 3403 / Avg: 3403.96 / Max: 3410Min: 2303 / Avg: 3284.24 / Max: 3405Min: 801 / Avg: 2569.52 / Max: 3405
OpenBenchmarking.orgWatts, Fewer Is BetterArrayFire 3.7CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance60120180240300Min: 89.33 / Avg: 183.15 / Max: 264.32Min: 136.62 / Avg: 220.97 / Max: 305.86Min: 153.66 / Avg: 242.98 / Max: 320.92Min: 160.27 / Avg: 246.19 / Max: 325.311. P-State powersave: Approximate power consumption of 342 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 427 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 454 Joules per run.4. P-State performance: Approximate power consumption of 476 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterArrayFire 3.7CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1122334455Min: 38 / Avg: 41.55 / Max: 44Min: 42 / Avg: 44.79 / Max: 48Min: 46 / Avg: 46.93 / Max: 49Min: 46 / Avg: 47.21 / Max: 54
OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPUintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil3691215Min: 3.52 / Avg: 4.01 / Max: 5.54Min: 3.88 / Avg: 4.29 / Max: 4.71Min: 5.33 / Avg: 6.13 / Max: 6.39Min: 5.43 / Avg: 6.45 / Max: 6.891. (CXX) g++ options: -rdynamic

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 3.1intel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil918273645SE +/- 0.21, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 340.8340.6540.1440.071. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1intel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.01730.03460.05190.06920.08650.0770.0760.0760.076
OpenBenchmarking.orgMegahertz, More Is BetterHigh Performance Conjugate Gradient 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3002 / Avg: 3024.53 / Max: 3403Min: 3002 / Avg: 3022.98 / Max: 3403Min: 2200 / Avg: 3003.35 / Max: 3403Min: 802 / Avg: 2987.86 / Max: 3390
OpenBenchmarking.orgWatts, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500Min: 101.04 / Avg: 525.43 / Max: 566.64Min: 148.45 / Avg: 526.85 / Max: 566.97Min: 185.02 / Avg: 529.93 / Max: 567.52Min: 192.75 / Avg: 531.43 / Max: 567.441. P-State powersave: Approximate power consumption of 24345 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 24587 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 24023 Joules per run.4. P-State performance: Approximate power consumption of 23737 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterHigh Performance Conjugate Gradient 3.1CPU Temperature MonitorP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil1530456075Min: 46 / Avg: 66.37 / Max: 74Min: 45 / Avg: 66.48 / Max: 75Min: 37 / Avg: 66.58 / Max: 75Min: 43 / Avg: 66.96 / Max: 76
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1intel_cpufreq performanceP-State performanceP-State powersaveintel_cpufreq schedutil816243240Min: 40.42 / Avg: 40.83 / Max: 41.04Min: 40.35 / Avg: 40.65 / Max: 41.03Min: 39.95 / Avg: 40.14 / Max: 40.47Min: 39.92 / Avg: 40.07 / Max: 40.31. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atomsintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave816243240SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 335.8535.8335.7935.501. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atomsintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.01510.03020.04530.06040.07550.0670.0670.0670.067
OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3000 / Avg: 3018.17 / Max: 3403Min: 3000 / Avg: 3017.98 / Max: 3403Min: 3002 / Avg: 3014.64 / Max: 3403Min: 802 / Avg: 2980.72 / Max: 3204
OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance100200300400500Min: 124.11 / Avg: 531.53 / Max: 568.45Min: 149.36 / Avg: 532.54 / Max: 567.47Min: 188.96 / Avg: 534.89 / Max: 577.69Min: 191.19 / Avg: 535.54 / Max: 569.621. P-State powersave: Approximate power consumption of 31360 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 31065 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 31023 Joules per run.4. P-State performance: Approximate power consumption of 31419 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Temperature Monitorintel_cpufreq schedutilP-State performanceP-State powersaveintel_cpufreq performance1530456075Min: 51 / Avg: 69.84 / Max: 72Min: 49 / Avg: 70.96 / Max: 76Min: 48 / Avg: 71.22 / Max: 75Min: 50 / Avg: 72.05 / Max: 74
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atomsintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave816243240Min: 35.8 / Avg: 35.85 / Max: 35.95Min: 35.74 / Avg: 35.82 / Max: 35.89Min: 35.71 / Avg: 35.79 / Max: 35.84Min: 35.37 / Avg: 35.5 / Max: 35.581. (CXX) g++ options: -O3 -pthread -lm

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 Atomsintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil0.06130.12260.18390.24520.3065SE +/- 0.00021, N = 3SE +/- 0.00040, N = 3SE +/- 0.00055, N = 3SE +/- 0.00043, N = 30.270510.270930.271680.27227
OpenBenchmarking.orgMegahertz, More Is BetterNAMD 2.14CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 2946 / Avg: 3123.81 / Max: 3403Min: 2922 / Avg: 3115.06 / Max: 3403Min: 2942 / Avg: 3094.25 / Max: 3404Min: 801 / Avg: 2883.46 / Max: 3010
OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitorintel_cpufreq schedutilP-State performanceintel_cpufreq performanceP-State powersave110220330440550Min: 145.23 / Avg: 428.93 / Max: 609.18Min: 189.39 / Avg: 455.92 / Max: 636.3Min: 161.95 / Avg: 459.1 / Max: 634.99Min: 128.57 / Avg: 476.63 / Max: 646.731. intel_cpufreq schedutil: Approximate power consumption of 2288 Joules per run.2. P-State performance: Approximate power consumption of 2280 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 2449 Joules per run.4. P-State powersave: Approximate power consumption of 3813 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterNAMD 2.14CPU Temperature Monitorintel_cpufreq schedutilP-State performanceintel_cpufreq performanceP-State powersave1428425670Min: 51 / Avg: 63.38 / Max: 69Min: 54 / Avg: 65.31 / Max: 69Min: 54 / Avg: 65.38 / Max: 70Min: 51 / Avg: 66.92 / Max: 70
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atomsintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil12345Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.27

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave3691215SE +/- 0.011, N = 3SE +/- 0.048, N = 3SE +/- 0.035, N = 3SE +/- 0.038, N = 39.1029.0529.0428.9991. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave0.00450.0090.01350.0180.02250.020.020.020.02
OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2021.2CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 2903 / Avg: 3164.3 / Max: 3404Min: 2900 / Avg: 3141.12 / Max: 3403Min: 2231 / Avg: 3064.09 / Max: 3403Min: 802 / Avg: 2836.27 / Max: 3400
OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance130260390520650Min: 63.01 / Avg: 444.82 / Max: 722.02Min: 178.07 / Avg: 460.67 / Max: 570.56Min: 70.83 / Avg: 461.5 / Max: 574.54Min: 154.65 / Avg: 465.32 / Max: 569.811. P-State powersave: Approximate power consumption of 4893 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 4914 Joules per run.3. P-State performance: Approximate power consumption of 5076 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 5119 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterGROMACS 2021.2CPU Temperature Monitorintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil1530456075Min: 52 / Avg: 62.82 / Max: 71Min: 48 / Avg: 63.09 / Max: 74Min: 52 / Avg: 66.64 / Max: 76Min: 53 / Avg: 67.38 / Max: 76
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bareintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave3691215Min: 9.09 / Avg: 9.1 / Max: 9.12Min: 8.97 / Avg: 9.05 / Max: 9.14Min: 8.98 / Avg: 9.04 / Max: 9.1Min: 8.95 / Avg: 9 / Max: 9.081. (CXX) g++ options: -O3 -pthread

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 CPUintel_cpufreq schedutilP-State performanceP-State powersaveintel_cpufreq performance100200300400500SE +/- 5.29, N = 3SE +/- 5.43, N = 3SE +/- 2.02, N = 3SE +/- 0.73, N = 34834834804761. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.24120.48240.72360.96481.2061.0721.0681.0631.054
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 2927 / Avg: 2995.51 / Max: 3406Min: 2930 / Avg: 2991.57 / Max: 3404Min: 2922 / Avg: 2975.15 / Max: 3405Min: 802 / Avg: 2904.31 / Max: 3007
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State powersaveintel_cpufreq performanceintel_cpufreq schedutilP-State performance100200300400500Min: 154.46 / Avg: 447.71 / Max: 550.42Min: 207.94 / Avg: 451.61 / Max: 544.87Min: 124.64 / Avg: 452.09 / Max: 549.94Min: 179.49 / Avg: 454.46 / Max: 548.391. P-State powersave: Approximate power consumption of 11939 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 12193 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 11905 Joules per run.4. P-State performance: Approximate power consumption of 12271 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitorintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil1428425670Min: 51 / Avg: 61.63 / Max: 63Min: 54 / Avg: 68.09 / Max: 72Min: 57 / Avg: 68.64 / Max: 73Min: 55 / Avg: 68.99 / Max: 72
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUintel_cpufreq schedutilP-State performanceP-State powersaveintel_cpufreq performance90180270360450Min: 474.5 / Avg: 482.5 / Max: 492.5Min: 477 / Avg: 483.17 / Max: 494Min: 476 / Avg: 480 / Max: 482.5Min: 475 / Avg: 476.17 / Max: 477.51. (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 CPUintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance4080120160200SE +/- 0.29, N = 3SE +/- 2.36, N = 3SE +/- 1.89, N = 3SE +/- 0.44, N = 31971961941941. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUP-State powersaveintel_cpufreq performanceP-State performanceintel_cpufreq schedutil0.10040.20080.30120.40160.5020.4460.4400.4350.434
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 2866 / Avg: 2951.22 / Max: 3404Min: 2855 / Avg: 2939.69 / Max: 3404Min: 2177 / Avg: 2919.11 / Max: 3404Min: 801 / Avg: 2879.74 / Max: 3400
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 99.38 / Avg: 439.73 / Max: 539.22Min: 156.48 / Avg: 445.99 / Max: 541.22Min: 111.09 / Avg: 447.16 / Max: 540.93Min: 204.08 / Avg: 447.86 / Max: 541.081. P-State powersave: Approximate power consumption of 11580 Joules per run.2. P-State performance: Approximate power consumption of 12042 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 11924 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 11943 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State powersaveP-State performance1428425670Min: 49 / Avg: 63.51 / Max: 68Min: 52 / Avg: 66.36 / Max: 71Min: 51 / Avg: 66.74 / Max: 74Min: 54 / Avg: 68.07 / Max: 74
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance4080120160200Min: 196 / Avg: 196.5 / Max: 197Min: 192 / Avg: 195.5 / Max: 200Min: 191 / Avg: 194 / Max: 197.5Min: 193.5 / Avg: 194.17 / Max: 1951. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave2K4K6K8K10KSE +/- 25.12, N = 3SE +/- 24.06, N = 3SE +/- 65.66, N = 3SE +/- 58.56, N = 1283928380833482121. (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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave51015202519.9219.8719.6719.43
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave6001200180024003000Min: 2944 / Avg: 3012.45 / Max: 3403Min: 2943 / Avg: 3007.76 / Max: 3403Min: 2943 / Avg: 3003.63 / Max: 3403Min: 801 / Avg: 2973.98 / Max: 3005
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil90180270360450Min: 190.15 / Avg: 421.22 / Max: 500.37Min: 155.28 / Avg: 421.79 / Max: 507.17Min: 138.02 / Avg: 422.58 / Max: 516Min: 185.49 / Avg: 423.65 / Max: 515.151. P-State performance: Approximate power consumption of 11654 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 11529 Joules per run.3. P-State powersave: Approximate power consumption of 11269 Joules per run.4. intel_cpufreq schedutil: Approximate power consumption of 11297 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave1326395265Min: 52 / Avg: 60.32 / Max: 62Min: 55 / Avg: 62.96 / Max: 64Min: 54 / Avg: 63.75 / Max: 65Min: 52 / Avg: 64.51 / Max: 67
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave15003000450060007500Min: 8348.5 / Avg: 8392.33 / Max: 8435.5Min: 8348.5 / Avg: 8380.33 / Max: 8427.5Min: 8208.5 / Avg: 8334.17 / Max: 8430Min: 7618 / Avg: 8212.08 / Max: 83421. (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 CPUintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance15003000450060007500SE +/- 156.45, N = 12SE +/- 205.17, N = 12SE +/- 210.11, N = 12SE +/- 200.91, N = 1269556898675666261. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance4812162015.0314.9914.6214.43
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3000 / Avg: 3023.24 / Max: 3403Min: 3000 / Avg: 3021.87 / Max: 3406Min: 3000 / Avg: 3012.86 / Max: 3405Min: 801 / Avg: 2986.56 / Max: 3006
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State performanceP-State powersaveintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 187.38 / Avg: 459.1 / Max: 563.8Min: 116.19 / Avg: 460.29 / Max: 567.14Min: 196.63 / Avg: 462.28 / Max: 560.86Min: 175.74 / Avg: 462.81 / Max: 568.11. P-State performance: Approximate power consumption of 12663 Joules per run.2. P-State powersave: Approximate power consumption of 12351 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 12713 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12727 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature Monitorintel_cpufreq performanceP-State powersaveP-State performanceintel_cpufreq schedutil1428425670Min: 50 / Avg: 66.11 / Max: 74Min: 53 / Avg: 67.25 / Max: 72Min: 52 / Avg: 70.54 / Max: 75Min: 52 / Avg: 70.57 / Max: 75
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUintel_cpufreq performanceP-State powersaveintel_cpufreq schedutilP-State performance12002400360048006000Min: 5786 / Avg: 6955 / Max: 7263Min: 5184 / Avg: 6897.71 / Max: 7233Min: 5207 / Avg: 6755.5 / Max: 7271Min: 5152 / Avg: 6625.63 / Max: 7219.51. (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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance110220330440550SE +/- 10.98, N = 9SE +/- 8.53, N = 12SE +/- 6.15, N = 12SE +/- 2.17, N = 35095045034771. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance0.25670.51340.77011.02681.28351.1411.1171.1131.064
OpenBenchmarking.orgMegahertz, More Is BetterONNX Runtime 1.6CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3000 / Avg: 3028.08 / Max: 3404Min: 3000 / Avg: 3024.65 / Max: 3407Min: 2202 / Avg: 3018.2 / Max: 3403Min: 801 / Avg: 2966.78 / Max: 3401
OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance100200300400500Min: 134.9 / Avg: 446.21 / Max: 551.94Min: 154.61 / Avg: 448.18 / Max: 538.49Min: 171.12 / Avg: 451.38 / Max: 550.48Min: 182.92 / Avg: 451.81 / Max: 550.151. P-State powersave: Approximate power consumption of 11899 Joules per run.2. P-State performance: Approximate power consumption of 12400 Joules per run.3. intel_cpufreq schedutil: Approximate power consumption of 12300 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 12312 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterONNX Runtime 1.6CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1428425670Min: 50 / Avg: 64.79 / Max: 70Min: 54 / Avg: 65.08 / Max: 67Min: 53 / Avg: 66.62 / Max: 70Min: 53 / Avg: 68.18 / Max: 71
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance90180270360450Min: 461 / Avg: 508.5 / Max: 546Min: 472.5 / Avg: 503.96 / Max: 545Min: 471 / Avg: 503 / Max: 534.5Min: 473.5 / Avg: 477.17 / Max: 4811. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

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 powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance30060090012001500SE +/- 19.34, N = 9SE +/- 22.92, N = 9SE +/- 17.96, N = 9SE +/- 1.74, N = 31106.691156.491175.691178.521. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgMegahertz, More Is BetterQuantum ESPRESSO 6.7CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave6001200180024003000Min: 3103 / Avg: 3296.48 / Max: 3518Min: 1730 / Avg: 3291.57 / Max: 3413Min: 3104 / Avg: 3274.2 / Max: 3471Min: 801 / Avg: 3232.42 / Max: 3439
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance110220330440550Min: 79.28 / Avg: 433.06 / Max: 589.04Min: 103.54 / Avg: 441.63 / Max: 586.01Min: 175.37 / Avg: 445.55 / Max: 632.58Min: 160.57 / Avg: 445.81 / Max: 620.761. P-State powersave: Approximate power consumption of 113750 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 121202 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 121338 Joules per run.4. P-State performance: Approximate power consumption of 123045 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterQuantum ESPRESSO 6.7CPU Temperature MonitorP-State powersaveP-State performanceintel_cpufreq schedutilintel_cpufreq performance1530456075Min: 43 / Avg: 64.58 / Max: 79Min: 48 / Avg: 64.61 / Max: 75Min: 46 / Avg: 65.52 / Max: 77Min: 47 / Avg: 66.29 / Max: 78
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112P-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance2004006008001000Min: 1061.03 / Avg: 1106.69 / Max: 1201.44Min: 1061 / Avg: 1156.49 / Max: 1240.58Min: 1087.89 / Avg: 1175.69 / Max: 1232.3Min: 1175.75 / Avg: 1178.52 / Max: 1181.741. (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

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 Clusterintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave2004006008001000SE +/- 1.25, N = 3SE +/- 2.39, N = 3SE +/- 9.84, N = 15SE +/- 7.84, N = 151021.621020.77884.75831.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1.02352.0473.07054.0945.11754.5494.4913.8163.778
OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3403 / Avg: 3403.28 / Max: 3406Min: 3403 / Avg: 3403.06 / Max: 3404Min: 1391 / Avg: 2971.81 / Max: 3405Min: 801 / Avg: 2874.67 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance60120180240300Min: 62.15 / Avg: 182.76 / Max: 261.72Min: 75.63 / Avg: 197 / Max: 300.83Min: 209.75 / Avg: 267.71 / Max: 311.3Min: 211.57 / Avg: 270.16 / Max: 317.871. P-State powersave: Approximate power consumption of 1304 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1340 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 1517 Joules per run.4. P-State performance: Approximate power consumption of 1621 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance1020304050Min: 37 / Avg: 41.36 / Max: 47Min: 41 / Avg: 46.37 / Max: 50Min: 47 / Avg: 49.28 / Max: 52Min: 47 / Avg: 49.89 / Max: 52
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean Clusterintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave2004006008001000Min: 1019.65 / Avg: 1021.62 / Max: 1023.94Min: 1017.19 / Avg: 1020.77 / Max: 1025.31Min: 828.25 / Avg: 884.75 / Max: 952.64Min: 797.28 / Avg: 831.33 / Max: 884.981. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave2004006008001000SE +/- 4.79, N = 3SE +/- 4.97, N = 3SE +/- 19.99, N = 14SE +/- 18.61, N = 15924.84914.70743.01742.301. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance0.99991.99982.99973.99964.99954.4444.3223.9483.913
OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3403 / Avg: 3403.75 / Max: 3407Min: 3403 / Avg: 3403.25 / Max: 3405Min: 801 / Avg: 2837.77 / Max: 3406Min: 801 / Avg: 2819.74 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance50100150200250Min: 54.57 / Avg: 167.05 / Max: 233.35Min: 72.95 / Avg: 171.91 / Max: 241.75Min: 148.33 / Avg: 233.74 / Max: 287.41Min: 148.96 / Avg: 234.25 / Max: 277.21. P-State powersave: Approximate power consumption of 1314 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 1363 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 1558 Joules per run.4. P-State performance: Approximate power consumption of 1484 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance1020304050Min: 35 / Avg: 38.64 / Max: 41Min: 40 / Avg: 44.28 / Max: 48Min: 46 / Avg: 48.15 / Max: 49Min: 47 / Avg: 49.55 / Max: 50
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave160320480640800Min: 915.28 / Avg: 924.84 / Max: 930.07Min: 907.75 / Avg: 914.7 / Max: 924.32Min: 599.99 / Avg: 743.01 / Max: 867.36Min: 595.43 / Avg: 742.3 / Max: 826.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave3K6K9K12K15KSE +/- 114.27, N = 15SE +/- 100.42, N = 15SE +/- 115.67, N = 12SE +/- 86.30, N = 313527.2413249.687077.766634.581. (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 performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave122436486051.3650.2945.6742.62
OpenBenchmarking.orgMegahertz, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceP-State powersaveintel_cpufreq schedutil6001200180024003000Min: 3400 / Avg: 3403.32 / Max: 3410Min: 3401 / Avg: 3403.26 / Max: 3407Min: 802 / Avg: 2620.09 / Max: 3390Min: 871 / Avg: 2612.11 / Max: 3399
OpenBenchmarking.orgWatts, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Power Consumption Monitorintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance50100150200250Min: 60.89 / Avg: 154.96 / Max: 248.13Min: 79.98 / Avg: 155.67 / Max: 242.91Min: 159.97 / Avg: 263.4 / Max: 291.52Min: 154.09 / Avg: 263.44 / Max: 299.251. intel_cpufreq schedutil: Approximate power consumption of 4559 Joules per run.2. P-State powersave: Approximate power consumption of 4670 Joules per run.3. P-State performance: Approximate power consumption of 5549 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 5585 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteCPU Temperature MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance1224364860Min: 35 / Avg: 37.49 / Max: 42Min: 37 / Avg: 41.68 / Max: 47Min: 46 / Avg: 51.95 / Max: 54Min: 48 / Avg: 54.09 / Max: 63
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave2K4K6K8K10KMin: 12950.1 / Avg: 13527.24 / Max: 14298.38Min: 12570.34 / Avg: 13249.68 / Max: 13852.01Min: 6389.05 / Avg: 7077.76 / Max: 7664.41Min: 6484.21 / Avg: 6634.58 / Max: 6783.151. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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: CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave80160240320400SE +/- 1.39, N = 3SE +/- 1.38, N = 3SE +/- 1.34, N = 3SE +/- 1.16, N = 3349.03349.44349.99350.271. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgMegahertz, More Is BetterRELION 3.1.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 2941 / Avg: 3006.83 / Max: 3403Min: 2908 / Avg: 3002.5 / Max: 3403Min: 1501 / Avg: 2988.71 / Max: 3403Min: 801 / Avg: 2964.92 / Max: 3200
OpenBenchmarking.orgWatts, Fewer Is BetterRELION 3.1.1CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance110220330440550Min: 66.85 / Avg: 530.91 / Max: 618.21Min: 65.22 / Avg: 533.95 / Max: 616.15Min: 150.2 / Avg: 534.93 / Max: 618.17Min: 169.67 / Avg: 535.45 / Max: 615.011. P-State powersave: Approximate power consumption of 43004 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 43072 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 43508 Joules per run.4. P-State performance: Approximate power consumption of 43372 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRELION 3.1.1CPU Temperature Monitorintel_cpufreq schedutilintel_cpufreq performanceP-State powersaveP-State performance1530456075Min: 37 / Avg: 67.3 / Max: 76Min: 50 / Avg: 67.63 / Max: 76Min: 32 / Avg: 67.93 / Max: 77Min: 49 / Avg: 67.97 / Max: 76
OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave60120180240300Min: 347.5 / Avg: 349.03 / Max: 351.79Min: 347.93 / Avg: 349.44 / Max: 352.2Min: 348.54 / Avg: 349.99 / Max: 352.66Min: 348.64 / Avg: 350.27 / Max: 352.521. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -pthread -lmpi_cxx -lmpi

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 Quantintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave9K18K27K36K45KSE +/- 61.65, N = 3SE +/- 117.93, N = 3SE +/- 352.77, N = 3SE +/- 711.79, N = 1233581.333656.335239.041126.8
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave6001200180024003000Min: 3000 / Avg: 3050.43 / Max: 3404Min: 3000 / Avg: 3032.66 / Max: 3403Min: 3000 / Avg: 3031.35 / Max: 3403Min: 801 / Avg: 2955.99 / Max: 3103
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitorintel_cpufreq schedutilintel_cpufreq performanceP-State powersaveP-State performance110220330440550Min: 190.61 / Avg: 514.32 / Max: 606.86Min: 149.43 / Avg: 516.05 / Max: 608.65Min: 130.97 / Avg: 517.4 / Max: 615.04Min: 202.31 / Avg: 520.51 / Max: 620.261. intel_cpufreq schedutil: Approximate power consumption of 7543 Joules per run.2. intel_cpufreq performance: Approximate power consumption of 7569 Joules per run.3. P-State powersave: Approximate power consumption of 7545 Joules per run.4. P-State performance: Approximate power consumption of 7287 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitorintel_cpufreq schedutilP-State powersaveintel_cpufreq performanceP-State performance1428425670Min: 51 / Avg: 67.41 / Max: 71Min: 50 / Avg: 68.31 / Max: 72Min: 50 / Avg: 68.75 / Max: 73Min: 55 / Avg: 69.09 / Max: 73
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quantintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave7K14K21K28K35KMin: 33486.2 / Avg: 33581.27 / Max: 33696.8Min: 33474.3 / Avg: 33656.27 / Max: 33877.2Min: 34751.3 / Avg: 35239.03 / Max: 35924.4Min: 36357.8 / Avg: 41126.78 / Max: 44326.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2intel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance120K240K360K480K600KSE +/- 1875.50, N = 3SE +/- 1289.77, N = 3SE +/- 2262.00, N = 3SE +/- 491.89, N = 3571632572065572149572679
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3005 / Avg: 3068.12 / Max: 3403Min: 3003 / Avg: 3059.42 / Max: 3403Min: 2402 / Avg: 3037.72 / Max: 3404Min: 801 / Avg: 2902.28 / Max: 3050
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilP-State performanceintel_cpufreq performance110220330440550Min: 149.32 / Avg: 511.39 / Max: 634.85Min: 132.83 / Avg: 511.78 / Max: 625.61Min: 151.72 / Avg: 516.4 / Max: 639.8Min: 153.57 / Avg: 516.91 / Max: 636.911. P-State powersave: Approximate power consumption of 7330 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 7336 Joules per run.3. P-State performance: Approximate power consumption of 7402 Joules per run.4. intel_cpufreq performance: Approximate power consumption of 7237 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitorintel_cpufreq schedutilP-State performanceintel_cpufreq performanceP-State powersave1530456075Min: 49 / Avg: 69.53 / Max: 73Min: 54 / Avg: 71.67 / Max: 76Min: 52 / Avg: 71.81 / Max: 76Min: 50 / Avg: 72.05 / Max: 77
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2intel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance100K200K300K400K500KMin: 569343 / Avg: 571632 / Max: 575350Min: 570605 / Avg: 572065.33 / Max: 574637Min: 568264 / Avg: 572149 / Max: 576099Min: 571700 / Avg: 572679.33 / Max: 573250

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4P-State performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave150K300K450K600K750KSE +/- 2267.77, N = 3SE +/- 2013.17, N = 3SE +/- 6399.11, N = 3SE +/- 5220.61, N = 3663707672254677421682153
OpenBenchmarking.orgMegahertz, More Is BetterTensorFlow Lite 2020-08-23CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceintel_cpufreq schedutilP-State performanceP-State powersave6001200180024003000Min: 3029 / Avg: 3143.47 / Max: 3403Min: 3031 / Avg: 3138.39 / Max: 3407Min: 3033 / Avg: 3133.68 / Max: 3404Min: 802 / Avg: 3002.25 / Max: 3210
OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance110220330440550Min: 142.33 / Avg: 503.71 / Max: 615.56Min: 188.1 / Avg: 514.1 / Max: 611.78Min: 194.44 / Avg: 518.88 / Max: 616.9Min: 201.39 / Avg: 519.22 / Max: 613.261. P-State powersave: Approximate power consumption of 7220 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 7540 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 7437 Joules per run.4. P-State performance: Approximate power consumption of 7615 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Temperature Monitorintel_cpufreq schedutilP-State powersaveP-State performanceintel_cpufreq performance1530456075Min: 53 / Avg: 70.23 / Max: 74Min: 55 / Avg: 71.09 / Max: 74Min: 56 / Avg: 72.09 / Max: 75Min: 56 / Avg: 73.23 / Max: 76
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4P-State performanceintel_cpufreq schedutilintel_cpufreq performanceP-State powersave120K240K360K480K600KMin: 660981 / Avg: 663706.67 / Max: 668209Min: 668241 / Avg: 672254.33 / Max: 674541Min: 668260 / Avg: 677420.67 / Max: 689741Min: 674804 / Avg: 682153.33 / Max: 692251

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 Solverintel_cpufreq schedutilintel_cpufreq performanceP-State performanceP-State powersave1.08612.17223.25834.34445.4305SE +/- 0.014, N = 8SE +/- 0.019, N = 8SE +/- 0.036, N = 8SE +/- 0.041, N = 154.7104.7294.7464.8271. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) Monitorintel_cpufreq performanceP-State performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 3403 / Avg: 3403.13 / Max: 3404Min: 3403 / Avg: 3403.13 / Max: 3404Min: 2226 / Avg: 3333.41 / Max: 3403Min: 801 / Avg: 2410.19 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance90180270360450Min: 119.45 / Avg: 287.31 / Max: 496.81Min: 184.64 / Avg: 297.27 / Max: 483.2Min: 194.11 / Avg: 297.99 / Max: 490.61Min: 193.73 / Avg: 311.03 / Max: 390.791. P-State powersave: Approximate power consumption of 575 Joules per run.2. intel_cpufreq schedutil: Approximate power consumption of 632 Joules per run.3. intel_cpufreq performance: Approximate power consumption of 596 Joules per run.4. P-State performance: Approximate power consumption of 622 Joules per run.
OpenBenchmarking.orgCelsius, Fewer Is BetterRodinia 3.1CPU Temperature MonitorP-State powersaveintel_cpufreq schedutilintel_cpufreq performanceP-State performance1326395265Min: 48 / Avg: 52.97 / Max: 63Min: 49 / Avg: 53.53 / Max: 63Min: 52 / Avg: 55.94 / Max: 65Min: 54 / Avg: 59.56 / Max: 68
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solverintel_cpufreq schedutilintel_cpufreq performanceP-State performanceP-State powersave246810Min: 4.64 / Avg: 4.71 / Max: 4.76Min: 4.62 / Avg: 4.73 / Max: 4.82Min: 4.61 / Avg: 4.75 / Max: 4.94Min: 4.67 / Avg: 4.83 / Max: 5.191. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDintel_cpufreq schedutilP-State performanceintel_cpufreq performanceP-State powersave918273645SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.47, N = 3SE +/- 0.23, N = 339.2039.4239.7539.821. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgMegahertz, More Is BetterRodinia 3.1CPU Peak Freq (Highest CPU Core Frequency) MonitorP-State performanceintel_cpufreq performanceintel_cpufreq schedutilP-State powersave6001200180024003000Min: 2809 / Avg: 3011.07 / Max: 3408Min: 2808 / Avg: 2996.62 / Max: 3407Min: 1128 / Avg: 2879.69 / Max: 3405Min: 801 / Avg: 2818.7 / Max: 3406
OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption MonitorP-State powersaveP-State performanceintel_cpufreq performanceintel_cpufreq schedutil110220330440550