AmpereOne CPUFreq Driver Governor Performance

AmpereOne testing for a future article on Phoronix.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2409108-NE-AMPEREONE66
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
Show Result Confidence Charts

Limit displaying results to tests within:

C++ Boost Tests 2 Tests
Chess Test Suite 3 Tests
Timed Code Compilation 2 Tests
C/C++ Compiler Tests 5 Tests
Compression Tests 3 Tests
CPU Massive 13 Tests
Creator Workloads 8 Tests
Encoding 2 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 5 Tests
Imaging 3 Tests
Java Tests 2 Tests
Multi-Core 14 Tests
OpenMPI Tests 3 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 3 Tests
Renderers 3 Tests
Scientific Computing 4 Tests
Server CPU Tests 8 Tests
Single-Threaded 4 Tests
Video Encoding 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
cppc_cpufreq schedutil
September 10
  7 Hours, 10 Minutes
cppc_cpufreq performance
September 10
  5 Hours, 41 Minutes
Invert Hiding All Results Option
  6 Hours, 25 Minutes
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):

cppc_cpufreq schedutil

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=4 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/reproducible-path/gcc-14-14.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v
Processor Notes: Scaling Governor: cppc_cpufreq schedutil (Boost: Disabled)
Java Notes: OpenJDK Runtime Environment (build 24-ea+14-Debian-1)
Python Notes: Python 3.12.5
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

cppc_cpufreq performance

Processor: AmpereOne @ 3.20GHz (192 Cores), Motherboard: Supermicro ARS-211M-NR R13SPD v1.02 (T20240726102529 BIOS), Chipset: Ampere Computing LLC Device e208, Memory: 8 x 64GB DDR5-5200MT/s, Disk: 3841GB SAMSUNG MZQL23T8HCLS-00A07 + 960GB SAMSUNG MZ1L2960HCJR-00A07 + 64GB Flash Drive, Graphics: ASPEED, Network: 2 x Broadcom BCM57414 NetXtreme-E 10Gb/25Gb + 2 x Mellanox MT2892

OS: Debian, Kernel: 6.10.6-arm64 (aarch64), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=4 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/reproducible-path/gcc-14-14.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)
Java Notes: OpenJDK Runtime Environment (build 24-ea+14-Debian-1)
Python Notes: Python 3.12.5
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

AmpereOne CPUFreq Driver Governor PerformanceOpenBenchmarking.orgPhoronix Test SuiteAmpereOne @ 3.20GHz (192 Cores)Supermicro ARS-211M-NR R13SPD v1.02 (T20240726102529 BIOS)Ampere Computing LLC Device e2088 x 64GB DDR5-5200MT/s3841GB SAMSUNG MZQL23T8HCLS-00A07 + 960GB SAMSUNG MZ1L2960HCJR-00A07 + 64GB Flash DriveASPEED2 x Broadcom BCM57414 NetXtreme-E 10Gb/25Gb + 2 x Mellanox MT2892Debian6.10.6-arm64 (aarch64)GCC 14.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionAmpereOne CPUFreq Driver Governor Performance BenchmarksSystem Logs- Transparent Huge Pages: always- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=4 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/reproducible-path/gcc-14-14.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v - cppc_cpufreq schedutil: Scaling Governor: cppc_cpufreq schedutil (Boost: Disabled)- cppc_cpufreq performance: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)- OpenJDK Runtime Environment (build 24-ea+14-Debian-1)- Python 3.12.5- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

cppc_cpufreq schedutil vs. cppc_cpufreq performance ComparisonPhoronix Test SuiteBaseline+45.2%+45.2%+90.4%+90.4%+135.6%+135.6%+180.8%+180.8%180.9%171.6%144.4%126.7%125%124.6%120.6%113.8%26%16.1%7%4.8%3.7%3.3%3%2.6%2.6%libx265 - LiveP.R.W.S.S.MBosphorus 1080plibx265 - Uploadlibx265 - Platformlibx265 - Video On DemandBosphorus 4KBosphorus 1080pBosphorus 4KT.B.TScale11.3%Total TimemotorBike - Mesh Time6.3%W.l.H6.2%Mobilenet QuantWavelet BlurRotate 90 Degrees3.5%Tile GlassD.L.M.Fdefconfiglibx264 - LiveFFmpegTTSIOD 3D Rendererx265FFmpegFFmpegFFmpegx264x264x265RawTherapeeGEGLSudokutOpenFOAMSPECFEM3DTensorFlow LiteGEGLGEGLGEGLSciMarkTimed Linux Kernel CompilationFFmpegcppc_cpufreq schedutilcppc_cpufreq performance

AmpereOne CPUFreq Driver Governor Performanceffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandgmic: 2D Function Plotting, 1000 Timesqe: AUSURF112ffmpeg: libx264 - Uploadffmpeg: libx265 - Uploadbuild-llvm: Unix Makefilesffmpeg: libx264 - Platformffmpeg: libx264 - Video On Demandopenfoam: motorBike - Execution Timeopenfoam: motorBike - Mesh Timeasmfish: 1024 Hash Memory, 26 Depthffmpeg: libx265 - Livetensorflow-lite: Mobilenet Quanttensorflow-lite: NASNet Mobilebuild-llvm: Ninjatensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4gegl: Cartoonx265: Bosphorus 4Kbuild-linux-kernel: allmodconfigcachebench: Read / Modify / Writecachebench: Writecachebench: Readgmic: 3D Elevated Function In Rand Colors, 100 Timesrawtherapee: Total Benchmark Timebuild-linux-kernel: defconfiggegl: Color Enhancespecfem3d: Water-layered Halfspacespecfem3d: Tomographic Modelgegl: Rotate 90 Degreesffmpeg: libx264 - Livespecfem3d: Mount St. Helenstensorflow-lite: SqueezeNetgegl: Wavelet Blurtensorflow-lite: Mobilenet Floataobench: 2048 x 2048 - Total Timespecfem3d: Homogeneous Halfspacegegl: Antialiascompress-gzip: Linux Source Tree Archiving To .tar.gzmt-dgemm: Sustained Floating-Point Rategegl: Tile Glassgegl: Reflectttsiod-renderer: Phong Rendering With Soft-Shadow Mappingcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingx265: Bosphorus 1080pscimark2: Compositespecfem3d: Layered Halfspacegmic: Plotting Isosurface Of A 3D Volume, 1000 Timessudokut: Total Timeoctave-benchmark: hackbench: 32 - Processpovray: Trace Timex264: Bosphorus 4Kgegl: Cropgegl: Scalex264: Bosphorus 1080pm-queens: Time To Solverust-prime: Prime Number Test To 200,000,000compress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionn-queens: Elapsed Timescimark2: Dense LU Matrix Factorizationscimark2: Sparse Matrix Multiplyscimark2: Monte Carloscimark2: Jacobi Successive Over-Relaxationscimark2: Fast Fourier Transformcppc_cpufreq schedutilcppc_cpufreq performance10.3810.39200.586443.357.625.70322.87128.9829.01158.002133.91932844637722.3059013.95484823178.74526559132446237135.92911.77185.75463915.27602545787.1576114879.12125185.47784.63153.84276.78912.8065847614.37831237466.851126.584.40343838444460662.93627774952.4565.14392493540.70838.4071343.30348634.60233.476313.65288936766535416.97351.9614.35697651920.69514.78911.45313.3218.02129.8210.6398.95673.115.3603.0991.7931590.952441.24415.90116.90563.24222.5223.3523.34197.359443.287.6612.92321.86329.2529.24157.472142.35933343184062.6356326.15503677178.47026635602458877134.22414.8363916.94939145800.6167814879.04873484.12172.86652.45676.65513.6047220614.40224317769.214129.864.43704964844468660.71927748552.5855.21985651941.04538.3001348.91287533.48833.315851.87689252266221141.47355.8514.59446619320.71913.82511.41913.4518.03865.7810.5269.970156.315.3453.0811.7910860.940454.52417.47116.51563.94226.82OpenBenchmarking.org

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Platformcppc_cpufreq schedutilcppc_cpufreq performance612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 310.3823.351. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Platformcppc_cpufreq schedutilcppc_cpufreq performance0.04680.09360.14040.18720.2340.1050.208
OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 7.0CPU Power Consumption Monitorcppc_cpufreq schedutilcppc_cpufreq performance306090120150Min: 94.85 / Avg: 99.2 / Max: 121.87Min: 97.92 / Avg: 112.11 / Max: 143.021. cppc_cpufreq schedutil: Approximate power consumption of 76122 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 39725 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Video On Demandcppc_cpufreq schedutilcppc_cpufreq performance612182430SE +/- 0.00, N = 3SE +/- 0.01, N = 310.3923.341. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Video On Demandcppc_cpufreq schedutilcppc_cpufreq performance0.0470.0940.1410.1880.2350.1040.209
OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 7.0CPU Power Consumption Monitorcppc_cpufreq schedutilcppc_cpufreq performance306090120150Min: 94.91 / Avg: 99.46 / Max: 130.06Min: 98.98 / Avg: 111.9 / Max: 143.561. cppc_cpufreq schedutil: Approximate power consumption of 76256 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 39614 Joules per run.

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 Timescppc_cpufreq schedutilcppc_cpufreq performance4080120160200SE +/- 1.57, N = 12SE +/- 0.13, N = 3200.59197.36
OpenBenchmarking.orgWatts, Fewer Is BetterG'MICCPU Power Consumption Monitorcppc_cpufreq schedutilcppc_cpufreq performance20406080100Min: 95.28 / Avg: 104.74 / Max: 126.55Min: 103.22 / Avg: 104.34 / Max: 124.271. cppc_cpufreq schedutil: Approximate power consumption of 21455 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 21112 Joules per run.

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 7.0Input: AUSURF112cppc_cpufreq schedutilcppc_cpufreq performance100200300400500SE +/- 0.48, N = 3SE +/- 0.64, N = 3443.35443.281. (F9X) gfortran options: -pthread -fopenmp -ldevXlib -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3_omp -lfftw3 -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 7.0CPU Power Consumption Monitorcppc_cpufreq schedutilcppc_cpufreq performance70140210280350Min: 95.05 / Avg: 372.44 / Max: 398.12Min: 103.73 / Avg: 372.17 / Max: 395.491. cppc_cpufreq schedutil: Approximate power consumption of 168716 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 168345 Joules per run.

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx264 - Scenario: Uploadcppc_cpufreq schedutilcppc_cpufreq performance246810SE +/- 0.01, N = 3SE +/- 0.00, N = 37.627.661. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx264 - Scenario: Uploadcppc_cpufreq schedutilcppc_cpufreq performance0.01640.03280.04920.06560.0820.0730.072
OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 7.0CPU Power Consumption Monitorcppc_cpufreq schedutilcppc_cpufreq performance306090120150Min: 94.06 / Avg: 104.4 / Max: 131.77Min: 98.05 / Avg: 106.23 / Max: 136.71. cppc_cpufreq schedutil: Approximate power consumption of 45378 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 45502 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Uploadcppc_cpufreq schedutilcppc_cpufreq performance3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 35.7012.921. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Uploadcppc_cpufreq schedutilcppc_cpufreq performance0.02610.05220.07830.10440.13050.0560.116
OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 7.0CPU Power Consumption Monitorcppc_cpufreq schedutilcppc_cpufreq performance306090120150Min: 94.45 / Avg: 100.99 / Max: 134.42Min: 103.35 / Avg: 111.55 / Max: 141.961. cppc_cpufreq schedutil: Approximate power consumption of 55678 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 32832 Joules per run.

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix Makefilescppc_cpufreq schedutilcppc_cpufreq performance70140210280350SE +/- 1.21, N = 3SE +/- 0.52, N = 3322.87321.86
MinAvgMaxcppc_cpufreq schedutil94.4147.4309.7cppc_cpufreq performance104.5151.8314.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor801602403204001. cppc_cpufreq schedutil: Approximate power consumption of 51997 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 52575 Joules per run.

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx264 - Scenario: Platformcppc_cpufreq schedutilcppc_cpufreq performance714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 328.9829.251. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx264 - Scenario: Platformcppc_cpufreq schedutilcppc_cpufreq performance0.06210.12420.18630.24840.31050.2760.275
MinAvgMaxcppc_cpufreq schedutil94.6104.8127.8cppc_cpufreq performance97.2106.4146.9OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 7.0CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 30819 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 30619 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx264 - Scenario: Video On Demandcppc_cpufreq schedutilcppc_cpufreq performance714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 329.0129.241. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx264 - Scenario: Video On Demandcppc_cpufreq schedutilcppc_cpufreq performance0.06210.12420.18630.24840.31050.2760.274
MinAvgMaxcppc_cpufreq schedutil94.9105.1122.8cppc_cpufreq performance97.8106.5146.6OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 7.0CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 31031 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 30650 Joules per run.

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Execution Timecppc_cpufreq schedutilcppc_cpufreq performance306090120150158.00157.471. (CXX) g++ options: -std=c++14 -O3 -mcpu=native -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm
MinAvgMaxcppc_cpufreq schedutil97.4109.9119.6cppc_cpufreq performance104.6109.4119.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 10CPU Power Consumption Monitor4080120160200

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Mesh Timecppc_cpufreq schedutilcppc_cpufreq performance306090120150133.92142.361. (CXX) g++ options: -std=c++14 -O3 -mcpu=native -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depthcppc_cpufreq schedutilcppc_cpufreq performance70M140M210M280M350MSE +/- 2188135.83, N = 3SE +/- 2431520.90, N = 11328446377333431840
OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depthcppc_cpufreq schedutilcppc_cpufreq performance200K400K600K800K1000K1037278.181026312.50
MinAvgMaxcppc_cpufreq schedutil95.5316.6365.5cppc_cpufreq performance103.5324.9364.4OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 26809 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 28147 Joules per run.

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Livecppc_cpufreq schedutilcppc_cpufreq performance1428425670SE +/- 0.01, N = 3SE +/- 0.09, N = 322.3062.631. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Livecppc_cpufreq schedutilcppc_cpufreq performance0.12710.25420.38130.50840.63550.2290.565
MinAvgMaxcppc_cpufreq schedutil94.497.5121.0cppc_cpufreq performance104.1110.8136.8OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 7.0CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 25701 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 12224 Joules per run.

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. 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 2022-05-18Model: Mobilenet Quantcppc_cpufreq schedutilcppc_cpufreq performance13K26K39K52K65KSE +/- 542.76, N = 15SE +/- 654.60, N = 359013.956326.1
MinAvgMaxcppc_cpufreq schedutil96.3165.9192.1cppc_cpufreq performance99.4164.5182.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor501001502002501. cppc_cpufreq schedutil: Approximate power consumption of 10748 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 10802 Joules per run.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet Mobilecppc_cpufreq schedutilcppc_cpufreq performance1.2M2.4M3.6M4.8M6MSE +/- 6138.50, N = 3SE +/- 5748.87, N = 354848235503677
MinAvgMaxcppc_cpufreq schedutil97.3144.8148.3cppc_cpufreq performance98.7144.3148.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 26889 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 26893 Joules per run.

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Ninjacppc_cpufreq schedutilcppc_cpufreq performance4080120160200SE +/- 0.70, N = 3SE +/- 0.69, N = 3178.75178.47
MinAvgMaxcppc_cpufreq schedutil94.8177.9338.6cppc_cpufreq performance104.5181.5342.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 16.0CPU Power Consumption Monitor801602403204001. cppc_cpufreq schedutil: Approximate power consumption of 35877 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 36050 Joules per run.

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. 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 2022-05-18Model: Inception ResNet V2cppc_cpufreq schedutilcppc_cpufreq performance600K1200K1800K2400K3000KSE +/- 7167.83, N = 3SE +/- 12475.10, N = 326559132663560
MinAvgMaxcppc_cpufreq schedutil96.4145.7150.1cppc_cpufreq performance100.3145.2148.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 21906 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 21928 Joules per run.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4cppc_cpufreq schedutilcppc_cpufreq performance500K1000K1500K2000K2500KSE +/- 7658.20, N = 3SE +/- 7979.65, N = 324462372458877
MinAvgMaxcppc_cpufreq schedutil97.0145.6149.8cppc_cpufreq performance99.3145.1148.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 20281 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 20267 Joules per run.

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Cartooncppc_cpufreq schedutilcppc_cpufreq performance306090120150SE +/- 0.07, N = 3SE +/- 0.04, N = 3135.93134.22
MinAvgMaxcppc_cpufreq schedutil95.5107.4139.5cppc_cpufreq performance103.1107.1142.0OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 15142 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 14920 Joules per run.

x265

OpenBenchmarking.orgFrames Per Second, More Is Betterx265Video Input: Bosphorus 4Kcppc_cpufreq schedutilcppc_cpufreq performance48121620SE +/- 0.17, N = 3SE +/- 0.14, N = 1511.7714.831. x265 [info]: HEVC encoder version 3.6+1-aa7f602f7
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265Video Input: Bosphorus 4Kcppc_cpufreq schedutilcppc_cpufreq performance0.02570.05140.07710.10280.12850.0970.114
MinAvgMaxcppc_cpufreq schedutil95.2121.4140.5cppc_cpufreq performance97.9129.8143.7OpenBenchmarking.orgWatts, Fewer Is Betterx265CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 6837 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 5903 Joules per run.

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigcppc_cpufreq schedutil4080120160200SE +/- 1.00, N = 3185.75
MinAvgMaxcppc_cpufreq schedutil95.5275.8356.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 55520 Joules per run.

Build: allmodconfig

cppc_cpufreq performance: The test quit with a non-zero exit status. E: lib/math/gcd.c:86: fatal error: when writing output to : Broken pipe

CacheBench

This is a performance test of CacheBench, which is part of LLCbench. CacheBench is designed to test the memory and cache bandwidth performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Read / Modify / Writecppc_cpufreq schedutilcppc_cpufreq performance14K28K42K56K70KSE +/- 0.97, N = 3SE +/- 1.02, N = 363915.2863916.95MIN: 61576.01 / MAX: 64895.47MIN: 61576.6 / MAX: 64879.481. (CC) gcc options: -O3 -lrt
OpenBenchmarking.orgMB/s Per Watt, More Is BetterCacheBenchTest: Read / Modify / Writecppc_cpufreq schedutilcppc_cpufreq performance130260390520650608.73608.40
MinAvgMaxcppc_cpufreq schedutil95.3105.0105.7cppc_cpufreq performance103.6105.1105.5OpenBenchmarking.orgWatts, Fewer Is BetterCacheBenchCPU Power Consumption Monitor204060801001. cppc_cpufreq schedutil: Approximate power consumption of 13685 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 13658 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Writecppc_cpufreq schedutilcppc_cpufreq performance10K20K30K40K50KSE +/- 160.46, N = 3SE +/- 95.37, N = 345787.1645800.62MIN: 38558 / MAX: 48534.42MIN: 38537.04 / MAX: 48574.581. (CC) gcc options: -O3 -lrt
OpenBenchmarking.orgMB/s Per Watt, More Is BetterCacheBenchTest: Writecppc_cpufreq schedutilcppc_cpufreq performance90180270360450436.28436.84
MinAvgMaxcppc_cpufreq schedutil95.2104.9109.0cppc_cpufreq performance103.5104.8107.4OpenBenchmarking.orgWatts, Fewer Is BetterCacheBenchCPU Power Consumption Monitor204060801001. cppc_cpufreq schedutil: Approximate power consumption of 13643 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 13630 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Readcppc_cpufreq schedutilcppc_cpufreq performance10002000300040005000SE +/- 0.04, N = 3SE +/- 0.07, N = 34879.124879.05MIN: 4877.41 / MAX: 4880.43MIN: 4877.37 / MAX: 4880.421. (CC) gcc options: -O3 -lrt
OpenBenchmarking.orgMB/s Per Watt, More Is BetterCacheBenchTest: Readcppc_cpufreq schedutilcppc_cpufreq performance112233445546.9246.93
MinAvgMaxcppc_cpufreq schedutil95.5104.0104.6cppc_cpufreq performance103.4104.0105.4OpenBenchmarking.orgWatts, Fewer Is BetterCacheBenchCPU Power Consumption Monitor204060801001. cppc_cpufreq schedutil: Approximate power consumption of 13518 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 13516 Joules per run.

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 Timescppc_cpufreq schedutilcppc_cpufreq performance20406080100SE +/- 0.46, N = 3SE +/- 0.14, N = 385.4884.12
MinAvgMaxcppc_cpufreq schedutil95.1107.9118.9cppc_cpufreq performance103.3108.4136.9OpenBenchmarking.orgWatts, Fewer Is BetterG'MICCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 9780 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 9688 Joules per run.

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Timecppc_cpufreq schedutilcppc_cpufreq performance20406080100SE +/- 0.19, N = 3SE +/- 0.09, N = 384.6372.871. RawTherapee, version 5.10, command line.
MinAvgMaxcppc_cpufreq schedutil95.9114.3137.7cppc_cpufreq performance97.0120.4148.3OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 10404 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 9513 Joules per run.

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigcppc_cpufreq schedutilcppc_cpufreq performance1224364860SE +/- 0.60, N = 5SE +/- 0.63, N = 453.8452.46
MinAvgMaxcppc_cpufreq schedutil93.9212.4340.5cppc_cpufreq performance104.2218.6347.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.8CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 13767 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 13772 Joules per run.

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color Enhancecppc_cpufreq schedutilcppc_cpufreq performance20406080100SE +/- 0.04, N = 3SE +/- 0.01, N = 376.7976.66
MinAvgMaxcppc_cpufreq schedutil95.5106.2134.5cppc_cpufreq performance97.2106.1139.0OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 8675 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 8666 Joules per run.

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Water-layered Halfspacecppc_cpufreq schedutilcppc_cpufreq performance3691215SE +/- 0.06, N = 3SE +/- 0.13, N = 1512.8113.601. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxcppc_cpufreq schedutil97.8233.5388.6cppc_cpufreq performance102.8250.3390.2OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 6928 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 7192 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Tomographic Modelcppc_cpufreq schedutilcppc_cpufreq performance0.99051.9812.97153.9624.9525SE +/- 0.130627218, N = 15SE +/- 0.120014285, N = 154.3783123744.4022431771. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxcppc_cpufreq schedutil97.3194.8386.4cppc_cpufreq performance101.2204.1391.4OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 3779 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 3729 Joules per run.

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 Degreescppc_cpufreq schedutilcppc_cpufreq performance1530456075SE +/- 0.29, N = 3SE +/- 0.29, N = 366.8569.21
MinAvgMaxcppc_cpufreq schedutil95.5109.3134.1cppc_cpufreq performance102.1110.2138.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 7873 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 8154 Joules per run.

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx264 - Scenario: Livecppc_cpufreq schedutilcppc_cpufreq performance306090120150SE +/- 0.14, N = 3SE +/- 0.09, N = 3126.58129.861. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 7.0Encoder: libx264 - Scenario: Livecppc_cpufreq schedutilcppc_cpufreq performance0.27290.54580.81871.09161.36451.2131.201
MinAvgMaxcppc_cpufreq schedutil94.4104.4122.8cppc_cpufreq performance104.3108.1125.8OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 7.0CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 7585 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 7354 Joules per run.

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Mount St. Helenscppc_cpufreq schedutilcppc_cpufreq performance0.99831.99662.99493.99324.9915SE +/- 0.088728555, N = 12SE +/- 0.089406327, N = 154.4034383844.4370496481. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxcppc_cpufreq schedutil97.5187.8372.5cppc_cpufreq performance100.7197.4384.3OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 3614 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 3607 Joules per run.

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. 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 2022-05-18Model: SqueezeNetcppc_cpufreq schedutilcppc_cpufreq performance100K200K300K400K500KSE +/- 2098.15, N = 3SE +/- 2447.28, N = 3444606444686
MinAvgMaxcppc_cpufreq schedutil96.4142.3146.8cppc_cpufreq performance99.2142.6147.8OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 9580 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 9553 Joules per run.

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet Blurcppc_cpufreq schedutilcppc_cpufreq performance1428425670SE +/- 0.05, N = 3SE +/- 0.16, N = 362.9460.72
MinAvgMaxcppc_cpufreq schedutil95.5107.1135.2cppc_cpufreq performance103.3107.3137.5OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 7283 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 7049 Joules per run.

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. 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 2022-05-18Model: Mobilenet Floatcppc_cpufreq schedutilcppc_cpufreq performance60K120K180K240K300KSE +/- 1552.56, N = 3SE +/- 1397.68, N = 3277749277485
MinAvgMaxcppc_cpufreq schedutil97.2142.9148.6cppc_cpufreq performance105.3143.1147.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 9433 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 9442 Joules per run.

AOBench

AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total Timecppc_cpufreq schedutilcppc_cpufreq performance1224364860SE +/- 0.01, N = 3SE +/- 0.15, N = 352.4652.591. (CC) gcc options: -lm -O3
MinAvgMaxcppc_cpufreq schedutil95.7105.1108.7cppc_cpufreq performance103.9105.4108.9OpenBenchmarking.orgWatts, Fewer Is BetterAOBenchCPU Power Consumption Monitor204060801001. cppc_cpufreq schedutil: Approximate power consumption of 6062 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 6078 Joules per run.

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Homogeneous Halfspacecppc_cpufreq schedutilcppc_cpufreq performance1.17452.3493.52354.6985.8725SE +/- 0.040013186, N = 4SE +/- 0.092197622, N = 155.1439249355.2198565191. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxcppc_cpufreq schedutil98.0192.3376.1cppc_cpufreq performance101.3205.4390.2OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 3990 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 3916 Joules per run.

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Antialiascppc_cpufreq schedutilcppc_cpufreq performance918273645SE +/- 0.01, N = 3SE +/- 0.03, N = 340.7141.05
MinAvgMaxcppc_cpufreq schedutil95.4108.4132.2cppc_cpufreq performance103.3108.8139.7OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 4987 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 5007 Joules per run.

Gzip Compression

This test measures the time needed to archive/compress two copies of the Linux 4.13 kernel source tree using Gzip compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGzip CompressionLinux Source Tree Archiving To .tar.gzcppc_cpufreq schedutilcppc_cpufreq performance918273645SE +/- 0.03, N = 3SE +/- 0.03, N = 338.4138.30
MinAvgMaxcppc_cpufreq schedutil95.8104.5107.8cppc_cpufreq performance103.8105.3107.5OpenBenchmarking.orgWatts, Fewer Is BetterGzip CompressionCPU Power Consumption Monitor204060801001. cppc_cpufreq schedutil: Approximate power consumption of 4946 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 4950 Joules per run.

ACES DGEMM

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point Ratecppc_cpufreq schedutilcppc_cpufreq performance30060090012001500SE +/- 0.93, N = 3SE +/- 0.75, N = 31343.301348.911. (CC) gcc options: -ffast-math -O3 -fopenmp -lopenblas
OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point Ratecppc_cpufreq schedutilcppc_cpufreq performance1.13742.27483.41224.54965.6875.0415.055
MinAvgMaxcppc_cpufreq schedutil96.6266.5292.5cppc_cpufreq performance104.9266.8292.8OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor701402102803501. cppc_cpufreq schedutil: Approximate power consumption of 11282 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 11296 Joules per run.

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile Glasscppc_cpufreq schedutilcppc_cpufreq performance816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 334.6033.49
MinAvgMaxcppc_cpufreq schedutil95.3108.0130.5cppc_cpufreq performance103.3110.0135.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 4284 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 4252 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Reflectcppc_cpufreq schedutilcppc_cpufreq performance816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 333.4833.32
MinAvgMaxcppc_cpufreq schedutil95.5108.1134.2cppc_cpufreq performance103.1108.7139.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 4179 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 4166 Joules per run.

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow Mappingcppc_cpufreq schedutilcppc_cpufreq performance2004006008001000SE +/- 3.26, N = 3SE +/- 4.07, N = 3313.65851.881. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS Per Watt, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow Mappingcppc_cpufreq schedutilcppc_cpufreq performance2468102.8656.244
MinAvgMaxcppc_cpufreq schedutil95.3109.5116.3cppc_cpufreq performance98.6136.4157.9OpenBenchmarking.orgWatts, Fewer Is BetterTTSIOD 3D Renderer 2.3bCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 5292 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 3774 Joules per run.

7-Zip Compression

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 24.05Test: Decompression Ratingcppc_cpufreq schedutilcppc_cpufreq performance200K400K600K800K1000KSE +/- 8228.61, N = 3SE +/- 4672.23, N = 38893678925221. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 24.05Test: Decompression Ratingcppc_cpufreq schedutilcppc_cpufreq performance80016002400320040003499.113478.92
MinAvgMaxcppc_cpufreq schedutil94.3254.2357.3cppc_cpufreq performance103.9256.6359.1OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 24.05CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 8642 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 8637 Joules per run.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 24.05Test: Compression Ratingcppc_cpufreq schedutilcppc_cpufreq performance140K280K420K560K700KSE +/- 6938.99, N = 3SE +/- 3075.70, N = 36653546622111. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

x265

OpenBenchmarking.orgFrames Per Second, More Is Betterx265Video Input: Bosphorus 1080pcppc_cpufreq schedutilcppc_cpufreq performance918273645SE +/- 0.01, N = 3SE +/- 0.02, N = 416.9741.471. x265 [info]: HEVC encoder version 3.6+1-aa7f602f7
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265Video Input: Bosphorus 1080pcppc_cpufreq schedutilcppc_cpufreq performance0.07970.15940.23910.31880.39850.1690.354
MinAvgMaxcppc_cpufreq schedutil95.2100.6106.3cppc_cpufreq performance103.4117.0124.1OpenBenchmarking.orgWatts, Fewer Is Betterx265CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 4091 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 2281 Joules per run.

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Compositecppc_cpufreq schedutilcppc_cpufreq performance80160240320400SE +/- 3.28, N = 3SE +/- 3.19, N = 3351.96355.851. (CC) gcc options: -lm
OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Compositecppc_cpufreq schedutilcppc_cpufreq performance0.75471.50942.26413.01883.77353.3533.354
MinAvgMaxcppc_cpufreq schedutil95.7105.0108.8cppc_cpufreq performance104.1106.1108.8OpenBenchmarking.orgWatts, Fewer Is BetterSciMark 2.0CPU Power Consumption Monitor204060801001. cppc_cpufreq schedutil: Approximate power consumption of 3359 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 3360 Joules per run.

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Layered Halfspacecppc_cpufreq schedutilcppc_cpufreq performance48121620SE +/- 0.04, N = 3SE +/- 0.10, N = 314.3614.591. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
MinAvgMaxcppc_cpufreq schedutil96.5225.3357.9cppc_cpufreq performance103.4232.8368.1OpenBenchmarking.orgWatts, Fewer Is BetterSPECFEM3D 4.1.1CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 7209 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 7217 Joules per run.

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 Timescppc_cpufreq schedutilcppc_cpufreq performance510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 320.7020.72
MinAvgMaxcppc_cpufreq schedutil95.1103.7116.8cppc_cpufreq performance103.2105.0120.0OpenBenchmarking.orgWatts, Fewer Is BetterG'MICCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 2697 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 2696 Joules per run.

Sudokut

This is a test of Sudokut, which is a Sudoku puzzle solver written in Tcl. This test measures how long it takes to solve 100 Sudoku puzzles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSudokut 0.4Total Timecppc_cpufreq schedutilcppc_cpufreq performance48121620SE +/- 0.00, N = 4SE +/- 0.00, N = 414.7913.83
MinAvgMaxcppc_cpufreq schedutil95.0101.8104.8cppc_cpufreq performance103.6105.1105.7OpenBenchmarking.orgWatts, Fewer Is BetterSudokut 0.4CPU Power Consumption Monitor204060801001. cppc_cpufreq schedutil: Approximate power consumption of 1986 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 1971 Joules per run.

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 9.2.0cppc_cpufreq schedutilcppc_cpufreq performance3691215SE +/- 0.00, N = 5SE +/- 0.02, N = 511.4511.42
MinAvgMaxcppc_cpufreq performance97.6108.5135.2OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave Benchmark 9.2.0CPU Power Consumption Monitor40801201602001. cppc_cpufreq performance: Approximate power consumption of 1715 Joules per run.

Hackbench

This is a benchmark of Hackbench, a test of the Linux kernel scheduler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHackbenchCount: 32 - Type: Processcppc_cpufreq schedutilcppc_cpufreq performance3691215SE +/- 0.06, N = 4SE +/- 0.06, N = 413.3213.451. (CC) gcc options: -lpthread
MinAvgMaxcppc_cpufreq schedutil95.3196.6241.1cppc_cpufreq performance102.3196.8241.0OpenBenchmarking.orgWatts, Fewer Is BetterHackbenchCPU Power Consumption Monitor601201802403001. cppc_cpufreq schedutil: Approximate power consumption of 3588 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 3641 Joules per run.

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace Timecppc_cpufreq schedutilcppc_cpufreq performance246810SE +/- 0.014, N = 5SE +/- 0.021, N = 58.0218.0381. (CXX) g++ options: -pipe -O3 -ffast-math -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
MinAvgMaxcppc_cpufreq schedutil97.5155.7301.7cppc_cpufreq performance105.6159.7301.0OpenBenchmarking.orgWatts, Fewer Is BetterPOV-Ray 3.7.0.7CPU Power Consumption Monitor801602403204001. cppc_cpufreq schedutil: Approximate power consumption of 2429 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 2459 Joules per run.

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4Kcppc_cpufreq schedutilcppc_cpufreq performance1530456075SE +/- 0.14, N = 3SE +/- 0.02, N = 529.8265.781. (CC) gcc options: -ldl -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2022-02-22Video Input: Bosphorus 4Kcppc_cpufreq schedutilcppc_cpufreq performance0.10220.20440.30660.40880.5110.2390.454
MinAvgMaxcppc_cpufreq schedutil95.8125.0147.0cppc_cpufreq performance98.5145.0181.3OpenBenchmarking.orgWatts, Fewer Is Betterx264 2022-02-22CPU Power Consumption Monitor501001502002501. cppc_cpufreq schedutil: Approximate power consumption of 3166 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 2030 Joules per run.

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Cropcppc_cpufreq schedutilcppc_cpufreq performance3691215SE +/- 0.01, N = 5SE +/- 0.01, N = 510.6410.53
MinAvgMaxcppc_cpufreq schedutil95.4112.7137.4cppc_cpufreq performance103.0114.4141.0OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 1736 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 1739 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Scalecppc_cpufreq schedutilcppc_cpufreq performance3691215SE +/- 0.057, N = 5SE +/- 0.057, N = 58.9569.970
MinAvgMaxcppc_cpufreq schedutil95.3110.8139.4cppc_cpufreq performance103.1115.9144.7OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 1507 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 1715 Joules per run.

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pcppc_cpufreq schedutilcppc_cpufreq performance306090120150SE +/- 0.06, N = 6SE +/- 0.05, N = 873.11156.311. (CC) gcc options: -ldl -lm -lpthread -O3 -flto
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080pcppc_cpufreq schedutilcppc_cpufreq performance0.29250.5850.87751.171.46250.6581.300
MinAvgMaxcppc_cpufreq schedutil96.2111.2122.2cppc_cpufreq performance104.3120.2143.3OpenBenchmarking.orgWatts, Fewer Is Betterx264 2022-02-22CPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 1427 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 992 Joules per run.

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To Solvecppc_cpufreq schedutilcppc_cpufreq performance1.2062.4123.6184.8246.03SE +/- 0.005, N = 7SE +/- 0.007, N = 75.3605.3451. (CXX) g++ options: -fopenmp -O2 -march=native
MinAvgMaxcppc_cpufreq schedutil96.5232.4354.9cppc_cpufreq performance105.1238.1354.7OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 2291 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 2313 Joules per run.

Rust Prime Benchmark

Based on petehunt/rust-benchmark, this is a prime number benchmark that is multi-threaded and written in Rustlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRust Prime BenchmarkPrime Number Test To 200,000,000cppc_cpufreq schedutilcppc_cpufreq performance0.69731.39462.09192.78923.4865SE +/- 0.001, N = 9SE +/- 0.000, N = 93.0993.0811. (CC) gcc options: -lgcc_s -lutil -lrt -lpthread -lm -ldl -lc -pie -nodefaultlibs
MinAvgMaxcppc_cpufreq schedutil96.1115.1141.4cppc_cpufreq performance104.4119.7140.9OpenBenchmarking.orgWatts, Fewer Is BetterRust Prime BenchmarkCPU Power Consumption Monitor40801201602001. cppc_cpufreq schedutil: Approximate power consumption of 857 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 891 Joules per run.

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

Input: drivaerFastback, Large Mesh Size

cppc_cpufreq schedutil: The test quit with a non-zero exit status. E: [0] --> FOAM FATAL ERROR:

cppc_cpufreq performance: The test quit with a non-zero exit status. E: [0] --> FOAM FATAL ERROR:

Input: drivaerFastback, Medium Mesh Size

cppc_cpufreq schedutil: The test quit with a non-zero exit status. E: [0] --> FOAM FATAL ERROR:

cppc_cpufreq performance: The test quit with a non-zero exit status. E: [0] --> FOAM FATAL ERROR:

Parallel BZIP2 Compression

This test measures the time needed to compress a file (FreeBSD-13.0-RELEASE-amd64-memstick.img) using Parallel BZIP2 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.13FreeBSD-13.0-RELEASE-amd64-memstick.img Compressioncppc_cpufreq schedutilcppc_cpufreq performance0.40350.8071.21051.6142.0175SE +/- 0.005634, N = 11SE +/- 0.001307, N = 111.7931591.7910861. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread
MinAvgMaxcppc_cpufreq schedutil95.2125.7260.9cppc_cpufreq performance97.1133.1279.3OpenBenchmarking.orgWatts, Fewer Is BetterParallel BZIP2 Compression 1.1.13CPU Power Consumption Monitor701402102803501. cppc_cpufreq schedutil: Approximate power consumption of 789 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 823 Joules per run.

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

Input: drivaerFastback, Small Mesh Size

cppc_cpufreq schedutil: The test quit with a non-zero exit status. E: [0] --> FOAM FATAL ERROR:

cppc_cpufreq performance: The test quit with a non-zero exit status. E: [0] --> FOAM FATAL ERROR:

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed Timecppc_cpufreq schedutilcppc_cpufreq performance0.21420.42840.64260.85681.071SE +/- 0.000, N = 13SE +/- 0.001, N = 130.9520.9401. (CC) gcc options: -static -fopenmp -O3 -march=native
MinAvgMaxcppc_cpufreq schedutil96.2143.4336.6cppc_cpufreq performance104.6151.4349.9OpenBenchmarking.orgWatts, Fewer Is BetterN-Queens 1.0CPU Power Consumption Monitor1002003004005001. cppc_cpufreq schedutil: Approximate power consumption of 750 Joules per run.2. cppc_cpufreq performance: Approximate power consumption of 792 Joules per run.

Apache Spark

This is a benchmark of Apache Spark with its PySpark interface. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmars the Apache Spark in a single-system configuration using spark-submit. The test makes use of DIYBigData's pyspark-benchmark (https://github.com/DIYBigData/pyspark-benchmark/) for generating of test data and various Apache Spark operations. Learn more via the OpenBenchmarking.org test page.

Row Count: 1000000 - Partitions: 100

cppc_cpufreq schedutil: The test run did not produce a result. E: py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.

cppc_cpufreq performance: The test run did not produce a result. E: py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.

Row Count: 1000000 - Partitions: 1000

cppc_cpufreq schedutil: The test run did not produce a result. E: py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.

cppc_cpufreq performance: The test run did not produce a result. E: py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.

Row Count: 1000000 - Partitions: 500

cppc_cpufreq schedutil: The test run did not produce a result. E: py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.

cppc_cpufreq performance: The test run did not produce a result. E: py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.

Hackbench

This is a benchmark of Hackbench, a test of the Linux kernel scheduler. Learn more via the OpenBenchmarking.org test page.

Count: 32 - Type: Thread

cppc_cpufreq schedutil: The test quit with a non-zero exit status. E: Creating fdpair (error: Too many open files)

cppc_cpufreq performance: The test quit with a non-zero exit status. E: Creating fdpair (error: Too many open files)

Java JMH

This very basic test profile runs the stock benchmark of the Java JMH benchmark via Maven. Learn more via the OpenBenchmarking.org test page.

Throughput

cppc_cpufreq schedutil: The test run did not produce a result. E: Exception in thread "main" java.lang.RuntimeException: ERROR: Unable to find the resource: /META-INF/BenchmarkList

cppc_cpufreq performance: The test run did not produce a result. E: Exception in thread "main" java.lang.RuntimeException: ERROR: Unable to find the resource: /META-INF/BenchmarkList

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringcppc_cpufreq schedutilcppc_cpufreq performance70140210280350Min: 93.8 / Avg: 137.06 / Max: 398.12Min: 96.97 / Avg: 154.76 / Max: 395.49

Meta Performance Per Watts

OpenBenchmarking.orgPerformance Per Watts, More Is BetterMeta Performance Per WattsPerformance Per Wattscppc_cpufreq schedutilcppc_cpufreq performance100200300400500359.94481.58

SciMark

OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix Factorizationcppc_cpufreq schedutilcppc_cpufreq performance1.00582.01163.01744.02325.0294.4704.352

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix Factorizationcppc_cpufreq schedutilcppc_cpufreq performance100200300400500SE +/- 16.04, N = 3SE +/- 16.65, N = 3441.24454.521. (CC) gcc options: -lm
OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Dense LU Matrix Factorizationcppc_cpufreq schedutilcppc_cpufreq performance1.00582.01163.01744.02325.0294.4704.352

OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Sparse Matrix Multiplycppc_cpufreq schedutilcppc_cpufreq performance0.96281.92562.88843.85124.8144.2793.996

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Sparse Matrix Multiplycppc_cpufreq schedutilcppc_cpufreq performance90180270360450SE +/- 0.09, N = 3SE +/- 0.08, N = 3415.90417.471. (CC) gcc options: -lm
OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Sparse Matrix Multiplycppc_cpufreq schedutilcppc_cpufreq performance0.96281.92562.88843.85124.8144.2793.996

OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Monte Carlocppc_cpufreq schedutilcppc_cpufreq performance0.26750.5350.80251.071.33751.1891.113

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte Carlocppc_cpufreq schedutilcppc_cpufreq performance306090120150SE +/- 0.06, N = 3SE +/- 0.48, N = 3116.90116.511. (CC) gcc options: -lm
OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Monte Carlocppc_cpufreq schedutilcppc_cpufreq performance0.26750.5350.80251.071.33751.1891.113

OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Jacobi Successive Over-Relaxationcppc_cpufreq schedutilcppc_cpufreq performance1.27852.5573.83555.1146.39255.6825.388

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Jacobi Successive Over-Relaxationcppc_cpufreq schedutilcppc_cpufreq performance120240360480600SE +/- 0.04, N = 3SE +/- 0.02, N = 3563.24563.941. (CC) gcc options: -lm
OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Jacobi Successive Over-Relaxationcppc_cpufreq schedutilcppc_cpufreq performance1.27852.5573.83555.1146.39255.6825.388

OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Fast Fourier Transformcppc_cpufreq schedutilcppc_cpufreq performance0.5111.0221.5332.0442.5552.2712.168

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier Transformcppc_cpufreq schedutilcppc_cpufreq performance50100150200250SE +/- 0.39, N = 3SE +/- 0.31, N = 3222.52226.821. (CC) gcc options: -lm
OpenBenchmarking.orgMflops Per Watt, More Is BetterSciMark 2.0Computational Test: Fast Fourier Transformcppc_cpufreq schedutilcppc_cpufreq performance0.5111.0221.5332.0442.5552.2712.168

cppc_cpufreq schedutil

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=4 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/reproducible-path/gcc-14-14.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v
Processor Notes: Scaling Governor: cppc_cpufreq schedutil (Boost: Disabled)
Java Notes: OpenJDK Runtime Environment (build 24-ea+14-Debian-1)
Python Notes: Python 3.12.5
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 10 September 2024 01:29 by user root.

cppc_cpufreq performance

Processor: AmpereOne @ 3.20GHz (192 Cores), Motherboard: Supermicro ARS-211M-NR R13SPD v1.02 (T20240726102529 BIOS), Chipset: Ampere Computing LLC Device e208, Memory: 8 x 64GB DDR5-5200MT/s, Disk: 3841GB SAMSUNG MZQL23T8HCLS-00A07 + 960GB SAMSUNG MZ1L2960HCJR-00A07 + 64GB Flash Drive, Graphics: ASPEED, Network: 2 x Broadcom BCM57414 NetXtreme-E 10Gb/25Gb + 2 x Mellanox MT2892

OS: Debian, Kernel: 6.10.6-arm64 (aarch64), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1200

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=4 --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/reproducible-path/gcc-14-14.2.0/debian/tmp-nvptx/usr --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-target-system-zlib=auto --without-cuda-driver -v
Processor Notes: Scaling Governor: cppc_cpufreq performance (Boost: Disabled)
Java Notes: OpenJDK Runtime Environment (build 24-ea+14-Debian-1)
Python Notes: Python 3.12.5
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 10 September 2024 09:31 by user root.