AMD EPYC 7F72 2P Linux 5.11 - Perf Governor

2 x AMD EPYC 7F72 24-Core testing looking at CPU freq invariance on 5.11 with patch. CPU power consumption monitoring via AMD_Energy interface at 1 second polling. Additional data with CPUFreq performance governor included.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101273-SYST-210125309
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
Bioinformatics 3 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 4 Tests
C++ Boost Tests 5 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 20 Tests
Compression Tests 2 Tests
CPU Massive 38 Tests
Creator Workloads 21 Tests
Cryptography 4 Tests
Database Test Suite 4 Tests
Encoding 5 Tests
Finance 2 Tests
Fortran Tests 7 Tests
Game Development 5 Tests
HPC - High Performance Computing 28 Tests
LAPACK (Linear Algebra Pack) Tests 2 Tests
Machine Learning 8 Tests
Molecular Dynamics 6 Tests
MPI Benchmarks 8 Tests
Multi-Core 35 Tests
NVIDIA GPU Compute 6 Tests
Intel oneAPI 4 Tests
OpenCL 2 Tests
OpenMPI Tests 15 Tests
Programmer / Developer System Benchmarks 9 Tests
Python 2 Tests
Quantum Mechanics 2 Tests
Raytracing 4 Tests
Renderers 9 Tests
Scientific Computing 15 Tests
Server 6 Tests
Server CPU Tests 22 Tests
Single-Threaded 6 Tests
Texture Compression 2 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 6 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

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
Triggered
  Test
  Duration
CPUFreq Schedutil
January 23
  15 Hours, 14 Minutes
CPUFreq Performance
January 24
  16 Hours, 38 Minutes
Invert Hiding All Results Option
  15 Hours, 56 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):


AMD EPYC 7F72 2P Linux 5.11 - Perf GovernorOpenBenchmarking.orgPhoronix Test Suite 10.4.0m12 x AMD EPYC 7F72 24-Core @ 3.20GHz (48 Cores / 96 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse16 x 8192 MB DDR4-3200MT/s HMA81GR7CJR8N-XN1000GB Western Digital WD_BLACK SN850 1TBASPEEDVE2282 x Intel 10G X550TUbuntu 20.105.11.0-rc4-max-boost-inv-patch (x86_64) 20210121GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.9GCC 10.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionAMD EPYC 7F72 2P Linux 5.11 - Perf Governor BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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 - NONE / errors=remount-ro,relatime,rw / Block Size: 4096- CPUFreq Schedutil: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034 - CPUFreq Performance: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034 - OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.10)- Python 3.8.6- 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 Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

CPUFreq Schedutil vs. CPUFreq Performance ComparisonPhoronix Test Suite 10.4.0m1Baseline+10.9%+10.9%+21.8%+21.8%+32.7%+32.7%+43.6%+43.6%43.7%41.5%39.6%36.4%33.3%26%19.7%17.7%14.5%14.2%11.4%9%8.9%8.3%6.2%5.1%4.4%4.4%4.3%4.2%4%3.6%3.6%3.2%3.2%3%2.9%2.8%2.8%2.7%2.7%2.5%2.2%2.1%SkeincoinQ.S.2.PLBC, LBRY CreditsC.1.1.bM.R - Path TracerBosphorus 1080pTradebeans4 - 10000 - 2,5000,1 - 10000Summer Nature 4KH2TradesoapR.N.N.T - f32 - CPU11.1%Time To Compile2MB64 - 10000 - 2,5000,1 - 10000AUSURF1126.7%36.4%D.T.SVMAF Optimized - Bosphorus 1080p5.2%Bosphorus 4KV.Q.O - Bosphorus 1080p4.6%IP Shapes 3D - f32 - CPUOpenMP CFD SolverDevice AI ScoreGET10tConvolve MPI - Degridding3.9%P.P.S3.7%8MBRhodopsin ProteinMD5D.I.SCPULargeRandLPUSHOpenMP Leukocyte6CPU - MobileNet v22.5%53 - D.S2.5%P.S.O - Bosphorus 1080p2.3%2.3%yolov4 - OpenMP CPUEnc Mode 4 - 1080p2.1%BLASCpuminer-OptCpuminer-OptCpuminer-Optdav1dOSPrayx265DaCapo BenchmarkInfluxDBdav1dDaCapo BenchmarkDaCapo BenchmarkoneDNNTimed GDB GNU Debugger CompilationIORInfluxDBQuantum ESPRESSOZstd CompressionAI Benchmark AlphaSVT-VP9x265SVT-VP9oneDNNRodiniaAI Benchmark AlphaRedisrav1eASKAPHimeno BenchmarkIORLAMMPS Molecular Dynamics SimulatorJohn The RipperAI Benchmark AlphaKeyDBChaos Group V-RAYsimdjsonRedisRodiniarav1eTNNrav1eLZ4 CompressionSVT-VP9LULESHONNX RuntimeSVT-AV1LeelaChessZeroCPUFreq SchedutilCPUFreq Performance

AMD EPYC 7F72 2P Linux 5.11 - Perf Governorcpuminer-opt: LBC, LBRY Creditsdav1d: Chimera 1080p 10-bitospray: Magnetic Reconnection - Path Tracerx265: Bosphorus 1080pdacapobench: Tradebeansinfluxdb: 4 - 10000 - 2,5000,1 - 10000dav1d: Summer Nature 4Kdacapobench: Tradesoapbuild-gdb: Time To Compileior: 2MB - Default Test Directoryinfluxdb: 64 - 10000 - 2,5000,1 - 10000qe: AUSURF112ai-benchmark: Device Training Scoresvt-vp9: VMAF Optimized - Bosphorus 1080px265: Bosphorus 4Konednn: IP Shapes 3D - f32 - CPUai-benchmark: Device AI Scorerav1e: 10askap: tConvolve MPI - Degriddinghimeno: Poisson Pressure Solverior: 8MB - Default Test Directorylammps: Rhodopsin Proteinjohn-the-ripper: MD5ai-benchmark: Device Inference Scoresimdjson: LargeRandredis: LPUSHrodinia: OpenMP Leukocyterav1e: 6tnn: CPU - MobileNet v2rav1e: 5compress-lz4: 3 - Decompression Speedsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080plulesh: onnx: yolov4 - OpenMP CPUsvt-av1: Enc Mode 4 - 1080plczero: BLASredis: SETfftw: Float + SSE - 2D FFT Size 4096onednn: IP Shapes 1D - f32 - CPUttsiod-renderer: Phong Rendering With Soft-Shadow Mappingblogbench: Readonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUcompress-lz4: 1 - Decompression Speedtensorflow-lite: SqueezeNetfinancebench: Repo OpenMPbuild-linux-kernel: Time To Compilejohn-the-ripper: Blowfishonednn: Deconvolution Batch shapes_1d - f32 - CPUfinancebench: Bonds OpenMPtensorflow-lite: Mobilenet Floatluxcorerender: DLSCcython-bench: N-Queenscompress-lz4: 1 - Compression Speedpovray: Trace Timeospray: San Miguel - SciVisqmcpack: simple-H2Oprimesieve: 1e12 Prime Number Generationtensorflow-lite: Inception V4stockfish: Total Timetungsten: Volumetric Causticsqlite-speedtest: Timed Time - Size 1,000rodinia: OpenMP Streamclusterbyte: Dhrystone 2clomp: Static OMP Speeduprav1e: 1dacapobench: Jythontachyon: Total Timeplaidml: No - Inference - VGG16 - CPUblender: Barbershop - CPU-Onlybuild-godot: Time To Compileffte: N=256, 3D Complex FFT Routinecompress-lz4: 3 - Compression Speedplaidml: No - Inference - ResNet 50 - CPUcompress-lz4: 9 - Decompression Speedtungsten: Water Causticospray: Magnetic Reconnection - SciViscompress-lz4: 9 - Compression Speedrodinia: OpenMP LavaMDonnx: super-resolution-10 - OpenMP CPUnumpy: onednn: Convolution Batch Shapes Auto - f32 - CPUopenfoam: Motorbike 60Mnpb: EP.Cnpb: LU.Clczero: Eigenbuild-llvm: Time To Compiletensorflow-lite: Mobilenet Quantastcenc: Thoroughsvt-av1: Enc Mode 8 - 1080phpcg: amg: rodinia: OpenMP HotSpot3Dtnn: CPU - SqueezeNet v1.1cpuminer-opt: x25xplaidml: No - Inference - VGG19 - CPUmrbayes: Primate Phylogeny Analysisastcenc: Exhaustivetensorflow-lite: Inception ResNet V2ospray: San Miguel - Path Tracerasmfish: 1024 Hash Memory, 26 Depthyafaray: Total Time For Sample Sceneoidn: Memorialgnupg: 2.7GB Sample File Encryptionswet: Averageetcpak: ETC1gpaw: Carbon Nanotubelammps: 20k Atomsaskap: tConvolve MPI - Griddingtscp: AI Chess Performancecpuminer-opt: Garlicoinbrl-cad: VGR Performance Metrichint: FLOATgromacs: Water Benchmarksynthmark: VoiceMark_100npb: EP.Dgcrypt: dolfyn: Computational Fluid Dynamicstungsten: Hairetcpak: ETC1 + Ditheringopenfoam: Motorbike 30Mredis: SADDquantlib: build2: Time To Compilerelion: Basic - CPUetcpak: ETC2namd: ATPase Simulation - 327,506 Atomsospray: NASA Streamlines - Path Tracerospray: NASA Streamlines - SciVisospray: XFrog Forest - SciVisospray: XFrog Forest - Path Tracersimdjson: DistinctUserIDsvt-av1: Enc Mode 0 - 1080psimdjson: PartialTweetssimdjson: Kostyaluxcorerender: Rainbow Colors and Prismsvt-vp9: Visual Quality Optimized - Bosphorus 1080predis: GETv-ray: CPUcpuminer-opt: Skeincoincpuminer-opt: Quad SHA-256, Pyritetensorflow-lite: NASNet Mobileonednn: Recurrent Neural Network Training - f32 - CPUneat: keydb: rodinia: OpenMP CFD Solvercompress-zstd: 3dacapobench: H2CPUFreq SchedutilCPUFreq Performance139037133.3725049.455591812193.6317.45514892.916475.251256112.11171.031067364.8119.740.84924827873.05411944.24286.628309520.7223.787461230817200.361217218.7552.6841.408289.7641.06810666.0371.4819771.2231817.64840611427348.10170151.55447655.22511031180.52196811305.062195.439406.75781225.752726362.3329056769.45312539523.57.8026.6049757.1711.30554.9729.2814.535810750970426015.2623570.54010.33838319339.847.80.372477818.056525.42156.8359.177178738.1249709448.954.6310489.821.332932.6247.7652.0924210323.000.863782128.283841.48154376.764433208.78641034.05.6568.23130.8262144871833396.603274.8691541.7622.4982.04240.977362854.3211763295587.14328.3977.179687480262267.58759.85125.0777453.5111145629949.88636521323144417.171975.261714.9143863.45232.54218.6526.69036245.59518.301611164.342157.267.322348.294155.7980.4447216.3971.4311.195.950.650.0910.630.578.76323.811711621.52534603640172969951340441123.3224.633294214.378.8828270.55217194087181.95333.3362.294671956189.4363.33462185.277517.331360163.01249.061133346.7120.750.81362829083.17711492.94135.519154539.6324.639476200017750.371251006.0051.2901.446297.1321.09510410.3363.1819334.8621857.48841471454741.42173351.57963665.44810863470.51460411150.661347.239948.35677125.414717572.3046756094.48828139981.97.8926.8959651.6111.42755.5628.9714.489818887960821145.3118369.88310.43238656226.347.40.375474018.200425.22158.0758.746180037.9535858649.294.6610555.121.465232.8048.0252.3604190324.480.867545128.813857.33153770.574450208.04341180.15.6768.46530.9260144417466796.885274.0971537.5222.4382.26141.077379934.3311737087187.33128.3377.022686132109267.13659.75725.1167441.9511162559964.35635725322775283.801255.255714.1813867.30232.76018.6356.69505245.45318.291610484.502156.367.334348.338155.7830.4446916.3971.4311.195.950.650.0910.630.578.76309.611782755.97550145229484202311328441247.4825.037303171.338.5107770.34570OpenBenchmarking.org

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: LBC, LBRY CreditsCPUFreq SchedutilCPUFreq Performance40K80K120K160K200KSE +/- 1380.06, N = 3SE +/- 861.90, N = 31390371940871. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: LBC, LBRY CreditsCPUFreq SchedutilCPUFreq Performance300600900120015001091.621315.46
MinAvgMaxCPUFreq Schedutil119.92127.4169.08CPUFreq Performance120.58147.5245.01OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor60120180240300
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: LBC, LBRY CreditsCPUFreq SchedutilCPUFreq Performance30K60K90K120K150KMin: 136670 / Avg: 139036.67 / Max: 141450Min: 192690 / Avg: 194086.67 / Max: 1956601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitCPUFreq SchedutilCPUFreq Performance4080120160200SE +/- 0.14, N = 3SE +/- 0.23, N = 3133.37181.95MIN: 92.59 / MAX: 205.11MIN: 125.32 / MAX: 275.361. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitCPUFreq SchedutilCPUFreq Performance0.27230.54460.81691.08921.36150.921.21
MinAvgMaxCPUFreq Schedutil119.65144.8190.24CPUFreq Performance119.6150.2248.83OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.1CPU Power Consumption Monitor60120180240300
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitCPUFreq SchedutilCPUFreq Performance306090120150Min: 133.23 / Avg: 133.37 / Max: 133.65Min: 181.5 / Avg: 181.95 / Max: 182.281. (CC) gcc options: -pthread

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerCPUFreq SchedutilCPUFreq Performance70140210280350SE +/- 0.00, N = 11250.00333.33MIN: 90.91 / MAX: 333.33MIN: 100 / MAX: 500
OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerCPUFreq SchedutilCPUFreq Performance0.44780.89561.34341.79122.2391.651.99
MinAvgMaxCPUFreq Schedutil120.24151.8245.88CPUFreq Performance120.4167.3303.25OpenBenchmarking.orgWatts, Fewer Is BetterOSPray 1.8.5CPU Power Consumption Monitor80160240320400
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: Path TracerCPUFreq SchedutilCPUFreq Performance60120180240300Min: 333.33 / Avg: 333.33 / Max: 333.33

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pCPUFreq SchedutilCPUFreq Performance1428425670SE +/- 0.52, N = 4SE +/- 0.73, N = 1549.4562.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 1080pCPUFreq SchedutilCPUFreq Performance0.06980.13960.20940.27920.3490.290.31
MinAvgMaxCPUFreq Schedutil121.07169.9202.05CPUFreq Performance120.63200.8253.76OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor70140210280350
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pCPUFreq SchedutilCPUFreq Performance1224364860Min: 48.01 / Avg: 49.45 / Max: 50.31Min: 58.9 / Avg: 62.29 / Max: 69.021. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansCPUFreq SchedutilCPUFreq Performance12002400360048006000SE +/- 66.39, N = 20SE +/- 52.34, N = 2055914671
MinAvgMaxCPUFreq Schedutil119.93140.5200.89CPUFreq Performance119.81149.7216.02OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor60120180240300
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansCPUFreq SchedutilCPUFreq Performance10002000300040005000Min: 5113 / Avg: 5590.8 / Max: 6277Min: 4214 / Avg: 4670.95 / Max: 5110

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000CPUFreq SchedutilCPUFreq Performance200K400K600K800K1000KSE +/- 1525.09, N = 3SE +/- 2401.68, N = 3812193.6956189.4
OpenBenchmarking.orgval/sec Per Watt, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000CPUFreq SchedutilCPUFreq Performance110022003300440055004857.314963.60
MinAvgMaxCPUFreq Schedutil120.51167.2187.45CPUFreq Performance120.75192.6218.26OpenBenchmarking.orgWatts, Fewer Is BetterInfluxDB 1.8.2CPU Power Consumption Monitor60120180240300
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000CPUFreq SchedutilCPUFreq Performance170K340K510K680K850KMin: 810252.3 / Avg: 812193.6 / Max: 815201.7Min: 952399.9 / Avg: 956189.37 / Max: 960640.3

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KCPUFreq SchedutilCPUFreq Performance80160240320400SE +/- 0.53, N = 3SE +/- 3.54, N = 15317.45363.33MIN: 173.69 / MAX: 340.43MIN: 186.32 / MAX: 403.051. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KCPUFreq SchedutilCPUFreq Performance0.4140.8281.2421.6562.071.721.84
MinAvgMaxCPUFreq Schedutil119.77184.4344.42CPUFreq Performance119.89197.5386.86OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.8.1CPU Power Consumption Monitor100200300400500
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KCPUFreq SchedutilCPUFreq Performance60120180240300Min: 316.41 / Avg: 317.45 / Max: 318.17Min: 333.89 / Avg: 363.33 / Max: 377.561. (CC) gcc options: -pthread

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCPUFreq SchedutilCPUFreq Performance11002200330044005500SE +/- 61.21, N = 4SE +/- 42.72, N = 551484621
MinAvgMaxCPUFreq Schedutil120.1165.5309.01CPUFreq Performance120.15171.7314.65OpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 9.12-MR1CPU Power Consumption Monitor80160240320400
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapCPUFreq SchedutilCPUFreq Performance9001800270036004500Min: 4978 / Avg: 5147.75 / Max: 5264Min: 4484 / Avg: 4621.4 / Max: 4730

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCPUFreq SchedutilCPUFreq Performance20406080100SE +/- 0.43, N = 3SE +/- 0.14, N = 392.9285.28
MinAvgMaxCPUFreq Schedutil120.58159.2492.25CPUFreq Performance120.67167.0492.09OpenBenchmarking.orgWatts, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileCPUFreq SchedutilCPUFreq Performance20406080100Min: 92.05 / Avg: 92.92 / Max: 93.37Min: 85.13 / Avg: 85.28 / Max: 85.56

IOR

IOR is a parallel I/O storage benchmark making use of MPI with a particular focus on HPC (High Performance Computing) systems. IOR is developed at the Lawrence Livermore National Laboratory (LLNL). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.3.0Block Size: 2MB - Disk Target: Default Test DirectoryCPUFreq SchedutilCPUFreq Performance110220330440550SE +/- 2.06, N = 3SE +/- 5.48, N = 3475.25517.33MIN: 400.96 / MAX: 971.55MIN: 463.44 / MAX: 1007.521. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s Per Watt, More Is BetterIOR 3.3.0Block Size: 2MB - Disk Target: Default Test DirectoryCPUFreq SchedutilCPUFreq Performance0.5941.1881.7822.3762.972.432.64
MinAvgMaxCPUFreq Schedutil119.94195.2214.21CPUFreq Performance119.8196.2215.22OpenBenchmarking.orgWatts, Fewer Is BetterIOR 3.3.0CPU Power Consumption Monitor60120180240300
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.3.0Block Size: 2MB - Disk Target: Default Test DirectoryCPUFreq SchedutilCPUFreq Performance90180270360450Min: 473.03 / Avg: 475.25 / Max: 479.37Min: 507.13 / Avg: 517.33 / Max: 525.921. (CC) gcc options: -O2 -lm -pthread -lmpi

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000CPUFreq SchedutilCPUFreq Performance300K600K900K1200K1500KSE +/- 2545.78, N = 3SE +/- 9433.94, N = 31256112.11360163.0
OpenBenchmarking.orgval/sec Per Watt, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000CPUFreq SchedutilCPUFreq Performance140028004200560070006672.146626.07
MinAvgMaxCPUFreq Schedutil120.34188.3217.2CPUFreq Performance120.87205.3231.98OpenBenchmarking.orgWatts, Fewer Is BetterInfluxDB 1.8.2CPU Power Consumption Monitor60120180240300
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000CPUFreq SchedutilCPUFreq Performance200K400K600K800K1000KMin: 1251965 / Avg: 1256112.13 / Max: 1260743.8Min: 1341751.8 / Avg: 1360163.03 / Max: 1372941.8

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: AUSURF112CPUFreq SchedutilCPUFreq Performance30060090012001500SE +/- 12.21, N = 4SE +/- 19.05, N = 91171.031249.061. (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 -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance90180270360450Min: 120.56 / Avg: 385.69 / Max: 492.5Min: 70.27 / Avg: 389.94 / Max: 492.33
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112CPUFreq SchedutilCPUFreq Performance2004006008001000Min: 1148.76 / Avg: 1171.03 / Max: 1205.51Min: 1163.48 / Avg: 1249.06 / Max: 1316.521. (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 -levent_pthreads -lutil -lm -lrt -lz

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreCPUFreq SchedutilCPUFreq Performance200400600800100010671133

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pCPUFreq SchedutilCPUFreq Performance80160240320400SE +/- 0.91, N = 10SE +/- 2.58, N = 15364.81346.711. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pCPUFreq SchedutilCPUFreq Performance0.4680.9361.4041.8722.342.081.97
MinAvgMaxCPUFreq Schedutil119.81175.7360.6CPUFreq Performance119.86175.7352.54OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.1CPU Power Consumption Monitor100200300400500
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pCPUFreq SchedutilCPUFreq Performance70140210280350Min: 361.66 / Avg: 364.81 / Max: 369.91Min: 338.22 / Avg: 346.71 / Max: 380.951. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCPUFreq SchedutilCPUFreq Performance510152025SE +/- 0.14, N = 3SE +/- 0.09, N = 319.7420.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KCPUFreq SchedutilCPUFreq Performance0.0180.0360.0540.0720.090.080.08
MinAvgMaxCPUFreq Schedutil120.55238.0293.24CPUFreq Performance120.3250.4301.78OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor80160240320400
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCPUFreq SchedutilCPUFreq Performance510152025Min: 19.52 / Avg: 19.74 / Max: 19.99Min: 20.59 / Avg: 20.75 / Max: 20.91. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance0.19110.38220.57330.76440.9555SE +/- 0.004000, N = 5SE +/- 0.005456, N = 50.8492480.813628MIN: 0.73MIN: 0.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxCPUFreq Schedutil120.69235.0415.01CPUFreq Performance121.08239.4430.23OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor110220330440550
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance246810Min: 0.84 / Avg: 0.85 / Max: 0.86Min: 0.8 / Avg: 0.81 / Max: 0.831. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreCPUFreq SchedutilCPUFreq Performance600120018002400300027872908
OpenBenchmarking.orgScore Per Watt, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreCPUFreq SchedutilCPUFreq Performance369121512.9811.59
MinAvgMaxCPUFreq Schedutil119.91214.7378.22CPUFreq Performance119.81250.8388.86OpenBenchmarking.orgWatts, Fewer Is BetterAI Benchmark Alpha 0.1.2CPU Power Consumption Monitor100200300400500

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10CPUFreq SchedutilCPUFreq Performance0.71481.42962.14442.85923.574SE +/- 0.008, N = 3SE +/- 0.018, N = 33.0543.177
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 10CPUFreq SchedutilCPUFreq Performance0.00450.0090.01350.0180.02250.020.02
MinAvgMaxCPUFreq Schedutil120.22136.5145.83CPUFreq Performance119.87138.6146.51OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.4CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10CPUFreq SchedutilCPUFreq Performance246810Min: 3.04 / Avg: 3.05 / Max: 3.07Min: 3.15 / Avg: 3.18 / Max: 3.21

ASKAP

This is a CUDA benchmark of ATNF's ASKAP Benchmark with currently using the tConvolveCuda sub-test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingCPUFreq SchedutilCPUFreq Performance3K6K9K12K15KSE +/- 6.47, N = 3SE +/- 137.09, N = 311944.211492.91. (CXX) g++ options: -lpthread
OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingCPUFreq SchedutilCPUFreq Performance91827364540.5133.50
MinAvgMaxCPUFreq Schedutil120.77294.9460.53CPUFreq Performance120.5343.1458.48OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 2018-11-10CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 2018-11-10Test: tConvolve MPI - DegriddingCPUFreq SchedutilCPUFreq Performance2K4K6K8K10KMin: 11933 / Avg: 11944.2 / Max: 11955.4Min: 11230.5 / Avg: 11492.93 / Max: 11692.91. (CXX) g++ options: -lpthread

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCPUFreq SchedutilCPUFreq Performance9001800270036004500SE +/- 25.26, N = 3SE +/- 27.09, N = 34286.634135.521. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCPUFreq SchedutilCPUFreq Performance71421283531.9431.13
MinAvgMaxCPUFreq Schedutil120.41134.2136.72CPUFreq Performance120.16132.8135.66OpenBenchmarking.orgWatts, Fewer Is BetterHimeno Benchmark 3.0CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverCPUFreq SchedutilCPUFreq Performance7001400210028003500Min: 4237.67 / Avg: 4286.63 / Max: 4321.93Min: 4105.93 / Avg: 4135.52 / Max: 4189.621. (CC) gcc options: -O3 -mavx2

IOR

IOR is a parallel I/O storage benchmark making use of MPI with a particular focus on HPC (High Performance Computing) systems. IOR is developed at the Lawrence Livermore National Laboratory (LLNL). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.3.0Block Size: 8MB - Disk Target: Default Test DirectoryCPUFreq SchedutilCPUFreq Performance120240360480600SE +/- 2.63, N = 3SE +/- 5.78, N = 3520.72539.63MIN: 176.53 / MAX: 1089.46MIN: 280.44 / MAX: 1002.781. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s Per Watt, More Is BetterIOR 3.3.0Block Size: 8MB - Disk Target: Default Test DirectoryCPUFreq SchedutilCPUFreq Performance0.57381.14761.72142.29522.8692.492.55
MinAvgMaxCPUFreq Schedutil120.46209.5223.86CPUFreq Performance120.43211.4225OpenBenchmarking.orgWatts, Fewer Is BetterIOR 3.3.0CPU Power Consumption Monitor60120180240300
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.3.0Block Size: 8MB - Disk Target: Default Test DirectoryCPUFreq SchedutilCPUFreq Performance100200300400500Min: 517.86 / Avg: 520.72 / Max: 525.96Min: 528.99 / Avg: 539.63 / Max: 548.851. (CC) gcc options: -O2 -lm -pthread -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: Rhodopsin ProteinCPUFreq SchedutilCPUFreq Performance612182430SE +/- 0.17, N = 12SE +/- 0.19, N = 1523.7924.641. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinCPUFreq SchedutilCPUFreq Performance0.03150.0630.09450.1260.15750.130.14
MinAvgMaxCPUFreq Schedutil120.38176.6409.04CPUFreq Performance120.49176.0401.41OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor110220330440550
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinCPUFreq SchedutilCPUFreq Performance612182430Min: 23 / Avg: 23.79 / Max: 25.06Min: 22.96 / Avg: 24.64 / Max: 25.71. (CXX) g++ options: -O3 -pthread -lm

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5CPUFreq SchedutilCPUFreq Performance1000K2000K3000K4000K5000KSE +/- 54344.04, N = 13SE +/- 7371.11, N = 3461230847620001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5CPUFreq SchedutilCPUFreq Performance2K4K6K8K10K10084.8810378.20
MinAvgMaxCPUFreq Schedutil121.95457.3492.3CPUFreq Performance122.39458.8492.08OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5CPUFreq SchedutilCPUFreq Performance800K1600K2400K3200K4000KMin: 4069000 / Avg: 4612307.69 / Max: 4771000Min: 4751000 / Avg: 4762000 / Max: 47760001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreCPUFreq SchedutilCPUFreq Performance40080012001600200017201775

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomCPUFreq SchedutilCPUFreq Performance0.08330.16660.24990.33320.4165SE +/- 0.00, N = 3SE +/- 0.00, N = 30.360.371. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomCPUFreq SchedutilCPUFreq Performance
MinAvgMaxCPUFreq Schedutil120.05129.9132.36CPUFreq Performance119.65128.6131.09OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 0.7.1CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomCPUFreq SchedutilCPUFreq Performance12345Min: 0.36 / Avg: 0.36 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.371. (CXX) g++ options: -O3 -pthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHCPUFreq SchedutilCPUFreq Performance300K600K900K1200K1500KSE +/- 13782.67, N = 3SE +/- 11397.44, N = 31217218.751251006.001. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: LPUSHCPUFreq SchedutilCPUFreq Performance2K4K6K8K10K9780.1710016.27
MinAvgMaxCPUFreq Schedutil119.68124.5132.26CPUFreq Performance119.76124.9134.8OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHCPUFreq SchedutilCPUFreq Performance200K400K600K800K1000KMin: 1192471.25 / Avg: 1217218.75 / Max: 1240107.12Min: 1228211.25 / Avg: 1251006 / Max: 1262466.881. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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 LeukocyteCPUFreq SchedutilCPUFreq Performance1224364860SE +/- 0.69, N = 3SE +/- 0.19, N = 352.6851.291. (CXX) g++ options: -O2 -lOpenCL
MinAvgMaxCPUFreq Schedutil121.02281.6334.82CPUFreq Performance121.37285.4336.93OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor80160240320400
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteCPUFreq SchedutilCPUFreq Performance1122334455Min: 51.76 / Avg: 52.68 / Max: 54.03Min: 50.95 / Avg: 51.29 / Max: 51.61. (CXX) g++ options: -O2 -lOpenCL

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6CPUFreq SchedutilCPUFreq Performance0.32540.65080.97621.30161.627SE +/- 0.003, N = 3SE +/- 0.001, N = 31.4081.446
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 6CPUFreq SchedutilCPUFreq Performance0.00230.00460.00690.00920.01150.010.01
MinAvgMaxCPUFreq Schedutil74.91142.0151.61CPUFreq Performance74.72143.0152.17OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.4CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6CPUFreq SchedutilCPUFreq Performance246810Min: 1.4 / Avg: 1.41 / Max: 1.41Min: 1.45 / Avg: 1.45 / Max: 1.45

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2CPUFreq SchedutilCPUFreq Performance60120180240300SE +/- 2.83, N = 3SE +/- 0.07, N = 3289.76297.13MIN: 283.65 / MAX: 458.79MIN: 295.49 / MAX: 320.41. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
MinAvgMaxCPUFreq Schedutil73.73143.3175.31CPUFreq Performance120.61155.3164.96OpenBenchmarking.orgWatts, Fewer Is BetterTNN 0.2.3CPU Power Consumption Monitor50100150200250
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2CPUFreq SchedutilCPUFreq Performance50100150200250Min: 285.31 / Avg: 289.76 / Max: 295Min: 296.99 / Avg: 297.13 / Max: 297.231. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5CPUFreq SchedutilCPUFreq Performance0.24640.49280.73920.98561.232SE +/- 0.001, N = 3SE +/- 0.003, N = 31.0681.095
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 5CPUFreq SchedutilCPUFreq Performance0.00230.00460.00690.00920.01150.010.01
MinAvgMaxCPUFreq Schedutil119.97143.3155.18CPUFreq Performance119.75143.6155.63OpenBenchmarking.orgWatts, Fewer Is Betterrav1e 0.4CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5CPUFreq SchedutilCPUFreq Performance246810Min: 1.07 / Avg: 1.07 / Max: 1.07Min: 1.09 / Avg: 1.1 / Max: 1.1

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedCPUFreq SchedutilCPUFreq Performance2K4K6K8K10KSE +/- 60.61, N = 3SE +/- 61.51, N = 510666.010410.31. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedCPUFreq SchedutilCPUFreq Performance2040608010080.0779.05
MinAvgMaxCPUFreq Schedutil120.3133.2144.48CPUFreq Performance119.71131.7143.05OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedCPUFreq SchedutilCPUFreq Performance2K4K6K8K10KMin: 10559.6 / Avg: 10665.97 / Max: 10769.5Min: 10225.2 / Avg: 10410.26 / Max: 10560.51. (CC) gcc options: -O3

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCPUFreq SchedutilCPUFreq Performance80160240320400SE +/- 1.70, N = 9SE +/- 1.84, N = 9371.48363.181. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCPUFreq SchedutilCPUFreq Performance0.47480.94961.42441.89922.3742.112.07
MinAvgMaxCPUFreq Schedutil119.66176.2363.09CPUFreq Performance119.74175.3361OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.1CPU Power Consumption Monitor100200300400500
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pCPUFreq SchedutilCPUFreq Performance70140210280350Min: 363.2 / Avg: 371.48 / Max: 378.55Min: 350.88 / Avg: 363.18 / Max: 369.691. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3CPUFreq SchedutilCPUFreq Performance4K8K12K16K20KSE +/- 171.84, N = 5SE +/- 182.76, N = 519771.2219334.861. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3CPUFreq SchedutilCPUFreq Performance2040608010080.7778.80
MinAvgMaxCPUFreq Schedutil121.56244.8342.91CPUFreq Performance121.74245.4341.74OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor80160240320400
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3CPUFreq SchedutilCPUFreq Performance3K6K9K12K15KMin: 19188.04 / Avg: 19771.22 / Max: 20140.78Min: 18747.2 / Avg: 19334.86 / Max: 19750.991. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

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 CPUCPUFreq SchedutilCPUFreq Performance4080120160200SE +/- 1.86, N = 3SE +/- 2.62, N = 31811851. (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 CPUCPUFreq SchedutilCPUFreq Performance0.15750.3150.47250.630.78750.690.70
MinAvgMaxCPUFreq Schedutil121.06263.9279.86CPUFreq Performance121.25263.5278.66OpenBenchmarking.orgWatts, Fewer Is BetterONNX Runtime 1.6CPU Power Consumption Monitor70140210280350
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUCPUFreq SchedutilCPUFreq Performance306090120150Min: 177.5 / Avg: 181.17 / Max: 183.5Min: 181 / Avg: 185.17 / Max: 1901. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCPUFreq SchedutilCPUFreq Performance246810SE +/- 0.029, N = 4SE +/- 0.031, N = 47.6487.4881. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCPUFreq SchedutilCPUFreq Performance0.00680.01360.02040.02720.0340.030.03
MinAvgMaxCPUFreq Schedutil119.87229.6530.69CPUFreq Performance120.04227.7514.05OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pCPUFreq SchedutilCPUFreq Performance3691215Min: 7.58 / Avg: 7.65 / Max: 7.7Min: 7.44 / Avg: 7.49 / Max: 7.571. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASCPUFreq SchedutilCPUFreq Performance9001800270036004500SE +/- 49.90, N = 9SE +/- 17.79, N = 3406141471. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: BLASCPUFreq SchedutilCPUFreq Performance36912159.729.72
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.26CPU Power Consumption MonitorCPUFreq SchedutilCPUFreq Performance90180270360450Min: 120.35 / Avg: 417.68 / Max: 492.34Min: 121.03 / Avg: 426.62 / Max: 492.36
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASCPUFreq SchedutilCPUFreq Performance7001400210028003500Min: 3811 / Avg: 4060.89 / Max: 4359Min: 4119 / Avg: 4147 / Max: 41801. (CXX) g++ options: -flto -pthread

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETCPUFreq SchedutilCPUFreq Performance300K600K900K1200K1500KSE +/- 13176.39, N = 15SE +/- 10017.79, N = 131427348.101454741.421. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: SETCPUFreq SchedutilCPUFreq Performance3K6K9K12K15K11500.6111683.85
MinAvgMaxCPUFreq Schedutil119.72124.1134.55CPUFreq Performance119.66124.5135.4OpenBenchmarking.orgWatts, Fewer Is BetterRedis 6.0.9CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETCPUFreq SchedutilCPUFreq Performance300K600K900K1200K1500KMin: 1355752.75 / Avg: 1427348.1 / Max: 1519526Min: 1381801.25 / Avg: 1454741.42 / Max: 1521606.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096CPUFreq SchedutilCPUFreq Performance4K8K12K16K20KSE +/- 213.45, N = 3SE +/- 199.64, N = 917015173351. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops Per Watt, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096CPUFreq SchedutilCPUFreq Performance306090120150127.83131.21
MinAvgMaxCPUFreq Schedutil120.07133.1142.83CPUFreq Performance65.17132.1150.06OpenBenchmarking.orgWatts, Fewer Is BetterFFTW 3.3.6CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096CPUFreq SchedutilCPUFreq Performance3K6K9K12K15KMin: 16653 / Avg: 17015.33 / Max: 17392Min: 16583 / Avg: 17334.89 / Max: 186651. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance0.35540.71081.06621.42161.777SE +/- 0.01340, N = 4SE +/- 0.01359, N = 41.554471.57963MIN: 1.29MIN: 1.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxCPUFreq Schedutil120.54279.6482.66CPUFreq Performance120.95280.4481.14OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance246810Min: 1.53 / Avg: 1.55 / Max: 1.59Min: 1.55 / Avg: 1.58 / Max: 1.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 MappingCPUFreq SchedutilCPUFreq Performance140280420560700SE +/- 3.22, N = 3SE +/- 5.92, N = 15655.23665.451. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS Per Watt, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingCPUFreq SchedutilCPUFreq Performance0.61651.2331.84952.4663.08252.702.74
MinAvgMaxCPUFreq Schedutil120.7242.4266.29CPUFreq Performance121.04243.0271.32OpenBenchmarking.orgWatts, Fewer Is BetterTTSIOD 3D Renderer 2.3bCPU Power Consumption Monitor70140210280350
OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingCPUFreq SchedutilCPUFreq Performance120240360480600Min: 651.25 / Avg: 655.23 / Max: 661.59Min: 632.51 / Avg: 665.45 / Max: 717.261. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

BlogBench

BlogBench is designed to replicate the load of a real-world busy file server by stressing the file-system with multiple threads of random reads, writes, and rewrites. The behavior is mimicked of that of a blog by creating blogs with content and pictures, modifying blog posts, adding comments to these blogs, and then reading the content of the blogs. All of these blogs generated are created locally with fake content and pictures. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadCPUFreq SchedutilCPUFreq Performance200K400K600K800K1000KSE +/- 1738.41, N = 3SE +/- 13508.02, N = 3110311810863471. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgFinal Score Per Watt, More Is BetterBlogBench 1.1Test: ReadCPUFreq SchedutilCPUFreq Performance100020003000400050004752.604638.96
MinAvgMaxCPUFreq Schedutil120.02232.1341.5CPUFreq Performance120.83234.2328.63OpenBenchmarking.orgWatts, Fewer Is BetterBlogBench 1.1CPU Power Consumption Monitor80160240320400
OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadCPUFreq SchedutilCPUFreq Performance200K400K600K800K1000KMin: 1099845 / Avg: 1103118.33 / Max: 1105770Min: 1066904 / Avg: 1086347.33 / Max: 11123131. (CC) gcc options: -O2 -pthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance0.11740.23480.35220.46960.587SE +/- 0.004601, N = 4SE +/- 0.005906, N = 40.5219680.514604MIN: 0.43MIN: 0.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxCPUFreq Schedutil120.6274.8455.7CPUFreq Performance120.73278.8480.49OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance246810Min: 0.51 / Avg: 0.52 / Max: 0.54Min: 0.51 / Avg: 0.51 / Max: 0.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedCPUFreq SchedutilCPUFreq Performance2K4K6K8K10KSE +/- 25.21, N = 3SE +/- 110.98, N = 311305.011150.61. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedCPUFreq SchedutilCPUFreq Performance2040608010081.3481.46
MinAvgMaxCPUFreq Schedutil120.66139.0145.14CPUFreq Performance71.08136.9143.87OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedCPUFreq SchedutilCPUFreq Performance2K4K6K8K10KMin: 11265.7 / Avg: 11304.97 / Max: 11352Min: 10929 / Avg: 11150.57 / Max: 11272.71. (CC) gcc options: -O3

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: SqueezeNetCPUFreq SchedutilCPUFreq Performance13K26K39K52K65KSE +/- 412.91, N = 15SE +/- 715.70, N = 462195.461347.2
MinAvgMaxCPUFreq Schedutil121.35449.5481.23CPUFreq Performance121.89451.3481.68OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCPUFreq SchedutilCPUFreq Performance11K22K33K44K55KMin: 59468.9 / Avg: 62195.4 / Max: 65210.3Min: 60282.3 / Avg: 61347.15 / Max: 63426.1

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPCPUFreq SchedutilCPUFreq Performance9K18K27K36K45KSE +/- 393.10, N = 3SE +/- 456.10, N = 339406.7639948.361. (CXX) g++ options: -O3 -march=native -fopenmp
MinAvgMaxCPUFreq Schedutil119.97169.8186.38CPUFreq Performance119.79168.6185.13OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-07-25CPU Power Consumption Monitor50100150200250
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPCPUFreq SchedutilCPUFreq Performance7K14K21K28K35KMin: 38632.56 / Avg: 39406.76 / Max: 39912.35Min: 39249.63 / Avg: 39948.36 / Max: 40805.591. (CXX) g++ options: -O3 -march=native -fopenmp

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCPUFreq SchedutilCPUFreq Performance612182430SE +/- 0.20, N = 9SE +/- 0.19, N = 1025.7525.41
MinAvgMaxCPUFreq Schedutil120.01284.2492.25CPUFreq Performance120.33290.5492.23OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.4CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileCPUFreq SchedutilCPUFreq Performance612182430Min: 25.49 / Avg: 25.75 / Max: 27.38Min: 24.99 / Avg: 25.41 / Max: 27.14

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCPUFreq SchedutilCPUFreq Performance16K32K48K64K80KSE +/- 73.45, N = 3SE +/- 507.10, N = 372636717571. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCPUFreq SchedutilCPUFreq Performance4080120160200185.47183.88
MinAvgMaxCPUFreq Schedutil121.53391.6432.96CPUFreq Performance122.1390.2430.58OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor110220330440550
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishCPUFreq SchedutilCPUFreq Performance13K26K39K52K65KMin: 72547 / Avg: 72636.33 / Max: 72782Min: 70743 / Avg: 71756.67 / Max: 722921. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance0.52491.04981.57472.09962.6245SE +/- 0.01587, N = 3SE +/- 0.02560, N = 152.332902.30467MIN: 2MIN: 1.881. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
MinAvgMaxCPUFreq Schedutil120.8285.6468.65CPUFreq Performance121284.2491.77OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.0CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUCPUFreq SchedutilCPUFreq Performance246810Min: 2.31 / Avg: 2.33 / Max: 2.36Min: 2.11 / Avg: 2.3 / Max: 2.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPCPUFreq SchedutilCPUFreq Performance12K24K36K48K60KSE +/- 598.50, N = 3SE +/- 365.12, N = 356769.4556094.491. (CXX) g++ options: -O3 -march=native -fopenmp
MinAvgMaxCPUFreq Schedutil119.97171.1185.88CPUFreq Performance119.77171.0184.45OpenBenchmarking.orgWatts, Fewer Is BetterFinanceBench 2016-07-25CPU Power Consumption Monitor50100150200250
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPCPUFreq SchedutilCPUFreq Performance10K20K30K40K50KMin: 56062.76 / Avg: 56769.45 / Max: 57959.48Min: 55460.11 / Avg: 56094.49 / Max: 56724.891. (CXX) g++ options: -O3 -march=native -fopenmp

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 FloatCPUFreq SchedutilCPUFreq Performance9K18K27K36K45KSE +/- 395.37, N = 3SE +/- 473.02, N = 339523.539981.9
MinAvgMaxCPUFreq Schedutil120.57451.2480.31CPUFreq Performance120.81451.8480.99OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor120240360480600
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCPUFreq SchedutilCPUFreq Performance7K14K21K28K35KMin: 38800.9 / Avg: 39523.47 / Max: 40162.9Min: 39408.4 / Avg: 39981.87 / Max: 40920.2

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCPUFreq SchedutilCPUFreq Performance246810SE +/- 0.10, N = 3SE +/- 0.09, N = 37.807.89MIN: 7.61 / MAX: 8.59MIN: 7.67 / MAX: 8.57
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.3Scene: DLSCCPUFreq SchedutilCPUFreq Performance0.00450.0090.01350.0180.02250.020.02
MinAvgMaxCPUFreq Schedutil121.49459.0493.07CPUFreq Performance122458.4493.11OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.3CPU Power Consumption Monitor130260390520650
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCCPUFreq SchedutilCPUFreq Performance3691215Min: 7.69 / Avg: 7.8 / Max: 8Min: 7.75 / Avg: 7.89 / Max: 8.06

Cython Benchmark

Cython provides a superset of Python that is geared to deliver C-like levels of performance. This test profile makes use of Cython's bundled benchmark tests and runs an N-Queens sample test as a simple benchmark to the system's Cython performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-QueensCPUFreq SchedutilCPUFreq Performance612182430SE +/- 0.22, N = 3SE +/- 0.07, N = 326.6026.90
MinAvgMaxCPUFreq Schedutil119.89129.5131.45CPUFreq Performance120.27130.1133.83OpenBenchmarking.orgWatts, Fewer Is BetterCython Benchmark 0.29.21CPU Power Consumption Monitor4080120160200
OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-QueensCPUFreq SchedutilCPUFreq Performance612182430Min: 26.38 / Avg: 26.6 / Max: 27.04Min: 26.76 / Avg: 26.9 / Max: 26.99

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedCPUFreq SchedutilCPUFreq Performance2K4K6K8K10KSE +/- 19.43, N = 3SE +/- 71.91, N = 39757.179651.611. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedCPUFreq SchedutilCPUFreq Performance2K4K6K8K10KMin: 9734.46 / Avg: 9757.17 / Max: 9795.84Min: 9570.08 / Avg: 9651.61 / Max: 9794.981. (CC) gcc options: -O3

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 TimeCPUFreq SchedutilCPUFreq Performance3691215SE +/- 0.05, N = 4SE +/- 0.01, N = 411.3111.431. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
MinAvgMaxCPUFreq Schedutil121.52329.6492.05CPUFreq Performance121.58327.6492.09OpenBenchmarking.orgWatts, Fewer Is BetterPOV-Ray 3.7.0.7CPU Power Consumption Monitor130260390520650