Core i7 3770K 2020

Intel Core i7-3770K testing with a ECS Z77H2-A2X v1.0 (4.6.5 BIOS) and ECS Intel HD 4000 2GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012266-HA-COREI737770
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Audio Encoding 3 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 11 Tests
CPU Massive 13 Tests
Creator Workloads 14 Tests
Database Test Suite 4 Tests
Encoding 6 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 12 Tests
Imaging 2 Tests
Machine Learning 8 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 2 Tests
Multi-Core 14 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 2 Tests
OpenMPI Tests 2 Tests
Programmer / Developer System Benchmarks 6 Tests
Python 2 Tests
Scientific Computing 4 Tests
Server 7 Tests
Server CPU Tests 7 Tests
Single-Threaded 6 Tests
Speech 2 Tests
Telephony 2 Tests
Video Encoding 3 Tests

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December 25 2020
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Core i7 3770K 2020ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads)ECS Z77H2-A2X v1.0 (4.6.5 BIOS)Intel Xeon E3-1200 v2/3rd8GB160GB INTEL SSDSA2M160ECS Intel HD 4000 2GB (1150MHz)Realtek ALC892G237HL2 x Realtek RTL8111/8168/8411Ubuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.2 Mesa 20.0.81.2.131GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x21 - Thermald 1.9.1 Java Details- OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Vulnerable: No microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.6.1100%102%103%105%107%RedisMlpack BenchmarkStockfishBYTE Unix Benchmarkyquake2eSpeak-NG Speech EngineMPVasmFishSQLite SpeedtestNumpy BenchmarkRNNoiseWavPack Audio EncodingNode.js V8 Web Tooling BenchmarkBuild2KeyDBApache CouchDBLAMMPS Molecular Dynamics SimulatorLeelaChessZeroGROMACSCraftyx265PHPBenchBasis UniversalWebP Image EncodeIndigoBenchOpenVINOTimed FFmpeg CompilationoneDNNTNNSunflow Rendering SystemLibRawCoremarkrav1eTimed Eigen CompilationNCNNFFTETimed HMMer SearchOpus Codec EncodingKvazaarLZ4 CompressionMonkey Audio EncodingHierarchical INTegrationCLOMPsimdjson

Core i7 3770K 2020yquake2: OpenGL 3.x - 1920 x 1080yquake2: Software CPU - 1920 x 1080lczero: BLASlczero: Eigenclomp: Static OMP Speedupffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchlammps: Rhodopsin Proteinwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDbyte: Dhrystone 2compress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedlibraw: Post-Processing Benchmarkcrafty: Elapsed Timeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastrav1e: 5rav1e: 6rav1e: 10x265: Bosphorus 4Kx265: Bosphorus 1080pcoremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-ffmpeg: Time To Compilebuild2: Time To Compilenumpy: build-eigen: Time To Compileencode-ape: WAV To APEencode-opus: WAV To Opus Encodeespeak: Text-To-Speech Synthesisrnnoise: node-web-tooling: mpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlycouchdb: 100 - 1000 - 24keydb: gromacs: Water Benchmarkbasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2sqlite-speedtest: Timed Time - Size 1,000redis: GETredis: SETncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUindigobench: CPU - Bedroomindigobench: CPU - Supercarhint: FLOATphpbench: PHP Benchmark Suiteencode-wavpack: WAV To WavPackmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionsunflow: Global Illumination + Image Synthesis123126.959.5193209111645.911017621146.7502.4521.8032.78120.3708.83747.5420.40.270.480.4933478112.83281.153614.544.273609.743.223610.323.08669566420.147630.366854.466138.948455.981631666.716310.613.99820.432.031.32.935.4111.710.4870.6161.6754.5119.88134002.970352675984110939389164.543374.323195.86118.92615.8279.99539.73527.4947.7590.44188.85219.331295005.500.16587.15912.65184.99896.9251893285.201406039.1093.9422.2221.3415.5120.8536.413.4594.52813.6088.6655.33213.15189.3095.0331.25339.027315.8830.488236.150.488243.270.3212215.580.3212220.621171.443.391176.693.380.5921.309325871276.0878452414016.01186.09182.9523.289.482.672127.057.4195208111646.286673010146.8172.4621.8062.78320.3108.85147.7370.40.270.480.4932215518.53282.893612.444.073609.843.123611.023.04666481120.136930.857954.475639.055455.946931724.416311.413.96430.432.031.312.935.4111.700.4880.6161.6844.5019.88133663.883212676587410848162164.627372.927197.29118.67715.8169.98639.96027.3947.7490.90194.35219.955293567.700.16687.59812.71784.96996.0451706310.951365839.4293.3822.3821.6815.520.9036.293.4493.96813.8888.8854.97212.75189.3494.9330.90338.017313.9560.498234.970.488225.200.3212287.510.3212184.991168.393.401162.823.410.5921.303325743883.5367152304315.88887.11189.6123.2310.832.678127.259.5188213111663.711414807146.7202.4681.8152.77720.3598.90347.8020.40.270.480.4933471923.63281.433618.944.223609.343.173606.623.02668978820.028231.163954.518539.089655.913231732.616394.114.03040.432.031.312.935.4111.710.4870.6151.6824.5119.71133992.040437650094810758234165.045375.871195.65118.89515.8339.99940.42727.2707.6991.18192.54220.687295573.210.16587.00012.67084.93696.4211779019.661401862.8293.6122.2621.5415.5321.0836.363.4595.02811.9188.8254.87212.94189.7795.0131.30338.491315.1820.498208.700.488242.670.3212209.060.3212271.861160.603.421150.333.460.5941.294325951390.4510552527515.88586.92179.0423.2510.572.679OpenBenchmarking.org

yquake2

This is a test of Yamagi Quake II. Yamagi Quake II is an enhanced client for id Software's Quake II with focus on offline and coop gameplay. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 1080123306090120150SE +/- 0.26, N = 3SE +/- 0.19, N = 3SE +/- 0.07, N = 3126.9127.0127.21. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: OpenGL 3.x - Resolution: 1920 x 108012320406080100Min: 126.5 / Avg: 126.93 / Max: 127.4Min: 126.8 / Avg: 127.03 / Max: 127.4Min: 127.1 / Avg: 127.17 / Max: 127.31. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 10801231326395265SE +/- 0.26, N = 3SE +/- 0.62, N = 3SE +/- 0.37, N = 359.557.459.51. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC
OpenBenchmarking.orgFrames Per Second, More Is Betteryquake2 7.45Renderer: Software CPU - Resolution: 1920 x 10801231224364860Min: 59.1 / Avg: 59.5 / Max: 60Min: 56.5 / Avg: 57.43 / Max: 58.6Min: 59 / Avg: 59.47 / Max: 60.21. (CC) gcc options: -lm -ldl -rdynamic -shared -lSDL2 -O2 -pipe -fomit-frame-pointer -std=gnu99 -fno-strict-aliasing -fwrapv -fvisibility=hidden -MMD -mfpmath=sse -fPIC

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: BLAS1234080120160200SE +/- 1.20, N = 3SE +/- 0.67, N = 31931951881. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1234080120160200Min: 191 / Avg: 192.67 / Max: 195Min: 194 / Avg: 195.33 / Max: 1961. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen12350100150200250SE +/- 0.33, N = 32092082131. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen1234080120160200Min: 209 / Avg: 209.33 / Max: 2101. (CXX) g++ options: -flto -pthread

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1230.2250.450.6750.91.1251111. (CC) gcc options: -fopenmp -O3 -lm

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1232K4K6K8K10KSE +/- 24.63, N = 3SE +/- 10.76, N = 3SE +/- 23.29, N = 311645.9111646.2911663.711. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1232K4K6K8K10KMin: 11598.92 / Avg: 11645.91 / Max: 11682.19Min: 11625.8 / Avg: 11646.29 / Max: 11662.22Min: 11622.86 / Avg: 11663.71 / Max: 11703.521. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3146.75146.82146.721. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150Min: 146.74 / Avg: 146.75 / Max: 146.76Min: 146.58 / Avg: 146.82 / Max: 146.99Min: 146.62 / Avg: 146.72 / Max: 146.861. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 Protein1230.55531.11061.66592.22122.7765SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 32.4522.4622.4681. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810Min: 2.44 / Avg: 2.45 / Max: 2.46Min: 2.45 / Avg: 2.46 / Max: 2.47Min: 2.45 / Avg: 2.47 / Max: 2.481. (CXX) g++ options: -O3 -pthread -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1230.40840.81681.22521.63362.042SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 31.8031.8061.8151. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default123246810Min: 1.8 / Avg: 1.8 / Max: 1.81Min: 1.8 / Avg: 1.81 / Max: 1.82Min: 1.8 / Avg: 1.82 / Max: 1.841. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.62621.25241.87862.50483.131SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 32.7812.7832.7771. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100123246810Min: 2.77 / Avg: 2.78 / Max: 2.79Min: 2.77 / Avg: 2.78 / Max: 2.79Min: 2.77 / Avg: 2.78 / Max: 2.791. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless123510152025SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 320.3720.3120.361. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless123510152025Min: 20.3 / Avg: 20.37 / Max: 20.48Min: 20.29 / Avg: 20.31 / Max: 20.35Min: 20.27 / Avg: 20.36 / Max: 20.431. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123246810SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.016, N = 38.8378.8518.9031. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1233691215Min: 8.83 / Avg: 8.84 / Max: 8.84Min: 8.84 / Avg: 8.85 / Max: 8.86Min: 8.88 / Avg: 8.9 / Max: 8.931. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1231122334455SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 347.5447.7447.801. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1231020304050Min: 47.31 / Avg: 47.54 / Max: 47.69Min: 47.34 / Avg: 47.74 / Max: 47.97Min: 47.4 / Avg: 47.8 / Max: 48.071. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: Kostya1230.090.180.270.360.45SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.40.40.41. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya12312345Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.41. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.06080.12160.18240.24320.304SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.270.270.271. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom12312345Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.271. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.480.481. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets12312345Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.48 / Avg: 0.48 / Max: 0.481. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.11030.22060.33090.44120.5515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.490.490.491. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID123246810Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.49 / Avg: 0.49 / Max: 0.491. (CXX) g++ options: -O3 -pthread

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21237M14M21M28M35MSE +/- 3387.30, N = 3SE +/- 384916.52, N = 6SE +/- 6513.60, N = 333478112.832215518.533471923.6
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21236M12M18M24M30MMin: 33471633.5 / Avg: 33478112.83 / Max: 33483065.7Min: 31524356.6 / Avg: 32215518.53 / Max: 33435235.2Min: 33460963.8 / Avg: 33471923.6 / Max: 33483502.1

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: 1 - Compression Speed1237001400210028003500SE +/- 2.18, N = 3SE +/- 2.65, N = 3SE +/- 2.61, N = 33281.153282.893281.431. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed1236001200180024003000Min: 3276.86 / Avg: 3281.15 / Max: 3283.92Min: 3278.12 / Avg: 3282.89 / Max: 3287.26Min: 3276.41 / Avg: 3281.43 / Max: 3285.181. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed1238001600240032004000SE +/- 5.15, N = 3SE +/- 3.87, N = 3SE +/- 0.31, N = 33614.53612.43618.91. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed1236001200180024003000Min: 3604.3 / Avg: 3614.53 / Max: 3620.7Min: 3606.2 / Avg: 3612.4 / Max: 3619.5Min: 3618.3 / Avg: 3618.9 / Max: 3619.31. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed1231020304050SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.00, N = 344.2744.0744.221. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed123918273645Min: 44.22 / Avg: 44.27 / Max: 44.37Min: 43.61 / Avg: 44.07 / Max: 44.4Min: 44.21 / Avg: 44.22 / Max: 44.221. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed1238001600240032004000SE +/- 1.06, N = 3SE +/- 1.46, N = 3SE +/- 0.75, N = 33609.73609.83609.31. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed1236001200180024003000Min: 3607.7 / Avg: 3609.7 / Max: 3611.3Min: 3606.9 / Avg: 3609.8 / Max: 3611.6Min: 3607.9 / Avg: 3609.27 / Max: 3610.51. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed1231020304050SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 343.2243.1243.171. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed123918273645Min: 43.1 / Avg: 43.22 / Max: 43.32Min: 43.09 / Avg: 43.12 / Max: 43.14Min: 43.08 / Avg: 43.17 / Max: 43.31. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed1238001600240032004000SE +/- 1.67, N = 3SE +/- 0.47, N = 3SE +/- 2.66, N = 33610.33611.03606.61. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed1236001200180024003000Min: 3607.4 / Avg: 3610.27 / Max: 3613.2Min: 3610.1 / Avg: 3611 / Max: 3611.7Min: 3601.3 / Avg: 3606.57 / Max: 3609.91. (CC) gcc options: -O3

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123612182430SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 323.0823.0423.021. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123510152025Min: 23.05 / Avg: 23.08 / Max: 23.12Min: 23.04 / Avg: 23.04 / Max: 23.04Min: 23 / Avg: 23.02 / Max: 23.031. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.4M2.8M4.2M5.6M7MSE +/- 10655.18, N = 3SE +/- 2444.60, N = 3SE +/- 11438.60, N = 36695664666481166897881. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.2M2.4M3.6M4.8M6MMin: 6675897 / Avg: 6695664 / Max: 6712443Min: 6660007 / Avg: 6664811.33 / Max: 6667999Min: 6676884 / Avg: 6689788.33 / Max: 67126001. (CC) gcc options: -pthread -lstdc++ -fprofile-use -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: CPU123510152025SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 320.1520.1420.03MIN: 19.78MIN: 19.82MIN: 19.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123510152025Min: 20 / Avg: 20.15 / Max: 20.32Min: 19.98 / Avg: 20.14 / Max: 20.29Min: 19.92 / Avg: 20.03 / Max: 20.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123714212835SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 330.3730.8631.16MIN: 29MIN: 29.52MIN: 30.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123714212835Min: 30.25 / Avg: 30.37 / Max: 30.47Min: 30.77 / Avg: 30.86 / Max: 30.98Min: 31.15 / Avg: 31.16 / Max: 31.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU1231224364860SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 354.4754.4854.52MIN: 54.08MIN: 54.02MIN: 53.981. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU1231122334455Min: 54.4 / Avg: 54.47 / Max: 54.51Min: 54.42 / Avg: 54.48 / Max: 54.58Min: 54.47 / Avg: 54.52 / Max: 54.561. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123918273645SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 338.9539.0639.09MIN: 38.52MIN: 38.62MIN: 38.741. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123816243240Min: 38.85 / Avg: 38.95 / Max: 39.07Min: 38.85 / Avg: 39.06 / Max: 39.33Min: 39.02 / Avg: 39.09 / Max: 39.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1231326395265SE +/- 0.35, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 355.9855.9555.91MIN: 55.45MIN: 55.59MIN: 55.641. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1231122334455Min: 55.62 / Avg: 55.98 / Max: 56.69Min: 55.81 / Avg: 55.95 / Max: 56.02Min: 55.83 / Avg: 55.91 / Max: 55.981. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1237K14K21K28K35KSE +/- 7.22, N = 3SE +/- 14.76, N = 3SE +/- 4.62, N = 331666.731724.431732.6MIN: 31629.6MIN: 31675.9MIN: 31697.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1236K12K18K24K30KMin: 31652.9 / Avg: 31666.7 / Max: 31677.3Min: 31697.9 / Avg: 31724.43 / Max: 31748.9Min: 31724.8 / Avg: 31732.57 / Max: 31740.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1234K8K12K16K20KSE +/- 5.25, N = 3SE +/- 1.12, N = 3SE +/- 64.09, N = 316310.616311.416394.1MIN: 16280.4MIN: 16286.9MIN: 16294.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1233K6K9K12K15KMin: 16304.4 / Avg: 16310.57 / Max: 16321Min: 16309.2 / Avg: 16311.43 / Max: 16312.7Min: 16324.9 / Avg: 16394.07 / Max: 16522.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU12348121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 314.0013.9614.03MIN: 13.82MIN: 13.8MIN: 13.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU12348121620Min: 13.97 / Avg: 14 / Max: 14.03Min: 13.95 / Avg: 13.96 / Max: 14Min: 14.02 / Avg: 14.03 / Max: 14.051. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium1230.09680.19360.29040.38720.484SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.430.430.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium12312345Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 0.43 / Avg: 0.43 / Max: 0.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium1230.45680.91361.37041.82722.284SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.032.032.031. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium123246810Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 2.03 / Avg: 2.03 / Max: 2.031. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast1230.29480.58960.88441.17921.474SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.301.311.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast123246810Min: 1.3 / Avg: 1.3 / Max: 1.3Min: 1.3 / Avg: 1.31 / Max: 1.31Min: 1.3 / Avg: 1.31 / Max: 1.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast1230.65931.31861.97792.63723.2965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.932.932.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast123246810Min: 2.92 / Avg: 2.93 / Max: 2.93Min: 2.92 / Avg: 2.93 / Max: 2.93Min: 2.92 / Avg: 2.93 / Max: 2.931. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast1231.21732.43463.65194.86926.0865SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.415.415.411. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast123246810Min: 5.4 / Avg: 5.41 / Max: 5.42Min: 5.4 / Avg: 5.41 / Max: 5.42Min: 5.41 / Avg: 5.41 / Max: 5.421. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast1233691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 311.7111.7011.711. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast1233691215Min: 11.71 / Avg: 11.71 / Max: 11.72Min: 11.7 / Avg: 11.7 / Max: 11.71Min: 11.7 / Avg: 11.71 / Max: 11.711. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 0.4 AlphaSpeed: 51230.10980.21960.32940.43920.549SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.4870.4880.487
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5123246810Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.49 / Avg: 0.49 / Max: 0.49

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.13860.27720.41580.55440.693SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.6160.6160.615
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6123246810Min: 0.62 / Avg: 0.62 / Max: 0.62Min: 0.61 / Avg: 0.62 / Max: 0.62Min: 0.61 / Avg: 0.62 / Max: 0.62

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.37890.75781.13671.51561.8945SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 31.6751.6841.682
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10123246810Min: 1.67 / Avg: 1.68 / Max: 1.68Min: 1.68 / Avg: 1.68 / Max: 1.69Min: 1.68 / Avg: 1.68 / Max: 1.69

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 4K1231.01482.02963.04444.05925.074SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.514.504.511. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K123246810Min: 4.49 / Avg: 4.51 / Max: 4.55Min: 4.49 / Avg: 4.5 / Max: 4.52Min: 4.49 / Avg: 4.51 / Max: 4.551. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 319.8819.8819.711. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123510152025Min: 19.8 / Avg: 19.88 / Max: 19.99Min: 19.75 / Avg: 19.88 / Max: 19.96Min: 19.45 / Avg: 19.71 / Max: 19.841. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12330K60K90K120K150KSE +/- 127.86, N = 3SE +/- 83.10, N = 3SE +/- 189.39, N = 3134002.97133663.88133992.041. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12320K40K60K80K100KMin: 133846.41 / Avg: 134002.97 / Max: 134256.35Min: 133533.63 / Avg: 133663.88 / Max: 133818.43Min: 133628.43 / Avg: 133992.04 / Max: 134265.731. (CC) gcc options: -O2 -lrt" -lrt

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1231.4M2.8M4.2M5.6M7MSE +/- 82038.53, N = 6SE +/- 55125.38, N = 3SE +/- 54043.10, N = 36759841676587465009481. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1231.2M2.4M3.6M4.8M6MMin: 6532949 / Avg: 6759841 / Max: 7016786Min: 6672714 / Avg: 6765873.67 / Max: 6863516Min: 6393034 / Avg: 6500948.33 / Max: 65601821. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

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 Depth1232M4M6M8M10MSE +/- 137417.27, N = 3SE +/- 154123.70, N = 3SE +/- 122141.91, N = 3109393891084816210758234
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1232M4M6M8M10MMin: 10706022 / Avg: 10939388.67 / Max: 11181792Min: 10568903 / Avg: 10848161.67 / Max: 11100810Min: 10514115 / Avg: 10758234.33 / Max: 10888056

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile1234080120160200SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3164.54164.63165.05
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile123306090120150Min: 164.31 / Avg: 164.54 / Max: 164.66Min: 164.56 / Avg: 164.63 / Max: 164.74Min: 164.8 / Avg: 165.04 / Max: 165.39

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12380160240320400SE +/- 3.08, N = 3SE +/- 0.65, N = 3SE +/- 2.10, N = 3374.32372.93375.87
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12370140210280350Min: 371.01 / Avg: 374.32 / Max: 380.48Min: 371.71 / Avg: 372.93 / Max: 373.91Min: 371.92 / Avg: 375.87 / Max: 379.08

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark1234080120160200SE +/- 0.26, N = 3SE +/- 0.49, N = 3SE +/- 0.66, N = 3195.86197.29195.65
OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark1234080120160200Min: 195.4 / Avg: 195.86 / Max: 196.3Min: 196.32 / Avg: 197.29 / Max: 197.89Min: 194.33 / Avg: 195.65 / Max: 196.35

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile123306090120150SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3118.93118.68118.90
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100Min: 118.76 / Avg: 118.93 / Max: 119.16Min: 118.59 / Avg: 118.68 / Max: 118.74Min: 118.66 / Avg: 118.89 / Max: 119.08

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12348121620SE +/- 0.08, N = 5SE +/- 0.06, N = 5SE +/- 0.07, N = 515.8315.8215.831. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12348121620Min: 15.74 / Avg: 15.83 / Max: 16.16Min: 15.73 / Avg: 15.82 / Max: 16.04Min: 15.72 / Avg: 15.83 / Max: 16.081. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215SE +/- 0.013, N = 5SE +/- 0.015, N = 5SE +/- 0.017, N = 59.9959.9869.9991. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215Min: 9.96 / Avg: 10 / Max: 10.04Min: 9.97 / Avg: 9.99 / Max: 10.04Min: 9.97 / Avg: 10 / Max: 10.061. (CXX) g++ options: -fvisibility=hidden -logg -lm

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123918273645SE +/- 0.48, N = 4SE +/- 0.09, N = 4SE +/- 0.24, N = 439.7439.9640.431. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123816243240Min: 38.52 / Avg: 39.74 / Max: 40.6Min: 39.73 / Avg: 39.96 / Max: 40.18Min: 40.08 / Avg: 40.43 / Max: 41.121. (CC) gcc options: -O2 -std=c99

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123612182430SE +/- 0.31, N = 3SE +/- 0.47, N = 3SE +/- 0.40, N = 327.4927.3927.271. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123612182430Min: 26.87 / Avg: 27.49 / Max: 27.86Min: 26.47 / Avg: 27.39 / Max: 27.99Min: 26.46 / Avg: 27.27 / Max: 27.671. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark123246810SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 37.757.747.691. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 7.71 / Avg: 7.75 / Max: 7.8Min: 7.7 / Avg: 7.74 / Max: 7.83Min: 7.62 / Avg: 7.69 / Max: 7.741. Nodejs v10.19.0

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only12320406080100SE +/- 0.27, N = 3SE +/- 0.37, N = 3SE +/- 0.26, N = 390.4490.9091.18MIN: 85.11 / MAX: 95.24MIN: 86.33 / MAX: 95.24MIN: 86.96 / MAX: 961. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only12320406080100Min: 89.93 / Avg: 90.44 / Max: 90.82Min: 90.27 / Avg: 90.9 / Max: 91.55Min: 90.7 / Avg: 91.18 / Max: 91.571. mpv 0.32.0

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only1234080120160200SE +/- 2.56, N = 3SE +/- 0.43, N = 3SE +/- 2.65, N = 3188.85194.35192.54MIN: 173.92 / MAX: 206.9MIN: 179.11 / MAX: 206.9MIN: 173.92 / MAX: 210.541. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only1234080120160200Min: 184.91 / Avg: 188.85 / Max: 193.64Min: 193.68 / Avg: 194.35 / Max: 195.15Min: 187.25 / Avg: 192.54 / Max: 195.541. mpv 0.32.0

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 2412350100150200250SE +/- 0.68, N = 3SE +/- 1.25, N = 3SE +/- 1.35, N = 3219.33219.96220.691. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 241234080120160200Min: 218.28 / Avg: 219.33 / Max: 220.61Min: 218.49 / Avg: 219.96 / Max: 222.45Min: 218.3 / Avg: 220.69 / Max: 222.961. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612360K120K180K240K300KSE +/- 2786.79, N = 3SE +/- 974.28, N = 3SE +/- 977.91, N = 3295005.50293567.70295573.211. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612350K100K150K200K250KMin: 289843.55 / Avg: 295005.5 / Max: 299407Min: 291779.49 / Avg: 293567.7 / Max: 295132.16Min: 293980 / Avg: 295573.21 / Max: 297352.251. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.03740.07480.11220.14960.187SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1650.1660.1651. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark12312345Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.16 / Avg: 0.16 / Max: 0.171. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S12320406080100SE +/- 0.09, N = 3SE +/- 0.32, N = 3SE +/- 0.18, N = 387.1687.6087.001. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S12320406080100Min: 86.99 / Avg: 87.16 / Max: 87.32Min: 87.02 / Avg: 87.6 / Max: 88.11Min: 86.65 / Avg: 87 / Max: 87.261. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 01233691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.6512.7212.671. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 012348121620Min: 12.59 / Avg: 12.65 / Max: 12.71Min: 12.7 / Avg: 12.72 / Max: 12.75Min: 12.62 / Avg: 12.67 / Max: 12.691. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 212320406080100SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 385.0084.9784.941. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 21231632486480Min: 84.97 / Avg: 85 / Max: 85.04Min: 84.95 / Avg: 84.97 / Max: 84.98Min: 84.88 / Avg: 84.94 / Max: 84.981. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,00012320406080100SE +/- 0.38, N = 3SE +/- 0.34, N = 3SE +/- 0.41, N = 396.9396.0596.421. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,00012320406080100Min: 96.51 / Avg: 96.92 / Max: 97.69Min: 95.45 / Avg: 96.04 / Max: 96.64Min: 95.6 / Avg: 96.42 / Max: 96.911. (CC) gcc options: -O2 -ldl -lz -lpthread

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET123400K800K1200K1600K2000KSE +/- 34621.08, N = 12SE +/- 19600.12, N = 15SE +/- 21277.26, N = 31893285.201706310.951779019.661. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET123300K600K900K1200K1500KMin: 1661554.88 / Avg: 1893285.2 / Max: 2045251.62Min: 1590079.5 / Avg: 1706310.95 / Max: 1798733.88Min: 1745200.62 / Avg: 1779019.66 / Max: 1818298.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET123300K600K900K1200K1500KSE +/- 30546.69, N = 15SE +/- 37919.02, N = 15SE +/- 35110.23, N = 121406039.101365839.421401862.821. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET123200K400K600K800K1000KMin: 1053774.5 / Avg: 1406039.1 / Max: 1488619.12Min: 1041800 / Avg: 1365839.42 / Max: 1499394.25Min: 1029899.06 / Avg: 1401862.82 / Max: 1484154.251. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet12320406080100SE +/- 0.32, N = 3SE +/- 0.15, N = 3SE +/- 0.26, N = 393.9493.3893.61MIN: 92.51 / MAX: 141.89MIN: 92 / MAX: 111.13MIN: 92.38 / MAX: 108.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet12320406080100Min: 93.45 / Avg: 93.94 / Max: 94.55Min: 93.11 / Avg: 93.38 / Max: 93.61Min: 93.09 / Avg: 93.61 / Max: 93.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2123510152025SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 322.2222.3822.26MIN: 21.97 / MAX: 23.52MIN: 22.12 / MAX: 29.79MIN: 22.04 / MAX: 23.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2123510152025Min: 22.15 / Avg: 22.22 / Max: 22.3Min: 22.28 / Avg: 22.38 / Max: 22.44Min: 22.17 / Avg: 22.26 / Max: 22.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3123510152025SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.04, N = 321.3421.6821.54MIN: 21.06 / MAX: 41.01MIN: 21.1 / MAX: 125.66MIN: 21.09 / MAX: 23.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3123510152025Min: 21.16 / Avg: 21.34 / Max: 21.57Min: 21.44 / Avg: 21.68 / Max: 22.11Min: 21.47 / Avg: 21.54 / Max: 21.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v212348121620SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 315.5115.5015.53MIN: 15.4 / MAX: 16.62MIN: 15.4 / MAX: 19.36MIN: 15.4 / MAX: 16.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v212348121620Min: 15.49 / Avg: 15.51 / Max: 15.55Min: 15.5 / Avg: 15.5 / Max: 15.5Min: 15.47 / Avg: 15.53 / Max: 15.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet123510152025SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 320.8520.9021.08MIN: 20.58 / MAX: 27.09MIN: 20.57 / MAX: 24.62MIN: 20.86 / MAX: 22.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet123510152025Min: 20.78 / Avg: 20.85 / Max: 20.89Min: 20.71 / Avg: 20.9 / Max: 21Min: 21 / Avg: 21.08 / Max: 21.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0123816243240SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 336.4136.2936.36MIN: 35.92 / MAX: 55.79MIN: 35.94 / MAX: 55.96MIN: 35.95 / MAX: 43.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0123816243240Min: 36.16 / Avg: 36.41 / Max: 36.66Min: 36.08 / Avg: 36.29 / Max: 36.47Min: 36.24 / Avg: 36.36 / Max: 36.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.77631.55262.32893.10523.8815SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.453.443.45MIN: 3.41 / MAX: 3.81MIN: 3.4 / MAX: 3.78MIN: 3.42 / MAX: 3.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface123246810Min: 3.43 / Avg: 3.45 / Max: 3.46Min: 3.42 / Avg: 3.44 / Max: 3.46Min: 3.44 / Avg: 3.45 / Max: 3.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet12320406080100SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.50, N = 394.5293.9695.02MIN: 93.13 / MAX: 110.04MIN: 92.72 / MAX: 112.02MIN: 93.49 / MAX: 112.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet12320406080100Min: 94.28 / Avg: 94.52 / Max: 94.76Min: 93.67 / Avg: 93.96 / Max: 94.24Min: 94.41 / Avg: 95.02 / Max: 96.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161232004006008001000SE +/- 1.51, N = 3SE +/- 1.23, N = 3SE +/- 0.45, N = 3813.60813.88811.91MIN: 796.65 / MAX: 1026.51MIN: 796.92 / MAX: 1154.06MIN: 796.83 / MAX: 846.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16123140280420560700Min: 811.35 / Avg: 813.6 / Max: 816.48Min: 811.64 / Avg: 813.88 / Max: 815.86Min: 811.02 / Avg: 811.91 / Max: 812.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1812320406080100SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 388.6688.8888.82MIN: 87.55 / MAX: 108.76MIN: 87.76 / MAX: 105.77MIN: 87.46 / MAX: 104.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1812320406080100Min: 88.4 / Avg: 88.66 / Max: 88.85Min: 88.67 / Avg: 88.88 / Max: 89.16Min: 88.68 / Avg: 88.82 / Max: 88.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1231224364860SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 355.3354.9754.87MIN: 54.88 / MAX: 60.3MIN: 54.43 / MAX: 68.33MIN: 54.45 / MAX: 57.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1231122334455Min: 55.18 / Avg: 55.33 / Max: 55.54Min: 54.76 / Avg: 54.97 / Max: 55.39Min: 54.8 / Avg: 54.87 / Max: 55.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet5012350100150200250SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3213.15212.75212.94MIN: 210.49 / MAX: 245.27MIN: 210.86 / MAX: 247.8MIN: 211.34 / MAX: 228.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501234080120160200Min: 212.76 / Avg: 213.15 / Max: 213.49Min: 212.5 / Avg: 212.75 / Max: 212.93Min: 212.62 / Avg: 212.94 / Max: 213.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1234080120160200SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 3189.30189.34189.77MIN: 186.73 / MAX: 211.63MIN: 186.58 / MAX: 201.3MIN: 187.09 / MAX: 260.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123306090120150Min: 189.03 / Avg: 189.3 / Max: 189.8Min: 189.12 / Avg: 189.34 / Max: 189.63Min: 189.26 / Avg: 189.77 / Max: 190.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd12320406080100SE +/- 0.33, N = 3SE +/- 0.27, N = 3SE +/- 0.43, N = 395.0394.9395.01MIN: 93.92 / MAX: 103.55MIN: 93.96 / MAX: 112.48MIN: 93.69 / MAX: 130.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd12320406080100Min: 94.48 / Avg: 95.03 / Max: 95.62Min: 94.47 / Avg: 94.93 / Max: 95.39Min: 94.45 / Avg: 95.01 / Max: 95.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123714212835SE +/- 0.47, N = 3SE +/- 0.11, N = 3SE +/- 0.44, N = 331.2530.9031.30MIN: 30.4 / MAX: 39.97MIN: 30.57 / MAX: 39MIN: 30.38 / MAX: 69.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123714212835Min: 30.56 / Avg: 31.25 / Max: 32.16Min: 30.69 / Avg: 30.9 / Max: 31.07Min: 30.62 / Avg: 31.3 / Max: 32.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 v212370140210280350SE +/- 1.02, N = 3SE +/- 0.51, N = 3SE +/- 0.20, N = 3339.03338.02338.49MIN: 336.13 / MAX: 390.22MIN: 336.48 / MAX: 343.9MIN: 337.29 / MAX: 347.311. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 337.32 / Avg: 339.03 / Max: 340.84Min: 337.28 / Avg: 338.02 / Max: 339.01Min: 338.25 / Avg: 338.49 / Max: 338.881. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112370140210280350SE +/- 0.00, N = 3SE +/- 0.74, N = 3SE +/- 0.33, N = 3315.88313.96315.18MIN: 312.03 / MAX: 324.63MIN: 309.29 / MAX: 318.2MIN: 311.61 / MAX: 323.221. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 315.88 / Avg: 315.88 / Max: 315.89Min: 312.66 / Avg: 313.96 / Max: 315.23Min: 314.56 / Avg: 315.18 / Max: 315.671. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1230.11030.22060.33090.44120.5515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.490.49
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 0.48 / Avg: 0.48 / Max: 0.49Min: 0.48 / Avg: 0.49 / Max: 0.49Min: 0.48 / Avg: 0.49 / Max: 0.49

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1232K4K6K8K10KSE +/- 7.07, N = 3SE +/- 23.53, N = 3SE +/- 15.50, N = 38236.158234.978208.70
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU12314002800420056007000Min: 8228.05 / Avg: 8236.15 / Max: 8250.23Min: 8193.85 / Avg: 8234.97 / Max: 8275.35Min: 8177.78 / Avg: 8208.7 / Max: 8225.94

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.480.48
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU12312345Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.48 / Avg: 0.48 / Max: 0.48

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1232K4K6K8K10KSE +/- 11.45, N = 3SE +/- 15.89, N = 3SE +/- 1.73, N = 38243.278225.208242.67
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU12314002800420056007000Min: 8220.61 / Avg: 8243.27 / Max: 8257.47Min: 8194.14 / Avg: 8225.2 / Max: 8246.58Min: 8239.75 / Avg: 8242.67 / Max: 8245.74

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.0720.1440.2160.2880.36SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.320.320.32
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12312345Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.32 / Avg: 0.32 / Max: 0.33

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1233K6K9K12K15KSE +/- 74.28, N = 3SE +/- 70.33, N = 3SE +/- 67.97, N = 312215.5812287.5112209.06
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1232K4K6K8K10KMin: 12078.53 / Avg: 12215.58 / Max: 12333.78Min: 12146.85 / Avg: 12287.51 / Max: 12358.08Min: 12100.38 / Avg: 12209.06 / Max: 12334.11

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.0720.1440.2160.2880.36SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.320.320.32
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12312345Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.32 / Avg: 0.32 / Max: 0.32

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1233K6K9K12K15KSE +/- 42.51, N = 3SE +/- 40.43, N = 3SE +/- 61.27, N = 312220.6212184.9912271.86
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1232K4K6K8K10KMin: 12141.7 / Avg: 12220.62 / Max: 12287.48Min: 12104.15 / Avg: 12184.99 / Max: 12227.19Min: 12157.08 / Avg: 12271.86 / Max: 12366.42

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU12330060090012001500SE +/- 7.56, N = 3SE +/- 9.11, N = 3SE +/- 3.01, N = 31171.441168.391160.60
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1232004006008001000Min: 1156.38 / Avg: 1171.44 / Max: 1180.12Min: 1150.21 / Avg: 1168.39 / Max: 1178.62Min: 1157.57 / Avg: 1160.6 / Max: 1166.61

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.76951.5392.30853.0783.8475SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 33.393.403.42
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 3.37 / Avg: 3.39 / Max: 3.43Min: 3.37 / Avg: 3.4 / Max: 3.45Min: 3.4 / Avg: 3.42 / Max: 3.43

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU12330060090012001500SE +/- 1.92, N = 3SE +/- 3.16, N = 3SE +/- 1.68, N = 31176.691162.821150.33
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1232004006008001000Min: 1174.42 / Avg: 1176.69 / Max: 1180.51Min: 1156.52 / Avg: 1162.82 / Max: 1166.35Min: 1148.17 / Avg: 1150.33 / Max: 1153.64

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.77851.5572.33553.1143.8925SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.383.413.46
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 3.37 / Avg: 3.38 / Max: 3.38Min: 3.4 / Avg: 3.41 / Max: 3.44Min: 3.45 / Avg: 3.46 / Max: 3.46

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom1230.13370.26740.40110.53480.6685SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.5920.5920.594
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom123246810Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.59 / Avg: 0.59 / Max: 0.59

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar1230.29450.5890.88351.1781.4725SE +/- 0.003, N = 3SE +/- 0.012, N = 3SE +/- 0.010, N = 31.3091.3031.294
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar123246810Min: 1.3 / Avg: 1.31 / Max: 1.31Min: 1.29 / Avg: 1.3 / Max: 1.33Min: 1.28 / Avg: 1.29 / Max: 1.31

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12370M140M210M280M350MSE +/- 227206.89, N = 3SE +/- 143248.48, N = 3SE +/- 305990.35, N = 3325871276.09325743883.54325951390.451. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12360M120M180M240M300MMin: 325427592.5 / Avg: 325871276.09 / Max: 326178133.01Min: 325458218.91 / Avg: 325743883.54 / Max: 325905614.91Min: 325339685.4 / Avg: 325951390.45 / Max: 326273148.651. (CC) gcc options: -O3 -march=native -lm

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123110K220K330K440K550KSE +/- 218.87, N = 3SE +/- 285.34, N = 3SE +/- 579.38, N = 3524140523043525275
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite12390K180K270K360K450KMin: 523766 / Avg: 524140.33 / Max: 524524Min: 522473 / Avg: 523043 / Max: 523352Min: 524653 / Avg: 525275.33 / Max: 526433

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620SE +/- 0.10, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 516.0115.8915.891. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620Min: 15.89 / Avg: 16.01 / Max: 16.4Min: 15.88 / Avg: 15.89 / Max: 15.91Min: 15.88 / Avg: 15.88 / Max: 15.91. (CXX) g++ options: -rdynamic

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica12320406080100SE +/- 1.17, N = 4SE +/- 1.14, N = 5SE +/- 1.05, N = 686.0987.1186.92
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica12320406080100Min: 84.31 / Avg: 86.09 / Max: 89.5Min: 82.69 / Avg: 87.11 / Max: 89.01Min: 84.5 / Avg: 86.92 / Max: 91.64

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1234080120160200SE +/- 1.29, N = 3SE +/- 6.14, N = 4SE +/- 2.22, N = 3182.95189.61179.04
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda123306090120150Min: 181.47 / Avg: 182.95 / Max: 185.52Min: 173.07 / Avg: 189.61 / Max: 201.98Min: 174.88 / Avg: 179.04 / Max: 182.45

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123612182430SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 323.2823.2323.25
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025Min: 23.15 / Avg: 23.28 / Max: 23.44Min: 23.21 / Avg: 23.23 / Max: 23.25Min: 23.18 / Avg: 23.25 / Max: 23.31

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1233691215SE +/- 0.09, N = 3SE +/- 0.26, N = 12SE +/- 0.29, N = 129.4810.8310.57
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1233691215Min: 9.35 / Avg: 9.48 / Max: 9.66Min: 9.68 / Avg: 10.83 / Max: 13.12Min: 9.06 / Avg: 10.57 / Max: 12.21

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis1230.60281.20561.80842.41123.014SE +/- 0.007, N = 3SE +/- 0.006, N = 3SE +/- 0.027, N = 32.6722.6782.679MIN: 2.55 / MAX: 3.4MIN: 2.55 / MAX: 3.43MIN: 2.54 / MAX: 3.41
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis123246810Min: 2.66 / Avg: 2.67 / Max: 2.68Min: 2.67 / Avg: 2.68 / Max: 2.69Min: 2.65 / Avg: 2.68 / Max: 2.73