GM-1000

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Run 1
October 27 2020
  19 Hours, 56 Minutes
GM-1000
October 28 2020
  18 Hours, 39 Minutes
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October 29 2020
  3 Hours, 47 Minutes
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  14 Hours, 7 Minutes

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GM-1000OpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-9700TE @ 3.80GHz (8 Cores)C OZE GM-1000 v0.0.01.001 (5.13 BIOS)Intel Cannon Lake PCH32GBCIE M8 T405 512GBNVIDIA Quadro P2000 4GB (1455/3003MHz)Realtek ALC888-VDDELL S2409WIntel I219-LM + 2 x Intel 10G X550T + Intel I210Ubuntu 20.105.8.0-25-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9NVIDIA 455.284.6.0OpenCL 1.2 CUDA 11.1.961.2.142GCC 10.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGM-1000 BenchmarksSystem Logs- --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- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3 - GPU Compute Cores: 768- OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1) - Python 3.8.6- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Run 1GM-1000ExtraResult OverviewPhoronix Test Suite100%105%109%114%118%IORoneDNNIncompact3DLeelaChessZeroMonte Carlo Simulations of Ionised NebulaeJohn The RipperLibRawLAMMPS Molecular Dynamics SimulatorRealSR-NCNNHigh Performance Conjugate GradientTimed MAFFT AlignmentZstd CompressionFFTEWaifu2x-NCNN VulkanC-BloscBYTE Unix BenchmarkJava Gradle BuildGLmark2PostMarkNAMDWireGuard + Linux Networking Stack Stress TestTimed HMMer SearchDolfynWebP Image EncodeDaCapo Benchmark

GM-1000compress-7zip: Compress Speed Testai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorecassandra: Writesastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebrl-cad: VGR Performance Metricbyte: Dhrystone 2blosc: blosclzcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200dacapobench: H2dacapobench: Jythondacapobench: Tradesoapdacapobench: Tradebeansdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitdolfyn: Computational Fluid Dynamicsespeak: Text-To-Speech Synthesisrocksdb: Rand Fillrocksdb: Rand Readrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingffte: N=256, 3D Complex FFT Routinegit: Time To Complete Common Git Commandsglmark2: 1920 x 1080octave-benchmark: gromacs: Water Benchmarkhint: FLOAThpcg: hugin: Panorama Photo Assistant + Stitching Timeincompact3d: Cylinderoidn: Memorialior: Write Testior: Read Testjava-gradle-perf: Reactorjohn-the-ripper: Blowfishjohn-the-ripper: MD5keydb: kripke: kvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastlammps: Rhodopsin Proteinlczero: BLASlczero: Eigenleveldb: Hot Readleveldb: Fill Syncleveldb: Fill Syncleveldb: Overwriteleveldb: Overwriteleveldb: Rand Fillleveldb: Rand Fillleveldb: Rand Readleveldb: Seek Randleveldb: Rand Deleteleveldb: Seq Fillleveldb: Seq Fillavifenc: 0avifenc: 2avifenc: 8avifenc: 10libraw: Post-Processing Benchmarkrsvg: SVG Files To PNGluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3mocassin: Dust 2D tau100.0namd: ATPase Simulation - 327,506 Atomsncnn: CPU - squeezenetncnn: 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: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinynumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointnumpy: ocrmypdf: Processing 60 Page PDF Documentonednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUopenssl: RSA 4096-bit Performanceopenvkl: vklBenchmarkpolyhedron: acpolyhedron: airpolyhedron: mdbxpolyhedron: doducpolyhedron: linpkpolyhedron: tfft2polyhedron: aermodpolyhedron: rnflowpolyhedron: induct2polyhedron: proteinpolyhedron: capacitapolyhedron: channel2polyhedron: fatigue2polyhedron: gas_dyn2polyhedron: test_fpu2polyhedron: mp_prop_designpgbench: 1 - 1 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 50 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 50 - Read Write - Average Latencypostmark: Disk Transaction Performancepyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonrawtherapee: Total Benchmark Timerays1bench: Large Scenerealsr-ncnn: 4x - Norealsr-ncnn: 4x - Yesrnnoise: svt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080ptensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tesseract-ocr: Time To OCR 7 Imagesbuild-apache: Time To Compilebuild-gdb: Time To Compilehmmer: Pfam Database Searchbuild-linux-kernel: Time To Compilebuild-llvm: Time To Compilemafft: Multiple Sequence Alignment - LSU RNAbuild-php: Time To Compiletnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1vpxenc: Speed 0vpxenc: Speed 5waifu2x-ncnn: 2x - 3 - Nowaifu2x-ncnn: 2x - 3 - Yeswebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionwireguard: x265: Bosphorus 4Kx265: Bosphorus 1080pyafaray: Total Time For Sample Scenecompress-zstd: 3compress-zstd: 19Run 1GM-1000Extra245886567511407219957.859.5775.58617.904264936044892.98610.842076858431194352406613395487067123720367.7196.53357.2377.2422.20037.448730919248370761074178350283070130256.20338647459.02434418.0150.540361795957.642983.7035773.560707.5730593.90613.58499.50272.5217712435952459827.53214355232.019.035.6610.4723.9144.905.0777887655.0410.32630.52732.826.95332.427.2894.7895.75026.98032.627.100191.631109.8096.6586.25727.5724.3460.680.7662.8483.3628.573.1210.18948.8334.3267.48559.1283464.1995723.9228.386.186.125.216.4810.662.1823.1677.8221.9321.3543.9040.3610.089.052.933.322.283.045.110.987.6632.475.677.9512.9215.6449.47325.475291.98996.527319.0438.7938.43494110.9564.6819566.880316.553210.153258.2737616.244112.69156.49966558.657194.5514.354965.873501519.482.086.012.425.338.333.0522.336.6317.8420.0516.9412.4755.7854.4858.9539.1367.82249710.044942.1221309750.38271471.455657826735311612113819.450628.61161898.9952.045792.61019.8137.931276.83928.9600.0751.455108.1880.363925405794163304916267264267277523669326.96331.651153.823131.268208.8861584.23111.476114.070359.288361.8965.0619.873.22116.8391.7572.79421.1188.59346.982272.7996.6231.66368.3113525.623.3241106407321372207327.939.9176.98631.694313836200967.78600.444245894241261402553193339483366803621354.5192.95344.0776.1722.14533.37763473924616331981091347380873630890.90667473160.37234428.0070.533360309999.316123.7083175.788706.7861533.70461.45476.15271.4287654430834458524.51208895831.999.015.6210.3823.5444.454.8707847584.8540.42260.14630.828.73331.128.4594.7485.92826.18732.527.204190.816110.7376.6726.28327.2624.6310.670.7564.7287.8128.933.1411.11751.8874.7037.78363.6823444.1786825.5430.336.616.515.356.9010.252.0723.9983.0723.5622.5347.3343.0810.279.313.003.392.383.105.231.047.8433.335.808.1713.2216.2849.50226.115300.54497.135322.0739.6089.53324114.2914.8400567.765416.622410.809218.8837116.123612.82036.69517670.341231.3864.385025.912391492.780.39248620.0405031.9881283730.39072668.896657827035211712213819.350528.41161869.0152.346295.48119.7437.875276.62429.1000.0741.446107.7980.064063696011180321246278393279524544130027.10832.115155.395131.248212.6481604.05911.268114.796369.908362.1305.0919.653.21416.8681.7592.78021.1978.57246.982269.9326.5331.42374.7543601.723.335503304.48437.5343549266977372222.24530034.45473213433773.56932755.885111465.18483.18277.14573644130274.88174072026.323624.2371211.34987124.8105.1932871.026917.232212.870311.710616.656113.0804646639.387287.262131.99111.0963.29517.3601.7542.78120.9878.55447.193273.9933552.822.2OpenBenchmarking.org

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRun 1GM-10005K10K15K20K25KSE +/- 298.07, N = 6SE +/- 339.20, N = 424588241101. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestRun 1GM-10004K8K12K16K20KMin: 24175 / Avg: 24587.83 / Max: 26072Min: 23670 / Avg: 24110 / Max: 251171. (CXX) g++ options: -pipe -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 Inference ScoreRun 1GM-1000140280420560700656640

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreRun 1GM-1000160320480640800751732

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreRun 1GM-10003006009001200150014071372

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesRun 1GM-10005K10K15K20K25KSE +/- 358.19, N = 3SE +/- 177.03, N = 152199520732
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesRun 1GM-10004K8K12K16K20KMin: 21311 / Avg: 21995.33 / Max: 22521Min: 19586 / Avg: 20732.33 / Max: 22089

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastRun 1GM-1000246810SE +/- 0.00, N = 3SE +/- 0.01, N = 67.857.931. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastRun 1GM-10003691215Min: 7.85 / Avg: 7.85 / Max: 7.86Min: 7.9 / Avg: 7.93 / Max: 7.981. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumRun 1GM-10003691215SE +/- 0.15, N = 15SE +/- 0.16, N = 159.579.911. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumRun 1GM-10003691215Min: 7.94 / Avg: 9.57 / Max: 9.86Min: 7.99 / Avg: 9.91 / Max: 10.161. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRun 1GM-100020406080100SE +/- 0.54, N = 3SE +/- 1.07, N = 375.5876.981. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRun 1GM-10001530456075Min: 74.51 / Avg: 75.58 / Max: 76.13Min: 74.85 / Avg: 76.98 / Max: 78.191. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveRun 1GM-1000140280420560700SE +/- 0.80, N = 3SE +/- 0.59, N = 3617.90631.691. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveRun 1GM-1000110220330440550Min: 616.34 / Avg: 617.9 / Max: 619.01Min: 630.77 / Avg: 631.69 / Max: 632.791. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricRun 1GM-10009K18K27K36K45K42649431381. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lpthread -ldl -luuid -lm

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 2Run 1GM-1000Extra8M16M24M32M40MSE +/- 46914.16, N = 3SE +/- 15338.08, N = 3SE +/- 307241.89, N = 336044892.936200967.735503304.4
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Run 1GM-1000Extra6M12M18M24M30MMin: 35953351.2 / Avg: 36044892.9 / Max: 36108493.6Min: 36181160.5 / Avg: 36200967.7 / Max: 36231157.4Min: 35051667.9 / Avg: 35503304.4 / Max: 36089970.4

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzRun 1GM-1000Extra2K4K6K8K10KSE +/- 5.73, N = 3SE +/- 11.16, N = 4SE +/- 17.57, N = 38610.88600.48437.51. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzRun 1GM-1000Extra15003000450060007500Min: 8600.3 / Avg: 8610.83 / Max: 8620Min: 8567.4 / Avg: 8600.43 / Max: 8614.6Min: 8407.9 / Avg: 8437.5 / Max: 8468.71. (CXX) g++ options: -rdynamic

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Run 1GM-10009K18K27K36K45KSE +/- 414.12, N = 9SE +/- 486.77, N = 742076442451. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Run 1GM-10008K16K24K32K40KMin: 38766 / Avg: 42075.56 / Max: 42577Min: 41475 / Avg: 44245.29 / Max: 455401. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Run 1GM-100020K40K60K80K100KSE +/- 615.29, N = 3SE +/- 906.54, N = 385843894241. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Run 1GM-100016K32K48K64K80KMin: 84625 / Avg: 85843 / Max: 86604Min: 87616 / Avg: 89424.33 / Max: 904421. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Run 1GM-100030K60K90K120K150KSE +/- 812.61, N = 3SE +/- 87.22, N = 31194351261401. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Run 1GM-100020K40K60K80K100KMin: 117810 / Avg: 119434.67 / Max: 120284Min: 126011 / Avg: 126139.67 / Max: 1263061. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Run 1GM-100050K100K150K200K250KSE +/- 464.17, N = 3SE +/- 2728.74, N = 32406612553191. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Run 1GM-100040K80K120K160K200KMin: 239925 / Avg: 240661 / Max: 241519Min: 250680 / Avg: 255318.67 / Max: 2601281. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringGM-10001632486480Min: 49 / Avg: 67.98 / Max: 82

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: H2Run 1GM-1000Extra7001400210028003500SE +/- 36.99, N = 20SE +/- 39.15, N = 20SE +/- 34.42, N = 20339533393435
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2Run 1GM-1000Extra6001200180024003000Min: 3110 / Avg: 3395.4 / Max: 3647Min: 3013 / Avg: 3338.75 / Max: 3706Min: 3173 / Avg: 3435.1 / Max: 3806

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonRun 1GM-1000Extra11002200330044005500SE +/- 37.83, N = 4SE +/- 23.71, N = 6SE +/- 37.20, N = 4487048334926
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonRun 1GM-1000Extra9001800270036004500Min: 4818 / Avg: 4869.5 / Max: 4982Min: 4762 / Avg: 4832.5 / Max: 4907Min: 4848 / Avg: 4925.75 / Max: 5010

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapRun 1GM-1000Extra15003000450060007500SE +/- 80.79, N = 20SE +/- 85.52, N = 20SE +/- 69.74, N = 20671266806977
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapRun 1GM-1000Extra12002400360048006000Min: 5668 / Avg: 6712 / Max: 7022Min: 5549 / Avg: 6679.85 / Max: 7130Min: 5884 / Avg: 6976.5 / Max: 7428

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansRun 1GM-1000Extra8001600240032004000SE +/- 13.49, N = 4SE +/- 30.71, N = 5SE +/- 43.41, N = 4372036213722
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansRun 1GM-1000Extra6001200180024003000Min: 3694 / Avg: 3719.75 / Max: 3745Min: 3510 / Avg: 3621.4 / Max: 3686Min: 3612 / Avg: 3721.75 / Max: 3824

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 0.7.0Video Input: Chimera 1080pRun 1GM-100080160240320400SE +/- 1.32, N = 3SE +/- 2.32, N = 3367.71354.51MIN: 232.75 / MAX: 584.38MIN: 226.96 / MAX: 562.81. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pRun 1GM-100070140210280350Min: 365.26 / Avg: 367.71 / Max: 369.76Min: 350.42 / Avg: 354.51 / Max: 358.461. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRun 1GM-100020406080100SE +/- 1.49, N = 3SE +/- 1.39, N = 496.5392.95MIN: 80.52 / MAX: 123.95MIN: 77.22 / MAX: 122.951. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KRun 1GM-100020406080100Min: 94.96 / Avg: 96.53 / Max: 99.52Min: 91.52 / Avg: 92.95 / Max: 97.131. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pRun 1GM-100080160240320400SE +/- 0.69, N = 3SE +/- 0.50, N = 3357.23344.07MIN: 301.41 / MAX: 391.96MIN: 298.25 / MAX: 380.671. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pRun 1GM-100060120180240300Min: 355.87 / Avg: 357.23 / Max: 358.12Min: 343.12 / Avg: 344.07 / Max: 344.81. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitRun 1GM-100020406080100SE +/- 0.16, N = 3SE +/- 0.61, N = 377.2476.17MIN: 48.58 / MAX: 189.84MIN: 47.76 / MAX: 187.81. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitRun 1GM-10001530456075Min: 77.06 / Avg: 77.24 / Max: 77.56Min: 75.47 / Avg: 76.17 / Max: 77.381. (CC) gcc options: -pthread

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsRun 1GM-1000Extra510152025SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 322.2022.1522.25
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsRun 1GM-1000Extra510152025Min: 22.01 / Avg: 22.2 / Max: 22.37Min: 22 / Avg: 22.14 / Max: 22.23Min: 22.19 / Avg: 22.25 / Max: 22.35

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 SynthesisRun 1GM-1000918273645SE +/- 0.61, N = 20SE +/- 0.19, N = 437.4533.381. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisRun 1GM-1000816243240Min: 31.27 / Avg: 37.45 / Max: 41.09Min: 32.84 / Avg: 33.38 / Max: 33.671. (CC) gcc options: -O2 -std=c99

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillRun 1GM-1000160K320K480K640K800KSE +/- 8348.44, N = 3SE +/- 7757.34, N = 57309196347391. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillRun 1GM-1000130K260K390K520K650KMin: 714235 / Avg: 730919.33 / Max: 739822Min: 614178 / Avg: 634738.6 / Max: 6585481. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadRun 1GM-10005M10M15M20M25MSE +/- 309204.37, N = 3SE +/- 338773.40, N = 424837076246163311. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadRun 1GM-10004M8M12M16M20MMin: 24508049 / Avg: 24837076.33 / Max: 25455052Min: 24244615 / Avg: 24616331 / Max: 256318081. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillRun 1GM-1000200K400K600K800K1000KSE +/- 9270.31, N = 15SE +/- 13114.25, N = 1510741789810911. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillRun 1GM-1000200K400K600K800K1000KMin: 1045047 / Avg: 1074178 / Max: 1172186Min: 882368 / Avg: 981090.53 / Max: 10736091. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncRun 1GM-10008001600240032004000SE +/- 66.63, N = 15SE +/- 40.71, N = 15350234731. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncRun 1GM-10006001200180024003000Min: 3180 / Avg: 3501.53 / Max: 4013Min: 3180 / Avg: 3472.73 / Max: 37601. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingRun 1GM-1000200K400K600K800K1000KSE +/- 7495.26, N = 15SE +/- 8029.23, N = 88307018087361. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingRun 1GM-1000140K280K420K560K700KMin: 792035 / Avg: 830701.27 / Max: 890885Min: 780815 / Avg: 808736.38 / Max: 8403101. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

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 RoutineRun 1GM-1000Extra7K14K21K28K35KSE +/- 57.05, N = 3SE +/- 47.47, N = 11SE +/- 74.99, N = 330256.2030890.9130034.451. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineRun 1GM-1000Extra5K10K15K20K25KMin: 30159.92 / Avg: 30256.2 / Max: 30357.38Min: 30699.22 / Avg: 30890.91 / Max: 31121.85Min: 29889.31 / Avg: 30034.45 / Max: 30139.731. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsRun 1GM-10001428425670SE +/- 0.08, N = 3SE +/- 0.41, N = 359.0260.371. git version 2.27.0
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsRun 1GM-10001224364860Min: 58.94 / Avg: 59.02 / Max: 59.19Min: 59.56 / Avg: 60.37 / Max: 60.791. git version 2.27.0

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Run 1GM-1000Extra7001400210028003500344134423377

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Run 1GM-1000246810SE +/- 0.016, N = 5SE +/- 0.022, N = 68.0158.007
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0Run 1GM-10003691215Min: 7.99 / Avg: 8.02 / Max: 8.08Min: 7.98 / Avg: 8.01 / Max: 8.12

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 BenchmarkRun 1GM-10000.12150.2430.36450.4860.6075SE +/- 0.002, N = 3SE +/- 0.001, N = 30.5400.5331. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRun 1GM-1000246810Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.53 / Avg: 0.53 / Max: 0.541. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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: FLOATRun 1GM-100080M160M240M320M400MSE +/- 196130.98, N = 3SE +/- 534147.70, N = 3361795957.64360309999.321. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATRun 1GM-100060M120M180M240M300MMin: 361411904.55 / Avg: 361795957.64 / Max: 362057118.08Min: 359505128.58 / Avg: 360309999.32 / Max: 361320775.571. (CC) gcc options: -O3 -march=native -lm

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Run 1GM-1000Extra0.83441.66882.50323.33764.172SE +/- 0.00326, N = 3SE +/- 0.00058, N = 3SE +/- 0.02421, N = 33.703573.708313.569321. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1Run 1GM-1000Extra246810Min: 3.7 / Avg: 3.7 / Max: 3.71Min: 3.71 / Avg: 3.71 / Max: 3.71Min: 3.54 / Avg: 3.57 / Max: 3.621. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRun 1GM-100020406080100SE +/- 0.66, N = 3SE +/- 0.89, N = 373.5675.79
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeRun 1GM-10001530456075Min: 72.39 / Avg: 73.56 / Max: 74.69Min: 74.1 / Avg: 75.79 / Max: 77.14

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderRun 1GM-1000Extra160320480640800SE +/- 0.45, N = 3SE +/- 1.81, N = 3SE +/- 2.16, N = 3707.57706.79755.891. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderRun 1GM-1000Extra130260390520650Min: 706.72 / Avg: 707.57 / Max: 708.24Min: 703.74 / Avg: 706.79 / Max: 710.01Min: 751.65 / Avg: 755.89 / Max: 758.791. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRun 1GM-10000.87751.7552.63253.514.3875SE +/- 0.05, N = 3SE +/- 0.04, N = 63.903.70
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialRun 1GM-1000246810Min: 3.84 / Avg: 3.9 / Max: 4Min: 3.65 / Avg: 3.7 / Max: 3.91

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestRun 1GM-1000Extra130260390520650SE +/- 20.22, N = 12SE +/- 32.44, N = 15SE +/- 23.14, N = 15613.58461.45465.18MIN: 9.06 / MAX: 870.73MIN: 18.41 / MAX: 691.92MIN: 16.83 / MAX: 823.51. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestRun 1GM-1000Extra110220330440550Min: 393.29 / Avg: 613.58 / Max: 658.22Min: 308.94 / Avg: 461.45 / Max: 626.34Min: 348.59 / Avg: 465.18 / Max: 619.121. (CC) gcc options: -O2 -lm -pthread -lmpi

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestRun 1GM-1000Extra110220330440550SE +/- 3.03, N = 12SE +/- 4.42, N = 15SE +/- 2.74, N = 15499.50476.15483.18MIN: 30.23 / MAX: 574.4MIN: 10.65 / MAX: 548.82MIN: 27.08 / MAX: 568.891. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestRun 1GM-1000Extra90180270360450Min: 467.78 / Avg: 499.5 / Max: 507.85Min: 443.63 / Avg: 476.15 / Max: 499.02Min: 463.88 / Avg: 483.18 / Max: 507.621. (CC) gcc options: -O2 -lm -pthread -lmpi

Java Gradle Build

This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorRun 1GM-1000Extra60120180240300SE +/- 3.36, N = 9SE +/- 3.29, N = 3SE +/- 1.90, N = 3272.52271.43277.15
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorRun 1GM-1000Extra50100150200250Min: 254.3 / Avg: 272.52 / Max: 291.98Min: 267.43 / Avg: 271.43 / Max: 277.96Min: 273.53 / Avg: 277.15 / Max: 279.96

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: BlowfishRun 1GM-1000Extra17003400510068008500SE +/- 113.08, N = 4SE +/- 60.95, N = 13SE +/- 111.84, N = 37712765473641. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishRun 1GM-1000Extra13002600390052006500Min: 7598 / Avg: 7711.75 / Max: 8051Min: 7579 / Avg: 7653.77 / Max: 8385Min: 7250 / Avg: 7364.33 / Max: 75881. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Run 1GM-1000Extra90K180K270K360K450KSE +/- 5832.73, N = 5SE +/- 3391.63, N = 15SE +/- 5262.95, N = 54359524308344130271. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Run 1GM-1000Extra80K160K240K320K400KMin: 429004 / Avg: 435952.2 / Max: 459238Min: 424345 / Avg: 430834 / Max: 477696Min: 407321 / Avg: 413026.6 / Max: 4340731. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

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 6.0.16Run 1GM-1000100K200K300K400K500KSE +/- 2753.95, N = 3SE +/- 3781.40, N = 3459827.53458524.511. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Run 1GM-100080K160K240K320K400KMin: 456124.57 / Avg: 459827.53 / Max: 465210.13Min: 454149.5 / Avg: 458524.51 / Max: 466054.441. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Run 1GM-10005M10M15M20M25MSE +/- 53251.01, N = 3SE +/- 42312.00, N = 321435523208895831. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Run 1GM-10004M8M12M16M20MMin: 21369090 / Avg: 21435523.33 / Max: 21540830Min: 20805700 / Avg: 20889583.33 / Max: 209412001. (CXX) g++ options: -O3 -fopenmp

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: MediumRun 1GM-10000.45230.90461.35691.80922.2615SE +/- 0.01, N = 3SE +/- 0.01, N = 32.011.991. (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: MediumRun 1GM-1000246810Min: 2 / Avg: 2.01 / Max: 2.02Min: 1.97 / Avg: 1.99 / Max: 2.011. (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: MediumRun 1GM-10003691215SE +/- 0.08, N = 3SE +/- 0.15, N = 39.039.011. (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: MediumRun 1GM-10003691215Min: 8.95 / Avg: 9.03 / Max: 9.19Min: 8.86 / Avg: 9.01 / Max: 9.31. (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 FastRun 1GM-10001.27352.5473.82055.0946.3675SE +/- 0.04, N = 3SE +/- 0.06, N = 35.665.621. (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 FastRun 1GM-1000246810Min: 5.61 / Avg: 5.66 / Max: 5.73Min: 5.56 / Avg: 5.62 / Max: 5.741. (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 FastRun 1GM-10003691215SE +/- 0.13, N = 3SE +/- 0.15, N = 410.4710.381. (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 FastRun 1GM-10003691215Min: 10.32 / Avg: 10.47 / Max: 10.73Min: 10.22 / Avg: 10.38 / Max: 10.811. (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 FastRun 1GM-1000612182430SE +/- 0.27, N = 7SE +/- 0.24, N = 1423.9123.541. (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 FastRun 1GM-1000612182430Min: 23.58 / Avg: 23.91 / Max: 25.5Min: 23.26 / Avg: 23.54 / Max: 26.621. (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 FastRun 1GM-10001020304050SE +/- 0.52, N = 13SE +/- 0.87, N = 1544.9044.451. (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 FastRun 1GM-1000918273645Min: 44.28 / Avg: 44.9 / Max: 51.18Min: 43.3 / Avg: 44.45 / Max: 56.571. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 24Aug2020Model: Rhodopsin ProteinRun 1GM-1000Extra1.14232.28463.42694.56925.7115SE +/- 0.013, N = 3SE +/- 0.047, N = 15SE +/- 0.033, N = 35.0774.8704.8811. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRun 1GM-1000Extra246810Min: 5.06 / Avg: 5.08 / Max: 5.1Min: 4.71 / Avg: 4.87 / Max: 5.13Min: 4.82 / Avg: 4.88 / Max: 4.941. (CXX) g++ options: -O3 -pthread -lm

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: BLASRun 1GM-1000Extra2004006008001000SE +/- 6.17, N = 3SE +/- 6.44, N = 3SE +/- 2.19, N = 37887847401. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASRun 1GM-1000Extra140280420560700Min: 781 / Avg: 787.67 / Max: 800Min: 771 / Avg: 783.67 / Max: 792Min: 736 / Avg: 740.33 / Max: 7431. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenRun 1GM-1000Extra160320480640800SE +/- 3.18, N = 3SE +/- 2.52, N = 3SE +/- 2.19, N = 37657587201. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenRun 1GM-1000Extra130260390520650Min: 761 / Avg: 764.67 / Max: 771Min: 755 / Avg: 758 / Max: 763Min: 716 / Avg: 720.33 / Max: 7231. (CXX) g++ options: -flto -pthread

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadRun 1GM-10001.13422.26843.40264.53685.671SE +/- 0.048, N = 15SE +/- 0.045, N = 155.0414.8541. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadRun 1GM-1000246810Min: 4.8 / Avg: 5.04 / Max: 5.46Min: 4.59 / Avg: 4.85 / Max: 5.131. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncRun 1GM-10000.090.180.270.360.45SE +/- 0.02, N = 15SE +/- 0.00, N = 100.30.41. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncRun 1GM-100012345Min: 0.2 / Avg: 0.34 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncRun 1GM-10006001200180024003000SE +/- 194.67, N = 15SE +/- 8.65, N = 102630.532260.151. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncRun 1GM-10005001000150020002500Min: 2096.97 / Avg: 2630.53 / Max: 3963.51Min: 2218.02 / Avg: 2260.15 / Max: 2294.611. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteRun 1GM-1000816243240SE +/- 0.15, N = 3SE +/- 0.26, N = 1532.830.81. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteRun 1GM-1000714212835Min: 32.5 / Avg: 32.77 / Max: 33Min: 29.4 / Avg: 30.77 / Max: 32.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteRun 1GM-1000714212835SE +/- 0.12, N = 3SE +/- 0.24, N = 1526.9528.731. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteRun 1GM-1000612182430Min: 26.75 / Avg: 26.95 / Max: 27.17Min: 27.31 / Avg: 28.73 / Max: 30.061. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillRun 1GM-1000816243240SE +/- 0.12, N = 3SE +/- 0.32, N = 1532.431.11. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillRun 1GM-1000714212835Min: 32.2 / Avg: 32.4 / Max: 32.6Min: 29.5 / Avg: 31.1 / Max: 32.51. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillRun 1GM-1000714212835SE +/- 0.10, N = 3SE +/- 0.30, N = 1527.2928.461. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillRun 1GM-1000612182430Min: 27.11 / Avg: 27.29 / Max: 27.45Min: 27.23 / Avg: 28.46 / Max: 29.991. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadRun 1GM-10001.07752.1553.23254.315.3875SE +/- 0.075, N = 3SE +/- 0.022, N = 84.7894.7481. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadRun 1GM-1000246810Min: 4.68 / Avg: 4.79 / Max: 4.93Min: 4.65 / Avg: 4.75 / Max: 4.821. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomRun 1GM-10001.33382.66764.00145.33526.669SE +/- 0.056, N = 3SE +/- 0.070, N = 155.7505.9281. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomRun 1GM-1000246810Min: 5.64 / Avg: 5.75 / Max: 5.83Min: 5.43 / Avg: 5.93 / Max: 6.161. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteRun 1GM-1000612182430SE +/- 0.23, N = 15SE +/- 0.34, N = 426.9826.191. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteRun 1GM-1000612182430Min: 25.37 / Avg: 26.98 / Max: 28.57Min: 25.66 / Avg: 26.19 / Max: 27.111. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillRun 1GM-1000816243240SE +/- 0.31, N = 9SE +/- 0.41, N = 532.632.51. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillRun 1GM-1000714212835Min: 31.6 / Avg: 32.6 / Max: 34.2Min: 31.4 / Avg: 32.52 / Max: 33.81. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillRun 1GM-1000612182430SE +/- 0.25, N = 9SE +/- 0.33, N = 527.1027.201. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillRun 1GM-1000612182430Min: 25.8 / Avg: 27.1 / Max: 27.97Min: 26.18 / Avg: 27.2 / Max: 28.141. (CXX) g++ options: -O3 -lsnappy -lpthread

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Run 1GM-10004080120160200SE +/- 1.18, N = 3SE +/- 0.11, N = 3191.63190.821. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Run 1GM-10004080120160200Min: 190.35 / Avg: 191.63 / Max: 193.99Min: 190.69 / Avg: 190.82 / Max: 191.041. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Run 1GM-100020406080100SE +/- 0.67, N = 3SE +/- 1.76, N = 3109.81110.741. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Run 1GM-100020406080100Min: 108.51 / Avg: 109.81 / Max: 110.74Min: 107.37 / Avg: 110.74 / Max: 113.321. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Run 1GM-1000246810SE +/- 0.001, N = 3SE +/- 0.014, N = 66.6586.6721. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Run 1GM-10003691215Min: 6.66 / Avg: 6.66 / Max: 6.66Min: 6.65 / Avg: 6.67 / Max: 6.731. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Run 1GM-1000246810SE +/- 0.002, N = 3SE +/- 0.007, N = 76.2576.2831. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Run 1GM-10003691215Min: 6.25 / Avg: 6.26 / Max: 6.26Min: 6.25 / Avg: 6.28 / Max: 6.311. (CXX) g++ options: -O3 -fPIC

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 BenchmarkRun 1GM-1000Extra612182430SE +/- 0.31, N = 3SE +/- 0.32, N = 3SE +/- 0.25, N = 327.5727.2626.321. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRun 1GM-1000Extra612182430Min: 27.25 / Avg: 27.57 / Max: 28.18Min: 26.9 / Avg: 27.26 / Max: 27.9Min: 26.01 / Avg: 26.32 / Max: 26.821. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGRun 1GM-1000612182430SE +/- 0.34, N = 4SE +/- 0.42, N = 324.3524.631. rsvg-convert version 2.50.1
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGRun 1GM-1000612182430Min: 23.95 / Avg: 24.35 / Max: 25.36Min: 24.21 / Avg: 24.63 / Max: 25.481. rsvg-convert version 2.50.1

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: DLSCRun 1GM-10000.1530.3060.4590.6120.765SE +/- 0.01, N = 4SE +/- 0.01, N = 150.680.67MIN: 0.61 / MAX: 0.96MIN: 0.59 / MAX: 0.97
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCRun 1GM-1000246810Min: 0.66 / Avg: 0.68 / Max: 0.71Min: 0.65 / Avg: 0.67 / Max: 0.75

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRun 1GM-10000.1710.3420.5130.6840.855SE +/- 0.01, N = 5SE +/- 0.01, N = 120.760.75MIN: 0.67 / MAX: 1.12MIN: 0.65 / MAX: 1.15
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismRun 1GM-1000246810Min: 0.74 / Avg: 0.76 / Max: 0.79Min: 0.73 / Avg: 0.75 / Max: 0.83

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaRun 1GM-10001428425670SE +/- 0.82, N = 3SE +/- 1.11, N = 362.8464.72
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaRun 1GM-10001326395265Min: 61.2 / Avg: 62.84 / Max: 63.8Min: 62.5 / Avg: 64.72 / Max: 65.89

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRun 1GM-100020406080100SE +/- 0.79, N = 3SE +/- 0.01, N = 383.3687.81
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaRun 1GM-100020406080100Min: 82.55 / Avg: 83.36 / Max: 84.93Min: 87.8 / Avg: 87.81 / Max: 87.82

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRun 1GM-1000714212835SE +/- 0.03, N = 3SE +/- 0.20, N = 328.5728.93
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRun 1GM-1000612182430Min: 28.54 / Avg: 28.57 / Max: 28.62Min: 28.67 / Avg: 28.93 / Max: 29.31

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionRun 1GM-10000.70651.4132.11952.8263.5325SE +/- 0.04, N = 15SE +/- 0.03, N = 153.123.14
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionRun 1GM-1000246810Min: 2.92 / Avg: 3.12 / Max: 3.36Min: 2.97 / Avg: 3.14 / Max: 3.34

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Run 1GM-10003691215SE +/- 0.01, N = 3SE +/- 0.02, N = 310.1911.12MIN: 9.85 / MAX: 11.9MIN: 9.82 / MAX: 23.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Run 1GM-10003691215Min: 10.17 / Avg: 10.19 / Max: 10.21Min: 11.07 / Avg: 11.12 / Max: 11.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Run 1GM-10001224364860SE +/- 0.04, N = 3SE +/- 0.24, N = 348.8351.89MIN: 46.03 / MAX: 59.96MIN: 48.29 / MAX: 64.911. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Run 1GM-10001020304050Min: 48.78 / Avg: 48.83 / Max: 48.9Min: 51.41 / Avg: 51.89 / Max: 52.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Run 1GM-10001.05822.11643.17464.23285.291SE +/- 0.293, N = 3SE +/- 0.368, N = 34.3264.703MIN: 3.46 / MAX: 10.6MIN: 3.43 / MAX: 12.111. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Run 1GM-1000246810Min: 3.74 / Avg: 4.33 / Max: 4.67Min: 3.97 / Avg: 4.7 / Max: 5.121. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Run 1GM-1000246810SE +/- 0.215, N = 3SE +/- 0.617, N = 37.4857.783MIN: 4.55 / MAX: 14.65MIN: 4.59 / MAX: 20.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Run 1GM-10003691215Min: 7.05 / Avg: 7.48 / Max: 7.71Min: 6.55 / Avg: 7.78 / Max: 8.41. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Run 1GM-10001428425670SE +/- 0.04, N = 3SE +/- 0.28, N = 359.1363.68MIN: 57.34 / MAX: 70.07MIN: 58.94 / MAX: 77.621. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Run 1GM-10001224364860Min: 59.08 / Avg: 59.13 / Max: 59.21Min: 63.13 / Avg: 63.68 / Max: 63.971. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Run 1GM-1000Extra80160240320400SE +/- 0.67, N = 3SE +/- 1.33, N = 3SE +/- 3.53, N = 33463443621. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Run 1GM-1000Extra60120180240300Min: 345 / Avg: 346.33 / Max: 347Min: 341 / Avg: 343.67 / Max: 345Min: 355 / Avg: 361.67 / Max: 3671. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRun 1GM-1000Extra0.95341.90682.86023.81364.767SE +/- 0.00287, N = 3SE +/- 0.00286, N = 3SE +/- 0.00186, N = 34.199574.178684.23712
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRun 1GM-1000Extra246810Min: 4.2 / Avg: 4.2 / Max: 4.21Min: 4.17 / Avg: 4.18 / Max: 4.18Min: 4.23 / Avg: 4.24 / Max: 4.24

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 20200916Target: CPU - Model: squeezenetRun 1GM-1000612182430SE +/- 0.02, N = 3SE +/- 0.12, N = 323.9225.54MIN: 23.33 / MAX: 29.32MIN: 24.15 / MAX: 35.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRun 1GM-1000612182430Min: 23.88 / Avg: 23.92 / Max: 23.95Min: 25.33 / Avg: 25.54 / Max: 25.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRun 1GM-1000714212835SE +/- 0.04, N = 3SE +/- 0.17, N = 328.3830.33MIN: 27.62 / MAX: 39MIN: 28.89 / MAX: 41.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRun 1GM-1000714212835Min: 28.32 / Avg: 28.38 / Max: 28.46Min: 30.09 / Avg: 30.33 / Max: 30.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Run 1GM-1000246810SE +/- 0.16, N = 3SE +/- 0.22, N = 36.186.61MIN: 5.65 / MAX: 9.55MIN: 5.61 / MAX: 9.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Run 1GM-10003691215Min: 5.95 / Avg: 6.18 / Max: 6.49Min: 6.17 / Avg: 6.61 / Max: 6.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Run 1GM-1000246810SE +/- 0.58, N = 3SE +/- 0.69, N = 36.126.51MIN: 4.76 / MAX: 8.21MIN: 4.68 / MAX: 9.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Run 1GM-10003691215Min: 4.97 / Avg: 6.12 / Max: 6.72Min: 5.14 / Avg: 6.51 / Max: 7.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Run 1GM-10001.20382.40763.61144.81526.019SE +/- 0.37, N = 3SE +/- 0.61, N = 35.215.35MIN: 4.42 / MAX: 6.91MIN: 3.72 / MAX: 141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Run 1GM-1000246810Min: 4.48 / Avg: 5.21 / Max: 5.59Min: 4.13 / Avg: 5.35 / Max: 5.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRun 1GM-1000246810SE +/- 0.73, N = 3SE +/- 0.81, N = 36.486.90MIN: 4.85 / MAX: 8.88MIN: 4.78 / MAX: 16.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRun 1GM-10003691215Min: 5.02 / Avg: 6.48 / Max: 7.24Min: 5.29 / Avg: 6.9 / Max: 7.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Run 1GM-10003691215SE +/- 0.05, N = 3SE +/- 1.08, N = 310.6610.25MIN: 9.94 / MAX: 11.09MIN: 7.48 / MAX: 13.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Run 1GM-10003691215Min: 10.58 / Avg: 10.66 / Max: 10.75Min: 8.09 / Avg: 10.25 / Max: 11.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRun 1GM-10000.49050.9811.47151.9622.4525SE +/- 0.01, N = 3SE +/- 0.24, N = 32.182.07MIN: 2.01 / MAX: 2.4MIN: 1.46 / MAX: 3.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRun 1GM-1000246810Min: 2.16 / Avg: 2.18 / Max: 2.19Min: 1.58 / Avg: 2.07 / Max: 2.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetRun 1GM-1000612182430SE +/- 0.02, N = 3SE +/- 0.96, N = 323.1623.99MIN: 21.99 / MAX: 34.09MIN: 17.71 / MAX: 26.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetRun 1GM-1000612182430Min: 23.13 / Avg: 23.16 / Max: 23.19Min: 22.09 / Avg: 23.99 / Max: 25.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Run 1GM-100020406080100SE +/- 0.02, N = 3SE +/- 0.13, N = 377.8283.07MIN: 77.53 / MAX: 87.07MIN: 81.47 / MAX: 93.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Run 1GM-10001632486480Min: 77.77 / Avg: 77.82 / Max: 77.85Min: 82.81 / Avg: 83.07 / Max: 83.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Run 1GM-1000612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 321.9323.56MIN: 20 / MAX: 22.94MIN: 21.32 / MAX: 35.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Run 1GM-1000612182430Min: 21.9 / Avg: 21.93 / Max: 21.94Min: 23.5 / Avg: 23.56 / Max: 23.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRun 1GM-1000510152025SE +/- 0.01, N = 3SE +/- 0.06, N = 321.3522.53MIN: 20.63 / MAX: 22.03MIN: 21.39 / MAX: 32.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRun 1GM-1000510152025Min: 21.34 / Avg: 21.35 / Max: 21.37Min: 22.45 / Avg: 22.53 / Max: 22.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Run 1GM-10001122334455SE +/- 0.06, N = 3SE +/- 0.19, N = 343.9047.33MIN: 41.9 / MAX: 53.55MIN: 44.74 / MAX: 59.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Run 1GM-10001020304050Min: 43.82 / Avg: 43.9 / Max: 44.01Min: 47.11 / Avg: 47.33 / Max: 47.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRun 1GM-10001020304050SE +/- 0.03, N = 3SE +/- 0.16, N = 340.3643.08MIN: 39.31 / MAX: 42.52MIN: 41.28 / MAX: 53.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRun 1GM-1000918273645Min: 40.32 / Avg: 40.36 / Max: 40.42Min: 42.84 / Avg: 43.08 / Max: 43.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRun 1GM-10003691215SE +/- 0.01, N = 3SE +/- 0.00, N = 310.0810.27MIN: 9.92 / MAX: 10.38MIN: 9.98 / MAX: 10.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetRun 1GM-10003691215Min: 10.06 / Avg: 10.08 / Max: 10.1Min: 10.26 / Avg: 10.27 / Max: 10.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRun 1GM-10003691215SE +/- 0.00, N = 3SE +/- 0.00, N = 39.059.31MIN: 8.97 / MAX: 9.41MIN: 9 / MAX: 10.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetRun 1GM-10003691215Min: 9.05 / Avg: 9.05 / Max: 9.05Min: 9.31 / Avg: 9.31 / Max: 9.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Run 1GM-10000.6751.352.0252.73.375SE +/- 0.00, N = 3SE +/- 0.03, N = 32.933.00MIN: 2.89 / MAX: 3.3MIN: 2.89 / MAX: 3.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Run 1GM-1000246810Min: 2.93 / Avg: 2.93 / Max: 2.93Min: 2.95 / Avg: 3 / Max: 3.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Run 1GM-10000.76281.52562.28843.05123.814SE +/- 0.00, N = 3SE +/- 0.03, N = 33.323.39MIN: 3.28 / MAX: 3.63MIN: 3.29 / MAX: 4.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Run 1GM-1000246810Min: 3.32 / Avg: 3.32 / Max: 3.32Min: 3.34 / Avg: 3.39 / Max: 3.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Run 1GM-10000.53551.0711.60652.1422.6775SE +/- 0.00, N = 3SE +/- 0.01, N = 32.282.38MIN: 2.25 / MAX: 2.45MIN: 2.24 / MAX: 4.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Run 1GM-1000246810Min: 2.28 / Avg: 2.28 / Max: 2.29Min: 2.35 / Avg: 2.38 / Max: 2.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRun 1GM-10000.69751.3952.09252.793.4875SE +/- 0.00, N = 3SE +/- 0.02, N = 33.043.10MIN: 2.99 / MAX: 3.66MIN: 3 / MAX: 4.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetRun 1GM-1000246810Min: 3.04 / Avg: 3.04 / Max: 3.04Min: 3.06 / Avg: 3.1 / Max: 3.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Run 1GM-10001.17682.35363.53044.70725.884SE +/- 0.00, N = 3SE +/- 0.02, N = 35.115.23MIN: 5.04 / MAX: 5.49MIN: 5.06 / MAX: 5.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Run 1GM-1000246810Min: 5.11 / Avg: 5.11 / Max: 5.11Min: 5.18 / Avg: 5.23 / Max: 5.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceRun 1GM-10000.2340.4680.7020.9361.17SE +/- 0.00, N = 3SE +/- 0.01, N = 30.981.04MIN: 0.94 / MAX: 1.29MIN: 0.94 / MAX: 1.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceRun 1GM-1000246810Min: 0.98 / Avg: 0.98 / Max: 0.99Min: 1.01 / Avg: 1.04 / Max: 1.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRun 1GM-1000246810SE +/- 0.01, N = 3SE +/- 0.03, N = 37.667.84MIN: 7.62 / MAX: 7.84MIN: 7.62 / MAX: 10.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetRun 1GM-10003691215Min: 7.65 / Avg: 7.66 / Max: 7.67Min: 7.79 / Avg: 7.84 / Max: 7.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Run 1GM-1000816243240SE +/- 0.09, N = 3SE +/- 0.03, N = 332.4733.33MIN: 32.03 / MAX: 68.03MIN: 32.53 / MAX: 40.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Run 1GM-1000714212835Min: 32.36 / Avg: 32.47 / Max: 32.64Min: 33.28 / Avg: 33.33 / Max: 33.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Run 1GM-10001.3052.613.9155.226.525SE +/- 0.00, N = 3SE +/- 0.01, N = 35.675.80MIN: 5.62 / MAX: 5.74MIN: 5.62 / MAX: 13.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Run 1GM-1000246810Min: 5.67 / Avg: 5.67 / Max: 5.67Min: 5.79 / Avg: 5.8 / Max: 5.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRun 1GM-1000246810SE +/- 0.01, N = 3SE +/- 0.08, N = 37.958.17MIN: 7.8 / MAX: 8.35MIN: 7.83 / MAX: 8.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetRun 1GM-10003691215Min: 7.93 / Avg: 7.95 / Max: 7.96Min: 8.08 / Avg: 8.17 / Max: 8.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Run 1GM-10003691215SE +/- 0.00, N = 3SE +/- 0.04, N = 312.9213.22MIN: 12.85 / MAX: 15.1MIN: 12.84 / MAX: 29.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Run 1GM-100048121620Min: 12.92 / Avg: 12.92 / Max: 12.93Min: 13.15 / Avg: 13.22 / Max: 13.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyRun 1GM-100048121620SE +/- 0.01, N = 3SE +/- 0.01, N = 315.6416.28MIN: 15.48 / MAX: 16.1MIN: 15.64 / MAX: 17.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyRun 1GM-100048121620Min: 15.63 / Avg: 15.64 / Max: 15.66Min: 16.26 / Avg: 16.28 / Max: 16.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRun 1GM-10001122334455SE +/- 0.45, N = 10SE +/- 0.44, N = 1249.4749.50
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyRun 1GM-10001020304050Min: 45.87 / Avg: 49.47 / Max: 50.96Min: 44.92 / Avg: 49.5 / Max: 50.61

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianRun 1GM-1000612182430SE +/- 0.25, N = 9SE +/- 0.28, N = 1425.4826.12
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianRun 1GM-1000612182430Min: 23.49 / Avg: 25.47 / Max: 25.97Min: 22.58 / Avg: 26.11 / Max: 26.66

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineRun 1GM-100070140210280350SE +/- 1.25, N = 3SE +/- 4.34, N = 3291.99300.54
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineRun 1GM-100050100150200250Min: 290.48 / Avg: 291.99 / Max: 294.48Min: 293.05 / Avg: 300.54 / Max: 308.1

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRun 1GM-100020406080100SE +/- 0.77, N = 3SE +/- 1.25, N = 396.5397.14
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointRun 1GM-100020406080100Min: 95.03 / Avg: 96.53 / Max: 97.62Min: 94.65 / Avg: 97.13 / Max: 98.61

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 BenchmarkRun 1GM-100070140210280350SE +/- 0.38, N = 3SE +/- 0.61, N = 3319.04322.07
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkRun 1GM-100060120180240300Min: 318.29 / Avg: 319.04 / Max: 319.54Min: 321.05 / Avg: 322.07 / Max: 323.15

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentRun 1GM-1000918273645SE +/- 0.57, N = 3SE +/- 0.48, N = 638.7939.61
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentRun 1GM-1000816243240Min: 37.65 / Avg: 38.79 / Max: 39.41Min: 37.2 / Avg: 39.61 / Max: 40.36

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215SE +/- 0.24013, N = 12SE +/- 0.22450, N = 15SE +/- 0.27922, N = 128.434949.5332411.34987MIN: 5.38MIN: 6.67MIN: 7.031. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215Min: 5.82 / Avg: 8.43 / Max: 8.91Min: 6.94 / Avg: 9.53 / Max: 10.46Min: 8.35 / Avg: 11.35 / Max: 11.891. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPURun 1GM-1000Extra306090120150SE +/- 0.40, N = 3SE +/- 0.53, N = 3SE +/- 0.47, N = 3110.96114.29124.81MIN: 97.33MIN: 99.97MIN: 109.721. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPURun 1GM-1000Extra20406080100Min: 110.17 / Avg: 110.96 / Max: 111.43Min: 113.26 / Avg: 114.29 / Max: 115Min: 123.93 / Avg: 124.81 / Max: 125.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra1.16852.3373.50554.6745.8425SE +/- 0.11241, N = 12SE +/- 0.10124, N = 15SE +/- 0.10663, N = 124.681954.840055.19328MIN: 3.25MIN: 3.33MIN: 3.681. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra246810Min: 3.45 / Avg: 4.68 / Max: 4.8Min: 3.42 / Avg: 4.84 / Max: 4.98Min: 4.02 / Avg: 5.19 / Max: 5.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra1632486480SE +/- 0.16, N = 3SE +/- 0.33, N = 3SE +/- 0.54, N = 366.8867.7771.03MIN: 58.83MIN: 59.54MIN: 61.71. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra1428425670Min: 66.71 / Avg: 66.88 / Max: 67.19Min: 67.23 / Avg: 67.77 / Max: 68.36Min: 70.38 / Avg: 71.03 / Max: 72.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURun 1GM-1000Extra48121620SE +/- 0.05, N = 3SE +/- 0.05, N = 7SE +/- 0.11, N = 316.5516.6217.23MIN: 16.37MIN: 16.36MIN: 16.521. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURun 1GM-1000Extra48121620Min: 16.45 / Avg: 16.55 / Max: 16.61Min: 16.47 / Avg: 16.62 / Max: 16.78Min: 17.01 / Avg: 17.23 / Max: 17.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215SE +/- 0.12, N = 6SE +/- 0.15, N = 13SE +/- 0.14, N = 310.1510.8112.87MIN: 8.6MIN: 6.79MIN: 10.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPURun 1GM-1000Extra48121620Min: 9.58 / Avg: 10.15 / Max: 10.3Min: 9.07 / Avg: 10.81 / Max: 11.29Min: 12.58 / Avg: 12.87 / Max: 13.031. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215SE +/- 0.02350, N = 3SE +/- 0.08092, N = 15SE +/- 0.15846, N = 38.273768.8837111.71060MIN: 8.02MIN: 8.11MIN: 10.781. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPURun 1GM-1000Extra3691215Min: 8.23 / Avg: 8.27 / Max: 8.31Min: 8.34 / Avg: 8.88 / Max: 9.44Min: 11.4 / Avg: 11.71 / Max: 11.911. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra48121620SE +/- 0.03, N = 3SE +/- 0.02, N = 6SE +/- 0.08, N = 316.2416.1216.66MIN: 15.99MIN: 15.9MIN: 15.931. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra48121620Min: 16.2 / Avg: 16.24 / Max: 16.31Min: 16.07 / Avg: 16.12 / Max: 16.18Min: 16.52 / Avg: 16.66 / Max: 16.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra3691215SE +/- 0.20, N = 3SE +/- 0.14, N = 12SE +/- 0.14, N = 312.6912.8213.08MIN: 10.89MIN: 8.95MIN: 10.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPURun 1GM-1000Extra48121620Min: 12.31 / Avg: 12.69 / Max: 12.95Min: 11.33 / Avg: 12.82 / Max: 13Min: 12.79 / Avg: 13.08 / Max: 13.261. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPURun 1GM-1000246810SE +/- 0.01576, N = 3SE +/- 0.01402, N = 96.499666.69517MIN: 6.37MIN: 6.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPURun 1GM-10003691215Min: 6.47 / Avg: 6.5 / Max: 6.52Min: 6.64 / Avg: 6.7 / Max: 6.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURun 1GM-1000140280420560700SE +/- 1.10, N = 3SE +/- 8.43, N = 3558.66670.34MIN: 512.24MIN: 612.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURun 1GM-1000120240360480600Min: 556.94 / Avg: 558.66 / Max: 560.72Min: 653.52 / Avg: 670.34 / Max: 679.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPURun 1GM-100050100150200250SE +/- 2.57, N = 5SE +/- 0.93, N = 3194.55231.39MIN: 182.75MIN: 223.491. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPURun 1GM-10004080120160200Min: 186.96 / Avg: 194.55 / Max: 202.83Min: 229.67 / Avg: 231.39 / Max: 232.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURun 1GM-10000.98661.97322.95983.94644.933SE +/- 0.03755, N = 12SE +/- 0.04995, N = 44.354964.38502MIN: 3.91MIN: 4.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURun 1GM-1000246810Min: 3.94 / Avg: 4.35 / Max: 4.41Min: 4.24 / Avg: 4.39 / Max: 4.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURun 1GM-10001.33032.66063.99095.32126.6515SE +/- 0.03696, N = 3SE +/- 0.05068, N = 155.873505.91239MIN: 4.8MIN: 4.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPURun 1GM-1000246810Min: 5.84 / Avg: 5.87 / Max: 5.95Min: 5.21 / Avg: 5.91 / Max: 5.991. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceRun 1GM-100030060090012001500SE +/- 26.50, N = 15SE +/- 29.90, N = 151519.41492.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceRun 1GM-100030060090012001500Min: 1457.3 / Avg: 1519.43 / Max: 1888Min: 1440.2 / Avg: 1492.68 / Max: 1909.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRun 1GM-100020406080100SE +/- 0.05, N = 3SE +/- 0.39, N = 382.0880.39MIN: 1 / MAX: 353MIN: 1 / MAX: 345
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkRun 1GM-10001632486480Min: 82 / Avg: 82.08 / Max: 82.17Min: 79.75 / Avg: 80.39 / Max: 81.08

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: acRun 12468106.01

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airRun 10.54451.0891.63352.1782.72252.42

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mdbxRun 11.19932.39863.59794.79725.99655.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: doducRun 12468108.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkRun 10.68631.37262.05892.74523.43153.05

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2Run 151015202522.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: aermodRun 12468106.63

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowRun 14812162017.84

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: induct2Run 151015202520.05

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinRun 14812162016.94

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: capacitaRun 1369121512.47

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: channel2Run 1132639526555.78

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue2Run 1122436486054.48

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: gas_dyn2Run 1132639526558.95

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: test_fpu2Run 191827364539.13

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mp_prop_designRun 1153045607567.82

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyRun 1GM-10005K10K15K20K25KSE +/- 169.75, N = 3SE +/- 159.81, N = 324971248621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyRun 1GM-10004K8K12K16K20KMin: 24733.65 / Avg: 24970.94 / Max: 25299.85Min: 24664.47 / Avg: 24861.59 / Max: 25178.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyRun 1GM-10000.0090.0180.0270.0360.045SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0400.0401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyRun 1GM-100012345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteRun 1GM-1000110220330440550SE +/- 35.12, N = 12SE +/- 4.74, N = 34945031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteRun 1GM-100090180270360450Min: 381.52 / Avg: 494.19 / Max: 725.76Min: 495.71 / Avg: 503.09 / Max: 511.931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyRun 1GM-10000.47750.9551.43251.912.3875SE +/- 0.128, N = 12SE +/- 0.018, N = 32.1221.9881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyRun 1GM-1000246810Min: 1.38 / Avg: 2.12 / Max: 2.62Min: 1.95 / Avg: 1.99 / Max: 2.021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyRun 1GM-100030K60K90K120K150KSE +/- 1095.46, N = 15SE +/- 1251.67, N = 151309751283731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyRun 1GM-100020K40K60K80K100KMin: 127987.22 / Avg: 130974.62 / Max: 144962.18Min: 125521.71 / Avg: 128373.27 / Max: 144975.271. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyRun 1GM-10000.08780.17560.26340.35120.439SE +/- 0.003, N = 15SE +/- 0.003, N = 150.3820.3901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyRun 1GM-100012345Min: 0.35 / Avg: 0.38 / Max: 0.39Min: 0.35 / Avg: 0.39 / Max: 0.41. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteRun 1GM-1000160320480640800SE +/- 25.15, N = 15SE +/- 3.31, N = 37147261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteRun 1GM-1000130260390520650Min: 529.79 / Avg: 713.79 / Max: 814.18Min: 721.69 / Avg: 725.84 / Max: 732.381. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyRun 1GM-10001632486480SE +/- 2.85, N = 15SE +/- 0.31, N = 371.4668.901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyRun 1GM-10001428425670Min: 61.42 / Avg: 71.46 / Max: 94.39Min: 68.28 / Avg: 68.9 / Max: 69.291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostMark

This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceRun 1GM-1000Extra14002800420056007000SE +/- 56.00, N = 36578657864661. (CC) gcc options: -O3
OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceRun 1GM-1000Extra11002200330044005500Min: 6410 / Avg: 6466 / Max: 65781. (CC) gcc options: -O3

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goRun 1GM-100060120180240300SE +/- 1.67, N = 3267270
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goRun 1GM-100050100150200250Min: 267 / Avg: 270.33 / Max: 272

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Run 1GM-100080160240320400353352

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosRun 1GM-1000306090120150SE +/- 1.00, N = 3116117
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosRun 1GM-100020406080100Min: 115 / Avg: 117 / Max: 118

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatRun 1GM-1000306090120150121122

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyRun 1GM-1000306090120150SE +/- 0.33, N = 3138138
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyRun 1GM-1000306090120150Min: 138 / Avg: 138.33 / Max: 139

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibRun 1GM-1000510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 319.419.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibRun 1GM-1000510152025Min: 19.4 / Avg: 19.4 / Max: 19.4Min: 19.3 / Avg: 19.3 / Max: 19.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRun 1GM-1000110220330440550SE +/- 0.67, N = 3506505
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRun 1GM-100090180270360450Min: 504 / Avg: 505.33 / Max: 506

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsRun 1GM-1000714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 328.628.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsRun 1GM-1000612182430Min: 28.5 / Avg: 28.57 / Max: 28.6Min: 28.4 / Avg: 28.43 / Max: 28.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesRun 1GM-1000306090120150SE +/- 0.33, N = 3116116
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesRun 1GM-100020406080100Min: 115 / Avg: 115.67 / Max: 116

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRun 1GM-10004080120160200SE +/- 0.33, N = 3SE +/- 0.58, N = 3189186
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRun 1GM-1000306090120150Min: 188 / Avg: 188.67 / Max: 189Min: 185 / Avg: 186 / Max: 187

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupRun 1GM-10003691215SE +/- 0.00, N = 3SE +/- 0.06, N = 38.999.01
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupRun 1GM-10003691215Min: 8.99 / Avg: 8.99 / Max: 9Min: 8.91 / Avg: 9.01 / Max: 9.13

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateRun 1GM-10001224364860SE +/- 0.06, N = 3SE +/- 0.15, N = 352.052.3
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateRun 1GM-10001020304050Min: 51.9 / Avg: 52 / Max: 52.1Min: 52.1 / Avg: 52.3 / Max: 52.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonRun 1GM-1000100200300400500SE +/- 0.58, N = 3SE +/- 2.73, N = 3457462
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonRun 1GM-100080160240320400Min: 456 / Avg: 457 / Max: 458Min: 457 / Avg: 462.33 / Max: 466

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRun 1GM-100020406080100SE +/- 0.85, N = 3SE +/- 1.25, N = 392.6195.481. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRun 1GM-100020406080100Min: 90.9 / Avg: 92.61 / Max: 93.54Min: 92.99 / Avg: 95.48 / Max: 96.861. RawTherapee, version 5.8, command line.

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneRun 1GM-1000510152025SE +/- 0.01, N = 3SE +/- 0.19, N = 319.8119.74
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneRun 1GM-1000510152025Min: 19.79 / Avg: 19.81 / Max: 19.83Min: 19.54 / Avg: 19.74 / Max: 20.12

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRun 1GM-1000Extra918273645SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 337.9337.8839.39
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoRun 1GM-1000Extra816243240Min: 37.75 / Avg: 37.93 / Max: 38.25Min: 37.84 / Avg: 37.88 / Max: 37.92Min: 39.35 / Avg: 39.39 / Max: 39.43

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRun 1GM-1000Extra60120180240300SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3276.84276.62287.26
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesRun 1GM-1000Extra50100150200250Min: 276.46 / Avg: 276.84 / Max: 277.19Min: 276.49 / Avg: 276.62 / Max: 276.75Min: 287.17 / Avg: 287.26 / Max: 287.35

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 2020-06-28Run 1GM-1000714212835SE +/- 0.05, N = 3SE +/- 0.17, N = 328.9629.101. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Run 1GM-1000612182430Min: 28.87 / Avg: 28.96 / Max: 29.04Min: 28.92 / Avg: 29.1 / Max: 29.441. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 0 - Input: 1080pRun 1GM-10000.01690.03380.05070.06760.0845SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0750.0741. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pRun 1GM-100012345Min: 0.07 / Avg: 0.07 / Max: 0.08Min: 0.07 / Avg: 0.07 / Max: 0.081. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pRun 1GM-10000.32740.65480.98221.30961.637SE +/- 0.015, N = 3SE +/- 0.025, N = 31.4551.4461. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pRun 1GM-1000246810Min: 1.44 / Avg: 1.45 / Max: 1.49Min: 1.42 / Avg: 1.45 / Max: 1.51. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 1080pRun 1GM-100020406080100SE +/- 1.32, N = 15SE +/- 1.68, N = 15108.18107.791. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pRun 1GM-100020406080100Min: 105.65 / Avg: 108.18 / Max: 122.55Min: 104.13 / Avg: 107.79 / Max: 124.021. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pRun 1GM-100020406080100SE +/- 1.33, N = 15SE +/- 1.58, N = 1580.3680.061. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pRun 1GM-10001530456075Min: 78.63 / Avg: 80.36 / Max: 98.91Min: 77.55 / Avg: 80.06 / Max: 98.981. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

System Temperature Monitor

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringGM-10001530456075Min: 54 / Avg: 71.36 / Max: 76

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: SqueezeNetRun 1GM-100090K180K270K360K450KSE +/- 4043.35, N = 3SE +/- 5447.42, N = 4392540406369
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 1GM-100070K140K210K280K350KMin: 384454 / Avg: 392540.33 / Max: 396651Min: 390032 / Avg: 406369.25 / Max: 412184

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1GM-10001.3M2.6M3.9M5.2M6.5MSE +/- 22366.69, N = 3SE +/- 34182.46, N = 357941636011180
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1GM-10001000K2000K3000K4000K5000KMin: 5749430 / Avg: 5794163.33 / Max: 5816590Min: 5942980 / Avg: 6011180 / Max: 6049390

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1GM-100070K140K210K280K350KSE +/- 3175.48, N = 3SE +/- 4505.57, N = 4304916321246
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1GM-100060K120K180K240K300KMin: 298572 / Avg: 304915.67 / Max: 308351Min: 307741 / Avg: 321246 / Max: 326227

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1GM-100060K120K180K240K300KSE +/- 2726.50, N = 3SE +/- 4495.68, N = 3267264278393
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1GM-100050K100K150K200K250KMin: 261811 / Avg: 267264 / Max: 269993Min: 269404 / Avg: 278393 / Max: 283066

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1GM-100060K120K180K240K300KSE +/- 2723.19, N = 3SE +/- 4770.18, N = 3267277279524
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1GM-100050K100K150K200K250KMin: 261831 / Avg: 267277.33 / Max: 270018Min: 269984 / Avg: 279524.33 / Max: 284312

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1GM-10001.2M2.4M3.6M4.8M6MSE +/- 19776.99, N = 3SE +/- 40177.63, N = 352366935441300
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1GM-1000900K1800K2700K3600K4500KMin: 5197150 / Avg: 5236693.33 / Max: 5257260Min: 5360970 / Avg: 5441300 / Max: 5483210

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesRun 1GM-1000612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 326.9627.11
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesRun 1GM-1000612182430Min: 26.95 / Avg: 26.96 / Max: 26.99Min: 27.06 / Avg: 27.11 / Max: 27.13

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRun 1GM-1000714212835SE +/- 0.37, N = 6SE +/- 0.35, N = 731.6532.12
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRun 1GM-1000714212835Min: 29.79 / Avg: 31.65 / Max: 32.1Min: 30 / Avg: 32.12 / Max: 32.56

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 CompileRun 1GM-1000306090120150SE +/- 0.36, N = 3SE +/- 0.70, N = 3153.82155.40
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileRun 1GM-1000306090120150Min: 153.13 / Avg: 153.82 / Max: 154.32Min: 154.06 / Avg: 155.39 / Max: 156.42

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 SearchRun 1GM-1000Extra306090120150SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3131.27131.25131.991. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchRun 1GM-1000Extra20406080100Min: 131.18 / Avg: 131.27 / Max: 131.38Min: 131.21 / Avg: 131.25 / Max: 131.29Min: 131.76 / Avg: 131.99 / Max: 132.221. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 CompileRun 1GM-100050100150200250SE +/- 0.16, N = 3SE +/- 0.47, N = 3208.89212.65
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRun 1GM-10004080120160200Min: 208.65 / Avg: 208.89 / Max: 209.18Min: 211.76 / Avg: 212.65 / Max: 213.35

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileRun 1GM-100030060090012001500SE +/- 3.20, N = 3SE +/- 1.30, N = 31584.231604.06
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileRun 1GM-100030060090012001500Min: 1579.87 / Avg: 1584.23 / Max: 1590.47Min: 1602.47 / Avg: 1604.06 / Max: 1606.63

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARun 1GM-1000Extra3691215SE +/- 0.10, N = 11SE +/- 0.10, N = 11SE +/- 0.19, N = 311.4811.2711.101. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARun 1GM-1000Extra3691215Min: 10.83 / Avg: 11.48 / Max: 11.98Min: 10.64 / Avg: 11.27 / Max: 11.85Min: 10.8 / Avg: 11.1 / Max: 11.441. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileRun 1GM-1000306090120150SE +/- 0.10, N = 3SE +/- 0.58, N = 3114.07114.80
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileRun 1GM-100020406080100Min: 113.87 / Avg: 114.07 / Max: 114.22Min: 113.64 / Avg: 114.8 / Max: 115.38

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 v2Run 1GM-100080160240320400SE +/- 0.13, N = 3SE +/- 0.15, N = 3359.29369.91MIN: 358.26 / MAX: 362.09MIN: 368.82 / MAX: 373.151. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Run 1GM-100070140210280350Min: 359.12 / Avg: 359.29 / Max: 359.54Min: 369.74 / Avg: 369.91 / Max: 370.221. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Run 1GM-100080160240320400SE +/- 0.10, N = 3SE +/- 0.13, N = 3361.90362.13MIN: 361.63 / MAX: 362.29MIN: 361.7 / MAX: 362.71. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Run 1GM-100060120180240300Min: 361.78 / Avg: 361.9 / Max: 362.1Min: 361.9 / Avg: 362.13 / Max: 362.351. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Run 1GM-10001.14532.29063.43594.58125.7265SE +/- 0.04, N = 3SE +/- 0.03, N = 35.065.091. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Run 1GM-1000246810Min: 5.02 / Avg: 5.06 / Max: 5.13Min: 5.05 / Avg: 5.09 / Max: 5.151. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Run 1GM-1000510152025SE +/- 0.30, N = 3SE +/- 0.20, N = 819.8719.651. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Run 1GM-1000510152025Min: 19.48 / Avg: 19.87 / Max: 20.47Min: 19.38 / Avg: 19.65 / Max: 21.021. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoRun 1GM-1000Extra0.74141.48282.22422.96563.707SE +/- 0.036, N = 7SE +/- 0.007, N = 9SE +/- 0.004, N = 33.2213.2143.295
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoRun 1GM-1000Extra246810Min: 3.18 / Avg: 3.22 / Max: 3.44Min: 3.19 / Avg: 3.21 / Max: 3.25Min: 3.29 / Avg: 3.29 / Max: 3.3

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRun 1GM-1000Extra48121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.8416.8717.36
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesRun 1GM-1000Extra48121620Min: 16.83 / Avg: 16.84 / Max: 16.85Min: 16.85 / Avg: 16.87 / Max: 16.89Min: 17.35 / Avg: 17.36 / Max: 17.38

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: DefaultRun 1GM-1000Extra0.39580.79161.18741.58321.979SE +/- 0.002, N = 3SE +/- 0.003, N = 11SE +/- 0.001, N = 31.7571.7591.7541. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultRun 1GM-1000Extra246810Min: 1.76 / Avg: 1.76 / Max: 1.76Min: 1.75 / Avg: 1.76 / Max: 1.78Min: 1.75 / Avg: 1.75 / Max: 1.761. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Run 1GM-1000Extra0.62871.25741.88612.51483.1435SE +/- 0.005, N = 3SE +/- 0.001, N = 9SE +/- 0.001, N = 32.7942.7802.7811. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Run 1GM-1000Extra246810Min: 2.78 / Avg: 2.79 / Max: 2.8Min: 2.78 / Avg: 2.78 / Max: 2.78Min: 2.78 / Avg: 2.78 / Max: 2.781. (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, LosslessRun 1GM-1000Extra510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 321.1221.2020.991. (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, LosslessRun 1GM-1000Extra510152025Min: 21.11 / Avg: 21.12 / Max: 21.14Min: 21.18 / Avg: 21.2 / Max: 21.21Min: 20.84 / Avg: 20.99 / Max: 21.061. (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 CompressionRun 1GM-1000Extra246810SE +/- 0.035, N = 3SE +/- 0.007, N = 5SE +/- 0.005, N = 38.5938.5728.5541. (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 CompressionRun 1GM-1000Extra3691215Min: 8.55 / Avg: 8.59 / Max: 8.66Min: 8.55 / Avg: 8.57 / Max: 8.58Min: 8.55 / Avg: 8.55 / Max: 8.561. (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 CompressionRun 1GM-1000Extra1122334455SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 346.9846.9847.191. (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 CompressionRun 1GM-1000Extra1020304050Min: 46.71 / Avg: 46.98 / Max: 47.23Min: 46.81 / Avg: 46.98 / Max: 47.09Min: 47.14 / Avg: 47.19 / Max: 47.231. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestRun 1GM-1000Extra60120180240300SE +/- 1.04, N = 3SE +/- 2.25, N = 3SE +/- 3.71, N = 3272.80269.93273.99
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestRun 1GM-1000Extra50100150200250Min: 271.32 / Avg: 272.8 / Max: 274.8Min: 266.32 / Avg: 269.93 / Max: 274.07Min: 269.1 / Avg: 273.99 / Max: 281.27

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 4KRun 1GM-1000246810SE +/- 0.02, N = 3SE +/- 0.05, N = 36.626.531. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KRun 1GM-10003691215Min: 6.58 / Avg: 6.62 / Max: 6.66Min: 6.47 / Avg: 6.53 / Max: 6.641. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pRun 1GM-1000714212835SE +/- 0.33, N = 8SE +/- 0.37, N = 1331.6631.421. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pRun 1GM-1000714212835Min: 31.27 / Avg: 31.66 / Max: 33.97Min: 30.88 / Avg: 31.42 / Max: 35.81. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRun 1GM-100080160240320400SE +/- 1.61, N = 3SE +/- 2.21, N = 3368.31374.751. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneRun 1GM-100070140210280350Min: 365.54 / Avg: 368.31 / Max: 371.11Min: 370.45 / Avg: 374.75 / Max: 377.781. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Run 1GM-1000Extra8001600240032004000SE +/- 35.72, N = 3SE +/- 4.91, N = 3SE +/- 7.24, N = 33525.63601.73552.81. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Run 1GM-1000Extra6001200180024003000Min: 3458.6 / Avg: 3525.57 / Max: 3580.6Min: 3596 / Avg: 3601.73 / Max: 3611.5Min: 3538.6 / Avg: 3552.83 / Max: 3562.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Run 1GM-1000Extra612182430SE +/- 0.27, N = 3SE +/- 0.25, N = 3SE +/- 0.27, N = 423.323.322.21. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Run 1GM-1000Extra510152025Min: 23 / Avg: 23.27 / Max: 23.8Min: 23 / Avg: 23.3 / Max: 23.8Min: 21.7 / Avg: 22.15 / Max: 22.91. (CC) gcc options: -O3 -pthread -lz -llzma

218 Results Shown

7-Zip Compression
AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
Apache Cassandra
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
BRL-CAD
BYTE Unix Benchmark
C-Blosc
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
CPU Temperature Monitor
DaCapo Benchmark:
  H2
  Jython
  Tradesoap
  Tradebeans
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
Dolfyn
eSpeak-NG Speech Engine
Facebook RocksDB:
  Rand Fill
  Rand Read
  Seq Fill
  Rand Fill Sync
  Read While Writing
FFTE
Git
GLmark2
GNU Octave Benchmark
GROMACS
Hierarchical INTegration
High Performance Conjugate Gradient
Hugin
Incompact3D
Intel Open Image Denoise
IOR:
  Write Test
  Read Test
Java Gradle Build
John The Ripper:
  Blowfish
  MD5
KeyDB
Kripke
Kvazaar:
  Bosphorus 4K - Medium
  Bosphorus 1080p - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Ultra Fast
LAMMPS Molecular Dynamics Simulator
LeelaChessZero:
  BLAS
  Eigen
LevelDB:
  Hot Read
  Fill Sync
  Fill Sync
  Overwrite
  Overwrite
  Rand Fill
  Rand Fill
  Rand Read
  Seek Rand
  Rand Delete
  Seq Fill
  Seq Fill
libavif avifenc:
  0
  2
  8
  10
LibRaw
librsvg
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
Monte Carlo Simulations of Ionised Nebulae
NAMD
NCNN:
  CPU - squeezenet
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  Vulkan GPU - squeezenet
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
Numenta Anomaly Benchmark:
  Relative Entropy
  Windowed Gaussian
  Earthgecko Skyline
  Bayesian Changepoint
Numpy Benchmark
OCRMyPDF
oneDNN:
  IP Batch 1D - f32 - CPU
  IP Batch All - f32 - CPU
  IP Batch 1D - u8s8f32 - CPU
  IP Batch All - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch deconv_1d - u8s8f32 - CPU
  Deconvolution Batch deconv_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
OpenSSL
OpenVKL
Polyhedron Fortran Benchmarks:
  ac
  air
  mdbx
  doduc
  linpk
  tfft2
  aermod
  rnflow
  induct2
  protein
  capacita
  channel2
  fatigue2
  gas_dyn2
  test_fpu2
  mp_prop_design
PostgreSQL pgbench:
  1 - 1 - Read Only
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Write
  1 - 1 - Read Write - Average Latency
  1 - 50 - Read Only
  1 - 50 - Read Only - Average Latency
  1 - 50 - Read Write
  1 - 50 - Read Write - Average Latency
PostMark
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
RawTherapee
rays1bench
RealSR-NCNN:
  4x - No
  4x - Yes
RNNoise
SVT-AV1:
  Enc Mode 0 - 1080p
  Enc Mode 4 - 1080p
SVT-VP9:
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
System Temperature Monitor
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
Tesseract OCR
Timed Apache Compilation
Timed GDB GNU Debugger Compilation
Timed HMMer Search
Timed Linux Kernel Compilation
Timed LLVM Compilation
Timed MAFFT Alignment
Timed PHP Compilation
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
VP9 libvpx Encoding:
  Speed 0
  Speed 5
Waifu2x-NCNN Vulkan:
  2x - 3 - No
  2x - 3 - Yes
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
WireGuard + Linux Networking Stack Stress Test
x265:
  Bosphorus 4K
  Bosphorus 1080p
YafaRay
Zstd Compression:
  3
  19