Xeon E5 1680 v3 Xmas

Intel Xeon E5-1680 v3 testing with a ASUS X99-A (3902 BIOS) and eVGA NVIDIA NVE7 1GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012271-HA-XEONE516824
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Audio Encoding 4 Tests
Bioinformatics 2 Tests
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Creator Workloads 17 Tests
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December 26 2020
  9 Hours, 34 Minutes
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Xeon E5 1680 v3 XmasProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads)ASUS X99-A (3902 BIOS)Intel Xeon E7 v3/Xeon16GBPNY CS900 240GBeVGA NVIDIA NVE7 1GBRealtek ALC1150G237HLIntel I218-VUbuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.3 Mesa 20.0.8GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Disk Details- MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x43Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%103%105%108%RediseSpeak-NG Speech EngineMlpack BenchmarkBuild2CLOMPNode.js V8 Web Tooling BenchmarkCompile Benchyquake2FFTENumpy BenchmarkSockperfStockfishKvazaarUnpacking FirefoxCraftyLeelaChessZeroKeyDBCoremarkGraphicsMagickApache CouchDBNCNNLAMMPS Molecular Dynamics SimulatorTimed MAFFT AlignmentasmFishDolfynSQLite SpeedtestBYTE Unix BenchmarkRNNoiseTimed Eigen CompilationOpus Codec EncodingTimed HMMer Searchx265AI Benchmark AlphaoneDNNPHPBenchASTC EncoderIndigoBenchHierarchical INTegrationOpenVINOGROMACSrav1eMonkey Audio EncodingWavPack Audio EncodingBRL-CADEmbreeOgg Audio EncodingLZ4 CompressionBasis UniversalTimed FFmpeg CompilationCaffe

Xeon E5 1680 v3 Xmasai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoremlpack: scikit_qdalczero: BLASlczero: Eigenastcenc: Exhaustivecaffe: GoogleNet - CPU - 200brl-cad: VGR Performance Metricnumpy: gromacs: Water Benchmarkbuild2: Time To Compileasmfish: 1024 Hash Memory, 26 Depthcompilebench: Compilemlpack: scikit_icaespeak: Text-To-Speech Synthesiskvazaar: Bosphorus 4K - Mediumhmmer: Pfam Database Searchcaffe: GoogleNet - CPU - 100couchdb: 100 - 1000 - 24byte: Dhrystone 2caffe: AlexNet - CPU - 200hint: FLOATx265: Bosphorus 4Kbuild-eigen: Time To Compilebasis: UASTC Level 3onednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUnode-web-tooling: embree: Pathtracer - Asian Dragon Objbuild-ffmpeg: Time To Compilestockfish: Total Timesqlite-speedtest: Timed Time - Size 1,000onednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUmlpack: scikit_linearridgeregressionrav1e: 1rav1e: 5embree: Pathtracer ISPC - Asian Dragon Objcompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedembree: Pathtracer - Crowncompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedkeydb: openvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetbasis: ETC1Ssockperf: Latency Under Loadembree: Pathtracer ISPC - Crownindigobench: CPU - Bedroomindigobench: CPU - Supercarembree: Pathtracer - Asian Dragonopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUgraphics-magick: Noise-Gaussianopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUgraphics-magick: Sharpengraphics-magick: Swirlgraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: HWB Color Spacegraphics-magick: Rotatecaffe: AlexNet - CPU - 100kvazaar: Bosphorus 4K - Very Fastrav1e: 6redis: SETembree: Pathtracer ISPC - Asian Dragonsockperf: Throughputredis: LPOPbasis: UASTC Level 2astcenc: Thoroughclomp: Static OMP Speedupredis: SADDredis: LPUSHkvazaar: Bosphorus 1080p - Mediumrav1e: 10unpack-firefox: firefox-84.0.source.tar.xzcompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedsockperf: Latency Ping Pongkvazaar: Bosphorus 4K - Ultra Fastphpbench: PHP Benchmark Suitecrafty: Elapsed Timecoremark: CoreMark Size 666 - Iterations Per Secondmlpack: scikit_svmencode-wavpack: WAV To WavPackonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUrnnoise: redis: GETencode-ogg: WAV To Oggencode-ape: WAV To APEdolfyn: Computational Fluid Dynamicsonednn: Deconvolution Batch shapes_1d - f32 - CPUx265: Bosphorus 1080pkvazaar: Bosphorus 1080p - Very Fastencode-opus: WAV To Opus Encodeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUyquake2: Software CPU - 1920 x 1080mafft: Multiple Sequence Alignment - LSU RNAastcenc: Mediumbasis: UASTC Level 0onednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUkvazaar: Bosphorus 1080p - Ultra Fastastcenc: Fastonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUlammps: Rhodopsin Proteinonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUffte: N=256, 3D Complex FFT Routinecompilebench: Read Compiled Treecompilebench: Initial Create12320791060101961.4611051046334.1030196088817285.150.754173.72021707918760.8467.1735.7213.62162.575150994134.60237390438.7118086348188152.871628.8597.31688.8744531.114533.014529.129.779.400281.8431412440479.0222472.672474.882480.103.180.2720.81510.81207283.642.068.68047267.342.97470540.933070.211.33074.791.32114.401.882113.871.8820.6824.8129.9127.3711.1614.0247.9515.392.558.175.456.885.406.1920.5065.82225.4689.68071.2972.96610.01460.775069.471750.775077.11902621016485655985930710.281.0881481853.3112.03192655432000353.8647.38341.529.91639601.211289264.9215.652.41523.1607499.06098.314.49918.566264807002968270945.86309622.3015.9777.8769525.7111834428.0024.75514.15723.2076.3347935.5136.789.6784.530123.133413.013733.5099375.411.3586.5910.2382.552046.8775269.707.0010.816012.55195.0556.203199.1772730109.6107896682243.77357.5520821060102263.5611041050334.1730168688995289.200.753172.59221577603773.5867.9337.4793.61163.454150853134.08537461981.3118507349172823.112388.7597.17988.9864525.424523.924523.869.719.419181.8601414134279.6622470.372468.972469.553.190.2720.81610.79867259.442.118.61707256.942.99475933.283078.701.273069.321.32115.291.882115.311.8820.8724.7228.2027.4611.1914.0748.1415.582.558.345.636.955.426.2320.2366.20425.9619.73531.2912.96310.05400.775044.331760.775066.12902641016515756125920510.281.0931456546.4812.13732660971685556.7247.41841.5110.21625787.131306966.3315.672.42522.8377494.06163.864.48718.526262186926721273924.33570322.3315.9807.9035425.6691750688.5424.74914.17023.3976.4001436.2236.789.6434.583503.158742.988143.4968073.611.3176.5810.2022.534576.7879169.217.1110.754612.49805.0266.212959.2346330542.4636811962297.29339.3220871065102267.8210911038334.2130176088885283.880.755178.60021768662653.6871.2238.4973.55163.313151020135.29837177008.1118149348871675.898178.8797.80788.9334533.644526.334536.479.509.349981.7431390057579.3162468.252468.802466.093.190.2720.81810.78687278.741.608.66757267.943.04475766.153073.951.303073.871.32116.991.882116.841.8820.9524.7328.9227.4711.1914.0048.1815.472.618.675.606.975.456.3220.4466.22324.4759.76291.2982.94610.04770.775066.611760.775060.17902641016565786135922110.101.0861464928.2412.09842656221279010.1747.50641.5010.21635637.531243644.1615.432.41923.2177503.56152.724.51018.296241677021270273946.97090422.3316.0127.6647425.5211852979.3824.77714.13923.3236.3727035.6036.029.6164.557783.144752.974473.4603474.811.2566.5910.2042.524946.8113968.687.0410.807412.47815.0726.210709.1992130708.4487632542286.43376.15OpenBenchmarking.org

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Score321400800120016002000208720822079

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Score3212004006008001000106510601060

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference Score3212004006008001000102210221019

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231530456075SE +/- 0.21, N = 3SE +/- 1.18, N = 12SE +/- 2.69, N = 1261.4663.5667.82
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231326395265Min: 61.05 / Avg: 61.46 / Max: 61.76Min: 61.05 / Avg: 63.56 / Max: 73.03Min: 61.3 / Avg: 67.82 / Max: 82.6

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: BLAS1232004006008001000SE +/- 8.29, N = 3SE +/- 4.93, N = 3SE +/- 8.14, N = 31105110410911. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1232004006008001000Min: 1089 / Avg: 1105.33 / Max: 1116Min: 1095 / Avg: 1104 / Max: 1112Min: 1076 / Avg: 1091 / Max: 11041. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen2132004006008001000SE +/- 5.03, N = 3SE +/- 2.89, N = 3SE +/- 11.79, N = 31050104610381. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen2132004006008001000Min: 1040 / Avg: 1050 / Max: 1056Min: 1041 / Avg: 1046 / Max: 1051Min: 1023 / Avg: 1037.67 / Max: 10611. (CXX) g++ options: -flto -pthread

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: Exhaustive12370140210280350SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3334.10334.17334.211. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive12360120180240300Min: 334.05 / Avg: 334.1 / Max: 334.16Min: 334.07 / Avg: 334.17 / Max: 334.3Min: 334.12 / Avg: 334.21 / Max: 334.351. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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: GoogleNet - Acceleration: CPU - Iterations: 20023160K120K180K240K300KSE +/- 155.18, N = 3SE +/- 180.52, N = 3SE +/- 189.29, N = 33016863017603019601. (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: 20023150K100K150K200K250KMin: 301379 / Avg: 301686 / Max: 301879Min: 301399 / Avg: 301760 / Max: 301945Min: 301582 / Avg: 301960 / Max: 3021671. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 Metric23120K40K60K80K100K8899588885888171. (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 -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

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 Benchmark21360120180240300SE +/- 0.38, N = 3SE +/- 0.88, N = 3SE +/- 0.75, N = 3289.20285.15283.88
OpenBenchmarking.orgScore, More Is BetterNumpy Benchmark21350100150200250Min: 288.44 / Avg: 289.2 / Max: 289.67Min: 283.6 / Avg: 285.15 / Max: 286.63Min: 282.93 / Avg: 283.88 / Max: 285.36

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 Benchmark3120.16990.33980.50970.67960.8495SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.7550.7540.7531. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark312246810Min: 0.75 / Avg: 0.76 / Max: 0.76Min: 0.75 / Avg: 0.75 / Max: 0.76Min: 0.75 / Avg: 0.75 / Max: 0.761. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Build2

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile2134080120160200SE +/- 2.37, N = 4SE +/- 2.07, N = 5SE +/- 1.61, N = 3172.59173.72178.60
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile213306090120150Min: 169.04 / Avg: 172.59 / Max: 179.33Min: 168.63 / Avg: 173.72 / Max: 178.93Min: 175.61 / Avg: 178.6 / Max: 181.15

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth3125M10M15M20M25MSE +/- 288716.85, N = 3SE +/- 260870.39, N = 3SE +/- 222609.71, N = 3217686622170791821577603
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth3124M8M12M16M20MMin: 21421602 / Avg: 21768662.33 / Max: 22341860Min: 21197417 / Avg: 21707918 / Max: 22056451Min: 21262613 / Avg: 21577603.33 / Max: 22007589

Compile Bench

Compilebench tries to age a filesystem by simulating some of the disk IO common in creating, compiling, patching, stating and reading kernel trees. It indirectly measures how well filesystems can maintain directory locality as the disk fills up and directories age. This current test is setup to use the makej mode with 10 initial directories Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Compile213170340510680850SE +/- 5.81, N = 3SE +/- 8.09, N = 3SE +/- 52.39, N = 12773.58760.84653.68
OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Compile213140280420560700Min: 765.57 / Avg: 773.58 / Max: 784.87Min: 745.03 / Avg: 760.84 / Max: 771.75Min: 207.4 / Avg: 653.68 / Max: 902.48

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231632486480SE +/- 0.62, N = 15SE +/- 0.78, N = 6SE +/- 1.19, N = 367.1767.9371.22
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231428425670Min: 63.52 / Avg: 67.17 / Max: 72.3Min: 65.82 / Avg: 67.93 / Max: 70.93Min: 68.87 / Avg: 71.22 / Max: 72.69

eSpeak-NG Speech Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123918273645SE +/- 0.32, N = 4SE +/- 0.44, N = 20SE +/- 0.55, N = 2035.7237.4838.501. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123816243240Min: 35.19 / Avg: 35.72 / Max: 36.65Min: 35.34 / Avg: 37.48 / Max: 41.1Min: 35.32 / Avg: 38.5 / Max: 43.081. (CC) gcc options: -O2 -std=c99

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium1230.81451.6292.44353.2584.0725SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.623.613.551. (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: Medium123246810Min: 3.6 / Avg: 3.62 / Max: 3.63Min: 3.59 / Avg: 3.61 / Max: 3.62Min: 3.53 / Avg: 3.55 / Max: 3.571. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 Search1324080120160200SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.36, N = 3162.58163.31163.451. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search132306090120150Min: 162.19 / Avg: 162.57 / Max: 162.89Min: 163.09 / Avg: 163.31 / Max: 163.55Min: 162.79 / Avg: 163.45 / Max: 164.051. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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: GoogleNet - Acceleration: CPU - Iterations: 10021330K60K90K120K150KSE +/- 78.70, N = 3SE +/- 103.00, N = 3SE +/- 108.38, N = 31508531509941510201. (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: 10021330K60K90K120K150KMin: 150698 / Avg: 150853.33 / Max: 150953Min: 150788 / Avg: 150994 / Max: 151098Min: 150819 / Avg: 151019.67 / Max: 1511911. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24213306090120150SE +/- 0.62, N = 3SE +/- 0.34, N = 3SE +/- 2.21, N = 3134.09134.60135.301. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24213306090120150Min: 132.95 / Avg: 134.09 / Max: 135.1Min: 133.94 / Avg: 134.6 / Max: 135.03Min: 132.33 / Avg: 135.3 / Max: 139.621. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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 22138M16M24M32M40MSE +/- 46692.87, N = 3SE +/- 165452.15, N = 3SE +/- 122181.12, N = 337461981.337390438.737177008.1
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 22136M12M18M24M30MMin: 37388069 / Avg: 37461981.27 / Max: 37548368.2Min: 37093823.7 / Avg: 37390438.73 / Max: 37665781.2Min: 36974070.1 / Avg: 37177008.13 / Max: 37396361.8

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: 20013230K60K90K120K150KSE +/- 18.73, N = 3SE +/- 86.87, N = 3SE +/- 244.34, N = 31180861181491185071. (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: 20013220K40K60K80K100KMin: 118050 / Avg: 118086 / Max: 118113Min: 118019 / Avg: 118149.33 / Max: 118314Min: 118222 / Avg: 118506.67 / Max: 1189931. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: FLOAT23170M140M210M280M350MSE +/- 348495.09, N = 3SE +/- 110846.40, N = 3SE +/- 671953.04, N = 3349172823.11348871675.90348188152.871. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT23160M120M180M240M300MMin: 348518551.75 / Avg: 349172823.11 / Max: 349708029.01Min: 348693153.28 / Avg: 348871675.9 / Max: 349074770.54Min: 347092025.64 / Avg: 348188152.87 / Max: 349409597.141. (CC) gcc options: -O3 -march=native -lm

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K312246810SE +/- 0.08, N = 3SE +/- 0.09, N = 8SE +/- 0.12, N = 48.878.858.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K3123691215Min: 8.72 / Avg: 8.87 / Max: 8.99Min: 8.52 / Avg: 8.85 / Max: 9.25Min: 8.45 / Avg: 8.75 / Max: 9.011. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Timed Eigen Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile21320406080100SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 397.1897.3297.81
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile21320406080100Min: 97.09 / Avg: 97.18 / Max: 97.24Min: 97.28 / Avg: 97.32 / Max: 97.36Min: 97.76 / Avg: 97.81 / Max: 97.87

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 313220406080100SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 388.8788.9388.991. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 313220406080100Min: 88.86 / Avg: 88.87 / Max: 88.9Min: 88.9 / Avg: 88.93 / Max: 88.97Min: 88.89 / Avg: 88.99 / Max: 89.161. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU21310002000300040005000SE +/- 1.21, N = 3SE +/- 1.69, N = 3SE +/- 2.17, N = 34525.424531.114533.64MIN: 4516.35MIN: 4524.03MIN: 4525.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU2138001600240032004000Min: 4523.65 / Avg: 4525.42 / Max: 4527.73Min: 4527.89 / Avg: 4531.11 / Max: 4533.6Min: 4529.34 / Avg: 4533.64 / Max: 4536.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU23110002000300040005000SE +/- 1.37, N = 3SE +/- 3.38, N = 3SE +/- 2.65, N = 34523.924526.334533.01MIN: 4517.94MIN: 4516.82MIN: 4522.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU2318001600240032004000Min: 4522.47 / Avg: 4523.92 / Max: 4526.65Min: 4522.76 / Avg: 4526.33 / Max: 4533.08Min: 4528.09 / Avg: 4533.01 / Max: 4537.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU21310002000300040005000SE +/- 3.64, N = 3SE +/- 0.35, N = 3SE +/- 7.29, N = 34523.864529.124536.47MIN: 4513.41MIN: 4522.47MIN: 4520.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU2138001600240032004000Min: 4518.42 / Avg: 4523.86 / Max: 4530.78Min: 4528.53 / Avg: 4529.12 / Max: 4529.74Min: 4526.87 / Avg: 4536.47 / Max: 4550.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Node.js V8 Web Tooling Benchmark

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

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 39.779.719.501. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 9.72 / Avg: 9.77 / Max: 9.84Min: 9.66 / Avg: 9.71 / Max: 9.81Min: 9.41 / Avg: 9.5 / Max: 9.551. Nodejs v10.19.0

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj2133691215SE +/- 0.0255, N = 3SE +/- 0.0214, N = 3SE +/- 0.0092, N = 39.41919.40029.3499MIN: 9.36 / MAX: 9.54MIN: 9.33 / MAX: 9.52MIN: 9.3 / MAX: 9.45
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon Obj2133691215Min: 9.39 / Avg: 9.42 / Max: 9.47Min: 9.37 / Avg: 9.4 / Max: 9.44Min: 9.33 / Avg: 9.35 / Max: 9.36

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile31220406080100SE +/- 0.12, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 381.7481.8481.86
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile3121632486480Min: 81.5 / Avg: 81.74 / Max: 81.89Min: 81.48 / Avg: 81.84 / Max: 82.27Min: 81.69 / Avg: 81.86 / Max: 81.96

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time2133M6M9M12M15MSE +/- 71363.03, N = 3SE +/- 166711.74, N = 3SE +/- 194479.46, N = 41414134214124404139005751. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time2132M4M6M8M10MMin: 14003298 / Avg: 14141342.33 / Max: 14241763Min: 13811064 / Avg: 14124404.33 / Max: 14379775Min: 13445217 / Avg: 13900575.25 / Max: 143864721. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

SQLite Speedtest

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,00013220406080100SE +/- 0.33, N = 3SE +/- 0.06, N = 3SE +/- 0.41, N = 379.0279.3279.661. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001321530456075Min: 78.55 / Avg: 79.02 / Max: 79.66Min: 79.22 / Avg: 79.32 / Max: 79.42Min: 78.84 / Avg: 79.66 / Max: 80.141. (CC) gcc options: -O2 -ldl -lz -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU3215001000150020002500SE +/- 1.99, N = 3SE +/- 0.84, N = 3SE +/- 0.91, N = 32468.252470.372472.67MIN: 2462.29MIN: 2466.62MIN: 2467.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU321400800120016002000Min: 2464.94 / Avg: 2468.25 / Max: 2471.81Min: 2468.9 / Avg: 2470.37 / Max: 2471.81Min: 2471.4 / Avg: 2472.67 / Max: 2474.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU3215001000150020002500SE +/- 1.82, N = 3SE +/- 3.28, N = 3SE +/- 2.75, N = 32468.802468.972474.88MIN: 2463.37MIN: 2460.79MIN: 2467.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU321400800120016002000Min: 2465.8 / Avg: 2468.8 / Max: 2472.09Min: 2462.95 / Avg: 2468.97 / Max: 2474.24Min: 2469.83 / Avg: 2474.88 / Max: 2479.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU3215001000150020002500SE +/- 0.45, N = 3SE +/- 2.48, N = 3SE +/- 10.28, N = 32466.092469.552480.10MIN: 2461.63MIN: 2462.7MIN: 24651. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU321400800120016002000Min: 2465.35 / Avg: 2466.09 / Max: 2466.9Min: 2465.54 / Avg: 2469.55 / Max: 2474.07Min: 2467.03 / Avg: 2480.1 / Max: 2500.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.71781.43562.15342.87123.589SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.183.193.19
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression123246810Min: 3.16 / Avg: 3.18 / Max: 3.2Min: 3.18 / Avg: 3.19 / Max: 3.21Min: 3.16 / Avg: 3.19 / Max: 3.2

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 13210.06120.12240.18360.24480.306SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.2720.2720.272
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 132112345Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.27

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 53210.18410.36820.55230.73640.9205SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 30.8180.8160.815
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5321246810Min: 0.81 / Avg: 0.82 / Max: 0.82Min: 0.81 / Avg: 0.82 / Max: 0.82Min: 0.81 / Avg: 0.81 / Max: 0.82

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj1233691215SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 310.8110.8010.79MIN: 10.7 / MAX: 11.01MIN: 10.71 / MAX: 11.01MIN: 10.7 / MAX: 10.96
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon Obj1233691215Min: 10.75 / Avg: 10.81 / Max: 10.89Min: 10.76 / Avg: 10.8 / Max: 10.86Min: 10.74 / Avg: 10.79 / Max: 10.82

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed13216003200480064008000SE +/- 5.97, N = 3SE +/- 14.52, N = 3SE +/- 4.05, N = 37283.67278.77259.41. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed13213002600390052006500Min: 7272.2 / Avg: 7283.6 / Max: 7292.4Min: 7253.5 / Avg: 7278.67 / Max: 7303.8Min: 7251.3 / Avg: 7259.4 / Max: 7263.51. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed2131020304050SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.56, N = 342.1142.0641.601. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed213918273645Min: 42.08 / Avg: 42.11 / Max: 42.13Min: 42.05 / Avg: 42.06 / Max: 42.08Min: 40.48 / Avg: 41.6 / Max: 42.161. (CC) gcc options: -O3

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown132246810SE +/- 0.0232, N = 3SE +/- 0.0281, N = 3SE +/- 0.0079, N = 38.68048.66758.6170MIN: 8.59 / MAX: 8.82MIN: 8.57 / MAX: 8.83MIN: 8.56 / MAX: 8.76
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Crown1323691215Min: 8.63 / Avg: 8.68 / Max: 8.71Min: 8.62 / Avg: 8.67 / Max: 8.71Min: 8.6 / Avg: 8.62 / Max: 8.63

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed31216003200480064008000SE +/- 4.32, N = 3SE +/- 4.72, N = 3SE +/- 6.48, N = 37267.97267.37256.91. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed31213002600390052006500Min: 7260.8 / Avg: 7267.9 / Max: 7275.7Min: 7260.8 / Avg: 7267.33 / Max: 7276.5Min: 7244 / Avg: 7256.93 / Max: 7264.11. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed3211020304050SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 343.0442.9942.971. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed321918273645Min: 43.01 / Avg: 43.04 / Max: 43.06Min: 42.98 / Avg: 42.99 / Max: 43Min: 42.94 / Avg: 42.97 / Max: 42.991. (CC) gcc options: -O3

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 6.0.16231100K200K300K400K500KSE +/- 111.39, N = 3SE +/- 531.93, N = 3SE +/- 1362.98, N = 3475933.28475766.15470540.931. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1623180K160K240K320K400KMin: 475711.77 / Avg: 475933.28 / Max: 476064.59Min: 474818.91 / Avg: 475766.15 / Max: 476659.18Min: 468194.9 / Avg: 470540.93 / Max: 472916.131. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1327001400210028003500SE +/- 2.92, N = 3SE +/- 0.75, N = 3SE +/- 2.89, N = 33070.213073.953078.70
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1325001000150020002500Min: 3064.47 / Avg: 3070.21 / Max: 3073.99Min: 3072.46 / Avg: 3073.95 / Max: 3074.82Min: 3072.98 / Avg: 3078.7 / Max: 3082.27

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU3120.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.301.301.27
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU312246810Min: 1.29 / Avg: 1.3 / Max: 1.3Min: 1.3 / Avg: 1.3 / Max: 1.3Min: 1.26 / Avg: 1.27 / Max: 1.3

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU2317001400210028003500SE +/- 1.16, N = 3SE +/- 5.64, N = 3SE +/- 1.72, N = 33069.323073.873074.79
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU2315001000150020002500Min: 3067.36 / Avg: 3069.32 / Max: 3071.37Min: 3062.6 / Avg: 3073.87 / Max: 3079.61Min: 3072.72 / Avg: 3074.79 / Max: 3078.2

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU3210.29250.5850.87751.171.4625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.31.31.3
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU321246810Min: 1.3 / Avg: 1.3 / Max: 1.3Min: 1.3 / Avg: 1.3 / Max: 1.3Min: 1.3 / Avg: 1.3 / Max: 1.3

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1235001000150020002500SE +/- 0.54, N = 3SE +/- 0.91, N = 3SE +/- 1.10, N = 32114.402115.292116.99
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123400800120016002000Min: 2113.36 / Avg: 2114.4 / Max: 2115.16Min: 2113.74 / Avg: 2115.29 / Max: 2116.9Min: 2115.33 / Avg: 2116.99 / Max: 2119.08

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU3210.4230.8461.2691.6922.115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.881.881.88
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU321246810Min: 1.88 / Avg: 1.88 / Max: 1.88Min: 1.88 / Avg: 1.88 / Max: 1.89Min: 1.88 / Avg: 1.88 / Max: 1.88

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1235001000150020002500SE +/- 0.83, N = 3SE +/- 0.51, N = 3SE +/- 1.55, N = 32113.872115.312116.84
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123400800120016002000Min: 2112.64 / Avg: 2113.87 / Max: 2115.46Min: 2114.42 / Avg: 2115.31 / Max: 2116.19Min: 2113.84 / Avg: 2116.84 / Max: 2119.04

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU3210.4230.8461.2691.6922.115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.881.881.88
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU321246810Min: 1.87 / Avg: 1.88 / Max: 1.88Min: 1.88 / Avg: 1.88 / Max: 1.89Min: 1.87 / Avg: 1.88 / Max: 1.89

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123510152025SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 320.6820.8720.95MIN: 20.41 / MAX: 37.64MIN: 20.52 / MAX: 52.3MIN: 20.63 / MAX: 34.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123510152025Min: 20.53 / Avg: 20.68 / Max: 20.78Min: 20.73 / Avg: 20.87 / Max: 20.96Min: 20.75 / Avg: 20.95 / Max: 21.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd231612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 324.7224.7324.81MIN: 24.64 / MAX: 26.71MIN: 24.64 / MAX: 27.27MIN: 24.62 / MAX: 48.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd231612182430Min: 24.71 / Avg: 24.72 / Max: 24.74Min: 24.7 / Avg: 24.73 / Max: 24.76Min: 24.7 / Avg: 24.81 / Max: 25.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny231714212835SE +/- 0.07, N = 3SE +/- 0.76, N = 3SE +/- 0.25, N = 328.2028.9229.91MIN: 27.88 / MAX: 28.62MIN: 27.88 / MAX: 35.07MIN: 27.91 / MAX: 34.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny231714212835Min: 28.07 / Avg: 28.2 / Max: 28.31Min: 28.07 / Avg: 28.92 / Max: 30.43Min: 29.55 / Avg: 29.91 / Max: 30.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123612182430SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 327.3727.4627.47MIN: 26.85 / MAX: 35.85MIN: 27.01 / MAX: 44.87MIN: 27.05 / MAX: 45.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123612182430Min: 27.27 / Avg: 27.37 / Max: 27.45Min: 27.42 / Avg: 27.46 / Max: 27.52Min: 27.42 / Avg: 27.47 / Max: 27.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 311.1611.1911.19MIN: 11.09 / MAX: 11.53MIN: 11.11 / MAX: 11.28MIN: 11.11 / MAX: 20.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1233691215Min: 11.14 / Avg: 11.16 / Max: 11.19Min: 11.18 / Avg: 11.19 / Max: 11.2Min: 11.16 / Avg: 11.19 / Max: 11.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1831248121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 314.0014.0214.07MIN: 13.86 / MAX: 15.29MIN: 13.88 / MAX: 14.41MIN: 13.87 / MAX: 19.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1831248121620Min: 13.98 / Avg: 14 / Max: 14.02Min: 14.02 / Avg: 14.02 / Max: 14.03Min: 14.05 / Avg: 14.07 / Max: 14.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231122334455SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 347.9548.1448.18MIN: 47.64 / MAX: 50.16MIN: 47.78 / MAX: 64.77MIN: 47.69 / MAX: 57.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231020304050Min: 47.83 / Avg: 47.95 / Max: 48.04Min: 48.13 / Avg: 48.14 / Max: 48.17Min: 48.04 / Avg: 48.18 / Max: 48.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet13248121620SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 315.3915.4715.58MIN: 15.11 / MAX: 19.35MIN: 15.2 / MAX: 16.43MIN: 15.19 / MAX: 16.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet13248121620Min: 15.33 / Avg: 15.39 / Max: 15.52Min: 15.36 / Avg: 15.47 / Max: 15.56Min: 15.46 / Avg: 15.58 / Max: 15.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.58731.17461.76192.34922.9365SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 32.552.552.61MIN: 2.48 / MAX: 2.62MIN: 2.51 / MAX: 2.59MIN: 2.55 / MAX: 3.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface123246810Min: 2.5 / Avg: 2.55 / Max: 2.57Min: 2.53 / Avg: 2.55 / Max: 2.56Min: 2.56 / Avg: 2.61 / Max: 2.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0123246810SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.35, N = 38.178.348.67MIN: 8.07 / MAX: 8.37MIN: 8.06 / MAX: 16.21MIN: 8.06 / MAX: 89.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01233691215Min: 8.15 / Avg: 8.17 / Max: 8.18Min: 8.18 / Avg: 8.34 / Max: 8.49Min: 8.2 / Avg: 8.67 / Max: 9.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1321.26682.53363.80045.06726.334SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 35.455.605.63MIN: 5.28 / MAX: 16.44MIN: 5.39 / MAX: 16.65MIN: 5.37 / MAX: 17.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet132246810Min: 5.35 / Avg: 5.45 / Max: 5.59Min: 5.53 / Avg: 5.6 / Max: 5.73Min: 5.52 / Avg: 5.63 / Max: 5.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2123246810SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 36.886.956.97MIN: 6.77 / MAX: 17.73MIN: 6.77 / MAX: 18.58MIN: 6.8 / MAX: 18.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21233691215Min: 6.81 / Avg: 6.88 / Max: 6.93Min: 6.9 / Avg: 6.95 / Max: 7.02Min: 6.83 / Avg: 6.97 / Max: 7.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31231.22632.45263.67894.90526.1315SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 35.405.425.45MIN: 5.25 / MAX: 17.21MIN: 5.27 / MAX: 16.73MIN: 5.3 / MAX: 16.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 5.29 / Avg: 5.4 / Max: 5.5Min: 5.36 / Avg: 5.42 / Max: 5.45Min: 5.39 / Avg: 5.45 / Max: 5.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 36.196.236.32MIN: 6 / MAX: 15.89MIN: 6.01 / MAX: 16.48MIN: 6.04 / MAX: 17.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 6.13 / Avg: 6.19 / Max: 6.24Min: 6.18 / Avg: 6.23 / Max: 6.3Min: 6.24 / Avg: 6.32 / Max: 6.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet231510152025SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 320.2320.4420.50MIN: 20.1 / MAX: 22.33MIN: 20.12 / MAX: 27.98MIN: 20.12 / MAX: 38.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet231510152025Min: 20.22 / Avg: 20.23 / Max: 20.24Min: 20.23 / Avg: 20.44 / Max: 20.84Min: 20.25 / Avg: 20.5 / Max: 20.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S1231530456075SE +/- 0.44, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 365.8266.2066.221. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1S1231326395265Min: 64.96 / Avg: 65.82 / Max: 66.42Min: 65.83 / Avg: 66.2 / Max: 66.46Min: 66.17 / Avg: 66.22 / Max: 66.331. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under Load312612182430SE +/- 1.22, N = 25SE +/- 0.84, N = 25SE +/- 1.08, N = 2024.4825.4725.961. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under Load312612182430Min: 12.54 / Avg: 24.47 / Max: 32.66Min: 12.62 / Avg: 25.47 / Max: 29.41Min: 12.35 / Avg: 25.96 / Max: 29.231. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown3213691215SE +/- 0.0193, N = 3SE +/- 0.0397, N = 3SE +/- 0.0256, N = 39.76299.73539.6807MIN: 9.68 / MAX: 9.94MIN: 9.62 / MAX: 9.95MIN: 9.6 / MAX: 9.86
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Crown3213691215Min: 9.73 / Avg: 9.76 / Max: 9.8Min: 9.67 / Avg: 9.74 / Max: 9.81Min: 9.65 / Avg: 9.68 / Max: 9.73

IndigoBench

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

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom3120.29210.58420.87631.16841.4605SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 31.2981.2971.291
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom312246810Min: 1.3 / Avg: 1.3 / Max: 1.3Min: 1.3 / Avg: 1.3 / Max: 1.3Min: 1.29 / Avg: 1.29 / Max: 1.29

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar1230.66741.33482.00222.66963.337SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 32.9662.9632.946
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar123246810Min: 2.96 / Avg: 2.97 / Max: 2.97Min: 2.96 / Avg: 2.96 / Max: 2.97Min: 2.94 / Avg: 2.95 / Max: 2.95

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon2313691215SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 310.0510.0510.01MIN: 9.94 / MAX: 10.21MIN: 9.86 / MAX: 10.24MIN: 9.97 / MAX: 10.12
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon2313691215Min: 9.97 / Avg: 10.05 / Max: 10.13Min: 9.89 / Avg: 10.05 / Max: 10.13Min: 10 / Avg: 10.01 / Max: 10.05

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.17330.34660.51990.69320.8665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.770.77
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.77

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU13211002200330044005500SE +/- 13.21, N = 3SE +/- 7.38, N = 3SE +/- 8.75, N = 35069.475066.615044.33
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1329001800270036004500Min: 5043.06 / Avg: 5069.47 / Max: 5083.03Min: 5051.91 / Avg: 5066.61 / Max: 5075.09Min: 5027.32 / Avg: 5044.33 / Max: 5056.39

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian3214080120160200SE +/- 0.33, N = 31761761751. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian321306090120150Min: 175 / Avg: 175.67 / Max: 1761. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.17330.34660.51990.69320.8665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.770.77
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.77 / Avg: 0.77 / Max: 0.77

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU12311002200330044005500SE +/- 9.42, N = 3SE +/- 9.51, N = 3SE +/- 7.20, N = 35077.115066.125060.17
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1239001800270036004500Min: 5059.35 / Avg: 5077.11 / Max: 5091.42Min: 5048.76 / Avg: 5066.12 / Max: 5081.51Min: 5052.9 / Avg: 5060.17 / Max: 5074.56

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Sharpen321204060801009090901. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Swirl32160120180240300SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 32642642621. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Swirl32150100150200250Min: 263 / Avg: 264 / Max: 265Min: 263 / Avg: 263.67 / Max: 264Min: 261 / Avg: 262 / Max: 2631. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Enhanced321204060801001011011011. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Resizing321140280420560700SE +/- 0.67, N = 3SE +/- 1.15, N = 3SE +/- 1.15, N = 36566516481. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Resizing321120240360480600Min: 655 / Avg: 655.67 / Max: 657Min: 649 / Avg: 651 / Max: 653Min: 646 / Avg: 648 / Max: 6501. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space321120240360480600SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 35785755651. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space321100200300400500Min: 577 / Avg: 577.67 / Max: 579Min: 575 / Avg: 575.33 / Max: 576Min: 564 / Avg: 565.33 / Max: 5661. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Rotate321130260390520650SE +/- 0.33, N = 36136125981. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Rotate321110220330440550Min: 613 / Avg: 613.33 / Max: 6141. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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: 10023113K26K39K52K65KSE +/- 51.35, N = 3SE +/- 27.33, N = 3SE +/- 170.12, N = 35920559221593071. (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: 10023110K20K30K40K50KMin: 59129 / Avg: 59205.33 / Max: 59303Min: 59166 / Avg: 59220.67 / Max: 59248Min: 59080 / Avg: 59307 / Max: 596401. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: Very Fast2133691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 310.2810.2810.101. (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 Fast2133691215Min: 10.26 / Avg: 10.28 / Max: 10.3Min: 10.27 / Avg: 10.28 / Max: 10.29Min: 10.09 / Avg: 10.1 / Max: 10.11. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 62130.24590.49180.73770.98361.2295SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 31.0931.0881.086
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6213246810Min: 1.09 / Avg: 1.09 / Max: 1.1Min: 1.09 / Avg: 1.09 / Max: 1.09Min: 1.08 / Avg: 1.09 / Max: 1.09

Redis

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

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET132300K600K900K1200K1500KSE +/- 34189.05, N = 15SE +/- 32485.29, N = 15SE +/- 26544.26, N = 151481853.311464928.241456546.481. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SET132300K600K900K1200K1500KMin: 1164665.88 / Avg: 1481853.31 / Max: 1587758.75Min: 1164293.38 / Avg: 1464928.24 / Max: 1560162.38Min: 1160389.75 / Avg: 1456546.48 / Max: 1565245.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon2313691215SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 312.1412.1012.03MIN: 11.91 / MAX: 12.45MIN: 11.87 / MAX: 12.37MIN: 11.97 / MAX: 12.2
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon23148121620Min: 11.95 / Avg: 12.14 / Max: 12.33Min: 11.91 / Avg: 12.1 / Max: 12.22Min: 12.01 / Avg: 12.03 / Max: 12.05

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: Throughput23160K120K180K240K300KSE +/- 2697.01, N = 25SE +/- 2962.76, N = 5SE +/- 2778.72, N = 252660972656222655431. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: Throughput23150K100K150K200K250KMin: 252080 / Avg: 266096.8 / Max: 302074Min: 257661 / Avg: 265621.6 / Max: 275688Min: 243684 / Avg: 265543 / Max: 2911111. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Redis

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

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP123400K800K1200K1600K2000KSE +/- 33266.07, N = 15SE +/- 113389.94, N = 12SE +/- 28277.44, N = 152000353.861685556.721279010.171. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOP123300K600K900K1200K1500KMin: 1706812.25 / Avg: 2000353.86 / Max: 2146472.25Min: 1046025.12 / Avg: 1685556.72 / Max: 2097106.88Min: 1047422 / Avg: 1279010.17 / Max: 1377586.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 21231122334455SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 347.3847.4247.511. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 21231020304050Min: 47.36 / Avg: 47.38 / Max: 47.41Min: 47.4 / Avg: 47.42 / Max: 47.44Min: 47.38 / Avg: 47.51 / Max: 47.611. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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: Thorough321918273645SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 341.5041.5141.521. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough321918273645Min: 41.48 / Avg: 41.5 / Max: 41.53Min: 41.49 / Avg: 41.51 / Max: 41.52Min: 41.48 / Avg: 41.52 / Max: 41.551. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

CLOMP

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

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup3213691215SE +/- 0.09, N = 3SE +/- 0.15, N = 4SE +/- 0.14, N = 410.210.29.91. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup3213691215Min: 10 / Avg: 10.17 / Max: 10.3Min: 9.9 / Avg: 10.23 / Max: 10.6Min: 9.7 / Avg: 9.9 / Max: 10.31. (CC) gcc options: -fopenmp -O3 -lm

Redis

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

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD132400K800K1200K1600K2000KSE +/- 11131.75, N = 3SE +/- 24311.83, N = 15SE +/- 31572.89, N = 151639601.211635637.531625787.131. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADD132300K600K900K1200K1500KMin: 1618226.62 / Avg: 1639601.21 / Max: 1655682.25Min: 1430661 / Avg: 1635637.53 / Max: 1733601.38Min: 1277425.25 / Avg: 1625787.13 / Max: 1721335.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH213300K600K900K1200K1500KSE +/- 10203.98, N = 15SE +/- 16275.71, N = 5SE +/- 34112.41, N = 121306966.331289264.921243644.161. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSH213200K400K600K800K1000KMin: 1241131.5 / Avg: 1306966.33 / Max: 1361197.25Min: 1243781.12 / Avg: 1289264.92 / Max: 1344215Min: 978567.56 / Avg: 1243644.16 / Max: 1349873.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

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 1080p - Video Preset: Medium21348121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 315.6715.6515.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium21348121620Min: 15.61 / Avg: 15.67 / Max: 15.72Min: 15.61 / Avg: 15.65 / Max: 15.68Min: 15.41 / Avg: 15.43 / Max: 15.451. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 102310.54561.09121.63682.18242.728SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.001, N = 32.4252.4192.415
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10231246810Min: 2.42 / Avg: 2.42 / Max: 2.43Min: 2.4 / Avg: 2.42 / Max: 2.43Min: 2.41 / Avg: 2.41 / Max: 2.42

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz213612182430SE +/- 0.28, N = 6SE +/- 0.31, N = 4SE +/- 0.33, N = 422.8423.1623.22
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz213510152025Min: 22.39 / Avg: 22.84 / Max: 24.2Min: 22.57 / Avg: 23.16 / Max: 23.84Min: 22.3 / Avg: 23.22 / Max: 23.87

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed31216003200480064008000SE +/- 10.24, N = 3SE +/- 8.20, N = 3SE +/- 10.99, N = 37503.57499.07494.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed31213002600390052006500Min: 7487.2 / Avg: 7503.5 / Max: 7522.4Min: 7484.2 / Avg: 7499 / Max: 7512.5Min: 7472.8 / Avg: 7494 / Max: 7509.61. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed23113002600390052006500SE +/- 5.37, N = 3SE +/- 8.03, N = 3SE +/- 1.20, N = 36163.866152.726098.311. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed23111002200330044005500Min: 6153.52 / Avg: 6163.86 / Max: 6171.53Min: 6142.4 / Avg: 6152.72 / Max: 6168.53Min: 6096.7 / Avg: 6098.31 / Max: 6100.661. (CC) gcc options: -O3

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping Pong2131.01482.02963.04444.05925.074SE +/- 0.032, N = 5SE +/- 0.037, N = 25SE +/- 0.055, N = 64.4874.4994.5101. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping Pong213246810Min: 4.38 / Avg: 4.49 / Max: 4.58Min: 4.28 / Avg: 4.5 / Max: 4.99Min: 4.36 / Avg: 4.51 / Max: 4.741. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast123510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 318.5618.5218.291. (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 Fast123510152025Min: 18.51 / Avg: 18.56 / Max: 18.62Min: 18.5 / Avg: 18.52 / Max: 18.56Min: 18.25 / Avg: 18.29 / Max: 18.321. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PHPBench

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

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123130K260K390K520K650KSE +/- 676.23, N = 3SE +/- 872.14, N = 3SE +/- 1083.96, N = 3626480626218624167
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123110K220K330K440K550KMin: 625406 / Avg: 626480.33 / Max: 627729Min: 624749 / Avg: 626218 / Max: 627767Min: 622404 / Avg: 624166.67 / Max: 626141

Crafty

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

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time3121.5M3M4.5M6M7.5MSE +/- 33788.32, N = 3SE +/- 8272.92, N = 3SE +/- 19512.27, N = 37021270700296869267211. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time3121.2M2.4M3.6M4.8M6MMin: 6985935 / Avg: 7021270.33 / Max: 7088823Min: 6988999 / Avg: 7002968.33 / Max: 7017632Min: 6897715 / Avg: 6926720.67 / Max: 69638331. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second32160K120K180K240K300KSE +/- 486.71, N = 3SE +/- 590.16, N = 3SE +/- 1053.72, N = 3273946.97273924.34270945.861. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second32150K100K150K200K250KMin: 273014.25 / Avg: 273946.97 / Max: 274654.54Min: 272804.77 / Avg: 273924.34 / Max: 274807.85Min: 269780.38 / Avg: 270945.86 / Max: 273049.191. (CC) gcc options: -O2 -lrt" -lrt

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 322.3022.3322.33
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025Min: 22.25 / Avg: 22.3 / Max: 22.33Min: 22.26 / Avg: 22.33 / Max: 22.44Min: 22.25 / Avg: 22.33 / Max: 22.41

WavPack Audio Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620SE +/- 0.04, N = 5SE +/- 0.05, N = 5SE +/- 0.05, N = 515.9815.9816.011. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620Min: 15.92 / Avg: 15.98 / Max: 16.14Min: 15.93 / Avg: 15.98 / Max: 16.18Min: 15.92 / Avg: 16.01 / Max: 16.181. (CXX) g++ options: -rdynamic

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU312246810SE +/- 0.01396, N = 3SE +/- 0.10075, N = 5SE +/- 0.12917, N = 37.664747.876957.90354MIN: 7.58MIN: 7.57MIN: 7.651. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU3123691215Min: 7.64 / Avg: 7.66 / Max: 7.69Min: 7.62 / Avg: 7.88 / Max: 8.12Min: 7.74 / Avg: 7.9 / Max: 8.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 2020-06-28321612182430SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 325.5225.6725.711. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28321612182430Min: 25.43 / Avg: 25.52 / Max: 25.63Min: 25.41 / Avg: 25.67 / Max: 25.9Min: 25.68 / Avg: 25.71 / Max: 25.741. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Redis

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

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET312400K800K1200K1600K2000KSE +/- 28672.73, N = 3SE +/- 22966.71, N = 3SE +/- 26369.12, N = 151852979.381834428.001750688.541. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GET312300K600K900K1200K1500KMin: 1802147.75 / Avg: 1852979.38 / Max: 1901384Min: 1805342.88 / Avg: 1834428 / Max: 1879759.38Min: 1466932.62 / Avg: 1750688.54 / Max: 1883480.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Ogg Audio Encoding

This test times how long it takes to encode a sample WAV file to Ogg format using the reference Xiph.org tools/libraries. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To Ogg213612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 324.7524.7624.781. (CC) gcc options: -O2 -ffast-math -fsigned-char
OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To Ogg213612182430Min: 24.74 / Avg: 24.75 / Max: 24.76Min: 24.73 / Avg: 24.75 / Max: 24.81Min: 24.76 / Avg: 24.78 / Max: 24.791. (CC) gcc options: -O2 -ffast-math -fsigned-char

Monkey Audio Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE31248121620SE +/- 0.05, N = 5SE +/- 0.04, N = 5SE +/- 0.06, N = 514.1414.1614.171. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE31248121620Min: 14.06 / Avg: 14.14 / Max: 14.34Min: 14.08 / Avg: 14.16 / Max: 14.3Min: 14.07 / Avg: 14.17 / Max: 14.411. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

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 Dynamics132612182430SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 323.2123.3223.40
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics132510152025Min: 23.02 / Avg: 23.21 / Max: 23.33Min: 23.1 / Avg: 23.32 / Max: 23.65Min: 23.12 / Avg: 23.4 / Max: 23.69

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU132246810SE +/- 0.00863, N = 3SE +/- 0.03639, N = 3SE +/- 0.01093, N = 36.334796.372706.40014MIN: 6.26MIN: 6.26MIN: 6.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1323691215Min: 6.32 / Avg: 6.33 / Max: 6.35Min: 6.32 / Avg: 6.37 / Max: 6.44Min: 6.38 / Avg: 6.4 / Max: 6.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 1080p231816243240SE +/- 0.16, N = 3SE +/- 0.18, N = 3SE +/- 0.53, N = 336.2235.6035.511. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p231816243240Min: 35.99 / Avg: 36.22 / Max: 36.53Min: 35.35 / Avg: 35.6 / Max: 35.96Min: 34.49 / Avg: 35.51 / Max: 36.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 1080p - Video Preset: Very Fast213816243240SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 336.7836.7836.021. (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 Fast213816243240Min: 36.68 / Avg: 36.78 / Max: 36.93Min: 36.73 / Avg: 36.78 / Max: 36.81Min: 35.96 / Avg: 36.02 / Max: 36.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Opus Codec Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode3213691215SE +/- 0.008, N = 5SE +/- 0.033, N = 5SE +/- 0.024, N = 59.6169.6439.6781. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode3213691215Min: 9.6 / Avg: 9.62 / Max: 9.64Min: 9.59 / Avg: 9.64 / Max: 9.76Min: 9.65 / Avg: 9.68 / Max: 9.77