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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December 26 2020
  9 Hours, 34 Minutes
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December 26 2020
  9 Hours, 50 Minutes
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December 27 2020
  9 Hours, 58 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 Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorecouchdb: 100 - 1000 - 24asmfish: 1024 Hash Memory, 26 Depthastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3brl-cad: VGR Performance Metricbuild2: Time To Compilebyte: Dhrystone 2caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200clomp: Static OMP Speedupcompilebench: Compilecompilebench: Initial Createcompilebench: Read Compiled Treecoremark: CoreMark Size 666 - Iterations Per Secondcrafty: Elapsed Timedolfyn: Computational Fluid Dynamicsembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objespeak: Text-To-Speech Synthesisffte: N=256, 3D Complex FFT Routinegraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spacegromacs: Water Benchmarkhint: FLOATindigobench: CPU - Bedroomindigobench: CPU - Supercarkeydb: 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: Eigencompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionencode-ape: WAV To APEncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mnode-web-tooling: numpy: encode-ogg: WAV To Oggonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUencode-opus: WAV To Opus Encodephpbench: PHP Benchmark Suiterav1e: 1rav1e: 5rav1e: 6rav1e: 10redis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETrnnoise: sockperf: Throughputsockperf: Latency Ping Pongsockperf: Latency Under Loadsqlite-speedtest: Timed Time - Size 1,000stockfish: Total Timebuild-eigen: Time To Compilebuild-ffmpeg: Time To Compilehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAunpack-firefox: firefox-84.0.source.tar.xzencode-wavpack: WAV To WavPackx265: Bosphorus 4Kx265: Bosphorus 1080pyquake2: Software CPU - 1920 x 1080123101910602079134.602217079187.006.5941.52334.1065.82210.23847.38388.87488817173.72037390438.7593071180861509943019609.9760.84357.552243.77270945.863096700296823.2078.68049.680710.01469.400212.031910.812035.72130109.610789668262598901016481755650.754348188152.871621.2972.966470540.933.6215.6510.2818.5636.7869.705.055110510466098.317499.042.977267.342.067283.667.1761.4622.303.1814.15720.506.195.406.885.458.172.5515.3947.9514.0211.1627.3729.9124.8120.689.77285.1524.7554.530126.877523.133412.5520412.55196.334799.1772710.81607.876956.203194531.112474.884529.122472.673.013734533.012480.103.509931.882114.401.882113.871.33070.211.33074.795069.470.775077.110.779.6786264800.2720.8151.0882.4152000353.861639601.211289264.921834428.001481853.3125.7112655434.49925.46879.0221412440497.31681.843162.57511.35823.16015.9778.8535.5175.4102210602082134.085215776037.116.5841.51334.1766.20410.20247.41888.98688995172.59237461981.35920511850715085330168610.2773.58339.322297.29273924.335703692672123.3978.61709.735310.05409.419112.137310.798637.47930542.463681196264612901016511765750.753349172823.112381.2912.963475933.283.6115.6710.2818.5236.7869.215.026110410506163.867494.042.997256.942.117259.467.9363.5622.333.1914.17020.236.235.426.955.638.342.5515.5848.1414.0711.1927.4628.2024.7220.879.71289.2024.7494.583506.787913.158742.5345712.49806.400149.2346310.75467.903546.212954525.422468.974523.862470.372.988144523.922469.553.496801.882115.291.882115.311.273078.701.33069.325044.330.775066.120.779.6436262180.2720.8161.0932.4251685556.721625787.131306966.331750688.541456546.4825.6692660974.48725.96179.6621414134297.17981.860163.45411.31722.83715.9808.7536.2273.6102210652087135.298217686627.046.5941.50334.2166.22310.20447.50688.93388885178.60037177008.15922111814915102030176010.2653.68376.152286.43273946.970904702127023.3238.66759.762910.04779.349912.098410.786838.49730708.448763254264613901016561765780.755348871675.898171.2982.946475766.153.5515.4310.1018.2936.0268.685.072109110386152.727503.543.047267.941.607278.771.2267.8222.333.1914.13920.446.325.456.975.608.672.6115.4748.1814.0011.1927.4728.9224.7320.959.50283.8824.7774.557786.811393.144752.5249412.47816.372709.1992110.80747.664746.210704533.642468.804536.472468.252.974474526.332466.093.460341.882116.991.882116.841.303073.951.33073.875066.610.775060.170.779.6166241670.2720.8181.0862.4191279010.171635637.531243644.161852979.381464928.2425.5212656224.51024.47579.3161390057597.80781.743163.31311.25623.21716.0128.8735.6074.8OpenBenchmarking.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 Inference Score3212004006008001000102210221019

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

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

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

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

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: Fast132246810SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 37.007.047.111. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1323691215Min: 6.99 / Avg: 7 / Max: 7.01Min: 7 / Avg: 7.04 / Max: 7.11Min: 7 / Avg: 7.11 / Max: 7.231. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium213246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.586.596.591. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium2133691215Min: 6.58 / Avg: 6.58 / Max: 6.59Min: 6.58 / Avg: 6.59 / Max: 6.59Min: 6.58 / Avg: 6.59 / Max: 6.591. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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

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

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 02313691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 310.2010.2010.241. (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 02313691215Min: 10.19 / Avg: 10.2 / Max: 10.22Min: 10.2 / Avg: 10.2 / Max: 10.21Min: 10.18 / Avg: 10.24 / Max: 10.341. (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 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

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

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

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

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: 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

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

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

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

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

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

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial Create31280160240320400SE +/- 7.94, N = 3SE +/- 5.18, N = 3SE +/- 25.84, N = 3376.15357.55339.32
OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial Create31270140210280350Min: 365.3 / Avg: 376.15 / Max: 391.62Min: 348.16 / Avg: 357.55 / Max: 366.05Min: 302 / Avg: 339.32 / Max: 388.95

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled Tree2315001000150020002500SE +/- 12.51, N = 3SE +/- 10.79, N = 3SE +/- 25.31, N = 32297.292286.432243.77
OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled Tree231400800120016002000Min: 2284.23 / Avg: 2297.29 / Max: 2322.31Min: 2268.32 / Avg: 2286.43 / Max: 2305.64Min: 2197.96 / Avg: 2243.77 / Max: 2285.33

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

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

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

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

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

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

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

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

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

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

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 Routine3217K14K21K28K35KSE +/- 89.40, N = 3SE +/- 209.55, N = 3SE +/- 340.92, N = 330708.4530542.4630109.611. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine3215K10K15K20K25KMin: 30612.86 / Avg: 30708.45 / Max: 30887.1Min: 30129.68 / Avg: 30542.46 / Max: 30811.66Min: 29747.65 / Avg: 30109.61 / Max: 307911. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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: 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: 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

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: 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: 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

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

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

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

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

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

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

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

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

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

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast1231632486480SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.22, N = 369.7069.2168.681. (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 Fast1231326395265Min: 69.51 / Avg: 69.7 / Max: 69.89Min: 68.93 / Avg: 69.21 / Max: 69.62Min: 68.44 / Avg: 68.68 / Max: 69.111. (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 29Oct2020Model: Rhodopsin Protein3121.14122.28243.42364.56485.706SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.072, N = 35.0725.0555.0261. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein312246810Min: 5.06 / Avg: 5.07 / Max: 5.09Min: 5.05 / Avg: 5.05 / Max: 5.06Min: 4.88 / Avg: 5.03 / Max: 5.11. (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: 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

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression 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

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: 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

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: 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

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

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

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

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

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

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

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: 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

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-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 - 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 - 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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

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

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

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

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1321.03132.06263.09394.12525.1565SE +/- 0.01478, N = 3SE +/- 0.02200, N = 3SE +/- 0.03023, N = 34.530124.557784.58350MIN: 4.43MIN: 4.45MIN: 4.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU132246810Min: 4.5 / Avg: 4.53 / Max: 4.55Min: 4.51 / Avg: 4.56 / Max: 4.59Min: 4.53 / Avg: 4.58 / Max: 4.631. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU231246810SE +/- 0.02409, N = 3SE +/- 0.03424, N = 3SE +/- 0.01639, N = 36.787916.811396.87752MIN: 6.64MIN: 6.68MIN: 6.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU2313691215Min: 6.75 / Avg: 6.79 / Max: 6.83Min: 6.74 / Avg: 6.81 / Max: 6.86Min: 6.85 / Avg: 6.88 / Max: 6.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1320.71071.42142.13212.84283.5535SE +/- 0.01227, N = 3SE +/- 0.01108, N = 3SE +/- 0.01228, N = 33.133413.144753.15874MIN: 3.07MIN: 3.07MIN: 3.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU132246810Min: 3.11 / Avg: 3.13 / Max: 3.15Min: 3.12 / Avg: 3.14 / Max: 3.16Min: 3.14 / Avg: 3.16 / Max: 3.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU3210.57421.14841.72262.29682.871SE +/- 0.01253, N = 3SE +/- 0.01518, N = 3SE +/- 0.01421, N = 32.524942.534572.55204MIN: 2.48MIN: 2.49MIN: 2.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU321246810Min: 2.5 / Avg: 2.52 / Max: 2.54Min: 2.51 / Avg: 2.53 / Max: 2.56Min: 2.53 / Avg: 2.55 / Max: 2.571. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU3213691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 312.4812.5012.55MIN: 12.34MIN: 12.37MIN: 12.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU32148121620Min: 12.46 / Avg: 12.48 / Max: 12.52Min: 12.47 / Avg: 12.5 / Max: 12.55Min: 12.52 / Avg: 12.55 / Max: 12.591. (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: 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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1323691215SE +/- 0.01399, N = 3SE +/- 0.00829, N = 3SE +/- 0.02794, N = 39.177279.199219.23463MIN: 9.08MIN: 9.09MIN: 9.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1323691215Min: 9.15 / Avg: 9.18 / Max: 9.2Min: 9.19 / Avg: 9.2 / Max: 9.22Min: 9.18 / Avg: 9.23 / Max: 9.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU2313691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 310.7510.8110.82MIN: 10.48MIN: 10.47MIN: 10.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU2313691215Min: 10.72 / Avg: 10.75 / Max: 10.81Min: 10.78 / Avg: 10.81 / Max: 10.86Min: 10.79 / Avg: 10.82 / Max: 10.861. (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: 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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU132246810SE +/- 0.01219, N = 3SE +/- 0.01601, N = 3SE +/- 0.02072, N = 36.203196.210706.21295MIN: 6.12MIN: 6.1MIN: 6.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU132246810Min: 6.18 / Avg: 6.2 / Max: 6.22Min: 6.19 / Avg: 6.21 / Max: 6.24Min: 6.18 / Avg: 6.21 / Max: 6.251. (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: 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 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 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

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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU3210.67811.35622.03432.71243.3905SE +/- 0.00748, N = 3SE +/- 0.00758, N = 3SE +/- 0.00785, N = 32.974472.988143.01373MIN: 2.9MIN: 2.91MIN: 2.931. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU321246810Min: 2.96 / Avg: 2.97 / Max: 2.99Min: 2.97 / Avg: 2.99 / Max: 3Min: 3 / Avg: 3.01 / Max: 3.021. (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 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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU3210.78971.57942.36913.15883.9485SE +/- 0.01650, N = 3SE +/- 0.02742, N = 3SE +/- 0.00979, N = 33.460343.496803.50993MIN: 3.32MIN: 3.33MIN: 3.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU321246810Min: 3.44 / Avg: 3.46 / Max: 3.49Min: 3.44 / Avg: 3.5 / Max: 3.53Min: 3.49 / Avg: 3.51 / Max: 3.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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.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 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 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

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: 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 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 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: 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: 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

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 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

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

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: 9.771. (CXX) g++ options: -fvisibility=hidden -logg -lm

PHPBench

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

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark 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

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

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

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

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

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