Broadwell 2021

Intel Core i7-5600U testing with a LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.10 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 2101027-HA-BROADWELL87
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January 01 2021
  10 Hours, 52 Minutes
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January 01 2021
  10 Hours, 17 Minutes
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January 02 2021
  10 Hours, 38 Minutes
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Broadwell 2021ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionR123Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads)LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS)Intel Broadwell-U-OPI8GB128GB SAMSUNG MZNTE128Intel HD 5500 3GB (950MHz)Intel Broadwell-U AudioIntel I218-LM + Intel 7265Ubuntu 20.105.9.1-050901-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 21.0.0-devel (git-bd69765 2021-01-01 groovy-oibaf-ppa)OpenCL 3.01.2.145GCC 10.2.0ext41920x1080OpenBenchmarking.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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x2f - Thermald 2.3Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

R123Result OverviewPhoronix Test Suite100%102%104%106%CLOMPTimed MAFFT AlignmentVkResampleSQLite SpeedtestCoremarkNode.js V8 Web Tooling BenchmarkBuild2NCNNoneDNNWarsowTimed Eigen CompilationTimed FFmpeg CompilationBRL-CADVKMarkBetsy GPU CompressorUnpacking FirefoxVkFFTPHPBenchCryptsetupOpus Codec EncodingMonkey Audio EncodingLibplaceboTimed HMMer SearchOgg Audio EncodingsimdjsonWavPack Audio Encoding

Broadwell 2021vkfft: libplacebo: deband_heavylibplacebo: polar_nocomputelibplacebo: hdr_peakdetectlibplacebo: av1_grain_lapwarsow: 1280 x 1024warsow: 1920 x 1080simdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDcryptsetup: PBKDF2-sha512cryptsetup: PBKDF2-whirlpoolcoremark: CoreMark Size 666 - Iterations Per Secondcryptsetup: AES-XTS 256b Encryptioncryptsetup: AES-XTS 256b Decryptioncryptsetup: Serpent-XTS 256b Encryptioncryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Twofish-XTS 256b Encryptioncryptsetup: Twofish-XTS 256b Decryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: AES-XTS 512b Decryptioncryptsetup: Serpent-XTS 512b Encryptioncryptsetup: Serpent-XTS 512b Decryptioncryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Twofish-XTS 512b Decryptionnode-web-tooling: phpbench: PHP Benchmark Suiteclomp: Static OMP Speedupbrl-cad: VGR Performance Metricvkmark: 800 x 600vkmark: 1024 x 768vkmark: 1280 x 1024vkmark: 1920 x 1080vkresample: 2x - Doublevkresample: 2x - Singleonednn: 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 - CPUncnn: 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_400mncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mbetsy: ETC1 - Highestbetsy: ETC2 RGB - Highesthmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbuild-ffmpeg: Time To Compilebuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEencode-ogg: WAV To Oggencode-opus: WAV To Opus Encodesqlite-speedtest: Timed Time - Size 1,000encode-wavpack: WAV To WavPackunpack-firefox: firefox-84.0.source.tar.xzR123112638.6523.7332875.89537.1170.745.60.490.330.580.59126334851367260703.7332891577.51577.4505.1489.0313.2314.81304.91285.1505.2488.7314.9315.07.245291001.31458016761096693465152.680152.24021.004020.908013.29477.0195227.796629.149935.354033.884032.113726.201420830.511261.420853.011297.410.109420903.311309.115.453261.4914.5512.6321.4014.2622.505.6447.18153.1845.5136.84101.1179.4471.3327.8261.5514.5612.6921.5314.4522.465.6547.33153.0045.6437.08101.5579.3571.2327.8116.14816.185129.00617.008341.928919.504116.41316.84927.95510.89495.58118.94627.462112238.6123.7232911.33534.5170.545.80.490.330.580.59126284351300160082.6730191581.41586.7505.4488.6314.3316.01287.51289.3506.8490.5315.7315.57.305284471.21456216911097685461155.244152.37721.087520.517213.33256.8080927.746329.404535.637333.500331.695626.222520852.011332.220912.711316.99.1228720853.411320.115.544861.3814.4412.5621.3414.0522.115.6247.01152.8845.6537.02101.1779.0471.0327.7261.4114.4712.5721.3614.1321.975.4846.26152.9845.4136.70101.2278.9070.9727.1316.17716.221129.09217.196340.639918.462116.86016.84327.94210.90394.57718.94827.404112438.6323.7332916.08534.1569.545.80.490.330.580.59126334551333660345.6116161590.41559.6503.4488.7315.2315.91285.91273.4506.4487.8314.4315.47.315302301.31450416701092689463156.008153.24521.077220.625113.46016.8142327.301029.475235.803333.473631.969126.248620812.211243.520847.711200.410.0792820858.011214.915.563861.6114.5312.6521.3014.1622.305.6347.16152.9145.5136.81101.0178.8871.2627.6461.4714.5412.6121.2113.9822.015.4746.70152.9345.7336.76101.2379.1271.1827.2516.20816.244129.22017.369340.201906.249116.03516.86827.92410.92295.18718.94627.364OpenBenchmarking.org

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1R1232004006008001000SE +/- 2.52, N = 3SE +/- 2.00, N = 3SE +/- 1.45, N = 31126112211241. (CXX) g++ options: -O3 -pthread

Libplacebo

Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterLibplacebo 2.72.2Test: deband_heavyR123918273645SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 338.6538.6138.631. (CXX) g++ options: -lm -lglslang -lHLSL -lOGLCompiler -lOSDependent -lSPIRV -lSPVRemapper -lSPIRV-Tools -lSPIRV-Tools-opt -lpthread -pthread -pipe -std=c++11 -fvisibility=hidden -fPIC -MD -MQ -MF

OpenBenchmarking.orgFPS, More Is BetterLibplacebo 2.72.2Test: polar_nocomputeR123612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 323.7323.7223.731. (CXX) g++ options: -lm -lglslang -lHLSL -lOGLCompiler -lOSDependent -lSPIRV -lSPVRemapper -lSPIRV-Tools -lSPIRV-Tools-opt -lpthread -pthread -pipe -std=c++11 -fvisibility=hidden -fPIC -MD -MQ -MF

OpenBenchmarking.orgFPS, More Is BetterLibplacebo 2.72.2Test: hdr_peakdetectR1237K14K21K28K35KSE +/- 290.63, N = 3SE +/- 358.35, N = 3SE +/- 401.65, N = 332875.8932911.3332916.081. (CXX) g++ options: -lm -lglslang -lHLSL -lOGLCompiler -lOSDependent -lSPIRV -lSPVRemapper -lSPIRV-Tools -lSPIRV-Tools-opt -lpthread -pthread -pipe -std=c++11 -fvisibility=hidden -fPIC -MD -MQ -MF

OpenBenchmarking.orgFPS, More Is BetterLibplacebo 2.72.2Test: av1_grain_lapR123120240360480600SE +/- 0.34, N = 3SE +/- 1.77, N = 3SE +/- 1.17, N = 3537.11534.51534.151. (CXX) g++ options: -lm -lglslang -lHLSL -lOGLCompiler -lOSDependent -lSPIRV -lSPVRemapper -lSPIRV-Tools -lSPIRV-Tools-opt -lpthread -pthread -pipe -std=c++11 -fvisibility=hidden -fPIC -MD -MQ -MF

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1280 x 1024R1231632486480SE +/- 0.09, N = 3SE +/- 0.44, N = 3SE +/- 0.63, N = 1370.770.569.5

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1080R1231020304050SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 345.645.845.8

simdjson

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

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaR1230.11030.22060.33090.44120.5515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.490.490.491. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomR1230.07430.14860.22290.29720.3715SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.330.331. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsR1230.13050.2610.39150.5220.6525SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.580.580.581. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDR1230.13280.26560.39840.53120.664SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.590.590.591. (CXX) g++ options: -O3 -pthread

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512R123300K600K900K1200K1500KSE +/- 1520.33, N = 3SE +/- 2024.67, N = 3SE +/- 878.73, N = 3126334812628431263345

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolR123110K220K330K440K550KSE +/- 335.33, N = 3SE +/- 335.33, N = 3513672513001513336

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 SecondR12313K26K39K52K65KSE +/- 220.80, N = 3SE +/- 445.62, N = 3SE +/- 283.31, N = 360703.7360082.6760345.611. (CC) gcc options: -O2 -lrt" -lrt

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b EncryptionR12330060090012001500SE +/- 19.58, N = 3SE +/- 15.55, N = 3SE +/- 1.02, N = 31577.51581.41590.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b DecryptionR12330060090012001500SE +/- 11.32, N = 3SE +/- 15.21, N = 3SE +/- 11.68, N = 31577.41586.71559.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b EncryptionR123110220330440550SE +/- 0.99, N = 3SE +/- 0.92, N = 3SE +/- 1.12, N = 3505.1505.4503.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b DecryptionR123110220330440550SE +/- 0.20, N = 3SE +/- 1.59, N = 3SE +/- 1.51, N = 3489.0488.6488.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b EncryptionR12370140210280350SE +/- 0.84, N = 3SE +/- 0.43, N = 3SE +/- 0.35, N = 3313.2314.3315.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b DecryptionR12370140210280350SE +/- 0.48, N = 3SE +/- 0.26, N = 3SE +/- 0.86, N = 3314.8316.0315.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b EncryptionR12330060090012001500SE +/- 6.50, N = 3SE +/- 6.69, N = 3SE +/- 2.40, N = 31304.91287.51285.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b DecryptionR12330060090012001500SE +/- 7.00, N = 3SE +/- 13.32, N = 3SE +/- 6.22, N = 31285.11289.31273.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b EncryptionR123110220330440550SE +/- 0.87, N = 3SE +/- 0.47, N = 3SE +/- 1.01, N = 3505.2506.8506.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b DecryptionR123110220330440550SE +/- 1.22, N = 3SE +/- 1.01, N = 3SE +/- 0.51, N = 3488.7490.5487.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b EncryptionR12370140210280350SE +/- 0.73, N = 3SE +/- 0.57, N = 3SE +/- 0.15, N = 3314.9315.7314.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b DecryptionR12370140210280350SE +/- 0.58, N = 3SE +/- 1.09, N = 3SE +/- 0.48, N = 3315.0315.5315.4

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 BenchmarkR123246810SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 37.247.307.311. Nodejs v12.18.2

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 SuiteR123110K220K330K440K550KSE +/- 498.65, N = 3SE +/- 388.18, N = 3SE +/- 222.67, N = 3529100528447530230

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 SpeedupR1230.29250.5850.87751.171.4625SE +/- 0.01, N = 12SE +/- 0.00, N = 3SE +/- 0.00, N = 31.31.21.31. (CC) gcc options: -fopenmp -O3 -lm

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 MetricR1233K6K9K12K15K1458014562145041. (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

VKMark

VKMark is a collection of Vulkan tests/benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 800 x 600R123400800120016002000SE +/- 7.54, N = 3SE +/- 0.88, N = 3SE +/- 10.20, N = 31676169116701. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1024 x 768R1232004006008001000SE +/- 6.69, N = 3SE +/- 6.11, N = 3SE +/- 4.18, N = 31096109710921. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 1024R123150300450600750SE +/- 0.67, N = 3SE +/- 2.19, N = 3SE +/- 1.53, N = 36936856891. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080R123100200300400500SE +/- 1.76, N = 3SE +/- 0.67, N = 3SE +/- 2.33, N = 34654614631. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleR123306090120150SE +/- 1.71, N = 3SE +/- 1.45, N = 3SE +/- 0.61, N = 3152.68155.24156.011. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleR123306090120150SE +/- 0.49, N = 3SE +/- 1.86, N = 3SE +/- 1.40, N = 3152.24152.38153.251. (CXX) g++ options: -O3 -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUR123510152025SE +/- 0.31, N = 3SE +/- 0.27, N = 3SE +/- 0.23, N = 321.0021.0921.08MIN: 19.61MIN: 20.08MIN: 19.851. (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: CPUR123510152025SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 320.9120.5220.63MIN: 20.39MIN: 20.16MIN: 20.291. (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: CPUR1233691215SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 313.2913.3313.46MIN: 12.99MIN: 13.01MIN: 13.011. (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: CPUR123246810SE +/- 0.06965, N = 15SE +/- 0.09974, N = 3SE +/- 0.10395, N = 157.019526.808096.81423MIN: 6.61MIN: 6.36MIN: 6.351. (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: CPUR123714212835SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 327.8027.7527.30MIN: 27.49MIN: 27.23MIN: 26.981. (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: CPUR123714212835SE +/- 0.32, N = 3SE +/- 0.29, N = 3SE +/- 0.24, N = 329.1529.4029.48MIN: 27.38MIN: 28MIN: 27.971. (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: CPUR123816243240SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 335.3535.6435.80MIN: 33.41MIN: 33.73MIN: 33.941. (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: CPUR123816243240SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 333.8833.5033.47MIN: 33.42MIN: 33.31MIN: 33.251. (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: CPUR123714212835SE +/- 0.29, N = 3SE +/- 0.34, N = 3SE +/- 0.27, N = 332.1131.7031.97MIN: 30.06MIN: 30.17MIN: 30.651. (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: CPUR123612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 326.2026.2226.25MIN: 26.09MIN: 26.12MIN: 26.081. (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: CPUR1234K8K12K16K20KSE +/- 29.30, N = 3SE +/- 51.92, N = 3SE +/- 37.82, N = 320830.520852.020812.2MIN: 20740.9MIN: 20691.5MIN: 20694.51. (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: CPUR1232K4K6K8K10KSE +/- 48.62, N = 3SE +/- 15.69, N = 3SE +/- 44.20, N = 311261.411332.211243.5MIN: 11146.6MIN: 11227.9MIN: 11158.21. (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: CPUR1234K8K12K16K20KSE +/- 16.92, N = 3SE +/- 36.91, N = 3SE +/- 5.57, N = 320853.020912.720847.7MIN: 20801.4MIN: 20792.3MIN: 20792.31. (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: u8s8f32 - Engine: CPUR1232K4K6K8K10KSE +/- 25.05, N = 3SE +/- 15.94, N = 3SE +/- 18.25, N = 311297.411316.911200.4MIN: 11225.5MIN: 11169.5MIN: 11129.91. (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: CPUR1233691215SE +/- 0.04347, N = 3SE +/- 0.02320, N = 3SE +/- 0.13687, N = 410.109409.1228710.07928MIN: 9.65MIN: 8.62MIN: 9.141. (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: CPUR1234K8K12K16K20KSE +/- 20.57, N = 3SE +/- 9.04, N = 3SE +/- 3.46, N = 320903.320853.420858.0MIN: 20835.5MIN: 20778.6MIN: 20799.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUR1232K4K6K8K10KSE +/- 65.97, N = 3SE +/- 44.81, N = 3SE +/- 13.64, N = 311309.111320.111214.9MIN: 11154.3MIN: 11234.3MIN: 11171.51. (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: CPUR12348121620SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 315.4515.5415.56MIN: 14.57MIN: 14.82MIN: 14.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: mobilenetR1231428425670SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 361.4961.3861.61MIN: 61.05 / MAX: 63.53MIN: 61.05 / MAX: 87.54MIN: 61.11 / MAX: 113.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2R12348121620SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 314.5514.4414.53MIN: 14.04 / MAX: 28.86MIN: 14.04 / MAX: 16.1MIN: 13.97 / MAX: 26.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3R1233691215SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.19, N = 312.6312.5612.65MIN: 12.19 / MAX: 14.68MIN: 12.21 / MAX: 15.08MIN: 12.18 / MAX: 14.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2R123510152025SE +/- 0.57, N = 3SE +/- 0.63, N = 3SE +/- 0.57, N = 321.4021.3421.30MIN: 20.12 / MAX: 23.22MIN: 20 / MAX: 24.44MIN: 20.01 / MAX: 23.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetR12348121620SE +/- 0.37, N = 3SE +/- 0.41, N = 3SE +/- 0.40, N = 314.2614.0514.16MIN: 13.24 / MAX: 17.01MIN: 13.01 / MAX: 18.86MIN: 13.06 / MAX: 28.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0R123510152025SE +/- 0.41, N = 3SE +/- 0.35, N = 3SE +/- 0.39, N = 322.5022.1122.30MIN: 20.99 / MAX: 25.9MIN: 20.59 / MAX: 33.72MIN: 21.02 / MAX: 25.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceR1231.2692.5383.8075.0766.345SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.645.625.63MIN: 5.57 / MAX: 5.86MIN: 5.54 / MAX: 6.01MIN: 5.5 / MAX: 5.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetR1231122334455SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 347.1847.0147.16MIN: 46.85 / MAX: 56.58MIN: 46.74 / MAX: 49.94MIN: 46.7 / MAX: 59.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16R123306090120150SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.19, N = 3153.18152.88152.91MIN: 152.21 / MAX: 161.01MIN: 151.28 / MAX: 160.12MIN: 151.95 / MAX: 164.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18R1231020304050SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.03, N = 345.5145.6545.51MIN: 45.16 / MAX: 47.35MIN: 45.26 / MAX: 56.06MIN: 45.23 / MAX: 48.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetR123918273645SE +/- 0.18, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 336.8437.0236.81MIN: 35.27 / MAX: 39.39MIN: 35.32 / MAX: 103.85MIN: 34.96 / MAX: 79.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50R12320406080100SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3101.11101.17101.01MIN: 100.49 / MAX: 113.37MIN: 100.65 / MAX: 111.1MIN: 100.5 / MAX: 114.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyR12320406080100SE +/- 0.27, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 379.4479.0478.88MIN: 78.27 / MAX: 87.18MIN: 78.34 / MAX: 85.24MIN: 78.2 / MAX: 90.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdR1231632486480SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 371.3371.0371.26MIN: 70.87 / MAX: 74.75MIN: 70.28 / MAX: 76.92MIN: 70.52 / MAX: 78.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mR123714212835SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 327.8227.7227.64MIN: 27.57 / MAX: 37.34MIN: 27.48 / MAX: 31MIN: 27.49 / MAX: 29.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetR1231428425670SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 361.5561.4161.47MIN: 61.05 / MAX: 64.2MIN: 61.02 / MAX: 63.86MIN: 61.15 / MAX: 64.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2R12348121620SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 314.5614.4714.54MIN: 14.07 / MAX: 17.44MIN: 14.06 / MAX: 28.34MIN: 14.01 / MAX: 17.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3R1233691215SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 312.6912.5712.61MIN: 12.21 / MAX: 24.64MIN: 12.24 / MAX: 14.08MIN: 12.23 / MAX: 13.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2R123510152025SE +/- 0.37, N = 3SE +/- 0.58, N = 3SE +/- 0.57, N = 321.5321.3621.21MIN: 20.55 / MAX: 22.52MIN: 19.98 / MAX: 35.94MIN: 19.96 / MAX: 25.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetR12348121620SE +/- 0.26, N = 3SE +/- 0.47, N = 3SE +/- 0.45, N = 314.4514.1313.98MIN: 13.46 / MAX: 16.94MIN: 13.1 / MAX: 14.93MIN: 13.03 / MAX: 14.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0R123510152025SE +/- 0.30, N = 3SE +/- 0.66, N = 3SE +/- 0.59, N = 322.4621.9722.01MIN: 21.52 / MAX: 24.07MIN: 20.55 / MAX: 27.24MIN: 20.61 / MAX: 33.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceR1231.27132.54263.81395.08526.3565SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 35.655.485.47MIN: 5.56 / MAX: 7.88MIN: 5.14 / MAX: 5.72MIN: 5.12 / MAX: 5.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetR1231122334455SE +/- 0.16, N = 3SE +/- 0.81, N = 3SE +/- 0.77, N = 347.3346.2646.70MIN: 46.92 / MAX: 49.74MIN: 43.6 / MAX: 59.76MIN: 44.45 / MAX: 57.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16R123306090120150SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.31, N = 3153.00152.98152.93MIN: 151.95 / MAX: 164.37MIN: 152.01 / MAX: 164.13MIN: 151.38 / MAX: 166.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18R1231020304050SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 345.6445.4145.73MIN: 45.25 / MAX: 47.78MIN: 45.11 / MAX: 48.07MIN: 45.08 / MAX: 48.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetR123918273645SE +/- 0.27, N = 3SE +/- 0.23, N = 3SE +/- 0.12, N = 337.0836.7036.76MIN: 34.94 / MAX: 39.37MIN: 35.28 / MAX: 38.63MIN: 35.25 / MAX: 46.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50R12320406080100SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.28, N = 3101.55101.22101.23MIN: 100.72 / MAX: 112.98MIN: 100.01 / MAX: 110.27MIN: 100.55 / MAX: 114.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyR12320406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 379.3578.9079.12MIN: 78.46 / MAX: 91.83MIN: 78.21 / MAX: 91.76MIN: 78.31 / MAX: 86.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdR1231632486480SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 371.2370.9771.18MIN: 70.8 / MAX: 121.35MIN: 70.58 / MAX: 80.98MIN: 70.63 / MAX: 78.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mR123714212835SE +/- 0.07, N = 3SE +/- 0.60, N = 3SE +/- 0.53, N = 327.8127.1327.25MIN: 26.38 / MAX: 30.33MIN: 25.79 / MAX: 37.93MIN: 26 / MAX: 29.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: HighestR12348121620SE +/- 0.14, N = 13SE +/- 0.23, N = 4SE +/- 0.27, N = 316.1516.1816.211. (CXX) g++ options: -O3 -O2 -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: HighestR12348121620SE +/- 0.20, N = 13SE +/- 0.26, N = 3SE +/- 0.28, N = 316.1916.2216.241. (CXX) g++ options: -O3 -O2 -lpthread -ldl

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 SearchR123306090120150SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3129.01129.09129.221. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAR12348121620SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 317.0117.2017.371. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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 CompileR12370140210280350SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 3341.93340.64340.20

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 CompileR1232004006008001000SE +/- 0.32, N = 3SE +/- 0.55, N = 3SE +/- 0.82, N = 3919.50918.46906.25

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 CompileR123306090120150SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3116.41116.86116.04

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 APER12348121620SE +/- 0.06, N = 5SE +/- 0.06, N = 5SE +/- 0.04, N = 516.8516.8416.871. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

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 OggR123714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 327.9627.9427.921. (CC) gcc options: -O2 -ffast-math -fsigned-char

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 EncodeR1233691215SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.04, N = 510.8910.9010.921. (CXX) g++ options: -fvisibility=hidden -logg -lm

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 1,000R12320406080100SE +/- 0.57, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 395.5894.5895.191. (CC) gcc options: -O2 -ldl -lz -lpthread

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 WavPackR123510152025SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 518.9518.9518.951. (CXX) g++ options: -rdynamic

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.xzR123612182430SE +/- 0.33, N = 6SE +/- 0.32, N = 6SE +/- 0.16, N = 1927.4627.4027.36

97 Results Shown

VkFFT
Libplacebo:
  deband_heavy
  polar_nocompute
  hdr_peakdetect
  av1_grain_lap
Warsow:
  1280 x 1024
  1920 x 1080
simdjson:
  Kostya
  LargeRand
  PartialTweets
  DistinctUserID
Cryptsetup:
  PBKDF2-sha512
  PBKDF2-whirlpool
Coremark
Cryptsetup:
  AES-XTS 256b Encryption
  AES-XTS 256b Decryption
  Serpent-XTS 256b Encryption
  Serpent-XTS 256b Decryption
  Twofish-XTS 256b Encryption
  Twofish-XTS 256b Decryption
  AES-XTS 512b Encryption
  AES-XTS 512b Decryption
  Serpent-XTS 512b Encryption
  Serpent-XTS 512b Decryption
  Twofish-XTS 512b Encryption
  Twofish-XTS 512b Decryption
Node.js V8 Web Tooling Benchmark
PHPBench
CLOMP
BRL-CAD
VKMark:
  800 x 600
  1024 x 768
  1280 x 1024
  1920 x 1080
VkResample:
  2x - Double
  2x - Single
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
Betsy GPU Compressor:
  ETC1 - Highest
  ETC2 RGB - Highest
Timed HMMer Search
Timed MAFFT Alignment
Timed FFmpeg Compilation
Build2
Timed Eigen Compilation
Monkey Audio Encoding
Ogg Audio Encoding
Opus Codec Encoding
SQLite Speedtest
WavPack Audio Encoding
Unpacking Firefox