Core i7 9750H EOY

Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and Intel UHD 630 3GB 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 2101014-HA-COREI797566
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Audio Encoding 4 Tests
Bioinformatics 2 Tests
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C/C++ Compiler Tests 5 Tests
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December 31 2020
  4 Hours, 52 Minutes
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December 31 2020
  4 Hours, 49 Minutes
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January 01 2021
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January 01 2021
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Core i7 9750H EOYOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads)Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS)Intel Cannon Lake PCH32GB1000GB Samsung SSD 970 EVO Plus 1TBIntel UHD 630 3GB (1150MHz)Realtek ALC1220Realtek RTL8111/8168/8411 + Intel-AC 9560Ubuntu 20.045.7.0-999-generic (x86_64) 20200530GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.41.2.131GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionCore I7 9750H EOY BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 - itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Run 1Run 2Run 3Run 4Result OverviewPhoronix Test Suite100%102%103%105%Monkey Audio EncodingPHPBenchCoremarkTimed MAFFT AlignmentNCNNSQLite SpeedtestTimed Eigen CompilationCryptsetupOgg Audio EncodingBRL-CADTimed FFmpeg CompilationVkResampleBuild2Unpacking FirefoxOpus Codec EncodingoneDNNTimed HMMer SearchVkFFTWavPack Audio EncodingCLOMP

Core i7 9750H EOYvkfft: brl-cad: VGR Performance Metricbuild2: Time To Compilehmmer: Pfam Database Searchvkresample: 2x - Doublebuild-ffmpeg: Time To Compileonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetbuild-eigen: Time To Compilesqlite-speedtest: Timed Time - Size 1,000clomp: Static OMP Speedupvkresample: 2x - Singlecoremark: CoreMark Size 666 - Iterations Per Secondcryptsetup: Twofish-XTS 512b Decryptioncryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Serpent-XTS 512b Decryptioncryptsetup: Serpent-XTS 512b Encryptioncryptsetup: AES-XTS 512b Decryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: Twofish-XTS 256b Decryptioncryptsetup: Twofish-XTS 256b Encryptioncryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Serpent-XTS 256b Encryptioncryptsetup: AES-XTS 256b Decryptioncryptsetup: AES-XTS 256b Encryptioncryptsetup: PBKDF2-whirlpoolcryptsetup: PBKDF2-sha512onednn: IP Shapes 1D - f32 - CPUphpbench: PHP Benchmark Suiteunpack-firefox: firefox-84.0.source.tar.xzencode-wavpack: WAV To WavPackonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUencode-ogg: WAV To Oggencode-ape: WAV To APEonednn: IP Shapes 1D - u8s8f32 - CPUencode-opus: WAV To Opus Encodeonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUmafft: Multiple Sequence Alignment - LSU RNAonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPURun 1Run 2Run 3Run 4132159947214.409117.2311008.564101.2836341.746403.936362.643427.623457.323421.6016.7124.4233.5137.7115.4218.5569.7818.802.408.695.517.835.366.5523.4316.1824.2233.3737.4615.0118.0269.5218.072.268.355.277.174.755.8623.1774.23062.0712.7461.629213456.102293440.5446.1830.4815.12078.32104.7442442.5828.0811.02307.62359.878058518289126.8016670385618.88214.50810.028689.5949120.19211.0513.226768.5744.100145.7358610.4892.770799.7740216.107017.285712.80195.75257132160253214.836117.1431001.202101.7296404.446328.706382.083454.223418.993443.8116.2824.7933.8637.9815.1518.1469.4318.152.308.395.247.394.986.1023.6616.1224.1633.1937.4314.9917.9169.1918.022.278.335.247.214.725.8823.0575.39162.6912.7464.404211631.576645445.5426.4823.5812.72074.22064.6442.3430.8824.4807.62312.22358.876057317785236.9294872436018.87314.5029.867139.7346320.23411.4223.232318.5744.112675.7745010.7292.768649.7970116.097917.271212.78815.78370131959569214.178117.1811005.070102.0766368.256369.956383.523410.083440.223424.7716.6124.3333.4737.6615.4518.5169.8618.822.388.655.367.415.126.3023.3916.1924.2433.2137.5415.0018.0569.4818.132.268.385.297.184.765.8223.1375.00661.7052.7463.050210367.524032448.4446.2830.9813.82082.92076.4447.3445.2830.8814.82314.62366.978174418299866.8032872253818.93214.5289.897719.5913220.16710.9693.229458.5634.107135.8098310.5292.776049.7970816.099517.234912.82165.82049132259541214.858117.4041014.454102.1246382.786377.376389.883445.593444.933415.6316.7624.3833.4537.7315.4818.5470.0218.862.418.725.497.835.376.5623.3416.1624.2333.4237.4815.0317.9969.3418.012.298.315.217.234.916.0723.2474.26262.3922.7464.961215746.320485436.4435.4824.8809.32078.92115.1438.5433.6822.9809.62312.52357.476484918310496.7942874527518.85514.51010.15569.5395320.42411.6243.223578.5904.087845.7852210.6072.764469.9112416.109017.333312.56085.78336OpenBenchmarking.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 1.1.1Run 3Run 1Run 2Run 430060090012001500SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 313191321132113221. (CXX) g++ options: -O3 -pthread

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricRun 4Run 3Run 1Run 213K26K39K52K65K595415956959947602531. (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 CompileRun 4Run 2Run 1Run 350100150200250SE +/- 0.31, N = 3SE +/- 0.50, N = 3SE +/- 0.35, N = 3SE +/- 0.25, N = 3214.86214.84214.41214.18

Timed HMMer Search

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchRun 4Run 1Run 3Run 2306090120150SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3117.40117.23117.18117.141. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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: DoubleRun 4Run 1Run 3Run 22004006008001000SE +/- 0.88, N = 3SE +/- 4.15, N = 3SE +/- 2.73, N = 3SE +/- 0.13, N = 31014.451008.561005.071001.201. (CXX) g++ options: -O3 -pthread

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 CompileRun 4Run 3Run 2Run 120406080100SE +/- 0.27, N = 3SE +/- 0.40, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3102.12102.08101.73101.28

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURun 2Run 4Run 3Run 114002800420056007000SE +/- 12.16, N = 3SE +/- 20.81, N = 3SE +/- 7.79, N = 3SE +/- 26.71, N = 36404.446382.786368.256341.74MIN: 6340.77MIN: 6299.02MIN: 6328.69MIN: 6254.751. (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: CPURun 1Run 4Run 3Run 214002800420056007000SE +/- 18.98, N = 3SE +/- 17.19, N = 3SE +/- 9.29, N = 3SE +/- 13.20, N = 36403.936377.376369.956328.70MIN: 6326.05MIN: 6330.45MIN: 6301.48MIN: 6288.871. (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: CPURun 4Run 3Run 2Run 114002800420056007000SE +/- 19.20, N = 3SE +/- 38.17, N = 3SE +/- 25.22, N = 3SE +/- 12.24, N = 36389.886383.526382.086362.64MIN: 6310.82MIN: 6259.53MIN: 6294.61MIN: 6320.021. (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: CPURun 2Run 4Run 1Run 37001400210028003500SE +/- 23.16, N = 3SE +/- 5.51, N = 3SE +/- 7.89, N = 3SE +/- 9.95, N = 33454.223445.593427.623410.08MIN: 3391.1MIN: 3407.83MIN: 3392.93MIN: 3353.351. (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: CPURun 1Run 4Run 3Run 27001400210028003500SE +/- 20.71, N = 3SE +/- 1.10, N = 3SE +/- 4.57, N = 3SE +/- 10.03, N = 33457.323444.933440.223418.99MIN: 3398.06MIN: 3415.6MIN: 3388.24MIN: 3391.871. (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: CPURun 2Run 3Run 1Run 47001400210028003500SE +/- 8.62, N = 3SE +/- 10.73, N = 3SE +/- 14.67, N = 3SE +/- 3.92, N = 33443.813424.773421.603415.63MIN: 3400.63MIN: 3395.01MIN: 3374.62MIN: 3390.011. (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: Vulkan GPU - Model: regnety_400mRun 4Run 1Run 3Run 248121620SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.59, N = 316.7616.7116.6116.28MIN: 16.44 / MAX: 19.53MIN: 16.43 / MAX: 19.77MIN: 16.26 / MAX: 20.92MIN: 14.98 / MAX: 19.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdRun 2Run 1Run 4Run 3612182430SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 324.7924.4224.3824.33MIN: 24.43 / MAX: 36MIN: 24.15 / MAX: 35.82MIN: 23.95 / MAX: 35.5MIN: 23.89 / MAX: 35.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyRun 2Run 1Run 3Run 4816243240SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 333.8633.5133.4733.45MIN: 32.71 / MAX: 44.51MIN: 33.23 / MAX: 44.41MIN: 33.21 / MAX: 44MIN: 32.66 / MAX: 46.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50Run 2Run 4Run 1Run 3918273645SE +/- 0.29, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 337.9837.7337.7137.66MIN: 33.68 / MAX: 49.65MIN: 36.87 / MAX: 42.94MIN: 36.79 / MAX: 49.82MIN: 36.88 / MAX: 61.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetRun 4Run 3Run 1Run 248121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.42, N = 315.4815.4515.4215.15MIN: 15.27 / MAX: 18.81MIN: 15.23 / MAX: 27.92MIN: 15.21 / MAX: 26.35MIN: 14.28 / MAX: 24.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18Run 1Run 4Run 3Run 2510152025SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.60, N = 318.5518.5418.5118.14MIN: 18.17 / MAX: 40.98MIN: 18.33 / MAX: 21.98MIN: 18.31 / MAX: 22.04MIN: 16.78 / MAX: 30.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16Run 4Run 3Run 1Run 21632486480SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.91, N = 370.0269.8669.7869.43MIN: 69.53 / MAX: 93.37MIN: 69.45 / MAX: 91.5MIN: 69.46 / MAX: 81.23MIN: 67.3 / MAX: 104.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetRun 4Run 3Run 1Run 2510152025SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.81, N = 318.8618.8218.8018.15MIN: 17.89 / MAX: 30.52MIN: 17.95 / MAX: 30.43MIN: 18.57 / MAX: 22.25MIN: 16.4 / MAX: 21.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceRun 4Run 1Run 3Run 20.54231.08461.62692.16922.7115SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 32.412.402.382.30MIN: 2.35 / MAX: 2.48MIN: 2.34 / MAX: 3.15MIN: 2.33 / MAX: 2.46MIN: 2.03 / MAX: 3.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0Run 4Run 1Run 3Run 2246810SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.39, N = 38.728.698.658.39MIN: 8.4 / MAX: 21.56MIN: 8.49 / MAX: 9.23MIN: 8.49 / MAX: 12.07MIN: 7.55 / MAX: 20.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetRun 1Run 4Run 3Run 21.23982.47963.71944.95926.199SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.30, N = 35.515.495.365.24MIN: 5.16 / MAX: 19.28MIN: 5.29 / MAX: 7.23MIN: 4.65 / MAX: 9.92MIN: 4.59 / MAX: 7.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2Run 4Run 1Run 3Run 2246810SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.44, N = 3SE +/- 0.41, N = 37.837.837.417.39MIN: 7.55 / MAX: 11.43MIN: 7.61 / MAX: 9.86MIN: 6.45 / MAX: 19.52MIN: 6.41 / MAX: 21.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Run 4Run 1Run 3Run 21.20832.41663.62494.83326.0415SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.22, N = 3SE +/- 0.24, N = 35.375.365.124.98MIN: 5.24 / MAX: 7.07MIN: 5.24 / MAX: 7.47MIN: 4.61 / MAX: 6.87MIN: 4.63 / MAX: 7.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Run 4Run 1Run 3Run 2246810SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.26, N = 36.566.556.306.10MIN: 6.33 / MAX: 10.24MIN: 6.32 / MAX: 9.95MIN: 5.74 / MAX: 9.41MIN: 5.68 / MAX: 8.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetRun 2Run 1Run 3Run 4612182430SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 323.6623.4323.3923.34MIN: 22.8 / MAX: 37.21MIN: 21.91 / MAX: 34.62MIN: 22.81 / MAX: 35.57MIN: 22.75 / MAX: 36.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mRun 3Run 1Run 4Run 248121620SE +/- 0.54, N = 3SE +/- 0.54, N = 3SE +/- 0.44, N = 3SE +/- 0.49, N = 316.1916.1816.1616.12MIN: 14.99 / MAX: 19.01MIN: 14.99 / MAX: 20.99MIN: 15.08 / MAX: 27.26MIN: 15.04 / MAX: 28.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdRun 3Run 4Run 1Run 2612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 324.2424.2324.2224.16MIN: 24 / MAX: 27.39MIN: 24.02 / MAX: 26.28MIN: 23.95 / MAX: 34.27MIN: 24.01 / MAX: 27.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyRun 4Run 1Run 3Run 2816243240SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 333.4233.3733.2133.19MIN: 32.68 / MAX: 44.68MIN: 32.64 / MAX: 55.85MIN: 32.65 / MAX: 40.32MIN: 32.66 / MAX: 46.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Run 3Run 4Run 1Run 2918273645SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 337.5437.4837.4637.43MIN: 36.85 / MAX: 49.57MIN: 36.87 / MAX: 50.24MIN: 36.82 / MAX: 40.77MIN: 36.5 / MAX: 51.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetRun 4Run 1Run 3Run 248121620SE +/- 0.36, N = 3SE +/- 0.38, N = 3SE +/- 0.35, N = 3SE +/- 0.35, N = 315.0315.0115.0014.99MIN: 14.24 / MAX: 25.99MIN: 14.18 / MAX: 15.71MIN: 14.24 / MAX: 18.29MIN: 14.24 / MAX: 24.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Run 3Run 1Run 4Run 248121620SE +/- 0.48, N = 3SE +/- 0.54, N = 3SE +/- 0.51, N = 3SE +/- 0.54, N = 318.0518.0217.9917.91MIN: 16.77 / MAX: 29.51MIN: 16.77 / MAX: 28.42MIN: 16.77 / MAX: 20.61MIN: 16.71 / MAX: 23.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Run 1Run 3Run 4Run 21530456075SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.63, N = 3SE +/- 0.15, N = 369.5269.4869.3469.19MIN: 67.25 / MAX: 80.64MIN: 67.44 / MAX: 83.1MIN: 67.44 / MAX: 82.12MIN: 67.17 / MAX: 78.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetRun 3Run 1Run 2Run 448121620SE +/- 0.69, N = 3SE +/- 0.77, N = 3SE +/- 0.76, N = 3SE +/- 0.70, N = 318.1318.0718.0218.01MIN: 16.51 / MAX: 22.3MIN: 16.36 / MAX: 29.81MIN: 16.35 / MAX: 32.15MIN: 16.42 / MAX: 22.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceRun 4Run 2Run 3Run 10.51531.03061.54592.06122.5765SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 32.292.272.262.26MIN: 1.99 / MAX: 13.86MIN: 1.99 / MAX: 12.5MIN: 1.99 / MAX: 2.47MIN: 1.99 / MAX: 2.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Run 3Run 1Run 2Run 4246810SE +/- 0.35, N = 3SE +/- 0.36, N = 3SE +/- 0.34, N = 3SE +/- 0.33, N = 38.388.358.338.31MIN: 7.57 / MAX: 12.25MIN: 7.58 / MAX: 10.85MIN: 7.59 / MAX: 12.2MIN: 7.57 / MAX: 10.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetRun 3Run 1Run 2Run 41.19032.38063.57094.76125.9515SE +/- 0.33, N = 3SE +/- 0.28, N = 3SE +/- 0.29, N = 3SE +/- 0.27, N = 35.295.275.245.21MIN: 4.57 / MAX: 17.96MIN: 4.62 / MAX: 9.13MIN: 4.6 / MAX: 7.38MIN: 4.62 / MAX: 7.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Run 4Run 2Run 3Run 1246810SE +/- 0.39, N = 3SE +/- 0.37, N = 3SE +/- 0.35, N = 3SE +/- 0.35, N = 37.237.217.187.17MIN: 6.39 / MAX: 9.61MIN: 6.38 / MAX: 12.35MIN: 6.43 / MAX: 20.32MIN: 6.36 / MAX: 13.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Run 4Run 3Run 1Run 21.10482.20963.31444.41925.524SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.914.764.754.72MIN: 4.62 / MAX: 7.08MIN: 4.65 / MAX: 6.29MIN: 4.65 / MAX: 6.65MIN: 4.6 / MAX: 7.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Run 4Run 2Run 1Run 3246810SE +/- 0.23, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.075.885.865.82MIN: 5.67 / MAX: 17.34MIN: 5.67 / MAX: 17.36MIN: 5.72 / MAX: 7.36MIN: 5.67 / MAX: 8.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetRun 4Run 1Run 3Run 2612182430SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 323.2423.1723.1323.05MIN: 22.8 / MAX: 34.1MIN: 22.8 / MAX: 26.58MIN: 22.78 / MAX: 26.54MIN: 22.78 / MAX: 26.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 CompileRun 2Run 3Run 4Run 120406080100SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 375.3975.0174.2674.23

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 1,000Run 2Run 4Run 1Run 31428425670SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 362.6962.3962.0761.711. (CC) gcc options: -O2 -ldl -lz -lpthread

CLOMP

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

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupRun 1Run 2Run 3Run 40.60751.2151.82252.433.0375SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.72.72.72.71. (CC) gcc options: -fopenmp -O3 -lm

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: SingleRun 4Run 2Run 3Run 1100200300400500SE +/- 0.28, N = 3SE +/- 0.33, N = 3SE +/- 0.19, N = 3SE +/- 0.13, N = 3464.96464.40463.05461.631. (CXX) g++ options: -O3 -pthread

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 SecondRun 3Run 2Run 1Run 450K100K150K200K250KSE +/- 1572.50, N = 3SE +/- 428.07, N = 3SE +/- 2550.57, N = 3SE +/- 1011.06, N = 3210367.52211631.58213456.10215746.321. (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 BetterCryptsetupTwofish-XTS 512b DecryptionRun 4Run 1Run 2Run 3100200300400500SE +/- 8.57, N = 3SE +/- 10.81, N = 3SE +/- 4.74, N = 3SE +/- 6.04, N = 3436.4440.5445.5448.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b EncryptionRun 2Run 4Run 1Run 3100200300400500SE +/- 11.67, N = 3SE +/- 10.19, N = 3SE +/- 2.54, N = 3SE +/- 3.92, N = 3426.4435.4446.1446.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b DecryptionRun 2Run 4Run 1Run 32004006008001000SE +/- 4.94, N = 3SE +/- 4.45, N = 3SE +/- 1.59, N = 3SE +/- 0.97, N = 3823.5824.8830.4830.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b EncryptionRun 4Run 2Run 3Run 12004006008001000SE +/- 3.44, N = 3SE +/- 1.43, N = 3SE +/- 0.48, N = 3SE +/- 1.12, N = 3809.3812.7813.8815.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b DecryptionRun 2Run 1Run 4Run 3400800120016002000SE +/- 4.43, N = 3SE +/- 7.85, N = 3SE +/- 8.81, N = 3SE +/- 2.92, N = 32074.22078.32078.92082.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b EncryptionRun 2Run 3Run 1Run 45001000150020002500SE +/- 38.22, N = 3SE +/- 46.45, N = 3SE +/- 7.18, N = 3SE +/- 7.16, N = 32064.62076.42104.72115.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b DecryptionRun 4Run 1Run 2Run 3100200300400500SE +/- 8.35, N = 3SE +/- 7.84, N = 3SE +/- 6.85, N = 3SE +/- 6.93, N = 3438.5442.0442.3447.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b EncryptionRun 2Run 4Run 1Run 3100200300400500SE +/- 10.07, N = 3SE +/- 9.61, N = 3SE +/- 5.35, N = 3SE +/- 4.65, N = 3430.8433.6442.5445.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b DecryptionRun 4Run 2Run 1Run 32004006008001000SE +/- 6.17, N = 3SE +/- 2.80, N = 3SE +/- 0.81, N = 3SE +/- 1.31, N = 3822.9824.4828.0830.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b EncryptionRun 2Run 4Run 1Run 32004006008001000SE +/- 3.18, N = 3SE +/- 4.68, N = 3SE +/- 3.15, N = 3SE +/- 0.85, N = 3807.6809.6811.0814.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b DecryptionRun 1Run 2Run 4Run 35001000150020002500SE +/- 8.91, N = 3SE +/- 6.84, N = 3SE +/- 7.50, N = 3SE +/- 2.97, N = 32307.62312.22312.52314.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b EncryptionRun 4Run 2Run 1Run 35001000150020002500SE +/- 9.78, N = 3SE +/- 9.33, N = 3SE +/- 9.61, N = 3SE +/- 5.73, N = 32357.42358.82359.82366.9

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolRun 2Run 4Run 1Run 3200K400K600K800K1000KSE +/- 736.33, N = 3SE +/- 18853.30, N = 3SE +/- 1689.92, N = 3SE +/- 1028.82, N = 3760573764849780585781744

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512Run 2Run 1Run 3Run 4400K800K1200K1600K2000KSE +/- 15473.88, N = 3SE +/- 1062.67, N = 3SE +/- 3199.33, N = 3SE +/- 2822.26, N = 31778523182891218299861831049

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: CPURun 2Run 3Run 1Run 4246810SE +/- 0.01289, N = 3SE +/- 0.05391, N = 14SE +/- 0.01210, N = 3SE +/- 0.01427, N = 36.929486.803286.801666.79428MIN: 5.87MIN: 5.3MIN: 5.74MIN: 5.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 SuiteRun 1Run 3Run 2Run 4160K320K480K640K800KSE +/- 10003.74, N = 3SE +/- 2965.05, N = 3SE +/- 3349.76, N = 3SE +/- 1307.68, N = 3703856722538724360745275

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.xzRun 3Run 1Run 2Run 4510152025SE +/- 0.06, N = 4SE +/- 0.06, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 418.9318.8818.8718.86

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 WavPackRun 3Run 4Run 1Run 248121620SE +/- 0.02, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 514.5314.5114.5114.501. (CXX) g++ options: -rdynamic

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPURun 4Run 1Run 3Run 23691215SE +/- 0.02385, N = 3SE +/- 0.09774, N = 3SE +/- 0.02224, N = 3SE +/- 0.03232, N = 310.1556010.028689.897719.86713MIN: 8.06MIN: 7.81MIN: 7.78MIN: 7.761. (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: CPURun 2Run 1Run 3Run 43691215SE +/- 0.01778, N = 3SE +/- 0.06881, N = 3SE +/- 0.10858, N = 3SE +/- 0.07559, N = 39.734639.594919.591329.53953MIN: 8.39MIN: 8.55MIN: 8.53MIN: 8.541. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 OggRun 4Run 2Run 1Run 3510152025SE +/- 0.26, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 320.4220.2320.1920.171. (CC) gcc options: -O2 -ffast-math -fsigned-char

Monkey Audio Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APERun 4Run 2Run 1Run 33691215SE +/- 0.09, N = 5SE +/- 0.04, N = 5SE +/- 0.04, N = 5SE +/- 0.02, N = 511.6211.4211.0510.971. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

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: u8s8f32 - Engine: CPURun 2Run 3Run 1Run 40.72731.45462.18192.90923.6365SE +/- 0.01078, N = 3SE +/- 0.00749, N = 3SE +/- 0.00484, N = 3SE +/- 0.00785, N = 33.232313.229453.226763.22357MIN: 2.63MIN: 2.62MIN: 2.62MIN: 2.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 EncodeRun 4Run 2Run 1Run 3246810SE +/- 0.011, N = 5SE +/- 0.003, N = 5SE +/- 0.002, N = 5SE +/- 0.003, N = 58.5908.5748.5748.5631. (CXX) g++ options: -fvisibility=hidden -logg -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURun 2Run 3Run 1Run 40.92541.85082.77623.70164.627SE +/- 0.00554, N = 3SE +/- 0.01007, N = 3SE +/- 0.00387, N = 3SE +/- 0.00557, N = 34.112674.107134.100144.08784MIN: 4.01MIN: 4.01MIN: 4.01MIN: 41. (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: CPURun 3Run 4Run 2Run 11.30722.61443.92165.22886.536SE +/- 0.00559, N = 3SE +/- 0.00883, N = 3SE +/- 0.01018, N = 3SE +/- 0.01607, N = 35.809835.785225.774505.73586MIN: 4.89MIN: 4.9MIN: 4.85MIN: 4.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed MAFFT Alignment

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARun 2Run 4Run 3Run 13691215SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 310.7310.6110.5310.491. (CC) gcc options: -std=c99 -O3 -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURun 3Run 1Run 2Run 40.62461.24921.87382.49843.123SE +/- 0.00532, N = 3SE +/- 0.00676, N = 3SE +/- 0.00726, N = 3SE +/- 0.00419, N = 32.776042.770792.768642.76446MIN: 2.62MIN: 2.62MIN: 2.61MIN: 2.611. (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: CPURun 4Run 3Run 2Run 13691215SE +/- 0.00660, N = 3SE +/- 0.01833, N = 3SE +/- 0.01052, N = 3SE +/- 0.02638, N = 39.911249.797089.797019.77402MIN: 9.71MIN: 9.63MIN: 9.59MIN: 9.61. (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: CPURun 4Run 1Run 3Run 248121620SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 316.1116.1116.1016.10MIN: 15.78MIN: 15.86MIN: 15.79MIN: 15.781. (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: CPURun 4Run 1Run 2Run 348121620SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 317.3317.2917.2717.23MIN: 17.13MIN: 17.1MIN: 17.11MIN: 17.111. (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: f32 - Engine: CPURun 3Run 1Run 2Run 43691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 1512.8212.8012.7912.56MIN: 10.53MIN: 10.51MIN: 10.49MIN: 10.481. (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: CPURun 3Run 2Run 4Run 11.30962.61923.92885.23846.548SE +/- 0.00647, N = 3SE +/- 0.05534, N = 12SE +/- 0.00722, N = 3SE +/- 0.00709, N = 35.820495.783705.783365.75257MIN: 4.73MIN: 4.72MIN: 4.8MIN: 4.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

80 Results Shown

VkFFT
BRL-CAD
Build2
Timed HMMer Search
VkResample
Timed FFmpeg Compilation
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
NCNN:
  Vulkan GPU - regnety_400m
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - resnet50
  Vulkan GPU - alexnet
  Vulkan GPU - resnet18
  Vulkan GPU - vgg16
  Vulkan GPU - googlenet
  Vulkan GPU - blazeface
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - mnasnet
  Vulkan GPU - shufflenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - mobilenet
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
Timed Eigen Compilation
SQLite Speedtest
CLOMP
VkResample
Coremark
Cryptsetup:
  Twofish-XTS 512b Decryption
  Twofish-XTS 512b Encryption
  Serpent-XTS 512b Decryption
  Serpent-XTS 512b Encryption
  AES-XTS 512b Decryption
  AES-XTS 512b Encryption
  Twofish-XTS 256b Decryption
  Twofish-XTS 256b Encryption
  Serpent-XTS 256b Decryption
  Serpent-XTS 256b Encryption
  AES-XTS 256b Decryption
  AES-XTS 256b Encryption
  PBKDF2-whirlpool
  PBKDF2-sha512
oneDNN
PHPBench
Unpacking Firefox
WavPack Audio Encoding
oneDNN:
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
Ogg Audio Encoding
Monkey Audio Encoding
oneDNN
Opus Codec Encoding
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
Timed MAFFT Alignment
oneDNN:
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 3D - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU