Xeon E3-1245 v5 Ubuntu Linux 5.4

Intel Xeon E3-1245 v5 testing with a MSI C236A WORKSTATION (MS-7998) v1.0 (2.90 BIOS) and MSI Intel HD P530 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 2010041-FI-XEONE312446
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Linux 5.4
October 02 2020
  17 Hours, 38 Minutes
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October 03 2020
  17 Hours, 28 Minutes
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October 03 2020
  17 Hours, 34 Minutes
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Xeon E3-1245 v5 Ubuntu Linux 5.4ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionVulkanLinux 5.4Linux 5.8Linux 5.9 GitIntel Xeon E3-1245 v5 @ 3.90GHz (4 Cores / 8 Threads)MSI C236A WORKSTATION (MS-7998) v1.0 (2.90 BIOS)Intel Xeon E3-1200 v5/E3-150032GB120GB Samsung SSD 850MSI Intel HD P530 3GB (1150MHz)Realtek ALC1150LG Ultra HDIntel I219-VUbuntu 20.045.4.0-37-generic (x86_64)GNOME Shell 3.36.2X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4GCC 9.3.0ext43840x21605.8.13-050813-generic (x86_64)1.2.1315.9.0-050900rc7daily20201003-generic (x86_64) 20201002GNOME Shell 3.36.4OpenBenchmarking.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,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_pstate powersave - CPU Microcode: 0xdcPython Details- Python 3.8.2Security Details- Linux 5.4: 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 + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - Linux 5.8: 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 - Linux 5.9 Git: 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

Linux 5.4Linux 5.8Linux 5.9 GitLogarithmic Result OverviewPhoronix Test Suite 10.2.2RealSR-NCNNGLmark2Apache CouchDBLeelaChessZeroNCNNKeyDBCraftyInfluxDBDeepSpeechSystem GZIP DecompressionMlpack BenchmarkTimed GDB GNU Debugger CompilationeSpeak-NG Speech EngineVkFFTMontage Astronomical Image Mosaic EngineHuginBYTE Unix BenchmarkMobile Neural Networklibavif avifencRNNoiseTimed Apache CompilationTSCPXZ CompressiononeDNNTesseract OCRECP-CANDLETimed Linux Kernel CompilationGPAWDolfynRodiniaLAMMPS Molecular Dynamics SimulatorLibRawGROMACSMPVFFTETNNAOM AV1NAMDMonte Carlo Simulations of Ionised NebulaeASTC EncoderOCRMyPDFTimed MAFFT AlignmentZstd CompressionWebP Image EncodeKripkeAI Benchmark AlphaTimed HMMer SearchHierarchical INTegrationTensorFlow LiteIncompact3DTimed LLVM CompilationBlenderCaffe

Xeon E3-1245 v5 Ubuntu Linux 5.4vkfft: mpv: Big Buck Bunny Sunflower 1080p - Software Onlympv: Big Buck Bunny Sunflower 4K - Software Onlyaom-av1: Speed 4 Two-Passaom-av1: Speed 8 Realtimeaom-av1: Speed 0 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passbyte: Dhrystone 2compress-zstd: 3compress-zstd: 19ffte: N=256, 3D Complex FFT Routinelibraw: Post-Processing Benchmarklczero: Eigenlczero: BLAStscp: AI Chess Performancecrafty: Elapsed Timegromacs: Water Benchmarklammps: Rhodopsin Proteinkeydb: hint: FLOATai-benchmark: Device Training Scoreai-benchmark: Device Inference Scoreai-benchmark: Device AI Scoreglmark2: 3840 x 2160glmark2: 1920 x 1080kripke: influxdb: 1024 - 10000 - 2,5000,1 - 10000influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000namd: ATPase Simulation - 327,506 Atomswebp: Quality 100, Lossless, Highest Compressionwebp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Defaultwebp: Quality 100tensorflow-lite: NASNet Mobiletensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4caffe: AlexNet - CPU - 200caffe: AlexNet - CPU - 100caffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 100ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0ncnn: CPU - resnet18onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUncnn: CPU - resnet50ncnn: Vulkan GPU - googlenettnn: CPU - SqueezeNet v1.1tnn: CPU - MobileNet v2ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - blazefacencnn: CPU - yolov4-tinyncnn: 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: Vulkan GPU - squeezenetncnn: CPU - alexnetncnn: CPU - squeezenetonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: IP Batch 1D - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUhmmer: Pfam Database Searchecp-candle: P3B1ecp-candle: P1B2blender: Fishy Cat - CPU-Onlyblender: BMW27 - CPU-Onlyecp-candle: P3B2ocrmypdf: Processing 60 Page PDF Documentdolfyn: Computational Fluid Dynamicsrodinia: OpenMP Streamclustermlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressiontesseract-ocr: Time To OCR 7 Imagesrodinia: OpenMP Leukocyterodinia: OpenMP HotSpot3Drodinia: OpenMP LavaMDrodinia: OpenMP CFD Solverbuild-apache: Time To Compileavifenc: 0system-decompress-gzip: hugin: Panorama Photo Assistant + Stitching Timeastcenc: Exhaustiveastcenc: Thoroughastcenc: Mediumastcenc: Fastincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0couchdb: 100 - 1000 - 24rnnoise: avifenc: 2montage: Mosaic of M17, K band, 1.5 deg x 1.5 degespeak: Text-To-Speech Synthesisdeepspeech: CPUcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9build-llvm: Time To Compilebuild-linux-kernel: Time To Compilebuild-gdb: Time To Compilegpaw: Carbon Nanotubeavifenc: 10avifenc: 8realsr-ncnn: 4x - NoLinux 5.4Linux 5.8Linux 5.9 Git1141139.4532.101.8835.820.2214.993.0038538549.12386.020.520328.49517754427.66717797114127775473200.5042.746393603.00381569301.12653733664139713554317835730996459.9870964.9990095.13.8743347.4668.14819.3611.7412.72836694749969433941234899965174207204167133823669423288881646456.5389.3523.082.1710.516.664.6728.947.797.1657562.3087.7485.60156.16410.25523.095.1574846.5042.16344.444366.29789.3487.1157.9436.80214.212.6339.4830.8615.1110.1116.3214.7246.4352.1322.5624.8810.39478.172339.2583718.752919.942649.86093.77996111.11514.3651569.397285.9617.41923125.4301212.78746.128532.49382.67590.04755.53821.42528.73471.1088.3527.864.2927.447254.675118.303570.41447.39332.732182.4563.28273.463578.1772.2611.149.02750.91762312.268305175.79127.870108.05789.55933.93378.5133150.7351493.222199.635159.604598.3207.6008.19917.2411161139.8832.221.8735.570.2214.992.9938513841.42389.320.420258.59621982127.65701678113469374692980.5042.758381234.65381270686.12418733663139611950217866357993437.4814462.2984645.33.8862447.2608.18419.3331.7502.74236691449984533937234897665181377204273133870670673304351651396.5388.9523.032.1410.446.614.6628.857.827.1986762.9317.7885.63856.93410.37323.115.0498046.4535.48346.500366.39379.4575.2551.3031.34206.482.3539.3626.021310.061412.6938.5943.8022.1224.7610.30748.377069.7357918.828519.886250.97123.90177114.23615.1450548.044270.6657.42274125.4951226.03945.575531.91382.25598.28455.39321.47628.73068.1384.7628.124.2427.639256.916118.459568.09447.67132.712182.7883.33974.056578.3072.3211.149.12754.29390412.291304157.30328.130108.40390.69734.25780.6095550.6181490.327199.789157.323597.0937.6398.257283.5001161139.7532.281.8835.650.2214.992.9938169338.82389.020.420335.30933309827.55719779113143073022560.5022.758377603.40381134357.52245733665139813755217848217994952.9805704.5982092.13.8870347.1908.16119.2141.7492.75636707849982533943434943865187937202907133774668883306641651816.5288.8223.072.1510.456.624.6628.847.787.2020362.5617.8005.60557.04410.39623.055.0449246.4635.47346.140366.63179.3375.2749.7831.36205.152.2939.4526.021311.0913.9912.6838.1743.8022.4124.8410.18508.407039.8278618.793519.882250.24473.84716110.71614.7150558.863260.9647.40944125.6601229.3345.976532.18381.93592.26755.50921.53728.70370.0686.1227.874.3327.567258.772118.977566.53247.63133.008183.2253.35574.650578.2272.3711.159.07754.26938912.291304161.47428.088108.95691.03334.58880.0474951.0261493.850200.948160.636602.7907.6788.316283.462OpenBenchmarking.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 2020-09-29Linux 5.4Linux 5.8Linux 5.9 Git2004006008001000SE +/- 0.67, N = 3114111611161
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.4Linux 5.8Linux 5.9 Git2004006008001000Min: 1140 / Avg: 1141.33 / Max: 1142

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9 Git306090120150SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3139.45139.88139.75MIN: 115.16 / MAX: 146.34MIN: 123.1 / MAX: 146.35MIN: 119 / MAX: 146.351. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9 Git306090120150Min: 139.42 / Avg: 139.45 / Max: 139.51Min: 139.76 / Avg: 139.88 / Max: 140.02Min: 139.56 / Avg: 139.75 / Max: 139.941. mpv 0.32.0

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 332.1032.2232.28MIN: 31.41 / MAX: 32.79MIN: 31.25 / MAX: 33.33MIN: 31.58 / MAX: 33.491. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9 Git714212835Min: 32.05 / Avg: 32.1 / Max: 32.14Min: 32.17 / Avg: 32.22 / Max: 32.24Min: 32.24 / Avg: 32.28 / Max: 32.341. mpv 0.32.0

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git0.4230.8461.2691.6922.115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.881.871.881. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 1.88 / Avg: 1.88 / Max: 1.89Min: 1.87 / Avg: 1.87 / Max: 1.88Min: 1.87 / Avg: 1.88 / Max: 1.881. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.4Linux 5.8Linux 5.9 Git816243240SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 335.8235.5735.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.4Linux 5.8Linux 5.9 Git816243240Min: 35.66 / Avg: 35.82 / Max: 35.96Min: 35.48 / Avg: 35.57 / Max: 35.65Min: 35.58 / Avg: 35.65 / Max: 35.741. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git0.04950.0990.14850.1980.2475SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.220.220.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git12345Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.22 / Avg: 0.22 / Max: 0.22Min: 0.22 / Avg: 0.22 / Max: 0.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 314.9914.9914.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.4Linux 5.8Linux 5.9 Git48121620Min: 14.96 / Avg: 14.99 / Max: 15.04Min: 14.95 / Avg: 14.99 / Max: 15.03Min: 14.97 / Avg: 14.99 / Max: 15.011. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git0.6751.352.0252.73.375SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.002.992.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 3 / Avg: 3 / Max: 3.01Min: 2.99 / Avg: 2.99 / Max: 3Min: 2.98 / Avg: 2.99 / Max: 31. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 2Linux 5.4Linux 5.8Linux 5.9 Git8M16M24M32M40MSE +/- 54862.86, N = 3SE +/- 6470.73, N = 3SE +/- 156718.13, N = 338538549.138513841.438169338.8
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4Linux 5.8Linux 5.9 Git7M14M21M28M35MMin: 38435069.4 / Avg: 38538549.07 / Max: 38621892.2Min: 38501253.6 / Avg: 38513841.37 / Max: 38522737.6Min: 37860344.2 / Avg: 38169338.83 / Max: 38369371.3

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.4Linux 5.8Linux 5.9 Git5001000150020002500SE +/- 6.19, N = 3SE +/- 1.97, N = 3SE +/- 1.34, N = 32386.02389.32389.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.4Linux 5.8Linux 5.9 Git400800120016002000Min: 2373.9 / Avg: 2386.03 / Max: 2394.2Min: 2386.1 / Avg: 2389.33 / Max: 2392.9Min: 2386.5 / Avg: 2388.97 / Max: 2391.11. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 320.520.420.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.4Linux 5.8Linux 5.9 Git510152025Min: 20.4 / Avg: 20.47 / Max: 20.5Min: 20.4 / Avg: 20.4 / Max: 20.4Min: 20.3 / Avg: 20.43 / Max: 20.51. (CC) gcc options: -O3 -pthread -lz -llzma

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 RoutineLinux 5.4Linux 5.8Linux 5.9 Git4K8K12K16K20KSE +/- 95.32, N = 3SE +/- 59.99, N = 3SE +/- 64.79, N = 320328.5020258.6020335.311. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8Linux 5.9 Git4K8K12K16K20KMin: 20196.6 / Avg: 20328.5 / Max: 20513.66Min: 20176.64 / Avg: 20258.6 / Max: 20375.47Min: 20212.18 / Avg: 20335.31 / Max: 20431.831. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 327.6627.6527.551. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 27.65 / Avg: 27.66 / Max: 27.68Min: 27.55 / Avg: 27.65 / Max: 27.72Min: 27.49 / Avg: 27.55 / Max: 27.591. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -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: EigenLinux 5.4Linux 5.8Linux 5.9 Git160320480640800SE +/- 5.46, N = 3SE +/- 10.51, N = 9SE +/- 3.28, N = 37177017191. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8Linux 5.9 Git130260390520650Min: 706 / Avg: 716.67 / Max: 724Min: 622 / Avg: 700.56 / Max: 725Min: 713 / Avg: 719.33 / Max: 7241. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.9 Git2004006008001000SE +/- 0.67, N = 3SE +/- 9.24, N = 3SE +/- 2.33, N = 37976787791. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.9 Git140280420560700Min: 796 / Avg: 796.67 / Max: 798Min: 662 / Avg: 678.33 / Max: 694Min: 777 / Avg: 779.33 / Max: 7841. (CXX) g++ options: -flto -pthread

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 1206.41, N = 5SE +/- 1191.39, N = 5SE +/- 1137.79, N = 51141277113469311314301. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KMin: 1137971 / Avg: 1141277 / Max: 1145068Min: 1130960 / Avg: 1134693.4 / Max: 1137971Min: 1128643 / Avg: 1131430 / Max: 11332881. (CC) gcc options: -O3 -march=native

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 TimeLinux 5.4Linux 5.8Linux 5.9 Git1.6M3.2M4.8M6.4M8MSE +/- 35007.79, N = 3SE +/- 23889.21, N = 3SE +/- 21668.21, N = 37547320746929873022561. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeLinux 5.4Linux 5.8Linux 5.9 Git1.3M2.6M3.9M5.2M6.5MMin: 7505088 / Avg: 7547320 / Max: 7616799Min: 7428608 / Avg: 7469298 / Max: 7511330Min: 7267436 / Avg: 7302256 / Max: 73420091. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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 BenchmarkLinux 5.4Linux 5.8Linux 5.9 Git0.11340.22680.34020.45360.567SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 30.5040.5040.5021. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 0.5 / Avg: 0.5 / Max: 0.51Min: 0.5 / Avg: 0.5 / Max: 0.51Min: 0.5 / Avg: 0.5 / Max: 0.511. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.8Linux 5.9 Git0.62061.24121.86182.48243.103SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 32.7462.7582.7581. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 2.74 / Avg: 2.75 / Max: 2.76Min: 2.75 / Avg: 2.76 / Max: 2.77Min: 2.75 / Avg: 2.76 / Max: 2.771. (CXX) g++ options: -O3 -pthread -lm

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 6.0.16Linux 5.4Linux 5.8Linux 5.9 Git80K160K240K320K400KSE +/- 767.36, N = 3SE +/- 387.75, N = 3SE +/- 359.00, N = 3393603.00381234.65377603.401. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.4Linux 5.8Linux 5.9 Git70K140K210K280K350KMin: 392648.16 / Avg: 393603 / Max: 395120.97Min: 380459.4 / Avg: 381234.65 / Max: 381639.66Min: 377042.03 / Avg: 377603.4 / Max: 378271.761. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: FLOATLinux 5.4Linux 5.8Linux 5.9 Git80M160M240M320M400MSE +/- 1362924.61, N = 3SE +/- 293442.33, N = 3SE +/- 715889.13, N = 3381569301.13381270686.12381134357.521. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.8Linux 5.9 Git70M140M210M280M350MMin: 379948764.1 / Avg: 381569301.13 / Max: 384277749.1Min: 380880986.45 / Avg: 381270686.12 / Max: 381845569.95Min: 380079644.88 / Avg: 381134357.52 / Max: 382500270.741. (CC) gcc options: -O3 -march=native -lm

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 Training ScoreLinux 5.4Linux 5.8Linux 5.9 Git160320480640800733733733

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreLinux 5.4Linux 5.8Linux 5.9 Git140280420560700664663665

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreLinux 5.4Linux 5.8Linux 5.9 Git30060090012001500139713961398

GLmark2

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

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160Linux 5.4Linux 5.8Linux 5.9 Git306090120150135119137

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.4Linux 5.8Linux 5.9 Git120240360480600543502552

Kripke

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

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.4Linux 5.8Linux 5.9 Git4M8M12M16M20MSE +/- 15901.03, N = 3SE +/- 59668.65, N = 3SE +/- 85458.77, N = 31783573017866357178482171. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.4Linux 5.8Linux 5.9 Git3M6M9M12M15MMin: 17811750 / Avg: 17835730 / Max: 17865810Min: 17787630 / Avg: 17866356.67 / Max: 17983390Min: 17712740 / Avg: 17848216.67 / Max: 180062001. (CXX) g++ options: -O3 -fopenmp

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 1038.31, N = 3SE +/- 553.23, N = 3SE +/- 2049.30, N = 3996459.9993437.4994952.9
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KMin: 994660 / Avg: 996459.93 / Max: 998256.8Min: 992800.8 / Avg: 993437.37 / Max: 994539.4Min: 992386.9 / Avg: 994952.93 / Max: 999003.7

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 11259.18, N = 12SE +/- 19326.59, N = 12SE +/- 21169.01, N = 12870964.9814462.2805704.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9 Git150K300K450K600K750KMin: 837070.7 / Avg: 870964.9 / Max: 963781.8Min: 745560.5 / Avg: 814462.23 / Max: 957005.7Min: 713219.8 / Avg: 805704.5 / Max: 961865.4

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 1019.70, N = 3SE +/- 2768.93, N = 3SE +/- 4935.24, N = 3990095.1984645.3982092.1
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KMin: 988488.2 / Avg: 990095.07 / Max: 991986.1Min: 979650.1 / Avg: 984645.3 / Max: 989213.4Min: 972609.1 / Avg: 982092.07 / Max: 989205.2

NAMD

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.8Linux 5.9 Git0.87461.74922.62383.49844.373SE +/- 0.00123, N = 3SE +/- 0.00476, N = 3SE +/- 0.00417, N = 33.874333.886243.88703
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 3.87 / Avg: 3.87 / Max: 3.88Min: 3.88 / Avg: 3.89 / Max: 3.9Min: 3.88 / Avg: 3.89 / Max: 3.89

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 347.4747.2647.191. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.4Linux 5.8Linux 5.9 Git1020304050Min: 47.2 / Avg: 47.47 / Max: 47.69Min: 47.18 / Avg: 47.26 / Max: 47.31Min: 47.03 / Avg: 47.19 / Max: 47.351. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.009, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 38.1488.1848.1611. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 8.14 / Avg: 8.15 / Max: 8.17Min: 8.17 / Avg: 8.18 / Max: 8.2Min: 8.13 / Avg: 8.16 / Max: 8.181. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 319.3619.3319.211. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 19.3 / Avg: 19.36 / Max: 19.4Min: 19.31 / Avg: 19.33 / Max: 19.36Min: 19.18 / Avg: 19.21 / Max: 19.231. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.8Linux 5.9 Git0.39380.78761.18141.57521.969SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 31.7411.7501.7491. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 1.74 / Avg: 1.74 / Max: 1.74Min: 1.75 / Avg: 1.75 / Max: 1.75Min: 1.75 / Avg: 1.75 / Max: 1.751. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.4Linux 5.8Linux 5.9 Git0.62011.24021.86032.48043.1005SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 32.7282.7422.7561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.4Linux 5.8Linux 5.9 Git246810Min: 2.73 / Avg: 2.73 / Max: 2.73Min: 2.74 / Avg: 2.74 / Max: 2.75Min: 2.75 / Avg: 2.76 / Max: 2.771. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.8Linux 5.9 Git80K160K240K320K400KSE +/- 60.60, N = 3SE +/- 108.52, N = 3SE +/- 77.03, N = 3366947366914367078
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.8Linux 5.9 Git60K120K180K240K300KMin: 366874 / Avg: 366946.67 / Max: 367067Min: 366744 / Avg: 366914.33 / Max: 367116Min: 366965 / Avg: 367077.67 / Max: 367225

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.4Linux 5.8Linux 5.9 Git110K220K330K440K550KSE +/- 34.51, N = 3SE +/- 53.76, N = 3SE +/- 63.00, N = 3499694499845499825
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.4Linux 5.8Linux 5.9 Git90K180K270K360K450KMin: 499628 / Avg: 499694.33 / Max: 499744Min: 499755 / Avg: 499845.33 / Max: 499941Min: 499707 / Avg: 499825.33 / Max: 499922

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.8Linux 5.9 Git70K140K210K280K350KSE +/- 59.09, N = 3SE +/- 39.28, N = 3SE +/- 48.17, N = 3339412339372339434
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.8Linux 5.9 Git60K120K180K240K300KMin: 339294 / Avg: 339411.67 / Max: 339480Min: 339303 / Avg: 339372.33 / Max: 339439Min: 339379 / Avg: 339434 / Max: 339530

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.8Linux 5.9 Git70K140K210K280K350KSE +/- 72.59, N = 3SE +/- 64.01, N = 3SE +/- 102.05, N = 3348999348976349438
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.8Linux 5.9 Git60K120K180K240K300KMin: 348856 / Avg: 348999.33 / Max: 349091Min: 348854 / Avg: 348975.67 / Max: 349071Min: 349245 / Avg: 349438 / Max: 349592

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.8Linux 5.9 Git1.4M2.8M4.2M5.6M7MSE +/- 634.06, N = 3SE +/- 88.19, N = 3SE +/- 862.41, N = 3651742065181376518793
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.8Linux 5.9 Git1.1M2.2M3.3M4.4M5.5MMin: 6516570 / Avg: 6517420 / Max: 6518660Min: 6517970 / Avg: 6518136.67 / Max: 6518270Min: 6517430 / Avg: 6518793.33 / Max: 6520390

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.8Linux 5.9 Git1.5M3M4.5M6M7.5MSE +/- 250.95, N = 3SE +/- 132.46, N = 3SE +/- 580.35, N = 3720416772042737202907
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.8Linux 5.9 Git1.2M2.4M3.6M4.8M6MMin: 7203840 / Avg: 7204166.67 / Max: 7204660Min: 7204010 / Avg: 7204273.33 / Max: 7204430Min: 7201890 / Avg: 7202906.67 / Max: 7203900

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: 200Linux 5.4Linux 5.8Linux 5.9 Git30K60K90K120K150KSE +/- 12.01, N = 3SE +/- 43.43, N = 3SE +/- 97.27, N = 31338231338701337741. (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: 200Linux 5.4Linux 5.8Linux 5.9 Git20K40K60K80K100KMin: 133799 / Avg: 133823 / Max: 133836Min: 133792 / Avg: 133870.33 / Max: 133942Min: 133593 / Avg: 133774.33 / Max: 1339261. (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: 100Linux 5.4Linux 5.8Linux 5.9 Git14K28K42K56K70KSE +/- 46.52, N = 3SE +/- 13.57, N = 3SE +/- 46.28, N = 36694267067668881. (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: 100Linux 5.4Linux 5.8Linux 5.9 Git12K24K36K48K60KMin: 66874 / Avg: 66942 / Max: 67031Min: 67043 / Avg: 67066.67 / Max: 67090Min: 66836 / Avg: 66887.67 / Max: 669801. (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: 200Linux 5.4Linux 5.8Linux 5.9 Git70K140K210K280K350KSE +/- 211.61, N = 3SE +/- 96.33, N = 3SE +/- 315.26, N = 33288883304353306641. (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: 200Linux 5.4Linux 5.8Linux 5.9 Git60K120K180K240K300KMin: 328519 / Avg: 328887.67 / Max: 329252Min: 330242 / Avg: 330434.67 / Max: 330531Min: 330229 / Avg: 330664.33 / Max: 3312771. (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: 100Linux 5.4Linux 5.8Linux 5.9 Git40K80K120K160K200KSE +/- 195.74, N = 3SE +/- 11.41, N = 3SE +/- 205.69, N = 31646451651391651811. (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: 100Linux 5.4Linux 5.8Linux 5.9 Git30K60K90K120K150KMin: 164273 / Avg: 164644.67 / Max: 164937Min: 165118 / Avg: 165139.33 / Max: 165157Min: 164794 / Avg: 165181.33 / Max: 1654951. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.536.536.52MIN: 6.41 / MAX: 9.17MIN: 6.43 / MAX: 9.7MIN: 6.42 / MAX: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 6.45 / Avg: 6.53 / Max: 6.59Min: 6.53 / Avg: 6.53 / Max: 6.54Min: 6.51 / Avg: 6.52 / Max: 6.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 389.3588.9588.82MIN: 89.05 / MAX: 94.32MIN: 88.67 / MAX: 137.54MIN: 88.53 / MAX: 101.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 89.24 / Avg: 89.35 / Max: 89.46Min: 88.81 / Avg: 88.95 / Max: 89.19Min: 88.69 / Avg: 88.82 / Max: 88.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9 Git612182430SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 323.0823.0323.07MIN: 22.97 / MAX: 26.36MIN: 22.94 / MAX: 23.49MIN: 22.94 / MAX: 35.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 23.03 / Avg: 23.08 / Max: 23.16Min: 23.02 / Avg: 23.03 / Max: 23.03Min: 23.03 / Avg: 23.07 / Max: 23.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9 Git0.48830.97661.46491.95322.4415SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.172.142.15MIN: 2.13 / MAX: 2.29MIN: 2.13 / MAX: 2.24MIN: 2.13 / MAX: 2.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 2.14 / Avg: 2.17 / Max: 2.21Min: 2.14 / Avg: 2.14 / Max: 2.15Min: 2.14 / Avg: 2.15 / Max: 2.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.5110.4410.45MIN: 10.41 / MAX: 11MIN: 10.4 / MAX: 10.76MIN: 10.4 / MAX: 13.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 10.44 / Avg: 10.51 / Max: 10.63Min: 10.44 / Avg: 10.44 / Max: 10.45Min: 10.44 / Avg: 10.45 / Max: 10.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.666.616.62MIN: 6.56 / MAX: 20.23MIN: 6.56 / MAX: 8.52MIN: 6.57 / MAX: 8.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 6.61 / Avg: 6.66 / Max: 6.75Min: 6.6 / Avg: 6.61 / Max: 6.62Min: 6.6 / Avg: 6.62 / Max: 6.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9 Git1.05082.10163.15244.20325.254SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.674.664.66MIN: 4.59 / MAX: 8.01MIN: 4.61 / MAX: 6.54MIN: 4.59 / MAX: 6.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9 Git246810Min: 4.62 / Avg: 4.67 / Max: 4.71Min: 4.63 / Avg: 4.66 / Max: 4.68Min: 4.62 / Avg: 4.66 / Max: 4.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 328.9428.8528.84MIN: 28.7 / MAX: 32.85MIN: 28.7 / MAX: 41.24MIN: 28.67 / MAX: 41.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 28.8 / Avg: 28.94 / Max: 29.08Min: 28.79 / Avg: 28.85 / Max: 28.93Min: 28.75 / Avg: 28.84 / Max: 28.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 37.797.827.78MIN: 7.67 / MAX: 9.99MIN: 7.68 / MAX: 20.52MIN: 7.67 / MAX: 9.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 7.72 / Avg: 7.79 / Max: 7.89Min: 7.78 / Avg: 7.82 / Max: 7.87Min: 7.76 / Avg: 7.78 / Max: 7.81. (CXX) g++ options: -O3 -rdynamic -lgomp -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.00597, N = 3SE +/- 0.01858, N = 3SE +/- 0.01959, N = 37.165757.198677.20203MIN: 7.05MIN: 7.05MIN: 7.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 7.16 / Avg: 7.17 / Max: 7.18Min: 7.17 / Avg: 7.2 / Max: 7.23Min: 7.16 / Avg: 7.2 / Max: 7.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8Linux 5.9 Git1428425670SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.64, N = 362.3162.9362.56MIN: 61.37 / MAX: 84.45MIN: 62.1 / MAX: 89.18MIN: 60.97 / MAX: 89.351. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8Linux 5.9 Git1224364860Min: 62.02 / Avg: 62.31 / Max: 62.46Min: 62.71 / Avg: 62.93 / Max: 63.33Min: 61.28 / Avg: 62.56 / Max: 63.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.009, N = 3SE +/- 0.014, N = 3SE +/- 0.003, N = 37.7487.7887.800MIN: 7.67 / MAX: 22.21MIN: 7.73 / MAX: 12.65MIN: 7.74 / MAX: 27.871. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 7.73 / Avg: 7.75 / Max: 7.76Min: 7.77 / Avg: 7.79 / Max: 7.82Min: 7.79 / Avg: 7.8 / Max: 7.811. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.9 Git1.26862.53723.80585.07446.343SE +/- 0.019, N = 3SE +/- 0.018, N = 3SE +/- 0.037, N = 35.6015.6385.605MIN: 5.47 / MAX: 9.61MIN: 5.53 / MAX: 13.75MIN: 5.45 / MAX: 10.271. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.9 Git246810Min: 5.56 / Avg: 5.6 / Max: 5.63Min: 5.62 / Avg: 5.64 / Max: 5.67Min: 5.54 / Avg: 5.61 / Max: 5.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.8Linux 5.9 Git1326395265SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 356.1656.9357.04MIN: 55.4 / MAX: 107.43MIN: 56.62 / MAX: 80.52MIN: 56.76 / MAX: 79.831. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.8Linux 5.9 Git1122334455Min: 55.94 / Avg: 56.16 / Max: 56.48Min: 56.77 / Avg: 56.93 / Max: 57.19Min: 56.92 / Avg: 57.04 / Max: 57.161. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 310.2610.3710.40MIN: 10.11 / MAX: 16.05MIN: 10.27 / MAX: 31.91MIN: 10.23 / MAX: 33.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 10.15 / Avg: 10.26 / Max: 10.31Min: 10.33 / Avg: 10.37 / Max: 10.43Min: 10.27 / Avg: 10.4 / Max: 10.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9 Git612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 323.0923.1123.05MIN: 22.97 / MAX: 26.84MIN: 22.91 / MAX: 35.18MIN: 22.9 / MAX: 25.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9 Git510152025Min: 23.06 / Avg: 23.09 / Max: 23.11Min: 23.06 / Avg: 23.11 / Max: 23.17Min: 23.04 / Avg: 23.05 / Max: 23.051. (CXX) g++ options: -O3 -rdynamic -lgomp -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git1.16042.32083.48124.64165.802SE +/- 0.00807, N = 3SE +/- 0.01544, N = 3SE +/- 0.00900, N = 35.157485.049805.04492MIN: 5.07MIN: 4.96MIN: 4.961. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810Min: 5.14 / Avg: 5.16 / Max: 5.17Min: 5.02 / Avg: 5.05 / Max: 5.07Min: 5.03 / Avg: 5.04 / Max: 5.061. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 346.5046.4546.46MIN: 46.31 / MAX: 58.67MIN: 46.3 / MAX: 49.28MIN: 46.33 / MAX: 51.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9 Git918273645Min: 46.45 / Avg: 46.5 / Max: 46.55Min: 46.43 / Avg: 46.45 / Max: 46.48Min: 46.44 / Avg: 46.46 / Max: 46.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9 Git1020304050SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 342.1635.4835.47MIN: 38.96 / MAX: 43.23MIN: 34.99 / MAX: 35.72MIN: 34.79 / MAX: 35.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9 Git918273645Min: 42.14 / Avg: 42.16 / Max: 42.18Min: 35.46 / Avg: 35.48 / Max: 35.49Min: 35.44 / Avg: 35.47 / Max: 35.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8Linux 5.9 Git80160240320400SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.40, N = 3344.44346.50346.14MIN: 343.7 / MAX: 346.67MIN: 345.83 / MAX: 347.67MIN: 344.07 / MAX: 348.211. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8Linux 5.9 Git60120180240300Min: 344.31 / Avg: 344.44 / Max: 344.6Min: 346.45 / Avg: 346.5 / Max: 346.59Min: 345.34 / Avg: 346.14 / Max: 346.61. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8Linux 5.9 Git80160240320400SE +/- 0.47, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3366.30366.39366.63MIN: 364.37 / MAX: 374.6MIN: 365.21 / MAX: 367.87MIN: 365.56 / MAX: 368.11. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8Linux 5.9 Git70140210280350Min: 365.54 / Avg: 366.3 / Max: 367.15Min: 366.23 / Avg: 366.39 / Max: 366.49Min: 366.45 / Avg: 366.63 / Max: 366.81. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 389.3479.4579.33MIN: 78.43 / MAX: 101.68MIN: 78.55 / MAX: 81.51MIN: 78.43 / MAX: 80.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 89.24 / Avg: 89.34 / Max: 89.39Min: 79.42 / Avg: 79.45 / Max: 79.49Min: 79.29 / Avg: 79.33 / Max: 79.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 387.1175.2575.27MIN: 84.69 / MAX: 89MIN: 74.67 / MAX: 76.95MIN: 74.66 / MAX: 75.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 87.1 / Avg: 87.11 / Max: 87.11Min: 75.23 / Avg: 75.25 / Max: 75.27Min: 75.26 / Avg: 75.27 / Max: 75.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9 Git1326395265SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.88, N = 357.9451.3049.78MIN: 55.09 / MAX: 61.52MIN: 48.82 / MAX: 54.66MIN: 46.19 / MAX: 53.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9 Git1122334455Min: 57.82 / Avg: 57.94 / Max: 58.04Min: 51.13 / Avg: 51.3 / Max: 51.48Min: 48.05 / Avg: 49.78 / Max: 50.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9 Git816243240SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 336.8031.3431.36MIN: 36.41 / MAX: 37.2MIN: 30.87 / MAX: 31.48MIN: 30.73 / MAX: 31.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9 Git816243240Min: 36.79 / Avg: 36.8 / Max: 36.81Min: 31.33 / Avg: 31.34 / Max: 31.34Min: 31.33 / Avg: 31.36 / Max: 31.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9 Git50100150200250SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.22, N = 3214.21206.48205.15MIN: 212.41 / MAX: 218.75MIN: 204.27 / MAX: 209.41MIN: 203.28 / MAX: 208.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9 Git4080120160200Min: 214.11 / Avg: 214.21 / Max: 214.36Min: 206.35 / Avg: 206.48 / Max: 206.63Min: 204.82 / Avg: 205.15 / Max: 205.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9 Git0.59181.18361.77542.36722.959SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 32.632.352.29MIN: 2.59 / MAX: 2.65MIN: 2.17 / MAX: 2.76MIN: 2.14 / MAX: 2.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 2.62 / Avg: 2.63 / Max: 2.64Min: 2.18 / Avg: 2.35 / Max: 2.65Min: 2.23 / Avg: 2.29 / Max: 2.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9 Git918273645SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 339.4839.3639.45MIN: 39.28 / MAX: 53.47MIN: 39.23 / MAX: 42.19MIN: 39.23 / MAX: 42.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9 Git816243240Min: 39.38 / Avg: 39.48 / Max: 39.6Min: 39.34 / Avg: 39.36 / Max: 39.39Min: 39.32 / Avg: 39.45 / Max: 39.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 330.8626.0226.02MIN: 29.36 / MAX: 35.2MIN: 25.28 / MAX: 26.55MIN: 25.31 / MAX: 27.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9 Git714212835Min: 30.84 / Avg: 30.86 / Max: 30.9Min: 26 / Avg: 26.02 / Max: 26.03Min: 26.01 / Avg: 26.02 / Max: 26.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.01, N = 315.1113.0013.00MIN: 14.91 / MAX: 15.25MIN: 12.57 / MAX: 13.06MIN: 12.53 / MAX: 14.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9 Git48121620Min: 15.09 / Avg: 15.11 / Max: 15.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.01, N = 3SE +/- 0.30, N = 3SE +/- 0.52, N = 310.1110.0611.09MIN: 9.97 / MAX: 10.55MIN: 9.19 / MAX: 10.9MIN: 10.03 / MAX: 13.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 10.09 / Avg: 10.11 / Max: 10.13Min: 9.53 / Avg: 10.06 / Max: 10.58Min: 10.07 / Avg: 11.09 / Max: 11.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.01, N = 3SE +/- 0.00, N = 316.3214.0013.99MIN: 16.25 / MAX: 16.42MIN: 13.24 / MAX: 14.29MIN: 13.58 / MAX: 14.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9 Git48121620Min: 16.3 / Avg: 16.32 / Max: 16.34Min: 13.99 / Avg: 13.99 / Max: 141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.7212.6912.68MIN: 14.5 / MAX: 15.08MIN: 11.98 / MAX: 13.56MIN: 12.28 / MAX: 12.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9 Git48121620Min: 14.7 / Avg: 14.72 / Max: 14.75Min: 12.67 / Avg: 12.69 / Max: 12.7Min: 12.67 / Avg: 12.68 / Max: 12.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.43, N = 3SE +/- 0.25, N = 3SE +/- 0.24, N = 346.4338.5938.17MIN: 44.53 / MAX: 65.27MIN: 36.59 / MAX: 45.66MIN: 35.95 / MAX: 45.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9 Git918273645Min: 45.95 / Avg: 46.43 / Max: 47.3Min: 38.3 / Avg: 38.59 / Max: 39.1Min: 37.7 / Avg: 38.17 / Max: 38.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9 Git1224364860SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 352.1343.8043.80MIN: 50.27 / MAX: 53.67MIN: 43.21 / MAX: 44.65MIN: 43.39 / MAX: 43.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9 Git1020304050Min: 52.12 / Avg: 52.13 / Max: 52.14Min: 43.78 / Avg: 43.8 / Max: 43.82Min: 43.78 / Avg: 43.8 / Max: 43.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.28, N = 322.5622.1222.41MIN: 22.06 / MAX: 39.49MIN: 22.04 / MAX: 22.28MIN: 22.05 / MAX: 59.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 22.11 / Avg: 22.56 / Max: 22.82Min: 22.1 / Avg: 22.12 / Max: 22.14Min: 22.11 / Avg: 22.41 / Max: 22.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9 Git612182430SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 324.8824.7624.84MIN: 24.67 / MAX: 25.89MIN: 24.65 / MAX: 36.01MIN: 24.64 / MAX: 36.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 24.73 / Avg: 24.88 / Max: 24.96Min: 24.72 / Avg: 24.76 / Max: 24.83Min: 24.74 / Avg: 24.84 / Max: 24.971. (CXX) g++ options: -O3 -rdynamic -lgomp -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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 310.3910.3110.19MIN: 10.15MIN: 10.1MIN: 10.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 10.24 / Avg: 10.39 / Max: 10.48Min: 10.16 / Avg: 10.31 / Max: 10.53Min: 10.16 / Avg: 10.19 / Max: 10.21. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.00538, N = 3SE +/- 0.03078, N = 3SE +/- 0.03775, N = 38.172338.377068.40703MIN: 7.82MIN: 8MIN: 7.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 8.16 / Avg: 8.17 / Max: 8.18Min: 8.32 / Avg: 8.38 / Max: 8.43Min: 8.35 / Avg: 8.41 / Max: 8.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.00752, N = 3SE +/- 0.08955, N = 3SE +/- 0.10703, N = 39.258379.735799.82786MIN: 9.19MIN: 9.52MIN: 9.531. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 9.25 / Avg: 9.26 / Max: 9.27Min: 9.63 / Avg: 9.74 / Max: 9.91Min: 9.63 / Avg: 9.83 / Max: 101. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 318.7518.8318.79MIN: 18.38MIN: 18.6MIN: 18.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 18.69 / Avg: 18.75 / Max: 18.87Min: 18.76 / Avg: 18.83 / Max: 18.95Min: 18.73 / Avg: 18.79 / Max: 18.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 319.9419.8919.88MIN: 19.8MIN: 19.73MIN: 19.731. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 19.87 / Avg: 19.94 / Max: 20.07Min: 19.8 / Avg: 19.89 / Max: 20.03Min: 19.81 / Avg: 19.88 / Max: 201. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 349.8650.9750.24MIN: 49.38MIN: 50.11MIN: 49.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git1020304050Min: 49.85 / Avg: 49.86 / Max: 49.87Min: 50.67 / Avg: 50.97 / Max: 51.25Min: 49.98 / Avg: 50.24 / Max: 50.521. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git0.87791.75582.63373.51164.3895SE +/- 0.00729, N = 3SE +/- 0.00186, N = 3SE +/- 0.00590, N = 33.779963.901773.84716MIN: 3.67MIN: 3.79MIN: 3.731. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810Min: 3.77 / Avg: 3.78 / Max: 3.79Min: 3.9 / Avg: 3.9 / Max: 3.91Min: 3.84 / Avg: 3.85 / Max: 3.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git306090120150SE +/- 0.29, N = 3SE +/- 1.51, N = 3SE +/- 0.10, N = 3111.12114.24110.72MIN: 109.55MIN: 110.66MIN: 109.511. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 110.82 / Avg: 111.12 / Max: 111.7Min: 111.98 / Avg: 114.24 / Max: 117.12Min: 110.58 / Avg: 110.72 / Max: 110.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 314.3715.1514.72MIN: 14.12MIN: 14.79MIN: 14.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git48121620Min: 14.3 / Avg: 14.37 / Max: 14.41Min: 15.1 / Avg: 15.14 / Max: 15.2Min: 14.62 / Avg: 14.72 / Max: 14.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git120240360480600SE +/- 0.15, N = 3SE +/- 0.78, N = 3SE +/- 3.18, N = 3569.40548.04558.86MIN: 568.18MIN: 545.86MIN: 552.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git100200300400500Min: 569.18 / Avg: 569.4 / Max: 569.69Min: 546.59 / Avg: 548.04 / Max: 549.26Min: 552.76 / Avg: 558.86 / Max: 563.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git60120180240300SE +/- 0.67, N = 3SE +/- 3.43, N = 3SE +/- 2.39, N = 15285.96270.67260.96MIN: 283.43MIN: 261.84MIN: 247.571. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git50100150200250Min: 284.63 / Avg: 285.96 / Max: 286.7Min: 263.94 / Avg: 270.67 / Max: 275.17Min: 248.58 / Avg: 260.96 / Max: 272.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.02123, N = 3SE +/- 0.01758, N = 3SE +/- 0.00534, N = 37.419237.422747.40944MIN: 7.35MIN: 7.35MIN: 7.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 7.39 / Avg: 7.42 / Max: 7.46Min: 7.39 / Avg: 7.42 / Max: 7.45Min: 7.4 / Avg: 7.41 / Max: 7.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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 SearchLinux 5.4Linux 5.8Linux 5.9 Git306090120150SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3125.43125.50125.661. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 125.41 / Avg: 125.43 / Max: 125.45Min: 125.37 / Avg: 125.5 / Max: 125.58Min: 125.59 / Avg: 125.66 / Max: 125.791. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1Linux 5.4Linux 5.8Linux 5.9 Git300600900120015001212.791226.041229.33

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2Linux 5.4Linux 5.8Linux 5.9 Git102030405046.1345.5845.98

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyLinux 5.4Linux 5.8Linux 5.9 Git120240360480600SE +/- 0.85, N = 3SE +/- 0.55, N = 3SE +/- 0.81, N = 3532.49531.91532.18
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyLinux 5.4Linux 5.8Linux 5.9 Git90180270360450Min: 530.84 / Avg: 532.49 / Max: 533.68Min: 530.97 / Avg: 531.91 / Max: 532.88Min: 531.14 / Avg: 532.18 / Max: 533.77

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyLinux 5.4Linux 5.8Linux 5.9 Git80160240320400SE +/- 0.56, N = 3SE +/- 1.11, N = 3SE +/- 0.53, N = 3382.67382.25381.93
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyLinux 5.4Linux 5.8Linux 5.9 Git70140210280350Min: 381.62 / Avg: 382.67 / Max: 383.51Min: 380.82 / Avg: 382.25 / Max: 384.43Min: 380.87 / Avg: 381.93 / Max: 382.47

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2Linux 5.4Linux 5.8Linux 5.9 Git130260390520650590.05598.28592.27

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentLinux 5.4Linux 5.8Linux 5.9 Git1224364860SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 355.5455.3955.51
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentLinux 5.4Linux 5.8Linux 5.9 Git1122334455Min: 55.36 / Avg: 55.54 / Max: 55.8Min: 55.22 / Avg: 55.39 / Max: 55.64Min: 55.27 / Avg: 55.51 / Max: 55.91

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 DynamicsLinux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 321.4321.4821.54
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 21.37 / Avg: 21.43 / Max: 21.46Min: 21.41 / Avg: 21.48 / Max: 21.51Min: 21.49 / Avg: 21.54 / Max: 21.56

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 328.7328.7328.701. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 28.69 / Avg: 28.73 / Max: 28.78Min: 28.66 / Avg: 28.73 / Max: 28.79Min: 28.63 / Avg: 28.7 / Max: 28.761. (CXX) g++ options: -O2 -lOpenCL

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.9 Git1632486480SE +/- 0.60, N = 3SE +/- 0.91, N = 3SE +/- 0.43, N = 371.1068.1370.06
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.9 Git1428425670Min: 70.37 / Avg: 71.1 / Max: 72.29Min: 67.13 / Avg: 68.13 / Max: 69.95Min: 69.25 / Avg: 70.06 / Max: 70.71

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 1.98, N = 12SE +/- 1.29, N = 3SE +/- 1.27, N = 1288.3584.7686.12
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 83.24 / Avg: 88.35 / Max: 104.93Min: 82.71 / Avg: 84.76 / Max: 87.14Min: 83.23 / Avg: 86.12 / Max: 98.38

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.00, N = 327.8628.1227.87
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 27.75 / Avg: 27.86 / Max: 28.06Min: 27.96 / Avg: 28.12 / Max: 28.38Min: 27.87 / Avg: 27.87 / Max: 27.87

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8Linux 5.9 Git0.97431.94862.92293.89724.8715SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 44.294.244.33
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 4.23 / Avg: 4.29 / Max: 4.38Min: 4.2 / Avg: 4.24 / Max: 4.28Min: 4.2 / Avg: 4.33 / Max: 4.44

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 327.4527.6427.57
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 27.41 / Avg: 27.45 / Max: 27.53Min: 27.59 / Avg: 27.64 / Max: 27.7Min: 27.54 / Avg: 27.57 / Max: 27.6

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.4Linux 5.8Linux 5.9 Git60120180240300SE +/- 0.36, N = 3SE +/- 0.33, N = 3SE +/- 1.15, N = 3254.68256.92258.771. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.4Linux 5.8Linux 5.9 Git50100150200250Min: 254.02 / Avg: 254.68 / Max: 255.27Min: 256.26 / Avg: 256.92 / Max: 257.3Min: 257.5 / Avg: 258.77 / Max: 261.071. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.4Linux 5.8Linux 5.9 Git306090120150SE +/- 0.05, N = 3SE +/- 0.30, N = 3SE +/- 0.30, N = 3118.30118.46118.981. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 118.25 / Avg: 118.3 / Max: 118.4Min: 117.99 / Avg: 118.46 / Max: 119.03Min: 118.39 / Avg: 118.98 / Max: 119.331. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.4Linux 5.8Linux 5.9 Git120240360480600SE +/- 2.84, N = 3SE +/- 1.01, N = 3SE +/- 0.14, N = 3570.41568.09566.531. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.4Linux 5.8Linux 5.9 Git100200300400500Min: 567.47 / Avg: 570.41 / Max: 576.1Min: 566.78 / Avg: 568.09 / Max: 570.08Min: 566.27 / Avg: 566.53 / Max: 566.741. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 347.3947.6747.631. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.4Linux 5.8Linux 5.9 Git1020304050Min: 47.34 / Avg: 47.39 / Max: 47.5Min: 47.56 / Avg: 47.67 / Max: 47.73Min: 47.62 / Avg: 47.63 / Max: 47.651. (CXX) g++ options: -O2 -lOpenCL

Timed Apache Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileLinux 5.4Linux 5.8Linux 5.9 Git816243240SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 332.7332.7133.01
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileLinux 5.4Linux 5.8Linux 5.9 Git714212835Min: 32.63 / Avg: 32.73 / Max: 32.84Min: 32.62 / Avg: 32.71 / Max: 32.76Min: 32.88 / Avg: 33.01 / Max: 33.14

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.8Linux 5.9 Git4080120160200SE +/- 0.69, N = 3SE +/- 0.73, N = 3SE +/- 0.02, N = 3182.46182.79183.231. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.8Linux 5.9 Git306090120150Min: 181.1 / Avg: 182.46 / Max: 183.36Min: 181.4 / Avg: 182.79 / Max: 183.9Min: 183.19 / Avg: 183.22 / Max: 183.261. (CXX) g++ options: -O3 -fPIC

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8Linux 5.9 Git0.75491.50982.26473.01963.7745SE +/- 0.001, N = 3SE +/- 0.035, N = 14SE +/- 0.046, N = 133.2823.3393.355
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 3.28 / Avg: 3.28 / Max: 3.28Min: 3.29 / Avg: 3.34 / Max: 3.79Min: 3.29 / Avg: 3.36 / Max: 3.9

Hugin

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