Core i3 8100 December

Intel Core i3-8100 testing with a ASRock Z370M-ITX/ac (P4.10 BIOS) and Intel 8th Gen Core Gaussian Mixture Model 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 2012270-HA-COREI381005
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Audio Encoding 3 Tests
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December 26 2020
  7 Hours, 53 Minutes
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December 26 2020
  8 Hours, 11 Minutes
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December 27 2020
  7 Hours, 49 Minutes
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1

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

2

3

Processor: Intel Core i3-8100 @ 3.60GHz (4 Cores), Motherboard: ASRock Z370M-ITX/ac (P4.10 BIOS), Chipset: Intel 8th Gen Core 4-core Desktop, Memory: 8GB, Disk: 60GB DREVO X1 SSD, Graphics: Intel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz), Audio: Realtek ALC892, Monitor: VA2431, Network: Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGW

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Core i3 8100 DecemberProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i3-8100 @ 3.60GHz (4 Cores)ASRock Z370M-ITX/ac (P4.10 BIOS)Intel 8th Gen Core 4-core Desktop8GB60GB DREVO X1 SSDIntel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz)Realtek ALC892VA2431Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGWUbuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.81.2.131GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%102%105%107%CoremarkBetsy GPU CompressorVkResampleNode.js V8 Web Tooling BenchmarkUnpacking FirefoxStockfishasmFishSQLite SpeedtestBRL-CADTimed MAFFT AlignmentVKMarkMonkey Audio EncodingTimed Eigen CompilationoneDNNsimdjsonBuild2OpenVINOrav1eTimed FFmpeg CompilationVkFFTWavPack Audio EncodingTimed HMMer SearchLZ4 CompressionASTC EncoderNCNNOpus Codec EncodingCLOMP

Core i3 8100 Decembervkfft: betsy: ETC1 - Highestbetsy: ETC2 RGB - Highestvkresample: 2x - Doublevkresample: 2x - Singlevkmark: 1280 x 1024vkmark: 1920 x 1080clomp: Static OMP Speeduphmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDcompress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUrav1e: 1rav1e: 5rav1e: 6rav1e: 10coremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-ffmpeg: Time To Compilebuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEencode-opus: WAV To Opus Encodenode-web-tooling: astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivesqlite-speedtest: Timed Time - Size 1,000ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUencode-wavpack: WAV To WavPackunpack-firefox: firefox-84.0.source.tar.xzbrl-cad: VGR Performance Metric123136710.9067.5411013.827478.8339776571.7126.15711.9390.570.350.520.547608.289201.540.979058.040.089077.68.470609.061425.588763.5964718.534611.517314.461017.708614.554811.24546759.553873.756758.253855.794.711866758.843856.207.501140.3440.9841.3082.89098117.50907564565858988021151.630338.86493.50813.62410.64810.175.7614.2892.92738.3779.43228.157.186.249.346.5510.392.3621.6987.3522.5519.3247.8338.9940.4014.5528.167.166.269.366.5410.372.3621.6887.2822.5219.2847.8438.9740.5214.551.163426.151.153436.650.715641.280.705648.202549.491.452543.511.4617.96523.25636580136911.0821010.496422.2279696581.7126.19811.9220.580.350.520.547630.569212.441.029051.339.769053.28.479889.528845.586713.6376818.712511.499514.358317.808514.539011.23406761.683860.526759.253858.994.719316804.343860.157.506390.3440.9841.3082.887100468.34611965519829008380151.678337.98893.15013.70410.64810.395.7514.2992.88737.7979.66028.157.146.259.346.5110.362.3621.7587.3222.5619.3447.9038.9740.4614.5028.147.156.269.376.5410.372.3621.7287.2422.5219.3147.7938.9640.4614.531.173422.791.153436.560.715638.320.715638.592516.511.452551.411.4517.94223.39336247136810.3701011.005421.6359646581.7126.15411.9970.580.350.520.547612.819216.940.999057.339.989066.98.466039.188895.579583.5927418.543011.473014.414517.760114.540211.23436761.793874.236767.393852.804.719436764.333855.497.504820.3430.9831.3082.88992000.14054364517278912458151.784337.57693.09013.64310.65210.295.7514.2992.95738.4478.92428.177.136.249.366.5310.372.3621.7487.3422.5619.3347.8838.9740.4514.5528.137.146.259.346.5310.392.3621.6987.2322.5319.3047.9338.9440.4414.561.163426.051.153437.370.715642.320.705650.562562.171.462552.271.4517.94523.66936569OpenBenchmarking.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 1.1.112330060090012001500SE +/- 2.33, N = 3SE +/- 1.20, N = 3SE +/- 1.00, N = 31367136913681. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.11232004006008001000Min: 1362 / Avg: 1366.67 / Max: 1369Min: 1367 / Avg: 1369.33 / Max: 1371Min: 1366 / Avg: 1368 / Max: 13691. (CXX) g++ options: -O3 -pthread

Betsy GPU Compressor

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highest1233691215SE +/- 0.78, N = 12SE +/- 0.08, N = 15SE +/- 0.63, N = 1210.9111.0810.371. (CXX) g++ options: -O3 -O2 -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC1 - Quality: Highest1233691215Min: 4.31 / Avg: 10.91 / Max: 16.9Min: 10.81 / Avg: 11.08 / Max: 12.16Min: 3.48 / Avg: 10.37 / Max: 11.591. (CXX) g++ options: -O3 -O2 -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterBetsy GPU Compressor 1.1 BetaCodec: ETC2 RGB - Quality: Highest12468107.5411. (CXX) g++ options: -O3 -O2 -lpthread -ldl

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: Double1232004006008001000SE +/- 1.41, N = 3SE +/- 2.85, N = 3SE +/- 4.21, N = 31013.831010.501011.011. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Double1232004006008001000Min: 1011.45 / Avg: 1013.83 / Max: 1016.32Min: 1005.21 / Avg: 1010.5 / Max: 1015.01Min: 1003.22 / Avg: 1011.01 / Max: 1017.691. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single123100200300400500SE +/- 0.46, N = 3SE +/- 0.41, N = 3SE +/- 0.49, N = 3478.83422.23421.641. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single12380160240320400Min: 478.16 / Avg: 478.83 / Max: 479.72Min: 421.71 / Avg: 422.23 / Max: 423.03Min: 421.01 / Avg: 421.63 / Max: 422.591. (CXX) g++ options: -O3 -pthread

VKMark

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

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 10241232004006008001000SE +/- 1.00, N = 3SE +/- 3.93, N = 39779699641. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF
OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 10241232004006008001000Min: 968 / Avg: 969 / Max: 971Min: 959 / Avg: 964.33 / Max: 9721. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080123140280420560700SE +/- 1.76, N = 3SE +/- 0.58, N = 36576586581. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF
OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080123120240360480600Min: 654 / Avg: 657.33 / Max: 660Min: 657 / Avg: 658 / Max: 6591. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

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 Speedup1230.38250.7651.14751.531.9125SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.71.71.71. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup123246810Min: 1.7 / Avg: 1.7 / Max: 1.7Min: 1.7 / Avg: 1.7 / Max: 1.7Min: 1.7 / Avg: 1.7 / Max: 1.71. (CC) gcc options: -fopenmp -O3 -lm

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 Search123306090120150SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3126.16126.20126.151. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 126.13 / Avg: 126.16 / Max: 126.19Min: 126.15 / Avg: 126.2 / Max: 126.28Min: 126.06 / Avg: 126.15 / Max: 126.261. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 311.9411.9212.001. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215Min: 11.86 / Avg: 11.94 / Max: 11.99Min: 11.88 / Avg: 11.92 / Max: 12Min: 11.86 / Avg: 12 / Max: 12.071. (CC) gcc options: -std=c99 -O3 -lm -lpthread

simdjson

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

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1230.13050.2610.39150.5220.6525SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.570.580.581. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya123246810Min: 0.57 / Avg: 0.57 / Max: 0.58Min: 0.57 / Avg: 0.58 / Max: 0.58Min: 0.57 / Avg: 0.58 / Max: 0.581. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.07880.15760.23640.31520.394SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.350.350.351. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom12312345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.351. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.1170.2340.3510.4680.585SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.520.520.521. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets123246810Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.52 / Avg: 0.52 / Max: 0.521. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.12150.2430.36450.4860.6075SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.540.540.541. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID123246810Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.541. (CXX) g++ options: -O3 -pthread

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed12316003200480064008000SE +/- 4.40, N = 3SE +/- 19.00, N = 3SE +/- 7.93, N = 37608.287630.567612.811. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed12313002600390052006500Min: 7599.53 / Avg: 7608.28 / Max: 7613.44Min: 7595.51 / Avg: 7630.56 / Max: 7660.81Min: 7599.05 / Avg: 7612.81 / Max: 7626.511. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed1232K4K6K8K10KSE +/- 38.89, N = 3SE +/- 38.65, N = 3SE +/- 21.43, N = 39201.59212.49216.91. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed12316003200480064008000Min: 9128.6 / Avg: 9201.53 / Max: 9261.4Min: 9154.9 / Avg: 9212.4 / Max: 9285.9Min: 9178.6 / Avg: 9216.87 / Max: 9252.71. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed123918273645SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 340.9741.0240.991. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed123918273645Min: 40.84 / Avg: 40.97 / Max: 41.13Min: 40.96 / Avg: 41.02 / Max: 41.12Min: 40.86 / Avg: 40.99 / Max: 41.141. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed1232K4K6K8K10KSE +/- 9.10, N = 3SE +/- 18.24, N = 3SE +/- 2.77, N = 39058.09051.39057.31. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed12316003200480064008000Min: 9045 / Avg: 9057.97 / Max: 9075.5Min: 9018.4 / Avg: 9051.3 / Max: 9081.4Min: 9052.1 / Avg: 9057.33 / Max: 9061.51. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed123918273645SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.01, N = 340.0839.7639.981. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed123816243240Min: 39.96 / Avg: 40.08 / Max: 40.14Min: 39.35 / Avg: 39.76 / Max: 39.97Min: 39.97 / Avg: 39.98 / Max: 39.991. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed1232K4K6K8K10KSE +/- 15.30, N = 3SE +/- 13.38, N = 3SE +/- 14.57, N = 39077.69053.29066.91. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed12316003200480064008000Min: 9058.7 / Avg: 9077.6 / Max: 9107.9Min: 9030.6 / Avg: 9053.17 / Max: 9076.9Min: 9043.9 / Avg: 9066.93 / Max: 9093.91. (CC) gcc options: -O3

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: CPU123246810SE +/- 0.01592, N = 3SE +/- 0.00926, N = 3SE +/- 0.01958, N = 38.470608.479888.46603MIN: 8.4MIN: 8.39MIN: 8.371. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1233691215Min: 8.44 / Avg: 8.47 / Max: 8.49Min: 8.46 / Avg: 8.48 / Max: 8.5Min: 8.44 / Avg: 8.47 / Max: 8.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.01406, N = 3SE +/- 0.02685, N = 3SE +/- 0.02174, N = 39.061429.528849.18889MIN: 8.95MIN: 9.43MIN: 9.11. (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: CPU1233691215Min: 9.04 / Avg: 9.06 / Max: 9.09Min: 9.48 / Avg: 9.53 / Max: 9.56Min: 9.15 / Avg: 9.19 / Max: 9.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1231.25752.5153.77255.036.2875SE +/- 0.00294, N = 3SE +/- 0.00388, N = 3SE +/- 0.00020, N = 35.588765.586715.57958MIN: 5.55MIN: 5.55MIN: 5.561. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810Min: 5.58 / Avg: 5.59 / Max: 5.59Min: 5.58 / Avg: 5.59 / Max: 5.59Min: 5.58 / Avg: 5.58 / Max: 5.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.81851.6372.45553.2744.0925SE +/- 0.01043, N = 3SE +/- 0.03180, N = 3SE +/- 0.01609, N = 33.596473.637683.59274MIN: 3.39MIN: 3.18MIN: 3.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 3.58 / Avg: 3.6 / Max: 3.61Min: 3.59 / Avg: 3.64 / Max: 3.7Min: 3.57 / Avg: 3.59 / Max: 3.621. (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: CPU123510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 318.5318.7118.54MIN: 18.42MIN: 18.57MIN: 18.431. (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: CPU123510152025Min: 18.51 / Avg: 18.53 / Max: 18.58Min: 18.67 / Avg: 18.71 / Max: 18.77Min: 18.5 / Avg: 18.54 / Max: 18.581. (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: CPU1233691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 311.5211.5011.47MIN: 11.42MIN: 11.4MIN: 11.381. (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: CPU1233691215Min: 11.48 / Avg: 11.52 / Max: 11.59Min: 11.46 / Avg: 11.5 / Max: 11.56Min: 11.45 / Avg: 11.47 / Max: 11.491. (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: CPU12348121620SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 314.4614.3614.41MIN: 14.22MIN: 14.23MIN: 14.251. (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: CPU12348121620Min: 14.32 / Avg: 14.46 / Max: 14.59Min: 14.35 / Avg: 14.36 / Max: 14.37Min: 14.35 / Avg: 14.41 / Max: 14.481. (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: CPU12348121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 317.7117.8117.76MIN: 17.57MIN: 17.67MIN: 17.611. (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: CPU123510152025Min: 17.67 / Avg: 17.71 / Max: 17.77Min: 17.78 / Avg: 17.81 / Max: 17.84Min: 17.74 / Avg: 17.76 / Max: 17.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU12348121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 314.5514.5414.54MIN: 14.46MIN: 14.47MIN: 14.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU12348121620Min: 14.5 / Avg: 14.55 / Max: 14.6Min: 14.52 / Avg: 14.54 / Max: 14.56Min: 14.49 / Avg: 14.54 / Max: 14.571. (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: CPU1233691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.2511.2311.23MIN: 11.19MIN: 11.2MIN: 11.191. (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: CPU1233691215Min: 11.23 / Avg: 11.25 / Max: 11.27Min: 11.23 / Avg: 11.23 / Max: 11.24Min: 11.22 / Avg: 11.23 / Max: 11.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12314002800420056007000SE +/- 1.61, N = 3SE +/- 7.18, N = 3SE +/- 0.71, N = 36759.556761.686761.79MIN: 6754.19MIN: 6742.39MIN: 6755.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12312002400360048006000Min: 6757.26 / Avg: 6759.55 / Max: 6762.66Min: 6748.09 / Avg: 6761.68 / Max: 6772.5Min: 6760.6 / Avg: 6761.79 / Max: 6763.041. (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: CPU1238001600240032004000SE +/- 20.54, N = 3SE +/- 0.72, N = 3SE +/- 18.83, N = 33873.753860.523874.23MIN: 3848.44MIN: 3856.22MIN: 3849.241. (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: CPU1237001400210028003500Min: 3852.94 / Avg: 3873.75 / Max: 3914.83Min: 3859.09 / Avg: 3860.52 / Max: 3861.37Min: 3853.73 / Avg: 3874.23 / Max: 3911.851. (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: CPU12315003000450060007500SE +/- 7.88, N = 3SE +/- 2.23, N = 3SE +/- 3.49, N = 36758.256759.256767.39MIN: 6740.42MIN: 6750.8MIN: 6755.11. (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: CPU12312002400360048006000Min: 6743.04 / Avg: 6758.25 / Max: 6769.45Min: 6756.53 / Avg: 6759.25 / Max: 6763.68Min: 6760.41 / Avg: 6767.39 / Max: 6771.151. (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: CPU1238001600240032004000SE +/- 5.10, N = 3SE +/- 1.86, N = 3SE +/- 1.54, N = 33855.793858.993852.80MIN: 3845.17MIN: 3851.44MIN: 3847.921. (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: CPU1237001400210028003500Min: 3847.12 / Avg: 3855.79 / Max: 3864.78Min: 3856.53 / Avg: 3858.99 / Max: 3862.63Min: 3849.79 / Avg: 3852.8 / Max: 3854.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1231.06192.12383.18574.24765.3095SE +/- 0.00413, N = 3SE +/- 0.00367, N = 3SE +/- 0.00063, N = 34.711864.719314.71943MIN: 4.66MIN: 4.66MIN: 4.661. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810Min: 4.7 / Avg: 4.71 / Max: 4.72Min: 4.71 / Avg: 4.72 / Max: 4.72Min: 4.72 / Avg: 4.72 / Max: 4.721. (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: CPU12315003000450060007500SE +/- 7.71, N = 3SE +/- 37.00, N = 3SE +/- 4.92, N = 36758.846804.346764.33MIN: 6740.34MIN: 6761.06MIN: 6750.921. (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: CPU12312002400360048006000Min: 6748.84 / Avg: 6758.84 / Max: 6774Min: 6763.88 / Avg: 6804.34 / Max: 6878.22Min: 6754.88 / Avg: 6764.33 / Max: 6771.451. (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: CPU1238001600240032004000SE +/- 1.72, N = 3SE +/- 1.45, N = 3SE +/- 2.63, N = 33856.203860.153855.49MIN: 3850.81MIN: 3854.62MIN: 3847.911. (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: CPU1237001400210028003500Min: 3853.62 / Avg: 3856.2 / Max: 3859.47Min: 3858.54 / Avg: 3860.15 / Max: 3863.05Min: 3850.23 / Avg: 3855.49 / Max: 3858.311. (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: CPU123246810SE +/- 0.00777, N = 3SE +/- 0.00589, N = 3SE +/- 0.00679, N = 37.501147.506397.50482MIN: 7.46MIN: 7.46MIN: 7.461. (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: CPU1233691215Min: 7.49 / Avg: 7.5 / Max: 7.51Min: 7.5 / Avg: 7.51 / Max: 7.52Min: 7.49 / Avg: 7.5 / Max: 7.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 11230.07740.15480.23220.30960.387SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3440.3440.343
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 112312345Min: 0.34 / Avg: 0.34 / Max: 0.34Min: 0.34 / Avg: 0.34 / Max: 0.35Min: 0.34 / Avg: 0.34 / Max: 0.34

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 51230.22140.44280.66420.88561.107SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.9840.9840.983
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5123246810Min: 0.98 / Avg: 0.98 / Max: 0.99Min: 0.98 / Avg: 0.98 / Max: 0.99Min: 0.98 / Avg: 0.98 / Max: 0.99

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.29430.58860.88291.17721.4715SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.3081.3081.308
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6123246810Min: 1.31 / Avg: 1.31 / Max: 1.31Min: 1.31 / Avg: 1.31 / Max: 1.31Min: 1.31 / Avg: 1.31 / Max: 1.31

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.65031.30061.95092.60123.2515SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 32.8902.8872.889
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10123246810Min: 2.88 / Avg: 2.89 / Max: 2.89Min: 2.88 / Avg: 2.89 / Max: 2.89Min: 2.88 / Avg: 2.89 / Max: 2.9

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 Second12320K40K60K80K100KSE +/- 1397.84, N = 15SE +/- 1569.03, N = 15SE +/- 971.22, N = 898117.51100468.3592000.141. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12320K40K60K80K100KMin: 90059.66 / Avg: 98117.51 / Max: 106560.11Min: 88849.4 / Avg: 100468.35 / Max: 107570.26Min: 87772.23 / Avg: 92000.14 / Max: 95710.951. (CC) gcc options: -O2 -lrt" -lrt

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1231.4M2.8M4.2M5.6M7MSE +/- 59897.76, N = 3SE +/- 39431.93, N = 3SE +/- 73617.81, N = 36456585655198264517271. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time1231.1M2.2M3.3M4.4M5.5MMin: 6350666 / Avg: 6456585 / Max: 6558012Min: 6500126 / Avg: 6551981.67 / Max: 6629367Min: 6312827 / Avg: 6451726.67 / Max: 65634721. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1232M4M6M8M10MSE +/- 98059.95, N = 3SE +/- 71523.89, N = 3SE +/- 46897.59, N = 3898802190083808912458
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1231.6M3.2M4.8M6.4M8MMin: 8802963 / Avg: 8988021.33 / Max: 9136785Min: 8910895 / Avg: 9008380 / Max: 9147784Min: 8841446 / Avg: 8912457.67 / Max: 9001031

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 Compile123306090120150SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3151.63151.68151.78
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile123306090120150Min: 151.52 / Avg: 151.63 / Max: 151.75Min: 151.6 / Avg: 151.68 / Max: 151.77Min: 151.61 / Avg: 151.78 / Max: 152.02

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 Compile12370140210280350SE +/- 0.66, N = 3SE +/- 0.28, N = 3SE +/- 0.64, N = 3338.86337.99337.58
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12360120180240300Min: 338.17 / Avg: 338.86 / Max: 340.18Min: 337.43 / Avg: 337.99 / Max: 338.35Min: 336.38 / Avg: 337.58 / Max: 338.54

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 Compile12320406080100SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 393.5193.1593.09
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100Min: 93.39 / Avg: 93.51 / Max: 93.6Min: 93.05 / Avg: 93.15 / Max: 93.27Min: 93 / Avg: 93.09 / Max: 93.21

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 APE12348121620SE +/- 0.03, N = 5SE +/- 0.06, N = 5SE +/- 0.03, N = 513.6213.7013.641. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE12348121620Min: 13.55 / Avg: 13.62 / Max: 13.74Min: 13.58 / Avg: 13.7 / Max: 13.9Min: 13.58 / Avg: 13.64 / Max: 13.731. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Opus Codec Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 510.6510.6510.651. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215Min: 10.62 / Avg: 10.65 / Max: 10.72Min: 10.62 / Avg: 10.65 / Max: 10.73Min: 10.62 / Avg: 10.65 / Max: 10.721. (CXX) g++ options: -fvisibility=hidden -logg -lm

Node.js V8 Web Tooling Benchmark

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

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 310.1710.3910.291. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215Min: 10.05 / Avg: 10.17 / Max: 10.23Min: 10.38 / Avg: 10.39 / Max: 10.39Min: 10.18 / Avg: 10.29 / Max: 10.381. Nodejs v10.19.0

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1231.2962.5923.8885.1846.48SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.765.755.751. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast123246810Min: 5.74 / Avg: 5.76 / Max: 5.78Min: 5.74 / Avg: 5.75 / Max: 5.76Min: 5.74 / Avg: 5.75 / Max: 5.771. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium12348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.2814.2914.291. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium12348121620Min: 14.27 / Avg: 14.28 / Max: 14.29Min: 14.28 / Avg: 14.29 / Max: 14.31Min: 14.27 / Avg: 14.29 / Max: 14.311. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough12320406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 392.9292.8892.951. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough12320406080100Min: 92.89 / Avg: 92.92 / Max: 92.95Min: 92.85 / Avg: 92.88 / Max: 92.9Min: 92.89 / Avg: 92.95 / Max: 92.991. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive123160320480640800SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3738.37737.79738.441. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive123130260390520650Min: 738.12 / Avg: 738.37 / Max: 738.56Min: 737.72 / Avg: 737.79 / Max: 737.92Min: 738.21 / Avg: 738.44 / Max: 738.691. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 1,00012320406080100SE +/- 0.03, N = 3SE +/- 0.34, N = 3SE +/- 0.10, N = 379.4379.6678.921. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001231530456075Min: 79.39 / Avg: 79.43 / Max: 79.5Min: 79.07 / Avg: 79.66 / Max: 80.26Min: 78.77 / Avg: 78.92 / Max: 79.11. (CC) gcc options: -O2 -ldl -lz -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 328.1528.1528.17MIN: 28.03 / MAX: 30.22MIN: 28.04 / MAX: 30.44MIN: 28.04 / MAX: 38.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123612182430Min: 28.13 / Avg: 28.15 / Max: 28.18Min: 28.14 / Avg: 28.15 / Max: 28.17Min: 28.13 / Avg: 28.17 / Max: 28.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.187.147.13MIN: 7.07 / MAX: 29.75MIN: 7.07 / MAX: 8.36MIN: 7.07 / MAX: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 7.12 / Avg: 7.18 / Max: 7.28Min: 7.13 / Avg: 7.14 / Max: 7.16Min: 7.12 / Avg: 7.13 / Max: 7.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 36.246.256.24MIN: 6.17 / MAX: 7.41MIN: 6.17 / MAX: 15.83MIN: 6.17 / MAX: 7.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31233691215Min: 6.23 / Avg: 6.24 / Max: 6.25Min: 6.23 / Avg: 6.25 / Max: 6.29Min: 6.21 / Avg: 6.24 / Max: 6.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.349.349.36MIN: 9.28 / MAX: 10.73MIN: 9.28 / MAX: 10.73MIN: 9.29 / MAX: 11.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21233691215Min: 9.31 / Avg: 9.34 / Max: 9.36Min: 9.32 / Avg: 9.34 / Max: 9.37Min: 9.33 / Avg: 9.36 / Max: 9.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet123246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.556.516.53MIN: 6.5 / MAX: 16.64MIN: 6.47 / MAX: 6.73MIN: 6.49 / MAX: 6.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1233691215Min: 6.53 / Avg: 6.55 / Max: 6.58Min: 6.5 / Avg: 6.51 / Max: 6.52Min: 6.52 / Avg: 6.53 / Max: 6.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01233691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310.3910.3610.37MIN: 10.35 / MAX: 11.79MIN: 10.33 / MAX: 10.6MIN: 10.32 / MAX: 10.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01233691215Min: 10.38 / Avg: 10.39 / Max: 10.39Min: 10.36 / Avg: 10.36 / Max: 10.36Min: 10.36 / Avg: 10.37 / Max: 10.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.5311.0621.5932.1242.655SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.362.362.36MIN: 2.34 / MAX: 2.49MIN: 2.34 / MAX: 2.38MIN: 2.34 / MAX: 2.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface123246810Min: 2.35 / Avg: 2.36 / Max: 2.37Min: 2.35 / Avg: 2.36 / Max: 2.36Min: 2.36 / Avg: 2.36 / Max: 2.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123510152025SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 321.6921.7521.74MIN: 21.59 / MAX: 29.99MIN: 21.6 / MAX: 56.79MIN: 21.62 / MAX: 52.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123510152025Min: 21.66 / Avg: 21.69 / Max: 21.73Min: 21.7 / Avg: 21.75 / Max: 21.85Min: 21.68 / Avg: 21.74 / Max: 21.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1612320406080100SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 387.3587.3287.34MIN: 87.09 / MAX: 96.91MIN: 87 / MAX: 97.85MIN: 87.03 / MAX: 96.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1612320406080100Min: 87.29 / Avg: 87.35 / Max: 87.4Min: 87.16 / Avg: 87.32 / Max: 87.45Min: 87.15 / Avg: 87.34 / Max: 87.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 322.5522.5622.56MIN: 22.49 / MAX: 23.15MIN: 22.46 / MAX: 23.21MIN: 22.46 / MAX: 23.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123510152025Min: 22.54 / Avg: 22.55 / Max: 22.56Min: 22.53 / Avg: 22.56 / Max: 22.6Min: 22.52 / Avg: 22.56 / Max: 22.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 319.3219.3419.33MIN: 19.23 / MAX: 21.26MIN: 19.23 / MAX: 21.66MIN: 19.23 / MAX: 28.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123510152025Min: 19.3 / Avg: 19.32 / Max: 19.33Min: 19.32 / Avg: 19.34 / Max: 19.37Min: 19.29 / Avg: 19.33 / Max: 19.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231122334455SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 347.8347.9047.88MIN: 47.62 / MAX: 57.56MIN: 47.62 / MAX: 88.54MIN: 47.6 / MAX: 95.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231020304050Min: 47.82 / Avg: 47.83 / Max: 47.84Min: 47.83 / Avg: 47.9 / Max: 48.01Min: 47.81 / Avg: 47.88 / Max: 48.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123918273645SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 338.9938.9738.97MIN: 38.79 / MAX: 49.09MIN: 38.81 / MAX: 49.04MIN: 38.81 / MAX: 41.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123816243240Min: 38.91 / Avg: 38.99 / Max: 39.11Min: 38.95 / Avg: 38.97 / Max: 38.99Min: 38.93 / Avg: 38.97 / Max: 39.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123918273645SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 340.4040.4640.45MIN: 40.28 / MAX: 42.66MIN: 40.32 / MAX: 57.2MIN: 40.35 / MAX: 52.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123816243240Min: 40.35 / Avg: 40.4 / Max: 40.43Min: 40.42 / Avg: 40.46 / Max: 40.54Min: 40.41 / Avg: 40.45 / Max: 40.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m12348121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 314.5514.5014.55MIN: 14.43 / MAX: 15.76MIN: 14.4 / MAX: 15.22MIN: 14.46 / MAX: 15.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m12348121620Min: 14.49 / Avg: 14.55 / Max: 14.61Min: 14.44 / Avg: 14.5 / Max: 14.55Min: 14.52 / Avg: 14.55 / Max: 14.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet123714212835SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 328.1628.1428.13MIN: 28 / MAX: 30.49MIN: 27.98 / MAX: 33.11MIN: 28 / MAX: 30.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet123612182430Min: 28.13 / Avg: 28.16 / Max: 28.23Min: 28.07 / Avg: 28.14 / Max: 28.18Min: 28.1 / Avg: 28.13 / Max: 28.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.167.157.14MIN: 7.08 / MAX: 8.7MIN: 7.07 / MAX: 9.43MIN: 7.08 / MAX: 8.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21233691215Min: 7.15 / Avg: 7.16 / Max: 7.17Min: 7.15 / Avg: 7.15 / Max: 7.15Min: 7.14 / Avg: 7.14 / Max: 7.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.266.266.25MIN: 6.18 / MAX: 7.85MIN: 6.19 / MAX: 7.44MIN: 6.18 / MAX: 7.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31233691215Min: 6.25 / Avg: 6.26 / Max: 6.26Min: 6.25 / Avg: 6.26 / Max: 6.26Min: 6.24 / Avg: 6.25 / Max: 6.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v21233691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 39.369.379.34MIN: 9.29 / MAX: 10.85MIN: 9.31 / MAX: 10.64MIN: 9.29 / MAX: 10.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v21233691215Min: 9.35 / Avg: 9.36 / Max: 9.37Min: 9.33 / Avg: 9.37 / Max: 9.39Min: 9.31 / Avg: 9.34 / Max: 9.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.546.546.53MIN: 6.5 / MAX: 8.09MIN: 6.51 / MAX: 7.17MIN: 6.49 / MAX: 7.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet1233691215Min: 6.53 / Avg: 6.54 / Max: 6.55Min: 6.53 / Avg: 6.54 / Max: 6.54Min: 6.52 / Avg: 6.53 / Max: 6.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b01233691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 310.3710.3710.39MIN: 10.32 / MAX: 11.49MIN: 10.34 / MAX: 11.79MIN: 10.32 / MAX: 20.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b01233691215Min: 10.35 / Avg: 10.37 / Max: 10.39Min: 10.37 / Avg: 10.37 / Max: 10.37Min: 10.35 / Avg: 10.39 / Max: 10.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface1230.5311.0621.5932.1242.655SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.362.362.36MIN: 2.34 / MAX: 3.09MIN: 2.35 / MAX: 2.57MIN: 2.34 / MAX: 2.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface123246810Min: 2.36 / Avg: 2.36 / Max: 2.37Min: 2.36 / Avg: 2.36 / Max: 2.37Min: 2.36 / Avg: 2.36 / Max: 2.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet123510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 321.6821.7221.69MIN: 21.59 / MAX: 31.15MIN: 21.61 / MAX: 31.67MIN: 21.59 / MAX: 31.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet123510152025Min: 21.65 / Avg: 21.68 / Max: 21.73Min: 21.67 / Avg: 21.72 / Max: 21.77Min: 21.66 / Avg: 21.69 / Max: 21.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1612320406080100SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 387.2887.2487.23MIN: 87.01 / MAX: 97.33MIN: 86.94 / MAX: 96.82MIN: 87.02 / MAX: 97.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1612320406080100Min: 87.26 / Avg: 87.28 / Max: 87.3Min: 87.12 / Avg: 87.24 / Max: 87.41Min: 87.21 / Avg: 87.23 / Max: 87.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 322.5222.5222.53MIN: 22.4 / MAX: 23.98MIN: 22.41 / MAX: 23.18MIN: 22.46 / MAX: 23.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123510152025Min: 22.46 / Avg: 22.52 / Max: 22.56Min: 22.48 / Avg: 22.52 / Max: 22.55Min: 22.52 / Avg: 22.53 / Max: 22.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet123510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 319.2819.3119.30MIN: 19.2 / MAX: 19.63MIN: 19.23 / MAX: 21.66MIN: 19.2 / MAX: 21.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet123510152025Min: 19.26 / Avg: 19.28 / Max: 19.3Min: 19.27 / Avg: 19.31 / Max: 19.34Min: 19.28 / Avg: 19.3 / Max: 19.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501231122334455SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 347.8447.7947.93MIN: 47.59 / MAX: 59.98MIN: 47.59 / MAX: 57.75MIN: 47.56 / MAX: 120.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501231020304050Min: 47.8 / Avg: 47.84 / Max: 47.86Min: 47.74 / Avg: 47.79 / Max: 47.84Min: 47.77 / Avg: 47.93 / Max: 48.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny123918273645SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 338.9738.9638.94MIN: 38.82 / MAX: 49.15MIN: 38.78 / MAX: 48.94MIN: 38.78 / MAX: 41.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny123816243240Min: 38.93 / Avg: 38.97 / Max: 39.03Min: 38.89 / Avg: 38.96 / Max: 39.01Min: 38.88 / Avg: 38.94 / Max: 38.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd123918273645SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 340.5240.4640.44MIN: 40.36 / MAX: 90.92MIN: 40.33 / MAX: 67.8MIN: 40.32 / MAX: 50.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd123816243240Min: 40.43 / Avg: 40.52 / Max: 40.68Min: 40.4 / Avg: 40.46 / Max: 40.55Min: 40.37 / Avg: 40.44 / Max: 40.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m12348121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.5514.5314.56MIN: 14.45 / MAX: 28.03MIN: 14.46 / MAX: 15.24MIN: 14.49 / MAX: 15.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m12348121620Min: 14.52 / Avg: 14.55 / Max: 14.57Min: 14.51 / Avg: 14.53 / Max: 14.55Min: 14.55 / Avg: 14.56 / Max: 14.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1230.26330.52660.78991.05321.3165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.161.171.16
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 1.16 / Avg: 1.16 / Max: 1.17Min: 1.16 / Avg: 1.17 / Max: 1.17Min: 1.16 / Avg: 1.16 / Max: 1.17

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1237001400210028003500SE +/- 2.94, N = 3SE +/- 2.63, N = 3SE +/- 5.13, N = 33426.153422.793426.05
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1236001200180024003000Min: 3421.63 / Avg: 3426.15 / Max: 3431.68Min: 3417.94 / Avg: 3422.79 / Max: 3426.99Min: 3416.4 / Avg: 3426.05 / Max: 3433.89

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.25880.51760.77641.03521.294SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.151.151.15
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 1.15 / Avg: 1.15 / Max: 1.15Min: 1.15 / Avg: 1.15 / Max: 1.15Min: 1.14 / Avg: 1.15 / Max: 1.15

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1237001400210028003500SE +/- 2.49, N = 3SE +/- 6.17, N = 3SE +/- 9.57, N = 33436.653436.563437.37
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1236001200180024003000Min: 3432.22 / Avg: 3436.65 / Max: 3440.83Min: 3424.34 / Avg: 3436.56 / Max: 3444.1Min: 3419.31 / Avg: 3437.37 / Max: 3451.87

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.15980.31960.47940.63920.799SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.710.710.71
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 0.7 / Avg: 0.71 / Max: 0.71Min: 0.7 / Avg: 0.71 / Max: 0.71Min: 0.7 / Avg: 0.71 / Max: 0.71

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12312002400360048006000SE +/- 3.62, N = 3SE +/- 4.42, N = 3SE +/- 3.88, N = 35641.285638.325642.32
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12310002000300040005000Min: 5634.26 / Avg: 5641.28 / Max: 5646.33Min: 5632.23 / Avg: 5638.32 / Max: 5646.9Min: 5636.64 / Avg: 5642.32 / Max: 5649.74

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.15980.31960.47940.63920.799SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.700.710.70
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 0.7 / Avg: 0.7 / Max: 0.71Min: 0.7 / Avg: 0.71 / Max: 0.71Min: 0.7 / Avg: 0.7 / Max: 0.71

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12312002400360048006000SE +/- 7.38, N = 3SE +/- 5.55, N = 3SE +/- 8.84, N = 35648.205638.595650.56
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12310002000300040005000Min: 5635.96 / Avg: 5648.2 / Max: 5661.45Min: 5630.51 / Avg: 5638.59 / Max: 5649.23Min: 5638.9 / Avg: 5650.56 / Max: 5667.91

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1235001000150020002500SE +/- 10.55, N = 3SE +/- 32.43, N = 12SE +/- 18.26, N = 32549.492516.512562.17
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123400800120016002000Min: 2533.93 / Avg: 2549.49 / Max: 2569.6Min: 2161.99 / Avg: 2516.51 / Max: 2575.89Min: 2534.89 / Avg: 2562.17 / Max: 2596.83

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.32850.6570.98551.3141.6425SE +/- 0.00, N = 3SE +/- 0.00, N = 12SE +/- 0.00, N = 31.451.451.46
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 1.45 / Avg: 1.45 / Max: 1.45Min: 1.45 / Avg: 1.45 / Max: 1.46Min: 1.46 / Avg: 1.46 / Max: 1.46

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1235001000150020002500SE +/- 4.46, N = 3SE +/- 2.44, N = 3SE +/- 6.24, N = 32543.512551.412552.27
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123400800120016002000Min: 2536.6 / Avg: 2543.51 / Max: 2551.85Min: 2546.68 / Avg: 2551.41 / Max: 2554.79Min: 2544.16 / Avg: 2552.27 / Max: 2564.53

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.32850.6570.98551.3141.6425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.461.451.45
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 1.46 / Avg: 1.46 / Max: 1.46Min: 1.45 / Avg: 1.45 / Max: 1.46Min: 1.45 / Avg: 1.45 / Max: 1.45

WavPack Audio Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620SE +/- 0.02, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 517.9717.9417.951. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack123510152025Min: 17.94 / Avg: 17.97 / Max: 18.05Min: 17.94 / Avg: 17.94 / Max: 17.95Min: 17.94 / Avg: 17.94 / Max: 17.951. (CXX) g++ options: -rdynamic

Unpacking Firefox

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

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz123612182430SE +/- 0.18, N = 4SE +/- 0.24, N = 4SE +/- 0.30, N = 423.2623.3923.67
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz123612182430Min: 23.02 / Avg: 23.26 / Max: 23.78Min: 23.02 / Avg: 23.39 / Max: 24.06Min: 23.01 / Avg: 23.67 / Max: 24.43

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 Metric1238K16K24K32K40K3658036247365691. (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

101 Results Shown

VkFFT
Betsy GPU Compressor:
  ETC1 - Highest
  ETC2 RGB - Highest
VkResample:
  2x - Double
  2x - Single
VKMark:
  1280 x 1024
  1920 x 1080
CLOMP
Timed HMMer Search
Timed MAFFT Alignment
simdjson:
  Kostya
  LargeRand
  PartialTweets
  DistinctUserID
LZ4 Compression:
  1 - Compression Speed
  1 - Decompression Speed
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
  9 - Decompression Speed
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
rav1e:
  1
  5
  6
  10
Coremark
Stockfish
asmFish
Timed FFmpeg Compilation
Build2
Timed Eigen Compilation
Monkey Audio Encoding
Opus Codec Encoding
Node.js V8 Web Tooling Benchmark
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
SQLite Speedtest
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    FPS
    ms
  Face Detection 0106 FP32 - CPU:
    FPS
    ms
  Person Detection 0106 FP16 - CPU:
    FPS
    ms
  Person Detection 0106 FP32 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP32 - CPU:
    FPS
    ms
WavPack Audio Encoding
Unpacking Firefox
BRL-CAD

1

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 26 December 2020 11:58 by user phoronix.

2

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 26 December 2020 17:36 by user phoronix.

3

Processor: Intel Core i3-8100 @ 3.60GHz (4 Cores), Motherboard: ASRock Z370M-ITX/ac (P4.10 BIOS), Chipset: Intel 8th Gen Core 4-core Desktop, Memory: 8GB, Disk: 60GB DREVO X1 SSD, Graphics: Intel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz), Audio: Realtek ALC892, Monitor: VA2431, Network: Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGW

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1
Python Notes: Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 27 December 2020 05:51 by user phoronix.