Core i9 9900K Xmas

Intel Core i9-9900K testing with a ASRock Z390M Pro4 (P4.20 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012229-HA-COREI999049
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Audio Encoding 4 Tests
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December 22 2020
  3 Hours, 31 Minutes
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December 22 2020
  3 Hours, 33 Minutes
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December 22 2020
  3 Hours, 38 Minutes
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Core i9 9900K XmasProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution123Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASRock Z390M Pro4 (P4.20 BIOS)Intel Cannon Lake PCH16GB240GB Corsair Force MP510Intel UHD 630 3GB (1200MHz)Realtek ALC892G237HLIntel I219-VUbuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 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,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: 0xd6 - Thermald 1.9.1 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Vulnerable; SMT vulnerable + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Vulnerable + tsx_async_abort: Vulnerable

123Result OverviewPhoronix Test Suite100%102%105%107%CLOMPNode.js V8 Web Tooling BenchmarkTimed Eigen CompilationBuild2VkResampleOpus Codec EncodingNCNNMonkey Audio EncodingOgg Audio EncodingVkFFTWavPack Audio EncodingoneDNNsimdjson

Core i9 9900K Xmasvkfft: vkresample: 2x - Doublevkresample: 2x - Singleclomp: Static OMP Speedupsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDonednn: 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 - CPUbuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEencode-ogg: WAV To Oggencode-opus: WAV To Opus Encodenode-web-tooling: ncnn: 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_400mencode-wavpack: WAV To WavPack1231501903.652388.5783.60.80.490.730.753.8429710.90801.756772.0287919.49685.238656.2478317.26235.767293.113163758.922073.483765.372066.093.877543763.982072.873.19467130.42066.6789.86918.1057.70914.2017.844.903.794.753.706.151.7813.5159.1013.1711.2725.0825.5618.8812.7817.904.893.744.763.726.211.7513.4759.1613.2611.2925.4625.6318.9312.6913.0521504918.533387.3243.60.80.490.730.753.8612411.09751.743222.0041919.58205.260206.2584717.15045.736493.129733760.832070.813767.162074.973.845473763.032074.813.19403130.21466.8359.86718.1147.73413.7217.824.913.844.773.726.131.7613.4559.0113.1711.2525.0525.5718.9312.4917.824.923.814.843.846.241.813.5258.9513.1611.2525.0425.5918.6213.4013.0261500903.689388.4333.30.80.490.730.753.8318111.20721.728852.0294019.62155.239026.2326517.26385.719313.118313765.102077.323767.182081.023.854133771.302077.343.19453131.29867.2759.90318.1567.69914.0517.824.903.774.763.696.141.7613.5359.0113.1911.3025.1725.6218.8812.3317.874.923.794.803.726.171.7613.4858.9513.3311.2725.1926.6918.7212.4113.046OpenBenchmarking.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 +/- 1.76, N = 3SE +/- 0.67, N = 3SE +/- 1.00, N = 31501150415001. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.112330060090012001500Min: 1498 / Avg: 1500.67 / Max: 1504Min: 1503 / Avg: 1503.67 / Max: 1505Min: 1498 / Avg: 1500 / Max: 15011. (CXX) g++ options: -O3 -pthread

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 +/- 1.21, N = 3SE +/- 0.93, N = 3SE +/- 0.41, N = 3903.65918.53903.691. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Double123160320480640800Min: 902.33 / Avg: 903.65 / Max: 906.08Min: 916.93 / Avg: 918.53 / Max: 920.16Min: 903.17 / Avg: 903.69 / Max: 904.51. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single12380160240320400SE +/- 0.48, N = 3SE +/- 0.23, N = 3SE +/- 0.46, N = 3388.58387.32388.431. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single12370140210280350Min: 387.65 / Avg: 388.58 / Max: 389.27Min: 386.9 / Avg: 387.32 / Max: 387.69Min: 387.97 / Avg: 388.43 / Max: 389.351. (CXX) g++ options: -O3 -pthread

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 Speedup1230.811.622.433.244.05SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 153.63.63.31. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup123246810Min: 3.6 / Avg: 3.6 / Max: 3.6Min: 3.6 / Avg: 3.63 / Max: 3.7Min: 3.1 / Avg: 3.29 / Max: 3.71. (CC) gcc options: -fopenmp -O3 -lm

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: Kostya1230.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.80.80.81. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya123246810Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.8 / Avg: 0.8 / Max: 0.81. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.11030.22060.33090.44120.5515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.490.490.491. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom123246810Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 0.49 / Avg: 0.49 / Max: 0.491. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.16430.32860.49290.65720.8215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.730.730.731. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets123246810Min: 0.73 / Avg: 0.73 / Max: 0.73Min: 0.73 / Avg: 0.73 / Max: 0.73Min: 0.73 / Avg: 0.73 / Max: 0.731. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.16880.33760.50640.67520.844SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.750.750.751. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID123246810Min: 0.75 / Avg: 0.75 / Max: 0.75Min: 0.75 / Avg: 0.75 / Max: 0.75Min: 0.75 / Avg: 0.75 / Max: 0.751. (CXX) g++ options: -O3 -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1230.86881.73762.60643.47524.344SE +/- 0.04278, N = 7SE +/- 0.03519, N = 10SE +/- 0.04260, N = 73.842973.861243.83181MIN: 3.47MIN: 3.49MIN: 3.421. (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: CPU123246810Min: 3.61 / Avg: 3.84 / Max: 3.93Min: 3.63 / Avg: 3.86 / Max: 3.94Min: 3.62 / Avg: 3.83 / Max: 3.911. (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 +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 310.9111.1011.21MIN: 10.73MIN: 10.87MIN: 10.991. (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: 10.87 / Avg: 10.91 / Max: 10.94Min: 11.04 / Avg: 11.1 / Max: 11.14Min: 11.13 / Avg: 11.21 / Max: 11.281. (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: CPU1230.39530.79061.18591.58121.9765SE +/- 0.01447, N = 13SE +/- 0.01201, N = 15SE +/- 0.01630, N = 101.756771.743221.72885MIN: 1.53MIN: 1.53MIN: 1.551. (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: 1.6 / Avg: 1.76 / Max: 1.82Min: 1.58 / Avg: 1.74 / Max: 1.78Min: 1.58 / Avg: 1.73 / Max: 1.751. (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: CPU1230.45660.91321.36981.82642.283SE +/- 0.00340, N = 3SE +/- 0.00370, N = 3SE +/- 0.00254, N = 32.028792.004192.02940MIN: 1.97MIN: 1.94MIN: 1.971. (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: 2.02 / Avg: 2.03 / Max: 2.03Min: 2 / Avg: 2 / Max: 2.01Min: 2.02 / Avg: 2.03 / Max: 2.031. (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 +/- 0.02, N = 3SE +/- 0.02, N = 319.5019.5819.62MIN: 19.39MIN: 19.45MIN: 19.481. (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: f32 - Engine: CPU123510152025Min: 19.46 / Avg: 19.5 / Max: 19.52Min: 19.56 / Avg: 19.58 / Max: 19.62Min: 19.59 / Avg: 19.62 / Max: 19.671. (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: CPU1231.18352.3673.55054.7345.9175SE +/- 0.06499, N = 12SE +/- 0.05219, N = 14SE +/- 0.06401, N = 125.238655.260205.23902MIN: 4.34MIN: 4.42MIN: 4.351. (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: CPU123246810Min: 4.53 / Avg: 5.24 / Max: 5.32Min: 4.59 / Avg: 5.26 / Max: 5.35Min: 4.54 / Avg: 5.24 / Max: 5.381. (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: CPU123246810SE +/- 0.00100, N = 3SE +/- 0.01417, N = 3SE +/- 0.01139, N = 36.247836.258476.23265MIN: 5.97MIN: 5.96MIN: 5.941. (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: CPU1233691215Min: 6.25 / Avg: 6.25 / Max: 6.25Min: 6.24 / Avg: 6.26 / Max: 6.28Min: 6.22 / Avg: 6.23 / Max: 6.261. (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 +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 317.2617.1517.26MIN: 16.85MIN: 16.71MIN: 16.81. (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: CPU12348121620Min: 17.24 / Avg: 17.26 / Max: 17.31Min: 17.1 / Avg: 17.15 / Max: 17.21Min: 17.24 / Avg: 17.26 / Max: 17.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1231.29762.59523.89285.19046.488SE +/- 0.04711, N = 15SE +/- 0.05212, N = 13SE +/- 0.04354, N = 155.767295.736495.71931MIN: 5.03MIN: 5.03MIN: 5.031. (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: CPU123246810Min: 5.15 / Avg: 5.77 / Max: 5.96Min: 5.15 / Avg: 5.74 / Max: 5.89Min: 5.15 / Avg: 5.72 / Max: 5.871. (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: CPU1230.70421.40842.11262.81683.521SE +/- 0.00605, N = 3SE +/- 0.00115, N = 3SE +/- 0.00835, N = 33.113163.129733.11831MIN: 3.04MIN: 3.05MIN: 3.051. (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: CPU123246810Min: 3.1 / Avg: 3.11 / Max: 3.12Min: 3.13 / Avg: 3.13 / Max: 3.13Min: 3.11 / Avg: 3.12 / Max: 3.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1238001600240032004000SE +/- 1.66, N = 3SE +/- 0.87, N = 3SE +/- 1.70, N = 33758.923760.833765.10MIN: 3744.47MIN: 3750.11MIN: 3745.821. (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: CPU1237001400210028003500Min: 3755.71 / Avg: 3758.92 / Max: 3761.27Min: 3759.38 / Avg: 3760.83 / Max: 3762.4Min: 3761.75 / Avg: 3765.1 / Max: 3767.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU123400800120016002000SE +/- 4.23, N = 3SE +/- 2.61, N = 3SE +/- 2.04, N = 32073.482070.812077.32MIN: 2044.29MIN: 2057.1MIN: 2063.571. (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: CPU123400800120016002000Min: 2065.45 / Avg: 2073.48 / Max: 2079.78Min: 2066.96 / Avg: 2070.81 / Max: 2075.79Min: 2073.34 / Avg: 2077.32 / Max: 2080.091. (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: CPU1238001600240032004000SE +/- 0.87, N = 3SE +/- 3.77, N = 3SE +/- 1.19, N = 33765.373767.163767.18MIN: 3754.23MIN: 3750.11MIN: 3748.261. (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: CPU1237001400210028003500Min: 3763.78 / Avg: 3765.37 / Max: 3766.76Min: 3760.29 / Avg: 3767.16 / Max: 3773.29Min: 3765.42 / Avg: 3767.18 / Max: 3769.461. (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: CPU123400800120016002000SE +/- 5.12, N = 3SE +/- 1.26, N = 3SE +/- 1.64, N = 32066.092074.972081.02MIN: 2046.99MIN: 2058.74MIN: 2063.521. (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: CPU123400800120016002000Min: 2059.32 / Avg: 2066.09 / Max: 2076.13Min: 2072.5 / Avg: 2074.97 / Max: 2076.62Min: 2077.82 / Avg: 2081.02 / Max: 2083.241. (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: CPU1230.87241.74482.61723.48964.362SE +/- 0.00398, N = 3SE +/- 0.01019, N = 3SE +/- 0.00211, N = 33.877543.845473.85413MIN: 3.81MIN: 3.77MIN: 3.781. (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: 3.87 / Avg: 3.88 / Max: 3.88Min: 3.83 / Avg: 3.85 / Max: 3.86Min: 3.85 / Avg: 3.85 / Max: 3.861. (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: CPU1238001600240032004000SE +/- 1.57, N = 3SE +/- 2.08, N = 3SE +/- 5.09, N = 33763.983763.033771.30MIN: 3751.93MIN: 3749.98MIN: 3754.361. (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: CPU1237001400210028003500Min: 3761.23 / Avg: 3763.98 / Max: 3766.66Min: 3759.43 / Avg: 3763.03 / Max: 3766.64Min: 3763.87 / Avg: 3771.3 / Max: 3781.051. (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: CPU123400800120016002000SE +/- 5.42, N = 3SE +/- 4.58, N = 3SE +/- 1.94, N = 32072.872074.812077.34MIN: 2051.09MIN: 2055.39MIN: 2060.341. (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: CPU123400800120016002000Min: 2062.95 / Avg: 2072.87 / Max: 2081.61Min: 2066.28 / Avg: 2074.81 / Max: 2081.96Min: 2074.94 / Avg: 2077.34 / Max: 2081.181. (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: CPU1230.71881.43762.15642.87523.594SE +/- 0.04563, N = 3SE +/- 0.03293, N = 8SE +/- 0.03391, N = 73.194673.194033.19453MIN: 2.88MIN: 2.72MIN: 2.71. (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: CPU123246810Min: 3.1 / Avg: 3.19 / Max: 3.24Min: 2.96 / Avg: 3.19 / Max: 3.24Min: 2.99 / Avg: 3.19 / Max: 3.231. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 Compile123306090120150SE +/- 0.20, N = 3SE +/- 0.30, N = 3SE +/- 0.13, N = 3130.42130.21131.30
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12320406080100Min: 130.02 / Avg: 130.42 / Max: 130.68Min: 129.91 / Avg: 130.21 / Max: 130.81Min: 131.05 / Avg: 131.3 / Max: 131.46

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 Compile1231530456075SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.28, N = 366.6866.8467.28
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile1231326395265Min: 66.51 / Avg: 66.68 / Max: 66.91Min: 66.58 / Avg: 66.83 / Max: 67.22Min: 66.71 / Avg: 67.27 / Max: 67.62

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 APE1233691215SE +/- 0.009, N = 5SE +/- 0.013, N = 5SE +/- 0.024, N = 59.8699.8679.9031. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215Min: 9.84 / Avg: 9.87 / Max: 9.89Min: 9.82 / Avg: 9.87 / Max: 9.9Min: 9.86 / Avg: 9.9 / Max: 9.991. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Ogg Audio Encoding

This test times how long it takes to encode a sample WAV file to Ogg format using the reference Xiph.org tools/libraries. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To Ogg12348121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 318.1118.1118.161. (CC) gcc options: -O2 -ffast-math -fsigned-char
OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To Ogg123510152025Min: 18.08 / Avg: 18.1 / Max: 18.13Min: 18.09 / Avg: 18.11 / Max: 18.14Min: 18.05 / Avg: 18.16 / Max: 18.231. (CC) gcc options: -O2 -ffast-math -fsigned-char

Opus Codec Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode123246810SE +/- 0.005, N = 5SE +/- 0.025, N = 5SE +/- 0.009, N = 57.7097.7347.6991. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215Min: 7.7 / Avg: 7.71 / Max: 7.72Min: 7.68 / Avg: 7.73 / Max: 7.83Min: 7.67 / Avg: 7.7 / Max: 7.721. (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 Benchmark12348121620SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 314.2013.7214.051. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark12348121620Min: 14.06 / Avg: 14.2 / Max: 14.29Min: 13.64 / Avg: 13.72 / Max: 13.8Min: 13.85 / Avg: 14.05 / Max: 14.221. Nodejs v10.19.0

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: mobilenet12348121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 317.8417.8217.82MIN: 17.55 / MAX: 18.34MIN: 17.61 / MAX: 19.74MIN: 17.52 / MAX: 19.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123510152025Min: 17.79 / Avg: 17.84 / Max: 17.87Min: 17.77 / Avg: 17.82 / Max: 17.85Min: 17.76 / Avg: 17.82 / Max: 17.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21231.10482.20963.31444.41925.524SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 34.904.914.90MIN: 4.76 / MAX: 6.22MIN: 4.74 / MAX: 5.86MIN: 4.74 / MAX: 6.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 4.87 / Avg: 4.9 / Max: 4.95Min: 4.85 / Avg: 4.91 / Max: 4.99Min: 4.87 / Avg: 4.9 / Max: 4.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31230.8641.7282.5923.4564.32SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 33.793.843.77MIN: 3.72 / MAX: 4.73MIN: 3.71 / MAX: 4.74MIN: 3.69 / MAX: 4.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 3.76 / Avg: 3.79 / Max: 3.85Min: 3.73 / Avg: 3.84 / Max: 4.05Min: 3.72 / Avg: 3.77 / Max: 3.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21231.07332.14663.21994.29325.3665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.754.774.76MIN: 4.72 / MAX: 5.82MIN: 4.71 / MAX: 5.82MIN: 4.73 / MAX: 5.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2123246810Min: 4.74 / Avg: 4.75 / Max: 4.75Min: 4.77 / Avg: 4.77 / Max: 4.77Min: 4.76 / Avg: 4.76 / Max: 4.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1230.8371.6742.5113.3484.185SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 33.703.723.69MIN: 3.62 / MAX: 5.08MIN: 3.6 / MAX: 4.76MIN: 3.6 / MAX: 4.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet123246810Min: 3.67 / Avg: 3.7 / Max: 3.73Min: 3.68 / Avg: 3.72 / Max: 3.77Min: 3.65 / Avg: 3.69 / Max: 3.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0123246810SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 36.156.136.14MIN: 6.05 / MAX: 8.81MIN: 5.97 / MAX: 7.36MIN: 5.98 / MAX: 7.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0123246810Min: 6.1 / Avg: 6.15 / Max: 6.19Min: 6.03 / Avg: 6.13 / Max: 6.2Min: 6.07 / Avg: 6.14 / Max: 6.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.40050.8011.20151.6022.0025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 31.781.761.76MIN: 1.63 / MAX: 15.8MIN: 1.67 / MAX: 2.05MIN: 1.63 / MAX: 2.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface123246810Min: 1.74 / Avg: 1.78 / Max: 1.81Min: 1.69 / Avg: 1.76 / Max: 1.81Min: 1.67 / Avg: 1.76 / Max: 1.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet1233691215SE +/- 0.28, N = 3SE +/- 0.25, N = 3SE +/- 0.28, N = 313.5113.4513.53MIN: 12.77 / MAX: 14.18MIN: 12.78 / MAX: 14.09MIN: 12.81 / MAX: 14.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet12348121620Min: 12.96 / Avg: 13.51 / Max: 13.87Min: 12.96 / Avg: 13.45 / Max: 13.75Min: 12.99 / Avg: 13.53 / Max: 13.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231326395265SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 359.1059.0159.01MIN: 58.72 / MAX: 60.77MIN: 58.7 / MAX: 59.8MIN: 58.68 / MAX: 62.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231224364860Min: 58.98 / Avg: 59.1 / Max: 59.17Min: 58.94 / Avg: 59.01 / Max: 59.08Min: 58.93 / Avg: 59.01 / Max: 59.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet181233691215SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 313.1713.1713.19MIN: 12.77 / MAX: 15.6MIN: 12.75 / MAX: 14.11MIN: 12.73 / MAX: 14.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1812348121620Min: 12.92 / Avg: 13.17 / Max: 13.35Min: 12.95 / Avg: 13.17 / Max: 13.3Min: 12.91 / Avg: 13.19 / Max: 13.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1233691215SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 311.2711.2511.30MIN: 11.03 / MAX: 13.48MIN: 11.02 / MAX: 11.94MIN: 11.05 / MAX: 11.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1233691215Min: 11.14 / Avg: 11.27 / Max: 11.34Min: 11.11 / Avg: 11.25 / Max: 11.34Min: 11.1 / Avg: 11.3 / Max: 11.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123612182430SE +/- 0.37, N = 3SE +/- 0.37, N = 3SE +/- 0.36, N = 325.0825.0525.17MIN: 24.17 / MAX: 26.32MIN: 24.09 / MAX: 37.48MIN: 24.27 / MAX: 35.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123612182430Min: 24.33 / Avg: 25.08 / Max: 25.47Min: 24.32 / Avg: 25.05 / Max: 25.49Min: 24.45 / Avg: 25.17 / Max: 25.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123612182430SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 325.5625.5725.62MIN: 24.68 / MAX: 26.45MIN: 24.68 / MAX: 26.46MIN: 25.42 / MAX: 26.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123612182430Min: 25.53 / Avg: 25.56 / Max: 25.59Min: 25.45 / Avg: 25.57 / Max: 25.63Min: 25.59 / Avg: 25.62 / Max: 25.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123510152025SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 318.8818.9318.88MIN: 18.15 / MAX: 19.57MIN: 18.65 / MAX: 29.58MIN: 18.25 / MAX: 19.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123510152025Min: 18.8 / Avg: 18.88 / Max: 18.93Min: 18.9 / Avg: 18.93 / Max: 18.95Min: 18.83 / Avg: 18.88 / Max: 18.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m1233691215SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.19, N = 312.7812.4912.33MIN: 12.1 / MAX: 21.92MIN: 12.09 / MAX: 13.69MIN: 11.9 / MAX: 13.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m12348121620Min: 12.73 / Avg: 12.78 / Max: 12.85Min: 12.4 / Avg: 12.49 / Max: 12.65Min: 11.98 / Avg: 12.33 / Max: 12.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet12348121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.9017.8217.87MIN: 17.81 / MAX: 19.41MIN: 17.55 / MAX: 18.33MIN: 17.62 / MAX: 19.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet123510152025Min: 17.88 / Avg: 17.9 / Max: 17.93Min: 17.8 / Avg: 17.82 / Max: 17.83Min: 17.85 / Avg: 17.87 / Max: 17.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21231.1072.2143.3214.4285.535SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 34.894.924.92MIN: 4.76 / MAX: 14.13MIN: 4.75 / MAX: 6.03MIN: 4.76 / MAX: 6.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123246810Min: 4.86 / Avg: 4.89 / Max: 4.93Min: 4.86 / Avg: 4.92 / Max: 5.01Min: 4.87 / Avg: 4.92 / Max: 5.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31230.85731.71462.57193.42924.2865SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 33.743.813.79MIN: 3.7 / MAX: 4.76MIN: 3.7 / MAX: 4.85MIN: 3.7 / MAX: 4.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3123246810Min: 3.73 / Avg: 3.74 / Max: 3.76Min: 3.73 / Avg: 3.81 / Max: 3.96Min: 3.74 / Avg: 3.79 / Max: 3.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v21231.0892.1783.2674.3565.445SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 34.764.844.80MIN: 4.73 / MAX: 6.69MIN: 4.71 / MAX: 6.78MIN: 4.67 / MAX: 5.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2123246810Min: 4.75 / Avg: 4.76 / Max: 4.77Min: 4.74 / Avg: 4.84 / Max: 5.02Min: 4.76 / Avg: 4.8 / Max: 4.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet1230.8641.7282.5923.4564.32SE +/- 0.00, N = 3SE +/- 0.13, N = 2SE +/- 0.03, N = 33.723.843.72MIN: 3.69 / MAX: 4.57MIN: 3.68 / MAX: 12.58MIN: 3.66 / MAX: 5.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet123246810Min: 3.71 / Avg: 3.72 / Max: 3.72Min: 3.71 / Avg: 3.84 / Max: 3.97Min: 3.68 / Avg: 3.72 / Max: 3.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0123246810SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 36.216.246.17MIN: 6.11 / MAX: 7.67MIN: 6.1 / MAX: 8.11MIN: 6.03 / MAX: 7.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0123246810Min: 6.14 / Avg: 6.21 / Max: 6.28Min: 6.17 / Avg: 6.24 / Max: 6.38Min: 6.15 / Avg: 6.17 / Max: 6.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface1230.4050.811.2151.622.025SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 31.751.801.76MIN: 1.63 / MAX: 2.06MIN: 1.63 / MAX: 2.02MIN: 1.67 / MAX: 2.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface123246810Min: 1.66 / Avg: 1.75 / Max: 1.8Min: 1.7 / Avg: 1.77 / Max: 1.8Min: 1.68 / Avg: 1.76 / Max: 1.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet1233691215SE +/- 0.23, N = 3SE +/- 0.36, N = 3SE +/- 0.30, N = 313.4713.5213.48MIN: 12.89 / MAX: 16MIN: 12.59 / MAX: 14.8MIN: 12.7 / MAX: 14.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet12348121620Min: 13 / Avg: 13.47 / Max: 13.73Min: 12.83 / Avg: 13.52 / Max: 14.04Min: 12.89 / Avg: 13.48 / Max: 13.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg161231326395265SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 359.1658.9558.95MIN: 58.94 / MAX: 60.55MIN: 58.61 / MAX: 59.89MIN: 58.53 / MAX: 67.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg161231224364860Min: 59.15 / Avg: 59.16 / Max: 59.17Min: 58.83 / Avg: 58.95 / Max: 59.03Min: 58.78 / Avg: 58.95 / Max: 59.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet181233691215SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 213.2613.1613.33MIN: 12.86 / MAX: 14.3MIN: 12.64 / MAX: 14.54MIN: 12.89 / MAX: 14.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet1812348121620Min: 13.02 / Avg: 13.26 / Max: 13.38Min: 12.84 / Avg: 13.16 / Max: 13.35Min: 13.31 / Avg: 13.33 / Max: 13.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet1233691215SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 311.2911.2511.27MIN: 11.05 / MAX: 12.62MIN: 11.02 / MAX: 12.47MIN: 11.05 / MAX: 11.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet1233691215Min: 11.08 / Avg: 11.29 / Max: 11.41Min: 11.09 / Avg: 11.25 / Max: 11.35Min: 11.1 / Avg: 11.27 / Max: 11.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50123612182430SE +/- 0.02, N = 3SE +/- 0.37, N = 3SE +/- 0.37, N = 325.4625.0425.19MIN: 24.03 / MAX: 26.02MIN: 24.07 / MAX: 26.3MIN: 24.27 / MAX: 35.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50123612182430Min: 25.43 / Avg: 25.46 / Max: 25.5Min: 24.31 / Avg: 25.04 / Max: 25.45Min: 24.46 / Avg: 25.19 / Max: 25.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny123612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 1.12, N = 225.6325.5926.69MIN: 25.45 / MAX: 26.86MIN: 25.42 / MAX: 35.3MIN: 25.44 / MAX: 170.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny123612182430Min: 25.59 / Avg: 25.63 / Max: 25.69Min: 25.56 / Avg: 25.59 / Max: 25.63Min: 25.57 / Avg: 26.69 / Max: 27.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd123510152025SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 318.9318.6218.72MIN: 18.69 / MAX: 21.76MIN: 18.08 / MAX: 19.05MIN: 18.2 / MAX: 30.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd123510152025Min: 18.88 / Avg: 18.93 / Max: 18.97Min: 18.17 / Avg: 18.62 / Max: 18.86Min: 18.29 / Avg: 18.72 / Max: 18.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m1233691215SE +/- 0.12, N = 3SE +/- 0.63, N = 3SE +/- 0.06, N = 312.6913.4012.41MIN: 12.4 / MAX: 14.98MIN: 12 / MAX: 16.63MIN: 11.89 / MAX: 13.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m12348121620Min: 12.45 / Avg: 12.69 / Max: 12.82Min: 12.74 / Avg: 13.4 / Max: 14.65Min: 12.3 / Avg: 12.41 / Max: 12.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WavPack Audio Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack1233691215SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 513.0513.0313.051. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620Min: 12.99 / Avg: 13.05 / Max: 13.1Min: 13 / Avg: 13.03 / Max: 13.04Min: 13.04 / Avg: 13.05 / Max: 13.081. (CXX) g++ options: -rdynamic

63 Results Shown

VkFFT
VkResample:
  2x - Double
  2x - Single
CLOMP
simdjson:
  Kostya
  LargeRand
  PartialTweets
  DistinctUserID
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
Build2
Timed Eigen Compilation
Monkey Audio Encoding
Ogg Audio Encoding
Opus Codec Encoding
Node.js V8 Web Tooling Benchmark
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
WavPack Audio Encoding