Core i3 10100 Xmas Eve

Intel Core i3-10100 testing with a Gigabyte B460M DS3H (F2 BIOS) and Gigabyte Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012244-HA-COREI310172.

Core i3 10100 Xmas EveProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads)Gigabyte B460M DS3H (F2 BIOS)Intel Device 9b6316GB500GB Western Digital WDS500G3X0C-00SJG0Gigabyte Intel UHD 630 3GB (1100MHz)Realtek ALC887-VDG237HLRealtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc7daily20201002-generic (x86_64) 20201001GNOME Shell 3.36.3X 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,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: 0xccSecurity Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + 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: Not affected + tsx_async_abort: Not affected

Core i3 10100 Xmas Evevkfft: vkresample: 2x - Doublevkresample: 2x - Singlevkmark: 1280 x 1024vkmark: 1920 x 1080clomp: 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-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 WavPackunpack-firefox: firefox-84.0.source.tar.xz12313141008.654458.50877657410.660.440.760.778.3800519.07913.206233.1358132.50959.6117513.210225.43739.135297.404396880.643856.656878.813869.186.258006878.533861.495.21634256.44878.29411.8018.68112.0930.027.776.368.276.1010.422.2121.1194.5521.3216.9944.9641.0430.5613.6730.067.786.368.276.1210.422.2221.0794.4821.3217.0244.9241.0030.5413.6615.20618.38613051018.316456.83174052510.660.440.760.778.4214319.47543.210593.2050532.70389.5985213.368825.86819.178487.386606892.353919.526894.203918.966.260616895.473919.445.22700255.14978.49311.7888.67311.7030.547.916.478.276.1610.612.2121.5395.0921.7217.2245.5241.8631.1025.2730.517.926.478.296.1710.612.2121.5295.1621.6917.1245.5241.8631.0613.7515.21018.41613041008.139457.04174052510.660.440.760.778.4221419.44603.209433.1881432.66019.6278813.193525.80799.441037.406816897.363890.676891.193892.066.249306893.033912.805.22065253.96678.71611.7758.66911.9630.527.916.468.286.1810.622.2221.6095.3021.7317.2545.5341.8731.1413.7130.527.946.488.286.1810.612.2121.5295.2121.7117.1245.5241.8731.1113.7215.21318.418OpenBenchmarking.org

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.112330060090012001500SE +/- 0.58, N = 3SE +/- 1.33, N = 31314130513041. (CXX) g++ options: -O3 -pthread

VkResample

Upscale: 2x - Precision: Double

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Double1232004006008001000SE +/- 4.42, N = 3SE +/- 1.42, N = 3SE +/- 4.21, N = 31008.651018.321008.141. (CXX) g++ options: -O3 -pthread

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single123100200300400500SE +/- 0.35, N = 3SE +/- 0.61, N = 3SE +/- 0.93, N = 3458.51456.83457.041. (CXX) g++ options: -O3 -pthread

VKMark

Resolution: 1280 x 1024

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 10241232004006008001000SE +/- 1.53, N = 3SE +/- 1.20, N = 37767407401. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VKMark

Resolution: 1920 x 1080

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080123120240360480600SE +/- 7.75, N = 35745255251. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1230.2250.450.6750.91.1251111. (CC) gcc options: -fopenmp -O3 -lm

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1230.14850.2970.44550.5940.7425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.660.660.661. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.0990.1980.2970.3960.495SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.440.440.441. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.1710.3420.5130.6840.855SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.760.760.761. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.17330.34660.51990.69320.8665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.770.771. (CXX) g++ options: -O3 -pthread

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.03477, N = 3SE +/- 0.02676, N = 3SE +/- 0.01121, N = 38.380058.421438.42214MIN: 8.19MIN: 8.23MIN: 8.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 319.0819.4819.45MIN: 18.84MIN: 19.28MIN: 19.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.72241.44482.16722.88963.612SE +/- 0.00360, N = 3SE +/- 0.00081, N = 3SE +/- 0.00416, N = 33.206233.210593.20943MIN: 3.17MIN: 3.17MIN: 3.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.72111.44222.16332.88443.6055SE +/- 0.01666, N = 3SE +/- 0.02163, N = 3SE +/- 0.05483, N = 33.135813.205053.18814MIN: 2.95MIN: 2.98MIN: 2.981. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 332.5132.7032.66MIN: 32.23MIN: 32.3MIN: 32.261. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.00924, N = 3SE +/- 0.00175, N = 3SE +/- 0.02886, N = 39.611759.598529.62788MIN: 9.53MIN: 9.52MIN: 9.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.2113.3713.19MIN: 12.83MIN: 12.84MIN: 12.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123612182430SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 325.4425.8725.81MIN: 24.83MIN: 25.43MIN: 25.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.01654, N = 3SE +/- 0.00771, N = 3SE +/- 0.09408, N = 39.135299.178489.44103MIN: 9.06MIN: 9.1MIN: 9.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.01490, N = 3SE +/- 0.00842, N = 3SE +/- 0.00928, N = 37.404397.386607.40681MIN: 7.32MIN: 7.31MIN: 7.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12315003000450060007500SE +/- 1.12, N = 3SE +/- 0.91, N = 3SE +/- 3.28, N = 36880.646892.356897.36MIN: 6874.53MIN: 6886.59MIN: 6888.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1238001600240032004000SE +/- 0.70, N = 3SE +/- 3.46, N = 3SE +/- 1.32, N = 33856.653919.523890.67MIN: 3851.12MIN: 3907.37MIN: 3883.591. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12315003000450060007500SE +/- 1.62, N = 3SE +/- 2.91, N = 3SE +/- 0.79, N = 36878.816894.206891.19MIN: 6872.96MIN: 6886.01MIN: 6886.291. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1238001600240032004000SE +/- 7.85, N = 3SE +/- 4.59, N = 3SE +/- 8.51, N = 33869.183918.963892.06MIN: 3855.67MIN: 3906.52MIN: 3875.591. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810SE +/- 0.00315, N = 3SE +/- 0.00855, N = 3SE +/- 0.00914, N = 36.258006.260616.24930MIN: 6.16MIN: 6.17MIN: 6.151. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12315003000450060007500SE +/- 0.94, N = 3SE +/- 2.18, N = 3SE +/- 0.65, N = 36878.536895.476893.03MIN: 6871.8MIN: 6888.26MIN: 6888.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1238001600240032004000SE +/- 5.29, N = 3SE +/- 3.69, N = 3SE +/- 7.23, N = 33861.493919.443912.80MIN: 3846.99MIN: 3906.51MIN: 3898.831. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1231.17612.35223.52834.70445.8805SE +/- 0.00215, N = 3SE +/- 0.00474, N = 3SE +/- 0.00203, N = 35.216345.227005.22065MIN: 5.13MIN: 5.14MIN: 5.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile12360120180240300SE +/- 2.80, N = 3SE +/- 2.03, N = 3SE +/- 0.62, N = 3256.45255.15253.97

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 378.2978.4978.72

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215SE +/- 0.01, N = 5SE +/- 0.04, N = 5SE +/- 0.01, N = 511.8011.7911.781. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode123246810SE +/- 0.015, N = 5SE +/- 0.001, N = 5SE +/- 0.003, N = 58.6818.6738.6691. (CXX) g++ options: -fvisibility=hidden -logg -lm

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 312.0911.7011.961. Nodejs v10.19.0

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123714212835SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 330.0230.5430.52MIN: 29.92 / MAX: 32.26MIN: 30.39 / MAX: 32.95MIN: 30.38 / MAX: 41.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.777.917.91MIN: 7.69 / MAX: 9.24MIN: 7.8 / MAX: 9.34MIN: 7.81 / MAX: 9.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.366.476.46MIN: 6.28 / MAX: 8.57MIN: 6.39 / MAX: 7.84MIN: 6.38 / MAX: 7.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.278.278.28MIN: 8.21 / MAX: 9.64MIN: 8.2 / MAX: 9.58MIN: 8.21 / MAX: 9.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.106.166.18MIN: 6.06 / MAX: 6.3MIN: 6.13 / MAX: 6.78MIN: 6.14 / MAX: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01233691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 310.4210.6110.62MIN: 10.38 / MAX: 11.1MIN: 10.54 / MAX: 21.62MIN: 10.53 / MAX: 11.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.49950.9991.49851.9982.4975SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.212.212.22MIN: 2.19 / MAX: 2.36MIN: 2.18 / MAX: 2.36MIN: 2.19 / MAX: 2.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 321.1121.5321.60MIN: 21.01 / MAX: 21.38MIN: 21.46 / MAX: 21.73MIN: 21.43 / MAX: 23.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1612320406080100SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 394.5595.0995.30MIN: 94.38 / MAX: 104.51MIN: 94.82 / MAX: 100.68MIN: 95.02 / MAX: 106.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 321.3221.7221.73MIN: 21.19 / MAX: 22.93MIN: 21.58 / MAX: 32.84MIN: 21.59 / MAX: 321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet12348121620SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 316.9917.2217.25MIN: 16.88 / MAX: 18.17MIN: 17.01 / MAX: 17.67MIN: 17.02 / MAX: 18.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231020304050SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 344.9645.5245.53MIN: 44.79 / MAX: 55.13MIN: 45.37 / MAX: 56.39MIN: 45.34 / MAX: 55.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1231020304050SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 341.0441.8641.87MIN: 40.9 / MAX: 51.57MIN: 41.71 / MAX: 52.77MIN: 41.73 / MAX: 43.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 330.5631.1031.14MIN: 30.44 / MAX: 32.77MIN: 30.95 / MAX: 33.25MIN: 30.99 / MAX: 32.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123612182430SE +/- 0.06, N = 3SE +/- 11.54, N = 3SE +/- 0.05, N = 313.6725.2713.71MIN: 13.5 / MAX: 22.71MIN: 13.58 / MAX: 6946.79MIN: 13.57 / MAX: 15.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet123714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 330.0630.5130.52MIN: 29.89 / MAX: 39.07MIN: 30.39 / MAX: 32.56MIN: 30.38 / MAX: 39.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.787.927.94MIN: 7.67 / MAX: 9.29MIN: 7.82 / MAX: 9.34MIN: 7.82 / MAX: 16.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.366.476.48MIN: 6.27 / MAX: 7.47MIN: 6.4 / MAX: 7.78MIN: 6.42 / MAX: 7.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.278.298.28MIN: 8.2 / MAX: 9.55MIN: 8.23 / MAX: 10.54MIN: 8.22 / MAX: 9.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.126.176.18MIN: 6.06 / MAX: 6.31MIN: 6.13 / MAX: 6.91MIN: 6.14 / MAX: 6.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b01233691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.4210.6110.61MIN: 10.37 / MAX: 10.63MIN: 10.55 / MAX: 12.09MIN: 10.55 / MAX: 11.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface1230.49950.9991.49851.9982.4975SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.222.212.21MIN: 2.19 / MAX: 4.48MIN: 2.19 / MAX: 2.24MIN: 2.19 / MAX: 2.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet123510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 321.0721.5221.52MIN: 20.98 / MAX: 23MIN: 21.43 / MAX: 32.54MIN: 21.44 / MAX: 21.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1612320406080100SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 394.4895.1695.21MIN: 94.15 / MAX: 105.22MIN: 95 / MAX: 100.69MIN: 94.99 / MAX: 103.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 321.3221.6921.71MIN: 21.16 / MAX: 21.61MIN: 21.58 / MAX: 21.92MIN: 21.55 / MAX: 32.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet12348121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 317.0217.1217.12MIN: 16.88 / MAX: 25.44MIN: 17.01 / MAX: 19.43MIN: 17 / MAX: 17.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501231020304050SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 344.9245.5245.52MIN: 44.72 / MAX: 47.11MIN: 45.33 / MAX: 56.24MIN: 45.35 / MAX: 47.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny1231020304050SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 341.0041.8641.87MIN: 40.83 / MAX: 42.38MIN: 41.71 / MAX: 44.27MIN: 41.65 / MAX: 57.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd123714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 330.5431.0631.11MIN: 30.41 / MAX: 31.28MIN: 30.93 / MAX: 31.34MIN: 30.96 / MAX: 41.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m12348121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 313.6613.7513.72MIN: 13.58 / MAX: 14.34MIN: 13.65 / MAX: 14.33MIN: 13.59 / MAX: 16.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.01, N = 515.2115.2115.211. (CXX) g++ options: -rdynamic

Unpacking Firefox

Extracting: firefox-84.0.source.tar.xz

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz123510152025SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 418.3918.4218.42

Phoronix Test Suite v10.8.4