new t

Intel Core i7-8700K testing with a ASUS TUF Z370-PLUS GAMING (2001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012227-HA-NEWT8131768.

new tProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution123Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads)ASUS TUF Z370-PLUS GAMING (2001 BIOS)Intel 8th Gen Core16GB128GB THNSN5128GPU7 TOSHIBAASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDVA2431Intel I219-VUbuntu 20.045.9.0-050900rc6daily20200923-generic (x86_64) 20200922GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8OpenCL 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=/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 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

new tvkmark: 800 x 600vkmark: 1024 x 768vkmark: 1280 x 1024vkmark: 1920 x 1080clomp: Static OMP Speeduponednn: 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 - CPUbuild-eigen: Time To Compileencode-ape: WAV To APEencode-opus: WAV To Opus Encodencnn: 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 WavPack1233591233212387482.64.604909.386102.150932.3663117.06706.341739.0311015.97966.844314.248734026.062261.964024.582261.733.874234023.722400.843.9532371.06510.4778.17219.415.574.505.894.457.321.8615.6264.8816.0113.5631.3028.4920.6314.2219.415.574.475.874.417.301.8515.7464.9115.9713.5931.3228.4820.6914.1913.8403559235012187432.64.598369.408312.152892.3674017.05946.366309.0218215.99596.909044.253924020.252262.714022.062261.383.861304028.042261.233.9535171.29110.4258.16319.505.534.445.874.457.301.8515.6164.9315.9813.5531.3628.5120.6914.1919.455.544.485.854.437.291.8615.5964.8516.0113.5631.3628.5120.6314.0713.8373580238511937432.64.597939.379522.150512.3520417.06176.348829.0086715.99106.867864.255714022.242261.154021.822265.163.879044031.072262.483.9550371.09810.4488.15619.475.544.475.884.457.301.8515.6564.8415.9813.5631.2928.5320.6714.1719.555.544.455.884.457.291.8515.6064.8615.9913.5831.3928.6920.7914.1213.842OpenBenchmarking.org

VKMark

Resolution: 800 x 600

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 800 x 6001238001600240032004000SE +/- 5.36, N = 3SE +/- 7.31, N = 3SE +/- 3.61, N = 33591355935801. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VKMark

Resolution: 1024 x 768

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1024 x 7681235001000150020002500SE +/- 23.90, N = 3SE +/- 14.95, N = 3SE +/- 8.33, N = 32332235023851. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VKMark

Resolution: 1280 x 1024

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 102412330060090012001500SE +/- 4.91, N = 3SE +/- 7.97, N = 3SE +/- 6.23, N = 31238121811931. (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 1080123160320480640800SE +/- 3.53, N = 3SE +/- 1.76, N = 37487437431. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1230.5851.171.7552.342.925SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.62.62.61. (CC) gcc options: -fopenmp -O3 -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1231.03612.07223.10834.14445.1805SE +/- 0.00744, N = 3SE +/- 0.01045, N = 3SE +/- 0.00504, N = 34.604904.598364.59793MIN: 4.52MIN: 4.51MIN: 4.511. (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: CPU1233691215SE +/- 0.01206, N = 3SE +/- 0.02209, N = 3SE +/- 0.01451, N = 39.386109.408319.37952MIN: 9.24MIN: 9.23MIN: 9.221. (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: CPU1230.48440.96881.45321.93762.422SE +/- 0.00269, N = 3SE +/- 0.00195, N = 3SE +/- 0.00121, N = 32.150932.152892.15051MIN: 2.13MIN: 2.13MIN: 2.131. (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: CPU1230.53271.06541.59812.13082.6635SE +/- 0.00412, N = 3SE +/- 0.00682, N = 3SE +/- 0.00226, N = 32.366312.367402.35204MIN: 2.23MIN: 2.24MIN: 2.211. (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: CPU12348121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 317.0717.0617.06MIN: 16.99MIN: 16.98MIN: 16.971. (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: CPU123246810SE +/- 0.01002, N = 3SE +/- 0.01859, N = 3SE +/- 0.02342, N = 36.341736.366306.34882MIN: 6.28MIN: 6.29MIN: 6.271. (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 +/- 0.00790, N = 3SE +/- 0.00457, N = 3SE +/- 0.00799, N = 39.031109.021829.00867MIN: 8.98MIN: 8.99MIN: 8.971. (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: CPU12348121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 315.9816.0015.99MIN: 15.85MIN: 15.67MIN: 15.781. (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: CPU123246810SE +/- 0.06695, N = 3SE +/- 0.07138, N = 3SE +/- 0.05900, N = 36.844316.909046.86786MIN: 6.72MIN: 6.73MIN: 6.711. (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: CPU1230.95751.9152.87253.834.7875SE +/- 0.00274, N = 3SE +/- 0.00115, N = 3SE +/- 0.00558, N = 34.248734.253924.25571MIN: 4.22MIN: 4.23MIN: 4.221. (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: CPU1239001800270036004500SE +/- 0.86, N = 3SE +/- 1.12, N = 3SE +/- 0.74, N = 34026.064020.254022.24MIN: 4022.77MIN: 4015.7MIN: 4018.931. (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: CPU1235001000150020002500SE +/- 1.46, N = 3SE +/- 0.88, N = 3SE +/- 0.99, N = 32261.962262.712261.15MIN: 2257.28MIN: 2258.31MIN: 2257.271. (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: CPU1239001800270036004500SE +/- 1.01, N = 3SE +/- 1.69, N = 3SE +/- 1.47, N = 34024.584022.064021.82MIN: 4018.49MIN: 4016.14MIN: 4017.011. (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: CPU1235001000150020002500SE +/- 0.73, N = 3SE +/- 0.66, N = 3SE +/- 4.47, N = 32261.732261.382265.16MIN: 2258.19MIN: 2258.78MIN: 2257.921. (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: CPU1230.87281.74562.61843.49124.364SE +/- 0.00722, N = 3SE +/- 0.00368, N = 3SE +/- 0.00389, N = 33.874233.861303.87904MIN: 3.81MIN: 3.81MIN: 3.811. (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: CPU1239001800270036004500SE +/- 2.06, N = 3SE +/- 2.40, N = 3SE +/- 9.41, N = 34023.724028.044031.07MIN: 4016.98MIN: 4022.9MIN: 4017.541. (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: CPU1235001000150020002500SE +/- 137.85, N = 15SE +/- 0.91, N = 3SE +/- 2.17, N = 32400.842261.232262.48MIN: 2256.89MIN: 2257.77MIN: 2257.121. (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: CPU1230.88991.77982.66973.55964.4495SE +/- 0.00482, N = 3SE +/- 0.00528, N = 3SE +/- 0.00118, N = 33.953233.953513.95503MIN: 3.92MIN: 3.92MIN: 3.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile1231632486480SE +/- 0.16, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 371.0771.2971.10

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215SE +/- 0.03, N = 5SE +/- 0.03, N = 5SE +/- 0.03, N = 510.4810.4310.451. (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 +/- 0.003, N = 5SE +/- 0.002, N = 5SE +/- 0.001, N = 58.1728.1638.1561. (CXX) g++ options: -fvisibility=hidden -logg -lm

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet123510152025SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 319.4119.5019.47MIN: 19.33 / MAX: 21.12MIN: 19.36 / MAX: 29.78MIN: 19.34 / MAX: 30.051. (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-v21231.25332.50663.75995.01326.2665SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.575.535.54MIN: 5.47 / MAX: 6.73MIN: 5.44 / MAX: 6.77MIN: 5.47 / MAX: 6.691. (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-v31231.01252.0253.03754.055.0625SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 34.504.444.47MIN: 4.43 / MAX: 5.59MIN: 4.36 / MAX: 5.56MIN: 4.37 / MAX: 5.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21231.32532.65063.97595.30126.6265SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 35.895.875.88MIN: 5.85 / MAX: 6.98MIN: 5.81 / MAX: 7.06MIN: 5.82 / MAX: 7.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1231.00132.00263.00394.00525.0065SE +/- 0.04, N = 2SE +/- 0.01, N = 3SE +/- 0.03, N = 34.454.454.45MIN: 4.39 / MAX: 5.44MIN: 4.39 / MAX: 5.77MIN: 4.39 / MAX: 5.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0123246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 37.327.307.30MIN: 7.24 / MAX: 11.31MIN: 7.23 / MAX: 8.35MIN: 7.24 / MAX: 8.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.41850.8371.25551.6742.0925SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.861.851.85MIN: 1.84 / MAX: 1.9MIN: 1.83 / MAX: 1.91MIN: 1.83 / MAX: 1.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet12348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 315.6215.6115.65MIN: 15.5 / MAX: 16.32MIN: 15.5 / MAX: 16.33MIN: 15.47 / MAX: 25.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg161231428425670SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 364.8864.9364.84MIN: 64.74 / MAX: 75.06MIN: 64.8 / MAX: 74.13MIN: 64.7 / MAX: 74.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1812348121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.0115.9815.98MIN: 15.89 / MAX: 24.3MIN: 15.9 / MAX: 17.59MIN: 15.9 / MAX: 17.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.5613.5513.56MIN: 13.51 / MAX: 14.05MIN: 13.48 / MAX: 15.65MIN: 13.5 / MAX: 151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50123714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 331.3031.3631.29MIN: 31.06 / MAX: 33.71MIN: 31.14 / MAX: 32.11MIN: 31.1 / MAX: 31.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 328.4928.5128.53MIN: 28.36 / MAX: 38.25MIN: 28.41 / MAX: 29.9MIN: 28.43 / MAX: 30.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd123510152025SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 320.6320.6920.67MIN: 20.55 / MAX: 21.36MIN: 20.58 / MAX: 22.07MIN: 20.59 / MAX: 22.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m12348121620SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 314.2214.1914.17MIN: 14.1 / MAX: 15.63MIN: 14.1 / MAX: 24.51MIN: 14.03 / MAX: 16.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet123510152025SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 319.4119.4519.55MIN: 19.34 / MAX: 19.89MIN: 19.32 / MAX: 21.72MIN: 19.33 / MAX: 20.031. (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-v21231.25332.50663.75995.01326.2665SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.575.545.54MIN: 5.46 / MAX: 9.22MIN: 5.43 / MAX: 7.1MIN: 5.45 / MAX: 6.641. (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-v31231.0082.0163.0244.0325.04SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 34.474.484.45MIN: 4.42 / MAX: 5.58MIN: 4.42 / MAX: 13.3MIN: 4.4 / MAX: 5.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v21231.3232.6463.9695.2926.615SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.875.855.88MIN: 5.83 / MAX: 7.24MIN: 5.81 / MAX: 7.06MIN: 5.81 / MAX: 7.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet1231.00132.00263.00394.00525.0065SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.414.434.45MIN: 4.35 / MAX: 5.8MIN: 4.39 / MAX: 5.56MIN: 4.4 / MAX: 5.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0123246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.307.297.29MIN: 7.23 / MAX: 8.59MIN: 7.24 / MAX: 8.94MIN: 7.24 / MAX: 8.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface1230.41850.8371.25551.6742.0925SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.851.861.85MIN: 1.83 / MAX: 1.89MIN: 1.83 / MAX: 1.95MIN: 1.83 / MAX: 1.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet12348121620SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.7415.5915.60MIN: 15.5 / MAX: 36.76MIN: 15.48 / MAX: 16.36MIN: 15.47 / MAX: 17.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg161231428425670SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 364.9164.8564.86MIN: 64.74 / MAX: 75.24MIN: 64.7 / MAX: 66.78MIN: 64.76 / MAX: 66.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet1812348121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 315.9716.0115.99MIN: 15.89 / MAX: 16.15MIN: 15.85 / MAX: 25.67MIN: 15.89 / MAX: 16.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.5913.5613.58MIN: 13.52 / MAX: 21.89MIN: 13.48 / MAX: 14.36MIN: 13.5 / MAX: 23.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50123714212835SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 331.3231.3631.39MIN: 31.08 / MAX: 33.75MIN: 31.14 / MAX: 52.21MIN: 31.18 / MAX: 32.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny123714212835SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 328.4828.5128.69MIN: 28.39 / MAX: 29.93MIN: 28.4 / MAX: 37.47MIN: 28.42 / MAX: 39.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd123510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 320.6920.6320.79MIN: 20.55 / MAX: 30.08MIN: 20.56 / MAX: 21.21MIN: 20.56 / MAX: 22.371. (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 +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 314.1914.0714.12MIN: 14.09 / MAX: 15.75MIN: 14.01 / MAX: 17.02MIN: 13.98 / MAX: 15.81. (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 +/- 0.00, N = 513.8413.8413.841. (CXX) g++ options: -rdynamic

Phoronix Test Suite v10.8.4