Core i5 8400 Xmas

1

HTML result view exported from: https://openbenchmarking.org/result/2012263-HA-COREI584007&sro.

Core i5 8400 XmasProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore i5 8400Core i5Intel 8400Intel Core i5-8400 @ 4.00GHz (6 Cores)MSI Z370M MORTAR (MS-7B54) v1.0 (1.80 BIOS)Intel 8th Gen Core8GB512GB INTEL SSDPEKNW512G8MSI Intel UHD 630 3GB (1050MHz)Realtek ALC892VA2431Intel I219-VUbuntu 20.045.9.0-050900rc7daily20200929-generic (x86_64) 20200928GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Core i5 8400 Xmasvkfft: vkresample: 2x - Doublevkresample: 2x - Singlevkmark: 1920 x 1080clomp: Static OMP Speeduphmmer: Pfam Database Searchsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDcrafty: Elapsed Timeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUrav1e: 1rav1e: 5rav1e: 6rav1e: 10coremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-clash: Time To Compilebuild-ffmpeg: Time To Compilebuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEencode-ogg: WAV To Oggencode-opus: WAV To Opus Encodenode-web-tooling: astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivesqlite-speedtest: Timed Time - Size 1,000ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - 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_400mncnn: Vulkan GPU - mnasnetopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUphpbench: PHP Benchmark Suiteencode-wavpack: WAV To WavPackunpack-firefox: firefox-84.0.source.tar.xzbrl-cad: VGR Performance MetricCore i5 8400Core i5Intel 840013381016.374450.9416932120.4740.640.390.580.677708585.389687.735453.656282.5312019.72157.347029.2950115.06499.426417.179994505.452536.864667.412588.683.651064617.762559.354.752810.3721.0691.4243.175163871.0979251018136814573443243.88797.363216.31383.39712.31222.5579.63711.378.169.2558.92465.7769.14021.195.664.716.484.777.741.9617.7568.5517.9213.9736.3631.1728.6113.0121.095.714.736.477.721.9617.7768.5817.9213.9736.3631.1328.6313.034.711.711693.501.681697.221.052758.381.032802.633845.170.733890.900.7367175516.25220.8226209013391005.161444.0366852120.5260.640.390.580.677741945.415707.210603.655942.5673619.58987.297559.2898414.81519.421427.176954448.062576.764493.002610.553.625644647.862600.744.754780.3721.0711.4283.178161387.5795231018440014660230243.90097.435216.91183.55112.34222.6099.63811.378.189.2658.95465.9769.27421.075.724.766.514.767.731.9717.7168.4617.9113.9536.2931.1128.6013.0321.095.724.756.487.691.9517.7468.5017.9113.9736.2831.1028.5512.894.731.751681.791.671754.351.042768.921.022830.053862.900.723865.630.7367198516.28320.8276225713381012.476443.1586732120.4670.640.390.580.678031905.412367.228573.653392.5707419.58577.317309.3264214.77949.430727.163354480.772578.344595.392601.083.626444616.942623.894.754720.3731.0721.4293.179149110.2869231029014214540504244.36597.203216.70783.45412.34722.5949.63211.338.209.2658.97466.3569.49821.105.664.736.474.727.701.9617.7368.6717.9113.9736.2731.1128.6312.9821.155.714.726.517.701.9617.7268.5017.9013.9836.2831.1128.6412.994.761.731693.851.661776.711.032827.161.032798.263931.930.743888.610.7466879616.26220.895OpenBenchmarking.org

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1Core i5Core i5 8400Intel 840030060090012001500SE +/- 0.88, N = 3SE +/- 1.00, N = 3SE +/- 1.33, N = 31339133813381. (CXX) g++ options: -O3 -pthread

VkResample

Upscale: 2x - Precision: Double

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleCore i5Core i5 8400Intel 84002004006008001000SE +/- 3.59, N = 3SE +/- 1.51, N = 3SE +/- 3.57, N = 31005.161016.371012.481. (CXX) g++ options: -O3 -pthread

VkResample

Upscale: 2x - Precision: Single

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleCore i5Core i5 8400Intel 8400100200300400500SE +/- 0.15, N = 3SE +/- 0.63, N = 3SE +/- 0.46, N = 3444.04450.94443.161. (CXX) g++ options: -O3 -pthread

VKMark

Resolution: 1920 x 1080

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080Core i5Core i5 8400Intel 8400150300450600750SE +/- 2.19, N = 3SE +/- 1.20, N = 36856936731. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupCore i5Core i5 8400Intel 84000.450.91.351.82.252221. (CC) gcc options: -fopenmp -O3 -lm

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchCore i5Core i5 8400Intel 8400306090120150SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3120.53120.47120.471. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaCore i5Core i5 8400Intel 84000.1440.2880.4320.5760.72SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.640.640.641. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomCore i5Core i5 8400Intel 84000.08780.17560.26340.35120.439SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.390.390.391. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsCore i5Core i5 8400Intel 84000.13050.2610.39150.5220.6525SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.580.580.581. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDCore i5Core i5 8400Intel 84000.1350.270.4050.540.675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.60.60.61. (CXX) g++ options: -O3 -pthread

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i5Core i5 8400Intel 84002M4M6M8M10MSE +/- 3270.32, N = 3SE +/- 6003.22, N = 3SE +/- 13931.88, N = 37774194777085878031901. (CC) gcc options: -pthread -lstdc++ -fprofile-use -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: CPUCore i5Core i5 8400Intel 84001.21852.4373.65554.8746.0925SE +/- 0.02564, N = 3SE +/- 0.00806, N = 3SE +/- 0.03815, N = 35.415705.389685.41236MIN: 5.22MIN: 5.29MIN: 5.221. (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: CPUCore i5Core i5 8400Intel 8400246810SE +/- 0.01907, N = 3SE +/- 0.01096, N = 3SE +/- 0.01481, N = 37.210607.735457.22857MIN: 7.11MIN: 7.63MIN: 7.121. (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: CPUCore i5Core i5 8400Intel 84000.82271.64542.46813.29084.1135SE +/- 0.00246, N = 3SE +/- 0.00475, N = 3SE +/- 0.00138, N = 33.655943.656283.65339MIN: 3.63MIN: 3.63MIN: 3.621. (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: CPUCore i5Core i5 8400Intel 84000.57841.15681.73522.31362.892SE +/- 0.00850, N = 3SE +/- 0.00605, N = 3SE +/- 0.01980, N = 32.567362.531202.57074MIN: 2.43MIN: 2.36MIN: 2.41. (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: CPUCore i5Core i5 8400Intel 8400510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 319.5919.7219.59MIN: 19.45MIN: 19.63MIN: 19.421. (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: CPUCore i5Core i5 8400Intel 8400246810SE +/- 0.00854, N = 3SE +/- 0.01020, N = 3SE +/- 0.00360, N = 37.297557.347027.31730MIN: 7.24MIN: 7.3MIN: 7.281. (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: CPUCore i5Core i5 8400Intel 84003691215SE +/- 0.01217, N = 3SE +/- 0.01915, N = 3SE +/- 0.00772, N = 39.289849.295019.32642MIN: 9.24MIN: 9.22MIN: 9.271. (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: CPUCore i5Core i5 8400Intel 840048121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 314.8215.0614.78MIN: 14.6MIN: 14.88MIN: 14.631. (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: CPUCore i5Core i5 8400Intel 84003691215SE +/- 0.00807, N = 3SE +/- 0.00494, N = 3SE +/- 0.00502, N = 39.421429.426419.43072MIN: 9.38MIN: 9.38MIN: 9.391. (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: CPUCore i5Core i5 8400Intel 8400246810SE +/- 0.00490, N = 3SE +/- 0.00173, N = 3SE +/- 0.00376, N = 37.176957.179997.16335MIN: 7.14MIN: 7.15MIN: 7.131. (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: CPUCore i5Core i5 8400Intel 840010002000300040005000SE +/- 43.51, N = 3SE +/- 51.73, N = 3SE +/- 67.76, N = 34448.064505.454480.77MIN: 4314.95MIN: 4361.09MIN: 4326.061. (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: CPUCore i5Core i5 8400Intel 84006001200180024003000SE +/- 0.95, N = 3SE +/- 27.10, N = 3SE +/- 28.34, N = 32576.762536.862578.34MIN: 2567.92MIN: 2490.87MIN: 2544.31. (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: CPUCore i5Core i5 8400Intel 840010002000300040005000SE +/- 24.58, N = 3SE +/- 2.35, N = 3SE +/- 55.90, N = 64493.004667.414595.39MIN: 4434.19MIN: 4653.14MIN: 4397.261. (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: CPUCore i5Core i5 8400Intel 84006001200180024003000SE +/- 37.41, N = 4SE +/- 2.67, N = 3SE +/- 10.06, N = 32610.552588.682601.08MIN: 2512.43MIN: 2519.01MIN: 2539.291. (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: CPUCore i5Core i5 8400Intel 84000.82151.6432.46453.2864.1075SE +/- 0.00246, N = 3SE +/- 0.00357, N = 3SE +/- 0.00347, N = 33.625643.651063.62644MIN: 3.57MIN: 3.6MIN: 3.571. (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: CPUCore i5Core i5 8400Intel 840010002000300040005000SE +/- 62.83, N = 3SE +/- 67.30, N = 3SE +/- 22.42, N = 34647.864617.764616.94MIN: 4443.22MIN: 4389.95MIN: 4449.951. (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: CPUCore i5Core i5 8400Intel 84006001200180024003000SE +/- 16.91, N = 3SE +/- 17.79, N = 3SE +/- 26.70, N = 32600.742559.352623.89MIN: 2561.65MIN: 2536.89MIN: 2553.851. (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: CPUCore i5Core i5 8400Intel 84001.06982.13963.20944.27925.349SE +/- 0.00165, N = 3SE +/- 0.00115, N = 3SE +/- 0.00543, N = 34.754784.752814.75472MIN: 4.72MIN: 4.71MIN: 4.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1Core i5Core i5 8400Intel 84000.08390.16780.25170.33560.4195SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.3720.3720.373

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5Core i5Core i5 8400Intel 84000.24120.48240.72360.96481.206SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 31.0711.0691.072

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6Core i5Core i5 8400Intel 84000.32150.6430.96451.2861.6075SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.4281.4241.429

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10Core i5Core i5 8400Intel 84000.71531.43062.14592.86123.5765SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 33.1783.1753.179

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i5Core i5 8400Intel 840040K80K120K160K200KSE +/- 1617.85, N = 15SE +/- 785.42, N = 3SE +/- 1631.13, N = 3161387.58163871.10149110.291. (CC) gcc options: -O2 -lrt" -lrt

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeCore i5Core i5 8400Intel 84002M4M6M8M10MSE +/- 38642.14, N = 3SE +/- 76681.35, N = 3SE +/- 138783.24, N = 31018440010181368102901421. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i5Core i5 8400Intel 84003M6M9M12M15MSE +/- 205028.37, N = 4SE +/- 86854.52, N = 3SE +/- 169022.11, N = 3146602301457344314540504

Timed Clash Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileCore i5Core i5 8400Intel 840050100150200250SE +/- 1.38, N = 3SE +/- 1.21, N = 3SE +/- 1.09, N = 3243.90243.89244.37

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i5Core i5 8400Intel 840020406080100SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 397.4497.3697.20

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileCore i5Core i5 8400Intel 840050100150200250SE +/- 0.22, N = 3SE +/- 1.00, N = 3SE +/- 0.97, N = 3216.91216.31216.71

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileCore i5Core i5 8400Intel 840020406080100SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 383.5583.4083.45

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APECore i5Core i5 8400Intel 84003691215SE +/- 0.03, N = 5SE +/- 0.04, N = 5SE +/- 0.03, N = 512.3412.3112.351. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Ogg Audio Encoding

WAV To Ogg

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To OggCore i5Core i5 8400Intel 8400510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 322.6122.5622.591. (CC) gcc options: -O2 -ffast-math -fsigned-char

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus EncodeCore i5Core i5 8400Intel 84003691215SE +/- 0.011, N = 5SE +/- 0.013, N = 5SE +/- 0.014, N = 59.6389.6379.6321. (CXX) g++ options: -fvisibility=hidden -logg -lm

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkCore i5Core i5 8400Intel 84003691215SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 311.3711.3711.331. Nodejs v10.19.0

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastCore i5Core i5 8400Intel 8400246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 38.188.168.201. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumCore i5Core i5 8400Intel 84003691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 39.269.259.261. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i5Core i5 8400Intel 84001326395265SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 358.9558.9258.971. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCore i5Core i5 8400Intel 8400100200300400500SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3465.97465.77466.351. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i5Core i5 8400Intel 84001530456075SE +/- 0.17, N = 3SE +/- 0.36, N = 3SE +/- 0.13, N = 369.2769.1469.501. (CC) gcc options: -O2 -ldl -lz -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetCore i5Core i5 8400Intel 8400510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 321.0721.1921.10MIN: 20.94 / MAX: 23.17MIN: 21.06 / MAX: 30.23MIN: 20.95 / MAX: 29.631. (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-v2Core i5Core i5 8400Intel 84001.2872.5743.8615.1486.435SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.725.665.66MIN: 5.58 / MAX: 6.84MIN: 5.59 / MAX: 6.96MIN: 5.57 / MAX: 6.921. (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-v3Core i5Core i5 8400Intel 84001.0712.1423.2134.2845.355SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.764.714.73MIN: 4.66 / MAX: 5.76MIN: 4.67 / MAX: 6.37MIN: 4.66 / MAX: 6.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Core i5Core i5 8400Intel 8400246810SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 36.516.486.47MIN: 6.41 / MAX: 7.81MIN: 6.43 / MAX: 7.79MIN: 6.37 / MAX: 7.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetCore i5Core i5 8400Intel 84001.07332.14663.21994.29325.3665SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 24.764.774.72MIN: 4.67 / MAX: 5.7MIN: 4.7 / MAX: 5.81MIN: 4.67 / MAX: 5.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Core i5Core i5 8400Intel 8400246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 37.737.747.70MIN: 7.67 / MAX: 9.21MIN: 7.67 / MAX: 8.84MIN: 7.67 / MAX: 7.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceCore i5Core i5 8400Intel 84000.44330.88661.32991.77322.2165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.971.961.96MIN: 1.94 / MAX: 2.01MIN: 1.94 / MAX: 2.03MIN: 1.94 / MAX: 1.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetCore i5Core i5 8400Intel 840048121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 317.7117.7517.73MIN: 17.59 / MAX: 18.72MIN: 17.61 / MAX: 18.56MIN: 17.59 / MAX: 18.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Core i5Core i5 8400Intel 84001530456075SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 368.4668.5568.67MIN: 68.24 / MAX: 77.34MIN: 68.35 / MAX: 76.31MIN: 68.48 / MAX: 77.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Core i5Core i5 8400Intel 840048121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 317.9117.9217.91MIN: 17.8 / MAX: 24.42MIN: 17.82 / MAX: 20.17MIN: 17.82 / MAX: 20.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetCore i5Core i5 8400Intel 840048121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.9513.9713.97MIN: 13.89 / MAX: 16.19MIN: 13.9 / MAX: 15.56MIN: 13.9 / MAX: 15.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Core i5Core i5 8400Intel 8400816243240SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 336.2936.3636.27MIN: 36.1 / MAX: 37.95MIN: 36.08 / MAX: 38.07MIN: 36.03 / MAX: 37.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyCore i5Core i5 8400Intel 8400714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 331.1131.1731.11MIN: 30.98 / MAX: 40.4MIN: 31.04 / MAX: 31.5MIN: 30.99 / MAX: 31.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdCore i5Core i5 8400Intel 8400714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 328.6028.6128.63MIN: 28.51 / MAX: 30.21MIN: 28.51 / MAX: 36.98MIN: 28.49 / MAX: 37.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mCore i5Core i5 8400Intel 84003691215SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 313.0313.0112.98MIN: 12.85 / MAX: 13.22MIN: 12.84 / MAX: 13.33MIN: 12.85 / MAX: 13.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetCore i5Core i5 8400Intel 8400510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 321.0921.0921.15MIN: 20.96 / MAX: 27.44MIN: 20.96 / MAX: 21.35MIN: 20.99 / MAX: 23.31. (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-v2Core i5Core i5 8400Intel 84001.2872.5743.8615.1486.435SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.725.715.71MIN: 5.62 / MAX: 7.09MIN: 5.63 / MAX: 6.73MIN: 5.64 / MAX: 6.781. (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-v3Core i5Core i5 8400Intel 84001.06882.13763.20644.27525.344SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.754.734.72MIN: 4.71 / MAX: 6.02MIN: 4.69 / MAX: 5.77MIN: 4.67 / MAX: 5.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2Core i5Core i5 8400Intel 8400246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.486.476.51MIN: 6.4 / MAX: 7.65MIN: 6.43 / MAX: 7.76MIN: 6.45 / MAX: 7.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0Core i5Core i5 8400Intel 8400246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.697.727.70MIN: 7.66 / MAX: 7.88MIN: 7.68 / MAX: 8.34MIN: 7.66 / MAX: 7.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceCore i5Core i5 8400Intel 84000.4410.8821.3231.7642.205SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.951.961.96MIN: 1.93 / MAX: 2.87MIN: 1.94 / MAX: 2.02MIN: 1.94 / MAX: 21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetCore i5Core i5 8400Intel 840048121620SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 317.7417.7717.72MIN: 17.57 / MAX: 19.98MIN: 17.59 / MAX: 19.32MIN: 17.6 / MAX: 19.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16Core i5Core i5 8400Intel 84001530456075SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 368.5068.5868.50MIN: 68.2 / MAX: 70.6MIN: 68.36 / MAX: 70.35MIN: 68.3 / MAX: 77.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18Core i5Core i5 8400Intel 840048121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 317.9117.9217.90MIN: 17.8 / MAX: 18.97MIN: 17.78 / MAX: 27.2MIN: 17.76 / MAX: 19.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetCore i5Core i5 8400Intel 840048121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 313.9713.9713.98MIN: 13.87 / MAX: 22.87MIN: 13.91 / MAX: 14.97MIN: 13.91 / MAX: 22.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50Core i5Core i5 8400Intel 8400816243240SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 336.2836.3636.28MIN: 36.02 / MAX: 45.46MIN: 36.12 / MAX: 45.54MIN: 36.03 / MAX: 37.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyCore i5Core i5 8400Intel 8400714212835SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 331.1031.1331.11MIN: 31 / MAX: 33.35MIN: 30.98 / MAX: 41.79MIN: 31.01 / MAX: 32.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdCore i5Core i5 8400Intel 8400714212835SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 328.5528.6328.64MIN: 28.47 / MAX: 30.79MIN: 28.52 / MAX: 30.87MIN: 28.54 / MAX: 30.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mCore i5Core i5 8400Intel 84003691215SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 312.8913.0312.99MIN: 12.82 / MAX: 13.49MIN: 12.89 / MAX: 15.41MIN: 12.86 / MAX: 14.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetCore i5Core i5 8400Intel 84001.0712.1423.2134.2845.355SE +/- 0.01, N = 2SE +/- 0.01, N = 2SE +/- 0.00, N = 24.734.714.76MIN: 4.68 / MAX: 6.08MIN: 4.67 / MAX: 5.89MIN: 4.71 / MAX: 6.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5Core i5 8400Intel 84000.39380.78761.18141.57521.969SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 41.751.711.73

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5Core i5 8400Intel 8400400800120016002000SE +/- 9.82, N = 3SE +/- 5.47, N = 3SE +/- 8.72, N = 41681.791693.501693.85

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5Core i5 8400Intel 84000.3780.7561.1341.5121.89SE +/- 0.02, N = 4SE +/- 0.00, N = 3SE +/- 0.03, N = 31.671.681.66

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5Core i5 8400Intel 8400400800120016002000SE +/- 60.12, N = 4SE +/- 5.52, N = 3SE +/- 73.63, N = 31754.351697.221776.71

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5Core i5 8400Intel 84000.23630.47260.70890.94521.1815SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 71.041.051.03

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5Core i5 8400Intel 84006001200180024003000SE +/- 16.83, N = 3SE +/- 7.01, N = 3SE +/- 55.41, N = 72768.922758.382827.16

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5Core i5 8400Intel 84000.23180.46360.69540.92721.159SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.021.031.03

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5Core i5 8400Intel 84006001200180024003000SE +/- 30.28, N = 3SE +/- 5.89, N = 3SE +/- 17.82, N = 32830.052802.632798.26

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5Core i5 8400Intel 84008001600240032004000SE +/- 28.98, N = 3SE +/- 55.43, N = 3SE +/- 20.01, N = 33862.903845.173931.93

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5Core i5 8400Intel 84000.16650.3330.49950.6660.8325SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.720.730.74

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5Core i5 8400Intel 84008001600240032004000SE +/- 5.82, N = 3SE +/- 15.60, N = 3SE +/- 64.90, N = 33865.633890.903888.61

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5Core i5 8400Intel 84000.16650.3330.49950.6660.8325SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.730.730.74

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i5Core i5 8400Intel 8400140K280K420K560K700KSE +/- 624.69, N = 3SE +/- 282.29, N = 3SE +/- 1118.88, N = 3671985671755668796

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackCore i5Core i5 8400Intel 840048121620SE +/- 0.03, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 516.2816.2516.261. (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.xzCore i5Core i5 8400Intel 8400510152025SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 420.8320.8220.90

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCore i5Core i5 840013K26K39K52K65K62257620901. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

Phoronix Test Suite v10.8.4