Core i5 8400 Xmas

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Core i5 8400
December 25 2020
  6 Hours, 23 Minutes
Core i5
December 25 2020
  6 Hours, 32 Minutes
Intel 8400
December 26 2020
  6 Hours, 23 Minutes
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  6 Hours, 26 Minutes

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Core i5 8400 XmasOpenBenchmarking.orgPhoronix Test SuiteIntel 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 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore I5 8400 Xmas PerformanceSystem Logs- --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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 1.9.1 - Python 3.8.5- 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 8400Core i5Intel 8400Result OverviewPhoronix Test Suite100%102%105%107%CoremarkVKMarkVkResampleStockfishasmFishOpenVINOoneDNNSQLite SpeedtestPHPBenchCraftyUnpacking FirefoxNode.js V8 Web Tooling BenchmarkTimed FFmpeg CompilationMonkey Audio Encodingrav1eTimed Clash CompilationOgg Audio EncodingBuild2WavPack Audio EncodingASTC EncoderTimed Eigen CompilationVkFFTNCNNOpus Codec EncodingTimed HMMer SearchsimdjsonCLOMP

Core i5 8400 Xmascoremark: CoreMark Size 666 - Iterations Per Secondonednn: IP Shapes 3D - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUvkmark: 1920 x 1080openvino: Age Gender Recognition Retail 0013 FP16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUvkresample: 2x - Singleonednn: Recurrent Neural Network Inference - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUvkresample: 2x - Doublencnn: Vulkan GPU - regnety_400mstockfish: Total Timencnn: Vulkan GPU - mnasnetncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mnasnetopenvino: Person Detection 0106 FP32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUasmfish: 1024 Hash Memory, 26 Depthopenvino: Face Detection 0106 FP16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: CPU - shufflenet-v2ncnn: CPU - mobilenetncnn: CPU - efficientnet-b0sqlite-speedtest: Timed Time - Size 1,000ncnn: Vulkan GPU - blazefacencnn: CPU - blazefaceastcenc: Fastonednn: IP Shapes 1D - f32 - CPUphpbench: PHP Benchmark Suitecrafty: Elapsed Timeonednn: Deconvolution Batch shapes_3d - f32 - CPUncnn: Vulkan GPU - efficientnet-b0ncnn: CPU - regnety_400mnode-web-tooling: rav1e: 6unpack-firefox: firefox-84.0.source.tar.xzncnn: Vulkan GPU - squeezenet_ssdncnn: CPU - vgg16ncnn: Vulkan GPU - mobilenetencode-ape: WAV To APEncnn: Vulkan GPU - googlenetrav1e: 5build2: Time To Compilebrl-cad: VGR Performance Metricrav1e: 1ncnn: CPU - resnet50build-ffmpeg: Time To Compileonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUencode-ogg: WAV To Oggncnn: CPU - googlenetncnn: Vulkan GPU - resnet50build-clash: Time To Compilencnn: CPU - yolov4-tinyencode-wavpack: WAV To WavPackbuild-eigen: Time To Compilencnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: CPU - alexnetrav1e: 10astcenc: Exhaustivencnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18astcenc: Mediumncnn: CPU - squeezenet_ssdonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUncnn: Vulkan GPU - yolov4-tinyastcenc: Thoroughonednn: IP Shapes 1D - u8s8f32 - CPUvkfft: ncnn: Vulkan GPU - alexnetencode-opus: WAV To Opus Encodencnn: CPU - resnet18hmmer: Pfam Database Searchonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUsimdjson: DistinctUserIDsimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyaclomp: Static OMP Speedupopenvino: Face Detection 0106 FP32 - CPUCore i5 8400Core i5Intel 8400163871.0979257.735454667.416930.732559.352758.381.713845.171.0515.0649450.9412536.862.531200.734505.451.682802.631016.37413.03101813684.714.715.664.771.032588.68145734431693.503.6510619.72157.347024617.763890.904.736.476.4821.197.7469.1401.961.968.165.3896867175577708589.295017.7213.0111.371.42420.82228.6368.5521.0912.31217.771.069216.313620900.37236.3697.3637.1799922.55717.7536.36243.88731.1716.25283.3975.7113.973.175465.7768.5817.929.2528.619.4264131.1358.923.65628133813.979.63717.92120.4744.752810.60.580.390.6421697.22161387.5795237.210604493.006850.722600.742768.921.753862.901.0414.8151444.0362576.762.567360.734448.061.672830.051005.16112.89101844004.734.765.724.761.022610.55146602301681.793.6256419.58987.297554647.863865.634.756.486.5121.077.7369.2741.951.978.185.4157067198577741949.289847.6913.0311.371.42820.82728.5568.4621.0912.34217.741.071216.911622570.37236.2997.4357.1769522.60917.7136.28243.90031.1116.28383.5515.7213.953.178465.9768.5017.919.2628.609.4214231.1058.953.65594133913.979.63817.91120.5264.754780.60.580.390.6421754.35149110.2869237.228574595.396730.742623.892827.161.733931.931.0314.7794443.1582578.342.570740.744480.771.662798.261012.47612.99102901424.764.735.664.721.032601.08145405041693.853.6264419.58577.317304616.943888.614.726.516.4721.107.7069.4981.961.968.205.4123666879678031909.326427.7012.9811.331.42920.89528.6468.6721.1512.34717.721.072216.7070.37336.2797.2037.1633522.59417.7336.28244.36531.1116.26283.4545.7113.973.179466.3568.5017.909.2628.639.4307231.1158.973.65339133813.989.63217.91120.4674.754720.60.580.390.6421776.71OpenBenchmarking.org

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i5 8400Core i5Intel 840040K80K120K160K200KSE +/- 785.42, N = 3SE +/- 1617.85, N = 15SE +/- 1631.13, N = 3163871.10161387.58149110.291. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondCore i5 8400Core i5Intel 840030K60K90K120K150KMin: 162326.68 / Avg: 163871.1 / Max: 164891.79Min: 152129.82 / Avg: 161387.58 / Max: 171649.26Min: 146154.31 / Avg: 149110.29 / Max: 151783.461. (CC) gcc options: -O2 -lrt" -lrt

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 3D - Data Type: f32 - Engine: CPUCore i5 8400Core i5Intel 8400246810SE +/- 0.01096, N = 3SE +/- 0.01907, N = 3SE +/- 0.01481, N = 37.735457.210607.22857MIN: 7.63MIN: 7.11MIN: 7.121. (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: CPUCore i5 8400Core i5Intel 84003691215Min: 7.71 / Avg: 7.74 / Max: 7.75Min: 7.17 / Avg: 7.21 / Max: 7.24Min: 7.2 / Avg: 7.23 / Max: 7.241. (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: CPUCore i5 8400Core i5Intel 840010002000300040005000SE +/- 2.35, N = 3SE +/- 24.58, N = 3SE +/- 55.90, N = 64667.414493.004595.39MIN: 4653.14MIN: 4434.19MIN: 4397.261. (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: CPUCore i5 8400Core i5Intel 84008001600240032004000Min: 4663.78 / Avg: 4667.41 / Max: 4671.8Min: 4456.26 / Avg: 4493 / Max: 4539.67Min: 4429.78 / Avg: 4595.39 / Max: 4769.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

VKMark

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

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080Core i5 8400Core i5Intel 8400150300450600750SE +/- 2.19, N = 3SE +/- 1.20, N = 36936856731. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF
OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080Core i5 8400Core i5Intel 8400120240360480600Min: 682 / Avg: 684.67 / Max: 689Min: 671 / Avg: 673.33 / Max: 6751. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 8400Core i5Intel 84000.16650.3330.49950.6660.8325SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.730.720.74
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 8400Core i5Intel 8400246810Min: 0.73 / Avg: 0.73 / Max: 0.73Min: 0.72 / Avg: 0.72 / Max: 0.73Min: 0.73 / Avg: 0.74 / Max: 0.75

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: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUCore i5 8400Core i5Intel 84006001200180024003000SE +/- 17.79, N = 3SE +/- 16.91, N = 3SE +/- 26.70, N = 32559.352600.742623.89MIN: 2536.89MIN: 2561.65MIN: 2553.851. (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: CPUCore i5 8400Core i5Intel 84005001000150020002500Min: 2541.46 / Avg: 2559.35 / Max: 2594.93Min: 2573.74 / Avg: 2600.74 / Max: 2631.88Min: 2578.88 / Avg: 2623.89 / Max: 2671.291. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5 8400Core i5Intel 84006001200180024003000SE +/- 7.01, N = 3SE +/- 16.83, N = 3SE +/- 55.41, N = 72758.382768.922827.16
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5 8400Core i5Intel 84005001000150020002500Min: 2749.58 / Avg: 2758.38 / Max: 2772.23Min: 2744.18 / Avg: 2768.92 / Max: 2801.05Min: 2745.14 / Avg: 2827.16 / Max: 3157.03

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5 8400Core i5Intel 84000.39380.78761.18141.57521.969SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 41.711.751.73
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5 8400Core i5Intel 8400246810Min: 1.68 / Avg: 1.71 / Max: 1.76Min: 1.69 / Avg: 1.75 / Max: 1.78Min: 1.66 / Avg: 1.73 / Max: 1.77

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 8400Core i5Intel 84008001600240032004000SE +/- 55.43, N = 3SE +/- 28.98, N = 3SE +/- 20.01, N = 33845.173862.903931.93
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUCore i5 8400Core i5Intel 84007001400210028003500Min: 3789.11 / Avg: 3845.17 / Max: 3956.03Min: 3814.73 / Avg: 3862.9 / Max: 3914.89Min: 3901.67 / Avg: 3931.93 / Max: 3969.75

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5 8400Core i5Intel 84000.23630.47260.70890.94521.1815SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 71.051.041.03
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUCore i5 8400Core i5Intel 8400246810Min: 1.02 / Avg: 1.05 / Max: 1.08Min: 1.03 / Avg: 1.04 / Max: 1.06Min: 0.98 / Avg: 1.03 / Max: 1.08

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: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUCore i5 8400Core i5Intel 840048121620SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 315.0614.8214.78MIN: 14.88MIN: 14.6MIN: 14.631. (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: CPUCore i5 8400Core i5Intel 840048121620Min: 14.99 / Avg: 15.06 / Max: 15.13Min: 14.8 / Avg: 14.82 / Max: 14.84Min: 14.71 / Avg: 14.78 / Max: 14.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: SingleCore i5 8400Core i5Intel 8400100200300400500SE +/- 0.63, N = 3SE +/- 0.15, N = 3SE +/- 0.46, N = 3450.94444.04443.161. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleCore i5 8400Core i5Intel 840080160240320400Min: 450.02 / Avg: 450.94 / Max: 452.13Min: 443.76 / Avg: 444.04 / Max: 444.3Min: 442.25 / Avg: 443.16 / Max: 443.731. (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: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUCore i5 8400Core i5Intel 84006001200180024003000SE +/- 27.10, N = 3SE +/- 0.95, N = 3SE +/- 28.34, N = 32536.862576.762578.34MIN: 2490.87MIN: 2567.92MIN: 2544.31. (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: CPUCore i5 8400Core i5Intel 8400400800120016002000Min: 2498.47 / Avg: 2536.86 / Max: 2589.19Min: 2575.47 / Avg: 2576.76 / Max: 2578.61Min: 2549.62 / Avg: 2578.34 / Max: 2635.021. (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: CPUCore i5 8400Core i5Intel 84000.57841.15681.73522.31362.892SE +/- 0.00605, N = 3SE +/- 0.00850, N = 3SE +/- 0.01980, N = 32.531202.567362.57074MIN: 2.36MIN: 2.43MIN: 2.41. (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: CPUCore i5 8400Core i5Intel 8400246810Min: 2.52 / Avg: 2.53 / Max: 2.54Min: 2.55 / Avg: 2.57 / Max: 2.58Min: 2.53 / Avg: 2.57 / Max: 2.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5 8400Core i5Intel 84000.16650.3330.49950.6660.8325SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.730.730.74
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5 8400Core i5Intel 8400246810Min: 0.73 / Avg: 0.73 / Max: 0.74Min: 0.72 / Avg: 0.73 / Max: 0.73Min: 0.74 / Avg: 0.74 / Max: 0.74

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: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUCore i5 8400Core i5Intel 840010002000300040005000SE +/- 51.73, N = 3SE +/- 43.51, N = 3SE +/- 67.76, N = 34505.454448.064480.77MIN: 4361.09MIN: 4314.95MIN: 4326.061. (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: CPUCore i5 8400Core i5Intel 84008001600240032004000Min: 4416.98 / Avg: 4505.45 / Max: 4596.13Min: 4379.75 / Avg: 4448.06 / Max: 4528.9Min: 4356.86 / Avg: 4480.77 / Max: 4590.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5 8400Core i5Intel 84000.3780.7561.1341.5121.89SE +/- 0.00, N = 3SE +/- 0.02, N = 4SE +/- 0.03, N = 31.681.671.66
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5 8400Core i5Intel 8400246810Min: 1.68 / Avg: 1.68 / Max: 1.69Min: 1.6 / Avg: 1.67 / Max: 1.7Min: 1.61 / Avg: 1.66 / Max: 1.7

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5 8400Core i5Intel 84006001200180024003000SE +/- 5.89, N = 3SE +/- 30.28, N = 3SE +/- 17.82, N = 32802.632830.052798.26
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5 8400Core i5Intel 84005001000150020002500Min: 2793.44 / Avg: 2802.63 / Max: 2813.61Min: 2773.42 / Avg: 2830.05 / Max: 2876.97Min: 2764.84 / Avg: 2798.26 / Max: 2825.71

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: DoubleCore i5 8400Core i5Intel 84002004006008001000SE +/- 1.51, N = 3SE +/- 3.59, N = 3SE +/- 3.57, N = 31016.371005.161012.481. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleCore i5 8400Core i5Intel 84002004006008001000Min: 1014.26 / Avg: 1016.37 / Max: 1019.3Min: 1000.17 / Avg: 1005.16 / Max: 1012.13Min: 1008.04 / Avg: 1012.48 / Max: 1019.551. (CXX) g++ options: -O3 -pthread

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: Vulkan GPU - Model: regnety_400mCore i5 8400Core i5Intel 84003691215SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 313.0312.8912.99MIN: 12.89 / MAX: 15.41MIN: 12.82 / MAX: 13.49MIN: 12.86 / MAX: 14.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400mCore i5 8400Core i5Intel 840048121620Min: 12.95 / Avg: 13.03 / Max: 13.12Min: 12.86 / Avg: 12.89 / Max: 12.93Min: 12.92 / Avg: 12.99 / Max: 13.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeCore i5 8400Core i5Intel 84002M4M6M8M10MSE +/- 76681.35, N = 3SE +/- 38642.14, N = 3SE +/- 138783.24, N = 31018136810184400102901421. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeCore i5 8400Core i5Intel 84002M4M6M8M10MMin: 10096781 / Avg: 10181368 / Max: 10334449Min: 10129900 / Avg: 10184400.33 / Max: 10259105Min: 10021253 / Avg: 10290142 / Max: 104842221. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

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: Vulkan GPU - Model: mnasnetCore i5 8400Core i5Intel 84001.0712.1423.2134.2845.355SE +/- 0.01, N = 2SE +/- 0.01, N = 2SE +/- 0.00, N = 24.714.734.76MIN: 4.67 / MAX: 5.89MIN: 4.68 / MAX: 6.08MIN: 4.71 / MAX: 6.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnetCore i5 8400Core i5Intel 8400246810Min: 4.7 / Avg: 4.71 / Max: 4.72Min: 4.72 / Avg: 4.73 / Max: 4.73Min: 4.75 / Avg: 4.76 / Max: 4.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Core i5 8400Core i5Intel 84001.0712.1423.2134.2845.355SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 34.714.764.73MIN: 4.67 / MAX: 6.37MIN: 4.66 / MAX: 5.76MIN: 4.66 / MAX: 6.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Core i5 8400Core i5Intel 8400246810Min: 4.69 / Avg: 4.71 / Max: 4.73Min: 4.71 / Avg: 4.76 / Max: 4.8Min: 4.71 / Avg: 4.73 / Max: 4.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Core i5 8400Core i5Intel 84001.2872.5743.8615.1486.435SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 35.665.725.66MIN: 5.59 / MAX: 6.96MIN: 5.58 / MAX: 6.84MIN: 5.57 / MAX: 6.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Core i5 8400Core i5Intel 8400246810Min: 5.64 / Avg: 5.66 / Max: 5.68Min: 5.64 / Avg: 5.72 / Max: 5.79Min: 5.62 / Avg: 5.66 / Max: 5.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetCore i5 8400Core i5Intel 84001.07332.14663.21994.29325.3665SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 24.774.764.72MIN: 4.7 / MAX: 5.81MIN: 4.67 / MAX: 5.7MIN: 4.67 / MAX: 5.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetCore i5 8400Core i5Intel 8400246810Min: 4.72 / Avg: 4.77 / Max: 4.82Min: 4.7 / Avg: 4.76 / Max: 4.81Min: 4.69 / Avg: 4.72 / Max: 4.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5 8400Core i5Intel 84000.23180.46360.69540.92721.159SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.031.021.03
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUCore i5 8400Core i5Intel 8400246810Min: 1.03 / Avg: 1.03 / Max: 1.03Min: 1.01 / Avg: 1.02 / Max: 1.04Min: 1.02 / Avg: 1.03 / Max: 1.05

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: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUCore i5 8400Core i5Intel 84006001200180024003000SE +/- 2.67, N = 3SE +/- 37.41, N = 4SE +/- 10.06, N = 32588.682610.552601.08MIN: 2519.01MIN: 2512.43MIN: 2539.291. (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: CPUCore i5 8400Core i5Intel 84005001000150020002500Min: 2584.94 / Avg: 2588.68 / Max: 2593.85Min: 2572.97 / Avg: 2610.55 / Max: 2722.77Min: 2581.99 / Avg: 2601.08 / Max: 2616.151. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i5 8400Core i5Intel 84003M6M9M12M15MSE +/- 86854.52, N = 3SE +/- 205028.37, N = 4SE +/- 169022.11, N = 3145734431466023014540504
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore i5 8400Core i5Intel 84003M6M9M12M15MMin: 14401309 / Avg: 14573442.67 / Max: 14679724Min: 14220715 / Avg: 14660230 / Max: 15187983Min: 14217380 / Avg: 14540504 / Max: 14788081

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5 8400Core i5Intel 8400400800120016002000SE +/- 5.47, N = 3SE +/- 9.82, N = 3SE +/- 8.72, N = 41693.501681.791693.85
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUCore i5 8400Core i5Intel 840030060090012001500Min: 1684.1 / Avg: 1693.5 / Max: 1703.04Min: 1666.36 / Avg: 1681.79 / Max: 1700.04Min: 1677.4 / Avg: 1693.85 / Max: 1718

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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUCore i5 8400Core i5Intel 84000.82151.6432.46453.2864.1075SE +/- 0.00357, N = 3SE +/- 0.00246, N = 3SE +/- 0.00347, N = 33.651063.625643.62644MIN: 3.6MIN: 3.57MIN: 3.571. (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: CPUCore i5 8400Core i5Intel 8400246810Min: 3.64 / Avg: 3.65 / Max: 3.66Min: 3.62 / Avg: 3.63 / Max: 3.63Min: 3.62 / Avg: 3.63 / Max: 3.631. (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: CPUCore i5 8400Core i5Intel 8400510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 319.7219.5919.59MIN: 19.63MIN: 19.45MIN: 19.421. (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: CPUCore i5 8400Core i5Intel 8400510152025Min: 19.7 / Avg: 19.72 / Max: 19.76Min: 19.55 / Avg: 19.59 / Max: 19.64Min: 19.57 / Avg: 19.59 / Max: 19.61. (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: CPUCore i5 8400Core i5Intel 8400246810SE +/- 0.01020, N = 3SE +/- 0.00854, N = 3SE +/- 0.00360, N = 37.347027.297557.31730MIN: 7.3MIN: 7.24MIN: 7.281. (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: CPUCore i5 8400Core i5Intel 84003691215Min: 7.33 / Avg: 7.35 / Max: 7.37Min: 7.28 / Avg: 7.3 / Max: 7.31Min: 7.31 / Avg: 7.32 / Max: 7.321. (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: CPUCore i5 8400Core i5Intel 840010002000300040005000SE +/- 67.30, N = 3SE +/- 62.83, N = 3SE +/- 22.42, N = 34617.764647.864616.94MIN: 4389.95MIN: 4443.22MIN: 4449.951. (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: CPUCore i5 8400Core i5Intel 84008001600240032004000Min: 4485.46 / Avg: 4617.76 / Max: 4705.39Min: 4525.29 / Avg: 4647.86 / Max: 4733.15Min: 4586.15 / Avg: 4616.94 / Max: 4660.571. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5 8400Core i5Intel 84008001600240032004000SE +/- 15.60, N = 3SE +/- 5.82, N = 3SE +/- 64.90, N = 33890.903865.633888.61
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUCore i5 8400Core i5Intel 84007001400210028003500Min: 3860.49 / Avg: 3890.9 / Max: 3912.11Min: 3859.39 / Avg: 3865.63 / Max: 3877.25Min: 3780.26 / Avg: 3888.61 / Max: 4004.68

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: Vulkan GPU-v3-v3 - Model: mobilenet-v3Core i5 8400Core i5Intel 84001.06882.13763.20644.27525.344SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.734.754.72MIN: 4.69 / MAX: 5.77MIN: 4.71 / MAX: 6.02MIN: 4.67 / MAX: 5.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Core i5 8400Core i5Intel 8400246810Min: 4.72 / Avg: 4.73 / Max: 4.73Min: 4.74 / Avg: 4.75 / Max: 4.76Min: 4.71 / Avg: 4.72 / Max: 4.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2Core i5 8400Core i5Intel 8400246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 36.476.486.51MIN: 6.43 / MAX: 7.76MIN: 6.4 / MAX: 7.65MIN: 6.45 / MAX: 7.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v2Core i5 8400Core i5Intel 84003691215Min: 6.46 / Avg: 6.47 / Max: 6.49Min: 6.45 / Avg: 6.48 / Max: 6.52Min: 6.5 / Avg: 6.51 / Max: 6.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Core i5 8400Core i5Intel 8400246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 36.486.516.47MIN: 6.43 / MAX: 7.79MIN: 6.41 / MAX: 7.81MIN: 6.37 / MAX: 7.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Core i5 8400Core i5Intel 84003691215Min: 6.46 / Avg: 6.48 / Max: 6.52Min: 6.42 / Avg: 6.51 / Max: 6.57Min: 6.42 / Avg: 6.47 / Max: 6.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetCore i5 8400Core i5Intel 8400510152025SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 321.1921.0721.10MIN: 21.06 / MAX: 30.23MIN: 20.94 / MAX: 23.17MIN: 20.95 / MAX: 29.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetCore i5 8400Core i5Intel 8400510152025Min: 21.13 / Avg: 21.19 / Max: 21.27Min: 21.03 / Avg: 21.07 / Max: 21.09Min: 21.06 / Avg: 21.1 / Max: 21.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Core i5 8400Core i5Intel 8400246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.747.737.70MIN: 7.67 / MAX: 8.84MIN: 7.67 / MAX: 9.21MIN: 7.67 / MAX: 7.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Core i5 8400Core i5Intel 84003691215Min: 7.69 / Avg: 7.74 / Max: 7.8Min: 7.7 / Avg: 7.73 / Max: 7.76Min: 7.69 / Avg: 7.7 / Max: 7.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i5 8400Core i5Intel 84001530456075SE +/- 0.36, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 369.1469.2769.501. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core i5 8400Core i5Intel 84001326395265Min: 68.71 / Avg: 69.14 / Max: 69.86Min: 69.03 / Avg: 69.27 / Max: 69.61Min: 69.32 / Avg: 69.5 / Max: 69.741. (CC) gcc options: -O2 -ldl -lz -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceCore i5 8400Core i5Intel 84000.4410.8821.3231.7642.205SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.961.951.96MIN: 1.94 / MAX: 2.02MIN: 1.93 / MAX: 2.87MIN: 1.94 / MAX: 21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazefaceCore i5 8400Core i5Intel 8400246810Min: 1.95 / Avg: 1.96 / Max: 1.97Min: 1.95 / Avg: 1.95 / Max: 1.96Min: 1.95 / Avg: 1.96 / Max: 1.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceCore i5 8400Core i5Intel 84000.44330.88661.32991.77322.2165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.961.971.96MIN: 1.94 / MAX: 2.03MIN: 1.94 / MAX: 2.01MIN: 1.94 / MAX: 1.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceCore i5 8400Core i5Intel 8400246810Min: 1.96 / Avg: 1.96 / Max: 1.97Min: 1.96 / Avg: 1.97 / Max: 1.97Min: 1.96 / Avg: 1.96 / Max: 1.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastCore i5 8400Core i5Intel 8400246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.168.188.201. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastCore i5 8400Core i5Intel 84003691215Min: 8.14 / Avg: 8.16 / Max: 8.19Min: 8.16 / Avg: 8.18 / Max: 8.2Min: 8.18 / Avg: 8.2 / Max: 8.221. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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: CPUCore i5 8400Core i5Intel 84001.21852.4373.65554.8746.0925SE +/- 0.00806, N = 3SE +/- 0.02564, N = 3SE +/- 0.03815, N = 35.389685.415705.41236MIN: 5.29MIN: 5.22MIN: 5.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUCore i5 8400Core i5Intel 8400246810Min: 5.37 / Avg: 5.39 / Max: 5.4Min: 5.38 / Avg: 5.42 / Max: 5.47Min: 5.37 / Avg: 5.41 / Max: 5.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i5 8400Core i5Intel 8400140K280K420K560K700KSE +/- 282.29, N = 3SE +/- 624.69, N = 3SE +/- 1118.88, N = 3671755671985668796
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore i5 8400Core i5Intel 8400120K240K360K480K600KMin: 671311 / Avg: 671755 / Max: 672279Min: 670795 / Avg: 671984.67 / Max: 672910Min: 667402 / Avg: 668796 / Max: 671009

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i5 8400Core i5Intel 84002M4M6M8M10MSE +/- 6003.22, N = 3SE +/- 3270.32, N = 3SE +/- 13931.88, N = 37770858777419478031901. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeCore i5 8400Core i5Intel 84001.4M2.8M4.2M5.6M7MMin: 7759047 / Avg: 7770858 / Max: 7778632Min: 7767770 / Avg: 7774194 / Max: 7778471Min: 7780609 / Avg: 7803190.33 / Max: 78286181. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUCore i5 8400Core i5Intel 84003691215SE +/- 0.01915, N = 3SE +/- 0.01217, N = 3SE +/- 0.00772, N = 39.295019.289849.32642MIN: 9.22MIN: 9.24MIN: 9.271. (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: CPUCore i5 8400Core i5Intel 84003691215Min: 9.26 / Avg: 9.3 / Max: 9.32Min: 9.27 / Avg: 9.29 / Max: 9.31Min: 9.31 / Avg: 9.33 / Max: 9.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0Core i5 8400Core i5Intel 8400246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.727.697.70MIN: 7.68 / MAX: 8.34MIN: 7.66 / MAX: 7.88MIN: 7.66 / MAX: 7.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b0Core i5 8400Core i5Intel 84003691215Min: 7.7 / Avg: 7.72 / Max: 7.75Min: 7.68 / Avg: 7.69 / Max: 7.7Min: 7.69 / Avg: 7.7 / Max: 7.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mCore i5 8400Core i5Intel 84003691215SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 313.0113.0312.98MIN: 12.84 / MAX: 13.33MIN: 12.85 / MAX: 13.22MIN: 12.85 / MAX: 13.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mCore i5 8400Core i5Intel 840048121620Min: 12.89 / Avg: 13.01 / Max: 13.09Min: 12.92 / Avg: 13.03 / Max: 13.1Min: 12.93 / Avg: 12.98 / Max: 13.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 BenchmarkCore i5 8400Core i5Intel 84003691215SE +/- 0.02, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 311.3711.3711.331. Nodejs v10.19.0
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkCore i5 8400Core i5Intel 84003691215Min: 11.32 / Avg: 11.37 / Max: 11.4Min: 11 / Avg: 11.37 / Max: 11.58Min: 11.13 / Avg: 11.33 / Max: 11.431. Nodejs v10.19.0

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6Core i5 8400Core i5Intel 84000.32150.6430.96451.2861.6075SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 31.4241.4281.429
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6Core i5 8400Core i5Intel 8400246810Min: 1.42 / Avg: 1.42 / Max: 1.43Min: 1.43 / Avg: 1.43 / Max: 1.43Min: 1.43 / Avg: 1.43 / Max: 1.43

Unpacking Firefox

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

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzCore i5 8400Core i5Intel 8400510152025SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 420.8220.8320.90
OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzCore i5 8400Core i5Intel 8400510152025Min: 20.76 / Avg: 20.82 / Max: 20.92Min: 20.77 / Avg: 20.83 / Max: 20.93Min: 20.82 / Avg: 20.9 / Max: 20.97

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: Vulkan GPU - Model: squeezenet_ssdCore i5 8400Core i5Intel 8400714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 328.6328.5528.64MIN: 28.52 / MAX: 30.87MIN: 28.47 / MAX: 30.79MIN: 28.54 / MAX: 30.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssdCore i5 8400Core i5Intel 8400612182430Min: 28.58 / Avg: 28.63 / Max: 28.67Min: 28.52 / Avg: 28.55 / Max: 28.56Min: 28.6 / Avg: 28.64 / Max: 28.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Core i5 8400Core i5Intel 84001530456075SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 368.5568.4668.67MIN: 68.35 / MAX: 76.31MIN: 68.24 / MAX: 77.34MIN: 68.48 / MAX: 77.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Core i5 8400Core i5Intel 84001326395265Min: 68.46 / Avg: 68.55 / Max: 68.62Min: 68.44 / Avg: 68.46 / Max: 68.47Min: 68.61 / Avg: 68.67 / Max: 68.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetCore i5 8400Core i5Intel 8400510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 321.0921.0921.15MIN: 20.96 / MAX: 21.35MIN: 20.96 / MAX: 27.44MIN: 20.99 / MAX: 23.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenetCore i5 8400Core i5Intel 8400510152025Min: 21.08 / Avg: 21.09 / Max: 21.1Min: 21.06 / Avg: 21.09 / Max: 21.1Min: 21.14 / Avg: 21.15 / Max: 21.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 APECore i5 8400Core i5Intel 84003691215SE +/- 0.04, N = 5SE +/- 0.03, N = 5SE +/- 0.03, N = 512.3112.3412.351. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APECore i5 8400Core i5Intel 840048121620Min: 12.26 / Avg: 12.31 / Max: 12.45Min: 12.29 / Avg: 12.34 / Max: 12.46Min: 12.26 / Avg: 12.35 / Max: 12.441. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

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: Vulkan GPU - Model: googlenetCore i5 8400Core i5Intel 840048121620SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 317.7717.7417.72MIN: 17.59 / MAX: 19.32MIN: 17.57 / MAX: 19.98MIN: 17.6 / MAX: 19.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenetCore i5 8400Core i5Intel 840048121620Min: 17.77 / Avg: 17.77 / Max: 17.77Min: 17.7 / Avg: 17.74 / Max: 17.76Min: 17.71 / Avg: 17.72 / Max: 17.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5Core i5 8400Core i5Intel 84000.24120.48240.72360.96481.206SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 31.0691.0711.072
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5Core i5 8400Core i5Intel 8400246810Min: 1.07 / Avg: 1.07 / Max: 1.07Min: 1.07 / Avg: 1.07 / Max: 1.07Min: 1.07 / Avg: 1.07 / Max: 1.07

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 CompileCore i5 8400Core i5Intel 840050100150200250SE +/- 1.00, N = 3SE +/- 0.22, N = 3SE +/- 0.97, N = 3216.31216.91216.71
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileCore i5 8400Core i5Intel 84004080120160200Min: 215.24 / Avg: 216.31 / Max: 218.31Min: 216.61 / Avg: 216.91 / Max: 217.35Min: 215.07 / Avg: 216.71 / Max: 218.44

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricCore i5 8400Core i513K26K39K52K65K62090622571. (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

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1Core i5 8400Core i5Intel 84000.08390.16780.25170.33560.4195SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.3720.3720.373
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1Core i5 8400Core i5Intel 840012345Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37

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: resnet50Core i5 8400Core i5Intel 8400816243240SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 336.3636.2936.27MIN: 36.08 / MAX: 38.07MIN: 36.1 / MAX: 37.95MIN: 36.03 / MAX: 37.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Core i5 8400Core i5Intel 8400816243240Min: 36.29 / Avg: 36.36 / Max: 36.43Min: 36.25 / Avg: 36.29 / Max: 36.34Min: 36.24 / Avg: 36.27 / Max: 36.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i5 8400Core i5Intel 840020406080100SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 397.3697.4497.20
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileCore i5 8400Core i5Intel 840020406080100Min: 97.29 / Avg: 97.36 / Max: 97.41Min: 97.33 / Avg: 97.44 / Max: 97.61Min: 97.17 / Avg: 97.2 / Max: 97.23

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: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUCore i5 8400Core i5Intel 8400246810SE +/- 0.00173, N = 3SE +/- 0.00490, N = 3SE +/- 0.00376, N = 37.179997.176957.16335MIN: 7.15MIN: 7.14MIN: 7.131. (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: CPUCore i5 8400Core i5Intel 84003691215Min: 7.18 / Avg: 7.18 / Max: 7.18Min: 7.17 / Avg: 7.18 / Max: 7.18Min: 7.16 / Avg: 7.16 / Max: 7.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 OggCore i5 8400Core i5Intel 8400510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 322.5622.6122.591. (CC) gcc options: -O2 -ffast-math -fsigned-char
OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To OggCore i5 8400Core i5Intel 8400510152025Min: 22.54 / Avg: 22.56 / Max: 22.59Min: 22.56 / Avg: 22.61 / Max: 22.66Min: 22.52 / Avg: 22.59 / Max: 22.641. (CC) gcc options: -O2 -ffast-math -fsigned-char

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: googlenetCore i5 8400Core i5Intel 840048121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 317.7517.7117.73MIN: 17.61 / MAX: 18.56MIN: 17.59 / MAX: 18.72MIN: 17.59 / MAX: 18.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetCore i5 8400Core i5Intel 840048121620Min: 17.72 / Avg: 17.75 / Max: 17.79Min: 17.68 / Avg: 17.71 / Max: 17.74Min: 17.69 / Avg: 17.73 / Max: 17.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50Core i5 8400Core i5Intel 8400816243240SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 336.3636.2836.28MIN: 36.12 / MAX: 45.54MIN: 36.02 / MAX: 45.46MIN: 36.03 / MAX: 37.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet50Core i5 8400Core i5Intel 8400816243240Min: 36.3 / Avg: 36.36 / Max: 36.46Min: 36.22 / Avg: 36.28 / Max: 36.31Min: 36.26 / Avg: 36.28 / Max: 36.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed Clash Compilation

Build the clash-lang Haskell to VHDL/Verilog/SystemVerilog compiler with GHC 8.10.1 Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileCore i5 8400Core i5Intel 840050100150200250SE +/- 1.21, N = 3SE +/- 1.38, N = 3SE +/- 1.09, N = 3243.89243.90244.37
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileCore i5 8400Core i5Intel 84004080120160200Min: 242.07 / Avg: 243.89 / Max: 246.19Min: 242.18 / Avg: 243.9 / Max: 246.63Min: 243.13 / Avg: 244.37 / Max: 246.54

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: yolov4-tinyCore i5 8400Core i5Intel 8400714212835SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 331.1731.1131.11MIN: 31.04 / MAX: 31.5MIN: 30.98 / MAX: 40.4MIN: 30.99 / MAX: 31.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyCore i5 8400Core i5Intel 8400714212835Min: 31.14 / Avg: 31.17 / Max: 31.21Min: 31.08 / Avg: 31.11 / Max: 31.16Min: 31.08 / Avg: 31.11 / Max: 31.141. (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 WavPackCore i5 8400Core i5Intel 840048121620SE +/- 0.00, N = 5SE +/- 0.03, N = 5SE +/- 0.00, N = 516.2516.2816.261. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackCore i5 8400Core i5Intel 840048121620Min: 16.25 / Avg: 16.25 / Max: 16.26Min: 16.25 / Avg: 16.28 / Max: 16.39Min: 16.26 / Avg: 16.26 / Max: 16.261. (CXX) g++ options: -rdynamic

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 CompileCore i5 8400Core i5Intel 840020406080100SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 383.4083.5583.45
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileCore i5 8400Core i5Intel 84001632486480Min: 83.26 / Avg: 83.4 / Max: 83.6Min: 83.37 / Avg: 83.55 / Max: 83.81Min: 83.37 / Avg: 83.45 / Max: 83.55

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: Vulkan GPU-v2-v2 - Model: mobilenet-v2Core i5 8400Core i5Intel 84001.2872.5743.8615.1486.435SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.715.725.71MIN: 5.63 / MAX: 6.73MIN: 5.62 / MAX: 7.09MIN: 5.64 / MAX: 6.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Core i5 8400Core i5Intel 8400246810Min: 5.7 / Avg: 5.71 / Max: 5.71Min: 5.71 / Avg: 5.72 / Max: 5.73Min: 5.7 / Avg: 5.71 / Max: 5.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetCore i5 8400Core i5Intel 840048121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.9713.9513.97MIN: 13.9 / MAX: 15.56MIN: 13.89 / MAX: 16.19MIN: 13.9 / MAX: 15.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetCore i5 8400Core i5Intel 840048121620Min: 13.95 / Avg: 13.97 / Max: 13.98Min: 13.94 / Avg: 13.95 / Max: 13.98Min: 13.96 / Avg: 13.97 / Max: 13.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10Core i5 8400Core i5Intel 84000.71531.43062.14592.86123.5765SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 33.1753.1783.179
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10Core i5 8400Core i5Intel 8400246810Min: 3.17 / Avg: 3.18 / Max: 3.18Min: 3.17 / Avg: 3.18 / Max: 3.18Min: 3.18 / Avg: 3.18 / Max: 3.18

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCore i5 8400Core i5Intel 8400100200300400500SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3465.77465.97466.351. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveCore i5 8400Core i5Intel 840080160240320400Min: 465.67 / Avg: 465.77 / Max: 465.83Min: 465.93 / Avg: 465.97 / Max: 466.04Min: 466.14 / Avg: 466.35 / Max: 466.491. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16Core i5 8400Core i5Intel 84001530456075SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 368.5868.5068.50MIN: 68.36 / MAX: 70.35MIN: 68.2 / MAX: 70.6MIN: 68.3 / MAX: 77.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16Core i5 8400Core i5Intel 84001326395265Min: 68.46 / Avg: 68.58 / Max: 68.66Min: 68.38 / Avg: 68.5 / Max: 68.65Min: 68.48 / Avg: 68.5 / Max: 68.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18Core i5 8400Core i5Intel 840048121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 317.9217.9117.90MIN: 17.78 / MAX: 27.2MIN: 17.8 / MAX: 18.97MIN: 17.76 / MAX: 19.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18Core i5 8400Core i5Intel 8400510152025Min: 17.89 / Avg: 17.92 / Max: 17.98Min: 17.87 / Avg: 17.91 / Max: 17.94Min: 17.87 / Avg: 17.9 / Max: 17.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumCore i5 8400Core i5Intel 84003691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 39.259.269.261. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumCore i5 8400Core i5Intel 84003691215Min: 9.25 / Avg: 9.25 / Max: 9.26Min: 9.26 / Avg: 9.26 / Max: 9.27Min: 9.25 / Avg: 9.26 / Max: 9.271. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdCore i5 8400Core i5Intel 8400714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 328.6128.6028.63MIN: 28.51 / MAX: 36.98MIN: 28.51 / MAX: 30.21MIN: 28.49 / MAX: 37.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdCore i5 8400Core i5Intel 8400612182430Min: 28.58 / Avg: 28.61 / Max: 28.62Min: 28.57 / Avg: 28.6 / Max: 28.62Min: 28.62 / Avg: 28.63 / Max: 28.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUCore i5 8400Core i5Intel 84003691215SE +/- 0.00494, N = 3SE +/- 0.00807, N = 3SE +/- 0.00502, N = 39.426419.421429.43072MIN: 9.38MIN: 9.38MIN: 9.391. (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: CPUCore i5 8400Core i5Intel 84003691215Min: 9.42 / Avg: 9.43 / Max: 9.44Min: 9.41 / Avg: 9.42 / Max: 9.44Min: 9.42 / Avg: 9.43 / Max: 9.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyCore i5 8400Core i5Intel 8400714212835SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 331.1331.1031.11MIN: 30.98 / MAX: 41.79MIN: 31 / MAX: 33.35MIN: 31.01 / MAX: 32.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tinyCore i5 8400Core i5Intel 8400714212835Min: 31.06 / Avg: 31.13 / Max: 31.22Min: 31.09 / Avg: 31.1 / Max: 31.12Min: 31.08 / Avg: 31.11 / Max: 31.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i5 8400Core i5Intel 84001326395265SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 358.9258.9558.971. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughCore i5 8400Core i5Intel 84001224364860Min: 58.92 / Avg: 58.92 / Max: 58.92Min: 58.92 / Avg: 58.95 / Max: 58.98Min: 58.94 / Avg: 58.97 / Max: 58.991. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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: u8s8f32 - Engine: CPUCore i5 8400Core i5Intel 84000.82271.64542.46813.29084.1135SE +/- 0.00475, N = 3SE +/- 0.00246, N = 3SE +/- 0.00138, N = 33.656283.655943.65339MIN: 3.63MIN: 3.63MIN: 3.621. (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: CPUCore i5 8400Core i5Intel 8400246810Min: 3.65 / Avg: 3.66 / Max: 3.67Min: 3.65 / Avg: 3.66 / Max: 3.66Min: 3.65 / Avg: 3.65 / Max: 3.661. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 1.1.1Core i5 8400Core i5Intel 840030060090012001500SE +/- 1.00, N = 3SE +/- 0.88, N = 3SE +/- 1.33, N = 31338133913381. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1Core i5 8400Core i5Intel 84002004006008001000Min: 1337 / Avg: 1338 / Max: 1340Min: 1337 / Avg: 1338.67 / Max: 1340Min: 1335 / Avg: 1337.67 / Max: 13391. (CXX) g++ options: -O3 -pthread

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: Vulkan GPU - Model: alexnetCore i5 8400Core i5Intel 840048121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.9713.9713.98MIN: 13.91 / MAX: 14.97MIN: 13.87 / MAX: 22.87MIN: 13.91 / MAX: 22.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnetCore i5 8400Core i5Intel 840048121620Min: 13.96 / Avg: 13.97 / Max: 13.97Min: 13.94 / Avg: 13.97 / Max: 13.98Min: 13.95 / Avg: 13.98 / Max: 14.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 EncodeCore i5 8400Core i5Intel 84003691215SE +/- 0.013, N = 5SE +/- 0.011, N = 5SE +/- 0.014, N = 59.6379.6389.6321. (CXX) g++ options: -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus EncodeCore i5 8400Core i5Intel 84003691215Min: 9.62 / Avg: 9.64 / Max: 9.68Min: 9.62 / Avg: 9.64 / Max: 9.68Min: 9.61 / Avg: 9.63 / Max: 9.681. (CXX) g++ options: -fvisibility=hidden -logg -lm

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: resnet18Core i5 8400Core i5Intel 840048121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 317.9217.9117.91MIN: 17.82 / MAX: 20.17MIN: 17.8 / MAX: 24.42MIN: 17.82 / MAX: 20.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Core i5 8400Core i5Intel 8400510152025Min: 17.91 / Avg: 17.92 / Max: 17.94Min: 17.9 / Avg: 17.91 / Max: 17.92Min: 17.87 / Avg: 17.91 / Max: 17.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchCore i5 8400Core i5Intel 8400306090120150SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3120.47120.53120.471. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchCore i5 8400Core i5Intel 840020406080100Min: 120.41 / Avg: 120.47 / Max: 120.56Min: 120.34 / Avg: 120.53 / Max: 120.79Min: 120.33 / Avg: 120.47 / Max: 120.61. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUCore i5 8400Core i5Intel 84001.06982.13963.20944.27925.349SE +/- 0.00115, N = 3SE +/- 0.00165, N = 3SE +/- 0.00543, N = 34.752814.754784.75472MIN: 4.71MIN: 4.72MIN: 4.721. (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: CPUCore i5 8400Core i5Intel 8400246810Min: 4.75 / Avg: 4.75 / Max: 4.76Min: 4.75 / Avg: 4.75 / Max: 4.76Min: 4.75 / Avg: 4.75 / Max: 4.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

simdjson

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

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDCore i5 8400Core i5Intel 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
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDCore i5 8400Core i5Intel 8400246810Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.6 / Avg: 0.6 / Max: 0.61. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsCore i5 8400Core i5Intel 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
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsCore i5 8400Core i5Intel 8400246810Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.581. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomCore i5 8400Core i5Intel 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
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomCore i5 8400Core i5Intel 840012345Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.39 / Avg: 0.39 / Max: 0.39Min: 0.39 / Avg: 0.39 / Max: 0.391. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaCore i5 8400Core i5Intel 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
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaCore i5 8400Core i5Intel 8400246810Min: 0.64 / Avg: 0.64 / Max: 0.64Min: 0.64 / Avg: 0.64 / Max: 0.64Min: 0.64 / Avg: 0.64 / Max: 0.641. (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 SpeedupCore i5 8400Core i5Intel 84000.450.91.351.82.252221. (CC) gcc options: -fopenmp -O3 -lm

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5 8400Core i5Intel 8400400800120016002000SE +/- 5.52, N = 3SE +/- 60.12, N = 4SE +/- 73.63, N = 31697.221754.351776.71
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUCore i5 8400Core i5Intel 840030060090012001500Min: 1689.57 / Avg: 1697.22 / Max: 1707.94Min: 1684 / Avg: 1754.35 / Max: 1934Min: 1689.5 / Avg: 1776.71 / Max: 1923.09

95 Results Shown

Coremark
oneDNN:
  IP Shapes 3D - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
VKMark
OpenVINO
oneDNN
OpenVINO:
  Person Detection 0106 FP16 - CPU
  Face Detection 0106 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Person Detection 0106 FP16 - CPU
oneDNN
VkResample
oneDNN:
  Recurrent Neural Network Inference - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
OpenVINO
oneDNN
OpenVINO:
  Face Detection 0106 FP32 - CPU
  Person Detection 0106 FP32 - CPU
VkResample
NCNN
Stockfish
NCNN:
  Vulkan GPU - mnasnet
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mnasnet
OpenVINO
oneDNN
asmFish
OpenVINO
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
OpenVINO
NCNN:
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  CPU - shufflenet-v2
  CPU - mobilenet
  CPU - efficientnet-b0
SQLite Speedtest
NCNN:
  Vulkan GPU - blazeface
  CPU - blazeface
ASTC Encoder
oneDNN
PHPBench
Crafty
oneDNN
NCNN:
  Vulkan GPU - efficientnet-b0
  CPU - regnety_400m
Node.js V8 Web Tooling Benchmark
rav1e
Unpacking Firefox
NCNN:
  Vulkan GPU - squeezenet_ssd
  CPU - vgg16
  Vulkan GPU - mobilenet
Monkey Audio Encoding
NCNN
rav1e
Build2
BRL-CAD
rav1e
NCNN
Timed FFmpeg Compilation
oneDNN
Ogg Audio Encoding
NCNN:
  CPU - googlenet
  Vulkan GPU - resnet50
Timed Clash Compilation
NCNN
WavPack Audio Encoding
Timed Eigen Compilation
NCNN:
  Vulkan GPU-v2-v2 - mobilenet-v2
  CPU - alexnet
rav1e
ASTC Encoder
NCNN:
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
ASTC Encoder
NCNN
oneDNN
NCNN
ASTC Encoder
oneDNN
VkFFT
NCNN
Opus Codec Encoding
NCNN
Timed HMMer Search
oneDNN
simdjson:
  DistinctUserID
  PartialTweets
  LargeRand
  Kostya
CLOMP
OpenVINO