10600K pre RKL

Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2103183-IB-10600KPRE35
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10600K pre RKLProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)ASUS PRIME Z490M-PLUS (1001 BIOS)Intel Comet Lake PCH32GBSamsung SSD 970 EVO 500GBASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDLG Ultra HDIntelUbuntu 20.045.9.0-050900daily20201012-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.94.6 Mesa 20.0.81.2.131GCC 9.3.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler 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: 0xe0Python Details- Python 3.8.5Security Details- itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.4.0100%100%101%101%Xcompact3d Incompact3dTimed Node.js CompilationoneDNNSysbenchASTC EncoderMobile Neural NetworkSVT-HEVCTimed Mesa CompilationBasis UniversalAOM AV1simdjsonSVT-VP9

10600K pre RKLincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimesvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080pbuild-mesa: Time To Compilebuild-nodejs: Time To Compileonednn: 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 - CPUastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3sysbench: RAM / Memorysysbench: CPU12337.2945633131.9759323.061.14.304.920.235.9620.8317.0596.505.4386.08185.05149.76152.32119.9569.654596.4914.321207.662382.041542.3920015.111710.047148.5108913.72792.668765.366003990.012379.623992.292381.103.384134002.182382.713.460106.012818.3302144.634025.5197.60041.22579.6674.51428.5452.5463.26033.77026132.7614374.2638.2099012131.8184813.051.14.294.920.235.9720.6717.0996.225.4486.61185.25149.49151.96120.0369.689596.9704.314667.735292.036992.3852115.120710.08078.5192713.81422.659835.316713998.992403.363996.072394.463.378493995.942397.833.474946.024018.3402144.591825.5147.60141.21079.6794.50828.5762.5493.24033.98025903.8914373.4737.7690824132.9972133.051.14.294.920.235.9720.7517.0696.595.4486.69184.69149.77152.34120.0069.808597.2164.280257.476842.013972.3927915.07839.981488.5228213.84212.659065.363983986.562374.753987.232372.733.395583987.152372.193.464596.015218.2889143.531925.3657.60341.22179.6624.45228.4712.5593.23133.92826135.3114375.35OpenBenchmarking.org

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction123918273645SE +/- 0.36, N = 3SE +/- 0.07, N = 3SE +/- 0.35, N = 337.2938.2137.771. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction123816243240Min: 36.9 / Avg: 37.29 / Max: 38.01Min: 38.07 / Avg: 38.21 / Max: 38.29Min: 37.08 / Avg: 37.77 / Max: 38.151. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction123306090120150SE +/- 1.07, N = 3SE +/- 1.01, N = 3SE +/- 0.15, N = 3131.98131.82133.001. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction12320406080100Min: 129.85 / Avg: 131.98 / Max: 133.12Min: 129.8 / Avg: 131.82 / Max: 132.96Min: 132.84 / Avg: 133 / Max: 133.291. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 0.8.2Throughput Test: Kostya1230.68851.3772.06552.7543.4425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.063.053.051. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: Kostya123246810Min: 3.06 / Avg: 3.06 / Max: 3.06Min: 3.05 / Avg: 3.05 / Max: 3.06Min: 3.05 / Avg: 3.05 / Max: 3.061. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: LargeRandom1230.24750.4950.74250.991.2375SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.11.11.11. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: LargeRandom123246810Min: 1.1 / Avg: 1.1 / Max: 1.1Min: 1.1 / Avg: 1.1 / Max: 1.1Min: 1.1 / Avg: 1.1 / Max: 1.11. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: PartialTweets1230.96751.9352.90253.874.8375SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.304.294.291. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: PartialTweets123246810Min: 4.29 / Avg: 4.3 / Max: 4.3Min: 4.28 / Avg: 4.29 / Max: 4.3Min: 4.28 / Avg: 4.29 / Max: 4.291. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: DistinctUserID1231.1072.2143.3214.4285.535SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.924.924.921. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: DistinctUserID123246810Min: 4.9 / Avg: 4.92 / Max: 4.93Min: 4.91 / Avg: 4.92 / Max: 4.93Min: 4.92 / Avg: 4.92 / Max: 4.931. (CXX) g++ options: -O3 -pthread

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 0 Two-Pass1230.05180.10360.15540.20720.259SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.230.230.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 0 Two-Pass12312345Min: 0.23 / Avg: 0.23 / Max: 0.23Min: 0.23 / Avg: 0.23 / Max: 0.23Min: 0.23 / Avg: 0.23 / Max: 0.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 4 Two-Pass1231.34332.68664.02995.37326.7165SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.965.975.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 4 Two-Pass123246810Min: 5.96 / Avg: 5.96 / Max: 5.96Min: 5.93 / Avg: 5.97 / Max: 5.99Min: 5.96 / Avg: 5.97 / Max: 5.981. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Realtime123510152025SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 320.8320.6720.751. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Realtime123510152025Min: 20.69 / Avg: 20.83 / Max: 20.95Min: 20.37 / Avg: 20.67 / Max: 20.89Min: 20.53 / Avg: 20.75 / Max: 20.871. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Two-Pass12348121620SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 317.0517.0917.061. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Two-Pass12348121620Min: 17.01 / Avg: 17.05 / Max: 17.11Min: 17.09 / Avg: 17.09 / Max: 17.1Min: 17.01 / Avg: 17.06 / Max: 17.11. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 8 Realtime12320406080100SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 396.5096.2296.591. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 8 Realtime12320406080100Min: 96.25 / Avg: 96.5 / Max: 96.82Min: 95.89 / Avg: 96.22 / Max: 96.52Min: 96.44 / Avg: 96.59 / Max: 96.71. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p1231.2242.4483.6724.8966.12SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.435.445.441. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p123246810Min: 5.42 / Avg: 5.43 / Max: 5.45Min: 5.43 / Avg: 5.44 / Max: 5.45Min: 5.42 / Avg: 5.44 / Max: 5.481. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p12320406080100SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 386.0886.6186.691. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p1231632486480Min: 85.95 / Avg: 86.08 / Max: 86.18Min: 86.52 / Avg: 86.61 / Max: 86.68Min: 86.62 / Avg: 86.69 / Max: 86.741. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p1234080120160200SE +/- 0.05, N = 3SE +/- 0.38, N = 3SE +/- 0.38, N = 3185.05185.25184.691. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p123306090120150Min: 184.96 / Avg: 185.05 / Max: 185.13Min: 184.62 / Avg: 185.25 / Max: 185.93Min: 184.11 / Avg: 184.69 / Max: 185.411. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p123306090120150SE +/- 0.29, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3149.76149.49149.771. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p123306090120150Min: 149.27 / Avg: 149.76 / Max: 150.29Min: 149.39 / Avg: 149.49 / Max: 149.59Min: 149.61 / Avg: 149.77 / Max: 1501. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p123306090120150SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.29, N = 3152.32151.96152.341. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p123306090120150Min: 151.8 / Avg: 152.32 / Max: 152.77Min: 151.75 / Avg: 151.96 / Max: 152.12Min: 151.76 / Avg: 152.34 / Max: 152.721. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p123306090120150SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3119.95120.03120.001. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p12320406080100Min: 119.73 / Avg: 119.95 / Max: 120.19Min: 119.84 / Avg: 120.03 / Max: 120.31Min: 119.55 / Avg: 120 / Max: 120.331. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile1231632486480SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 369.6569.6969.81
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile1231428425670Min: 69.43 / Avg: 69.65 / Max: 70Min: 69.58 / Avg: 69.69 / Max: 69.77Min: 69.79 / Avg: 69.81 / Max: 69.84

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile123130260390520650SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.12, N = 3596.49596.97597.22
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile123110220330440550Min: 596.32 / Avg: 596.49 / Max: 596.71Min: 596.49 / Avg: 596.97 / Max: 597.34Min: 596.98 / Avg: 597.22 / Max: 597.35

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 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1230.97231.94462.91693.88924.8615SE +/- 0.00877, N = 3SE +/- 0.01586, N = 3SE +/- 0.01808, N = 34.321204.314664.28025MIN: 4.19MIN: 4.18MIN: 4.191. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810Min: 4.3 / Avg: 4.32 / Max: 4.33Min: 4.29 / Avg: 4.31 / Max: 4.34Min: 4.24 / Avg: 4.28 / Max: 4.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123246810SE +/- 0.01852, N = 3SE +/- 0.01377, N = 3SE +/- 0.01643, N = 37.662387.735297.47684MIN: 7.54MIN: 7.59MIN: 7.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1233691215Min: 7.63 / Avg: 7.66 / Max: 7.69Min: 7.71 / Avg: 7.74 / Max: 7.75Min: 7.45 / Avg: 7.48 / Max: 7.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.45930.91861.37791.83722.2965SE +/- 0.00826, N = 3SE +/- 0.01080, N = 3SE +/- 0.00640, N = 32.041542.036992.01397MIN: 1.98MIN: 1.99MIN: 1.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810Min: 2.03 / Avg: 2.04 / Max: 2.05Min: 2.02 / Avg: 2.04 / Max: 2.05Min: 2 / Avg: 2.01 / Max: 2.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.53841.07681.61522.15362.692SE +/- 0.00743, N = 3SE +/- 0.00590, N = 3SE +/- 0.01182, N = 32.392002.385212.39279MIN: 2.34MIN: 2.31MIN: 2.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 2.38 / Avg: 2.39 / Max: 2.4Min: 2.38 / Avg: 2.39 / Max: 2.4Min: 2.37 / Avg: 2.39 / Max: 2.411. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU12348121620SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 315.1115.1215.08MIN: 15.01MIN: 15.01MIN: 14.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU12348121620Min: 15.06 / Avg: 15.11 / Max: 15.2Min: 15.06 / Avg: 15.12 / Max: 15.22Min: 15.02 / Avg: 15.08 / Max: 15.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.04868, N = 3SE +/- 0.02946, N = 3SE +/- 0.01007, N = 310.0471410.080709.98148MIN: 6.15MIN: 6.13MIN: 6.261. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215Min: 9.95 / Avg: 10.05 / Max: 10.12Min: 10.04 / Avg: 10.08 / Max: 10.14Min: 9.97 / Avg: 9.98 / Max: 101. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123246810SE +/- 0.00717, N = 3SE +/- 0.00726, N = 3SE +/- 0.00862, N = 38.510898.519278.52282MIN: 8.48MIN: 8.48MIN: 8.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1233691215Min: 8.5 / Avg: 8.51 / Max: 8.52Min: 8.51 / Avg: 8.52 / Max: 8.53Min: 8.51 / Avg: 8.52 / Max: 8.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU12348121620SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 313.7313.8113.84MIN: 13.46MIN: 13.46MIN: 13.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU12348121620Min: 13.6 / Avg: 13.73 / Max: 13.83Min: 13.72 / Avg: 13.81 / Max: 13.87Min: 13.75 / Avg: 13.84 / Max: 14.011. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1230.60051.2011.80152.4023.0025SE +/- 0.01467, N = 3SE +/- 0.00545, N = 3SE +/- 0.00456, N = 32.668762.659832.65906MIN: 2.63MIN: 2.63MIN: 2.631. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123246810Min: 2.65 / Avg: 2.67 / Max: 2.7Min: 2.65 / Avg: 2.66 / Max: 2.67Min: 2.65 / Avg: 2.66 / Max: 2.671. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1231.20742.41483.62224.82966.037SE +/- 0.01215, N = 3SE +/- 0.01565, N = 3SE +/- 0.00867, N = 35.366005.316715.36398MIN: 5.32MIN: 5.27MIN: 5.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123246810Min: 5.35 / Avg: 5.37 / Max: 5.39Min: 5.29 / Avg: 5.32 / Max: 5.34Min: 5.35 / Avg: 5.36 / Max: 5.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1239001800270036004500SE +/- 0.55, N = 3SE +/- 2.93, N = 3SE +/- 1.26, N = 33990.013998.993986.56MIN: 3986.86MIN: 3992.8MIN: 3980.861. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1237001400210028003500Min: 3989.11 / Avg: 3990.01 / Max: 3991.02Min: 3995.21 / Avg: 3998.99 / Max: 4004.76Min: 3984.12 / Avg: 3986.56 / Max: 3988.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1235001000150020002500SE +/- 2.92, N = 3SE +/- 4.31, N = 3SE +/- 1.89, N = 32379.622403.362374.75MIN: 2374.18MIN: 2396.19MIN: 2367.871. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU123400800120016002000Min: 2375.57 / Avg: 2379.62 / Max: 2385.28Min: 2397.63 / Avg: 2403.36 / Max: 2411.8Min: 2372.51 / Avg: 2374.75 / Max: 2378.51. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1239001800270036004500SE +/- 0.57, N = 3SE +/- 1.10, N = 3SE +/- 1.71, N = 33992.293996.073987.23MIN: 3987.88MIN: 3991.93MIN: 3981.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1237001400210028003500Min: 3991.66 / Avg: 3992.29 / Max: 3993.44Min: 3994.12 / Avg: 3996.07 / Max: 3997.91Min: 3985.41 / Avg: 3987.23 / Max: 3990.661. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1235001000150020002500SE +/- 2.74, N = 3SE +/- 0.97, N = 3SE +/- 1.29, N = 32381.102394.462372.73MIN: 2375.91MIN: 2391.28MIN: 2366.081. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU123400800120016002000Min: 2377.5 / Avg: 2381.1 / Max: 2386.48Min: 2393.36 / Avg: 2394.46 / Max: 2396.39Min: 2370.25 / Avg: 2372.73 / Max: 2374.581. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1230.7641.5282.2923.0563.82SE +/- 0.00246, N = 3SE +/- 0.00806, N = 3SE +/- 0.00477, N = 33.384133.378493.39558MIN: 3.33MIN: 3.31MIN: 3.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810Min: 3.38 / Avg: 3.38 / Max: 3.39Min: 3.36 / Avg: 3.38 / Max: 3.39Min: 3.39 / Avg: 3.4 / Max: 3.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1239001800270036004500SE +/- 9.00, N = 3SE +/- 1.20, N = 3SE +/- 1.18, N = 34002.183995.943987.15MIN: 3990.27MIN: 3991.84MIN: 3982.671. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1237001400210028003500Min: 3992.22 / Avg: 4002.18 / Max: 4020.15Min: 3993.75 / Avg: 3995.94 / Max: 3997.9Min: 3985.31 / Avg: 3987.15 / Max: 3989.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1235001000150020002500SE +/- 1.67, N = 3SE +/- 1.16, N = 3SE +/- 1.46, N = 32382.712397.832372.19MIN: 2377.54MIN: 2393.33MIN: 2367.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU123400800120016002000Min: 2379.39 / Avg: 2382.71 / Max: 2384.72Min: 2395.52 / Avg: 2397.83 / Max: 2399.21Min: 2369.33 / Avg: 2372.19 / Max: 2374.111. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1230.78191.56382.34573.12763.9095SE +/- 0.01319, N = 3SE +/- 0.00087, N = 3SE +/- 0.00212, N = 33.460103.474943.46459MIN: 3.26MIN: 3.28MIN: 3.271. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123246810Min: 3.43 / Avg: 3.46 / Max: 3.48Min: 3.47 / Avg: 3.47 / Max: 3.48Min: 3.46 / Avg: 3.46 / Max: 3.471. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 2.4Preset: Medium123246810SE +/- 0.0064, N = 3SE +/- 0.0013, N = 3SE +/- 0.0018, N = 36.01286.02406.01521. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Medium123246810Min: 6 / Avg: 6.01 / Max: 6.02Min: 6.02 / Avg: 6.02 / Max: 6.03Min: 6.01 / Avg: 6.02 / Max: 6.021. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Thorough123510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 318.3318.3418.291. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Thorough123510152025Min: 18.29 / Avg: 18.33 / Max: 18.37Min: 18.29 / Avg: 18.34 / Max: 18.4Min: 18.28 / Avg: 18.29 / Max: 18.31. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Exhaustive123306090120150SE +/- 0.22, N = 3SE +/- 0.26, N = 3SE +/- 0.30, N = 3144.63144.59143.531. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Exhaustive123306090120150Min: 144.2 / Avg: 144.63 / Max: 144.92Min: 144.07 / Avg: 144.59 / Max: 144.86Min: 142.93 / Avg: 143.53 / Max: 143.871. (CXX) g++ options: -O3 -flto -pthread

Basis Universal

Basis Universal is a GPU texture codec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: ETC1S123612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 325.5225.5125.371. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: ETC1S123612182430Min: 25.46 / Avg: 25.52 / Max: 25.57Min: 25.48 / Avg: 25.51 / Max: 25.57Min: 25.3 / Avg: 25.37 / Max: 25.431. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 0123246810SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 37.6007.6017.6031. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 01233691215Min: 7.59 / Avg: 7.6 / Max: 7.61Min: 7.59 / Avg: 7.6 / Max: 7.61Min: 7.6 / Avg: 7.6 / Max: 7.611. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 2123918273645SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 341.2341.2141.221. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 2123918273645Min: 41.21 / Avg: 41.23 / Max: 41.24Min: 41.21 / Avg: 41.21 / Max: 41.22Min: 41.21 / Avg: 41.22 / Max: 41.241. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 312320406080100SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 379.6779.6879.661. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 31231530456075Min: 79.66 / Avg: 79.67 / Max: 79.68Min: 79.67 / Avg: 79.68 / Max: 79.69Min: 79.65 / Avg: 79.66 / Max: 79.671. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: SqueezeNetV1.01231.01572.03143.04714.06285.0785SE +/- 0.010, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 34.5144.5084.452MIN: 4.43 / MAX: 7.13MIN: 4.45 / MAX: 5.33MIN: 4.37 / MAX: 7.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: SqueezeNetV1.0123246810Min: 4.5 / Avg: 4.51 / Max: 4.53Min: 4.5 / Avg: 4.51 / Max: 4.52Min: 4.45 / Avg: 4.45 / Max: 4.461. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50123714212835SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 328.5528.5828.47MIN: 28.18 / MAX: 40.29MIN: 28.26 / MAX: 40.34MIN: 28.25 / MAX: 40.281. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50123612182430Min: 28.36 / Avg: 28.55 / Max: 28.68Min: 28.46 / Avg: 28.58 / Max: 28.65Min: 28.39 / Avg: 28.47 / Max: 28.541. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: MobileNetV2_2241230.57581.15161.72742.30322.879SE +/- 0.012, N = 3SE +/- 0.011, N = 3SE +/- 0.018, N = 32.5462.5492.559MIN: 2.51 / MAX: 3.35MIN: 2.51 / MAX: 5.08MIN: 2.5 / MAX: 33.311. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: MobileNetV2_224123246810Min: 2.53 / Avg: 2.55 / Max: 2.57Min: 2.53 / Avg: 2.55 / Max: 2.57Min: 2.52 / Avg: 2.56 / Max: 2.581. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.01230.73351.4672.20052.9343.6675SE +/- 0.011, N = 3SE +/- 0.002, N = 3SE +/- 0.017, N = 33.2603.2403.231MIN: 3.22 / MAX: 4.01MIN: 3.2 / MAX: 4.08MIN: 3.19 / MAX: 3.461. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.0123246810Min: 3.24 / Avg: 3.26 / Max: 3.27Min: 3.24 / Avg: 3.24 / Max: 3.24Min: 3.21 / Avg: 3.23 / Max: 3.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v3123816243240SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 333.7733.9833.93MIN: 33.53 / MAX: 46.55MIN: 33.58 / MAX: 47.6MIN: 33.53 / MAX: 46.761. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v3123714212835Min: 33.7 / Avg: 33.77 / Max: 33.82Min: 33.76 / Avg: 33.98 / Max: 34.29Min: 33.66 / Avg: 33.93 / Max: 34.281. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1236K12K18K24K30KSE +/- 182.62, N = 3SE +/- 44.57, N = 3SE +/- 185.77, N = 326132.7625903.8926135.311. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1235K10K15K20K25KMin: 25887.87 / Avg: 26132.76 / Max: 26489.87Min: 25816.5 / Avg: 25903.89 / Max: 25962.79Min: 25792.32 / Avg: 26135.31 / Max: 26430.481. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU1233K6K9K12K15KSE +/- 1.10, N = 3SE +/- 1.54, N = 3SE +/- 0.21, N = 314374.2614373.4714375.351. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU1232K4K6K8K10KMin: 14372.4 / Avg: 14374.26 / Max: 14376.21Min: 14370.64 / Avg: 14373.47 / Max: 14375.95Min: 14375.13 / Avg: 14375.35 / Max: 14375.761. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm