whiskey testd

Intel Core i7-8565U testing with a Dell 0KTW76 (1.11.0 BIOS) and Intel UHD 620 3GB on Ubuntu 20.10 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 2103145-HA-WHISKEYTE34
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whiskey testdProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads)Dell 0KTW76 (1.11.0 BIOS)Intel Cannon Point-LP16GBSK hynix PC401 NVMe 256GBIntel UHD 620 3GB (1150MHz)Realtek ALC3271Qualcomm Atheros QCA6174 802.11acUbuntu 20.105.8.0-44-generic (x86_64)GNOME Shell 3.38.2X Server 1.20.94.6 Mesa 20.2.61.2.145GCC 10.2.0ext41920x1080OpenBenchmarking.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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Mitigation of Clear buffers; SMT vulnerable + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.4.0m1100%103%105%108%111%AOM AV1Mobile Neural NetworkASTC EncoderBasis UniversaloneDNNJPEG XLsimdjsonSysbenchJPEG XL Decoding

whiskey testdsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDjpegxl: PNG - 5jpegxl: PNG - 7jpegxl: PNG - 8jpegxl: JPEG - 5jpegxl: JPEG - 7jpegxl: JPEG - 8jpegxl-decode: 1jpegxl-decode: Allaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimeonednn: 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: CPU1232.470.863.614.3340.836.270.6749.1949.2123.4335.6276.780.112.738.106.2150.3714.213917.36304.974854.1645122.873117.703816.552422.22887.098669.2245113452.07034.9513583.56874.626.0811313417.77012.7212.74119.031349.5969413.204037.40610.990106.429204.53213.18382.0766.1687.324100.97617875.566516.012.460.863.624.3137.906.070.6749.2949.1123.4735.7876.730.122.648.356.7050.4011.1124918.32984.896514.1148823.731316.856416.494322.05896.704979.3233612448.66505.3112694.97039.825.5678012585.66847.1612.76938.618845.9748390.904237.95311.03994.262191.74413.24876.9446.2387.34998.47917934.336458.042.490.863.624.3340.536.240.6749.1849.1523.4635.6477.160.122.748.737.0162.5912.1066818.89235.051654.2438123.80918.511916.333622.23726.862869.3173012619.96934.0312639.96976.656.1423212966.66952.239.858639.230147.1004388.593437.43911.02599.279188.56912.65672.3305.8357.01793.25617897.176515.39OpenBenchmarking.org

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: Kostya1230.56031.12061.68092.24122.8015SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.472.462.491. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: Kostya123246810Min: 2.45 / Avg: 2.47 / Max: 2.49Min: 2.46 / Avg: 2.46 / Max: 2.47Min: 2.48 / Avg: 2.49 / Max: 2.491. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: LargeRandom1230.19350.3870.58050.7740.9675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.860.860.861. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: LargeRandom123246810Min: 0.85 / Avg: 0.86 / Max: 0.86Min: 0.86 / Avg: 0.86 / Max: 0.86Min: 0.86 / Avg: 0.86 / Max: 0.861. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: PartialTweets1230.81451.6292.44353.2584.0725SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.613.623.621. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: PartialTweets123246810Min: 3.61 / Avg: 3.61 / Max: 3.62Min: 3.61 / Avg: 3.62 / Max: 3.62Min: 3.61 / Avg: 3.62 / Max: 3.621. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: DistinctUserID1230.97431.94862.92293.89724.8715SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 34.334.314.331. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: DistinctUserID123246810Min: 4.32 / Avg: 4.33 / Max: 4.33Min: 4.26 / Avg: 4.31 / Max: 4.34Min: 4.32 / Avg: 4.33 / Max: 4.331. (CXX) g++ options: -O3 -pthread

JPEG XL

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: PNG - Encode Speed: 5123918273645SE +/- 0.25, N = 3SE +/- 0.62, N = 15SE +/- 0.37, N = 340.8337.9040.531. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: PNG - Encode Speed: 5123816243240Min: 40.41 / Avg: 40.83 / Max: 41.28Min: 34.98 / Avg: 37.9 / Max: 41.62Min: 39.83 / Avg: 40.53 / Max: 41.071. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: PNG - Encode Speed: 7123246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 36.276.076.241. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: PNG - Encode Speed: 71233691215Min: 6.23 / Avg: 6.27 / Max: 6.29Min: 6.02 / Avg: 6.07 / Max: 6.15Min: 6.19 / Avg: 6.24 / Max: 6.31. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: PNG - Encode Speed: 81230.15080.30160.45240.60320.754SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.670.670.671. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: PNG - Encode Speed: 8123246810Min: 0.67 / Avg: 0.67 / Max: 0.67Min: 0.66 / Avg: 0.67 / Max: 0.67Min: 0.66 / Avg: 0.67 / Max: 0.671. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: JPEG - Encode Speed: 51231122334455SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 349.1949.2949.181. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: JPEG - Encode Speed: 51231020304050Min: 49.05 / Avg: 49.19 / Max: 49.34Min: 49.12 / Avg: 49.29 / Max: 49.48Min: 49.13 / Avg: 49.18 / Max: 49.241. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: JPEG - Encode Speed: 71231122334455SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 349.2149.1149.151. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: JPEG - Encode Speed: 71231020304050Min: 49.09 / Avg: 49.21 / Max: 49.32Min: 49.04 / Avg: 49.11 / Max: 49.19Min: 48.98 / Avg: 49.15 / Max: 49.251. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: JPEG - Encode Speed: 8123612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 323.4323.4723.461. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.3Input: JPEG - Encode Speed: 8123510152025Min: 23.36 / Avg: 23.43 / Max: 23.48Min: 23.44 / Avg: 23.47 / Max: 23.5Min: 23.33 / Avg: 23.46 / Max: 23.531. (CXX) g++ options: -funwind-tables -O3 -O2 -pthread -fPIE -pie -ldl

JPEG XL Decoding

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.3CPU Threads: 1123816243240SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 335.6235.7835.64
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.3CPU Threads: 1123816243240Min: 35.55 / Avg: 35.62 / Max: 35.67Min: 35.7 / Avg: 35.78 / Max: 35.86Min: 35.59 / Avg: 35.64 / Max: 35.69

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.3CPU Threads: All12320406080100SE +/- 1.37, N = 14SE +/- 1.25, N = 14SE +/- 1.44, N = 1576.7876.7377.16
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.3CPU Threads: All1231530456075Min: 75.26 / Avg: 76.78 / Max: 94.57Min: 75.27 / Avg: 76.73 / Max: 92.97Min: 74.99 / Avg: 77.16 / Max: 95.86

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-Pass1230.0270.0540.0810.1080.135SE +/- 0.00, N = 3SE +/- 0.00, N = 9SE +/- 0.00, N = 90.110.120.121. (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: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.12 / Max: 0.13Min: 0.11 / Avg: 0.12 / Max: 0.131. (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-Pass1230.61651.2331.84952.4663.0825SE +/- 0.07, N = 7SE +/- 0.06, N = 9SE +/- 0.07, N = 82.732.642.741. (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: 2.55 / Avg: 2.73 / Max: 3Min: 2.55 / Avg: 2.64 / Max: 2.96Min: 2.55 / Avg: 2.74 / Max: 2.981. (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 Realtime123246810SE +/- 0.19, N = 15SE +/- 0.24, N = 15SE +/- 0.22, N = 158.108.358.731. (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 Realtime1233691215Min: 7.25 / Avg: 8.1 / Max: 10.27Min: 7.57 / Avg: 8.35 / Max: 10.31Min: 7.65 / Avg: 8.73 / Max: 10.311. (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-Pass123246810SE +/- 0.02, N = 3SE +/- 0.15, N = 15SE +/- 0.08, N = 36.216.707.011. (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-Pass1233691215Min: 6.18 / Avg: 6.21 / Max: 6.24Min: 6.21 / Avg: 6.7 / Max: 7.93Min: 6.91 / Avg: 7.01 / Max: 7.161. (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 Realtime1231428425670SE +/- 0.40, N = 13SE +/- 0.43, N = 12SE +/- 0.42, N = 350.3750.4062.591. (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 Realtime1231224364860Min: 49.82 / Avg: 50.37 / Max: 55.17Min: 49.77 / Avg: 50.4 / Max: 55.17Min: 61.91 / Avg: 62.59 / Max: 63.361. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU12348121620SE +/- 0.18, N = 12SE +/- 0.58, N = 12SE +/- 0.54, N = 1514.2111.1112.11MIN: 8.8MIN: 8.21MIN: 8.261. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU12348121620Min: 12.23 / Avg: 14.21 / Max: 14.45Min: 9.25 / Avg: 11.11 / Max: 14.55Min: 9.68 / Avg: 12.11 / Max: 14.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123510152025SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 317.3618.3318.89MIN: 15.14MIN: 15MIN: 15.441. (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: CPU123510152025Min: 17.25 / Avg: 17.36 / Max: 17.47Min: 18.29 / Avg: 18.33 / Max: 18.37Min: 18.8 / Avg: 18.89 / Max: 19.041. (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: CPU1231.13662.27323.40984.54645.683SE +/- 0.24210, N = 12SE +/- 0.19713, N = 12SE +/- 0.21923, N = 124.974854.896515.05165MIN: 3.5MIN: 3.51MIN: 3.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810Min: 4.23 / Avg: 4.97 / Max: 6.3Min: 4.24 / Avg: 4.9 / Max: 6.32Min: 4.26 / Avg: 5.05 / Max: 6.311. (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: CPU1230.95491.90982.86473.81964.7745SE +/- 0.01601, N = 3SE +/- 0.01434, N = 3SE +/- 0.02337, N = 34.164514.114884.24381MIN: 3.27MIN: 3.3MIN: 3.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 4.13 / Avg: 4.16 / Max: 4.19Min: 4.09 / Avg: 4.11 / Max: 4.13Min: 4.21 / Avg: 4.24 / Max: 4.291. (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: CPU123612182430SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 322.8723.7323.81MIN: 22.17MIN: 22.61MIN: 22.941. (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: CPU123612182430Min: 22.61 / Avg: 22.87 / Max: 23.01Min: 23.54 / Avg: 23.73 / Max: 23.88Min: 23.76 / Avg: 23.81 / Max: 23.851. (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: CPU123510152025SE +/- 0.87, N = 12SE +/- 0.21, N = 3SE +/- 0.72, N = 1517.7016.8618.51MIN: 10.52MIN: 10.47MIN: 10.431. (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: CPU123510152025Min: 13.06 / Avg: 17.7 / Max: 22.38Min: 16.46 / Avg: 16.86 / Max: 17.14Min: 12.85 / Avg: 18.51 / Max: 22.561. (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: CPU12348121620SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 316.5516.4916.33MIN: 14.83MIN: 14.9MIN: 14.791. (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: CPU12348121620Min: 16.41 / Avg: 16.55 / Max: 16.67Min: 16.48 / Avg: 16.49 / Max: 16.51Min: 16.23 / Avg: 16.33 / Max: 16.511. (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: CPU123510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 322.2322.0622.24MIN: 21.39MIN: 21.2MIN: 21.381. (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: CPU123510152025Min: 22.12 / Avg: 22.23 / Max: 22.34Min: 21.95 / Avg: 22.06 / Max: 22.14Min: 22.1 / Avg: 22.24 / Max: 22.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.28219, N = 15SE +/- 0.29203, N = 12SE +/- 0.26860, N = 157.098666.704976.86286MIN: 4.61MIN: 4.58MIN: 4.591. (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: CPU1233691215Min: 5.87 / Avg: 7.1 / Max: 8.44Min: 5.85 / Avg: 6.7 / Max: 8.42Min: 5.87 / Avg: 6.86 / Max: 8.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.04296, N = 3SE +/- 0.01023, N = 3SE +/- 0.05089, N = 39.224519.323369.31730MIN: 8.28MIN: 8.34MIN: 8.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 9.15 / Avg: 9.22 / Max: 9.29Min: 9.3 / Avg: 9.32 / Max: 9.33Min: 9.24 / Avg: 9.32 / Max: 9.411. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1233K6K9K12K15KSE +/- 131.65, N = 3SE +/- 357.31, N = 12SE +/- 321.35, N = 1213452.012448.612619.9MIN: 13063.3MIN: 10099.2MIN: 9993.631. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1232K4K6K8K10KMin: 13189.1 / Avg: 13451.97 / Max: 13596.6Min: 10307.2 / Avg: 12448.59 / Max: 13613.4Min: 10555 / Avg: 12619.88 / Max: 13632.21. (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: CPU12315003000450060007500SE +/- 1.28, N = 3SE +/- 184.90, N = 12SE +/- 57.82, N = 157034.956505.316934.03MIN: 6897.29MIN: 5199.25MIN: 5993.721. (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: CPU12312002400360048006000Min: 7033.36 / Avg: 7034.95 / Max: 7037.48Min: 5326.8 / Avg: 6505.31 / Max: 7052.97Min: 6319.18 / Avg: 6934.03 / Max: 7061.921. (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: CPU1233K6K9K12K15KSE +/- 5.26, N = 3SE +/- 276.12, N = 12SE +/- 319.43, N = 913583.512694.912639.9MIN: 13428MIN: 10444MIN: 103641. (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: CPU1232K4K6K8K10KMin: 13575.3 / Avg: 13583.47 / Max: 13593.3Min: 11319.6 / Avg: 12694.94 / Max: 13618.1Min: 11440.1 / Avg: 12639.91 / Max: 13627.41. (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 Inference - Data Type: u8s8f32 - Engine: CPU12315003000450060007500SE +/- 113.31, N = 15SE +/- 3.97, N = 3SE +/- 49.13, N = 36874.627039.826976.65MIN: 5292.87MIN: 6897.42MIN: 6769.761. (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: CPU12312002400360048006000Min: 5353.93 / Avg: 6874.62 / Max: 7039.47Min: 7035.74 / Avg: 7039.82 / Max: 7047.75Min: 6885.68 / Avg: 6976.65 / Max: 7054.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810SE +/- 0.01129, N = 3SE +/- 0.05413, N = 3SE +/- 0.00904, N = 36.081135.567806.14232MIN: 5.51MIN: 5.28MIN: 5.551. (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: 6.07 / Avg: 6.08 / Max: 6.1Min: 5.48 / Avg: 5.57 / Max: 5.66Min: 6.13 / Avg: 6.14 / Max: 6.161. (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: CPU1233K6K9K12K15KSE +/- 126.45, N = 12SE +/- 328.72, N = 12SE +/- 259.16, N = 1213417.712585.612966.6MIN: 11327.5MIN: 10111.3MIN: 108921. (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: CPU1232K4K6K8K10KMin: 12028 / Avg: 13417.69 / Max: 13569.1Min: 10462.3 / Avg: 12585.61 / Max: 13613.5Min: 11465.1 / Avg: 12966.56 / Max: 13633.11. (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: CPU12315003000450060007500SE +/- 4.77, N = 3SE +/- 85.26, N = 3SE +/- 65.50, N = 77012.726847.166952.23MIN: 6879.33MIN: 5959.11MIN: 6435.891. (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: CPU12312002400360048006000Min: 7003.79 / Avg: 7012.72 / Max: 7020.09Min: 6679.65 / Avg: 6847.16 / Max: 6958.59Min: 6580.13 / Avg: 6952.23 / Max: 7062.761. (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: CPU1233691215SE +/- 0.00815, N = 3SE +/- 0.00578, N = 3SE +/- 0.42518, N = 1212.7411012.769309.85863MIN: 10.86MIN: 10.83MIN: 7.21. (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: CPU12348121620Min: 12.73 / Avg: 12.74 / Max: 12.76Min: 12.76 / Avg: 12.77 / Max: 12.78Min: 8.54 / Avg: 9.86 / Max: 12.771. (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: Medium1233691215SE +/- 0.1149, N = 3SE +/- 0.3496, N = 15SE +/- 0.0289, N = 39.03138.61889.23011. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Medium1233691215Min: 8.81 / Avg: 9.03 / Max: 9.19Min: 6.01 / Avg: 8.62 / Max: 9.69Min: 9.18 / Avg: 9.23 / Max: 9.281. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Thorough1231122334455SE +/- 1.47, N = 15SE +/- 1.12, N = 15SE +/- 1.46, N = 1549.6045.9747.101. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Thorough1231020304050Min: 40.31 / Avg: 49.6 / Max: 54.81Min: 40.51 / Avg: 45.97 / Max: 54.68Min: 40.25 / Avg: 47.1 / Max: 54.71. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Exhaustive12390180270360450SE +/- 7.36, N = 9SE +/- 3.30, N = 3SE +/- 5.02, N = 9413.20390.90388.591. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Exhaustive12370140210280350Min: 379.89 / Avg: 413.2 / Max: 432.23Min: 384.71 / Avg: 390.9 / Max: 395.98Min: 369.68 / Avg: 388.59 / Max: 411.571. (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: ETC1S123918273645SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.26, N = 337.4137.9537.441. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: ETC1S123816243240Min: 37.07 / Avg: 37.41 / Max: 37.62Min: 37.65 / Avg: 37.95 / Max: 38.25Min: 36.98 / Avg: 37.44 / Max: 37.881. (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 01233691215SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 310.9911.0411.031. (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: 10.92 / Avg: 10.99 / Max: 11.04Min: 10.96 / Avg: 11.04 / Max: 11.08Min: 11 / Avg: 11.02 / Max: 11.061. (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 212320406080100SE +/- 1.80, N = 15SE +/- 0.76, N = 12SE +/- 2.59, N = 15106.4394.2699.281. (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 212320406080100Min: 90.03 / Avg: 106.43 / Max: 110.53Min: 86.8 / Avg: 94.26 / Max: 96.71Min: 85.71 / Avg: 99.28 / Max: 110.481. (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 31234080120160200SE +/- 4.06, N = 12SE +/- 1.62, N = 3SE +/- 0.38, N = 3204.53191.74188.571. (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 31234080120160200Min: 185.11 / Avg: 204.53 / Max: 222.39Min: 190.09 / Avg: 191.74 / Max: 194.98Min: 187.96 / Avg: 188.57 / Max: 189.271. (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: SqueezeNetV1.01233691215SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.28, N = 1213.1813.2512.66MIN: 11.92 / MAX: 44.09MIN: 12.33 / MAX: 44.59MIN: 9.19 / MAX: 44.441. (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: SqueezeNetV1.012348121620Min: 13.11 / Avg: 13.18 / Max: 13.25Min: 13.2 / Avg: 13.25 / Max: 13.31Min: 9.81 / Avg: 12.66 / Max: 13.341. (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-v2-5012320406080100SE +/- 0.22, N = 3SE +/- 5.34, N = 3SE +/- 2.62, N = 1282.0876.9472.33MIN: 76.52 / MAX: 129.39MIN: 54.42 / MAX: 117.85MIN: 46.33 / MAX: 134.441. (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-v2-501231632486480Min: 81.84 / Avg: 82.08 / Max: 82.52Min: 66.27 / Avg: 76.94 / Max: 82.31Min: 56.77 / Avg: 72.33 / Max: 81.931. (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_224123246810SE +/- 0.017, N = 3SE +/- 0.005, N = 3SE +/- 0.182, N = 126.1686.2385.835MIN: 5.72 / MAX: 38.32MIN: 5.8 / MAX: 38.64MIN: 4.37 / MAX: 43.851. (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: 6.14 / Avg: 6.17 / Max: 6.2Min: 6.23 / Avg: 6.24 / Max: 6.25Min: 4.62 / Avg: 5.83 / Max: 6.271. (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-v1-1.0123246810SE +/- 0.035, N = 3SE +/- 0.009, N = 3SE +/- 0.195, N = 127.3247.3497.017MIN: 6.75 / MAX: 38.85MIN: 6.8 / MAX: 39.14MIN: 4.52 / MAX: 54.131. (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-v1-1.01233691215Min: 7.26 / Avg: 7.32 / Max: 7.38Min: 7.33 / Avg: 7.35 / Max: 7.36Min: 5.56 / Avg: 7.02 / Max: 7.391. (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-v312320406080100SE +/- 1.23, N = 3SE +/- 3.76, N = 3SE +/- 2.24, N = 12100.9898.4893.26MIN: 94.98 / MAX: 156.67MIN: 61.98 / MAX: 158.17MIN: 60.91 / MAX: 172.591. (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-v312320406080100Min: 98.53 / Avg: 100.98 / Max: 102.33Min: 90.96 / Avg: 98.48 / Max: 102.36Min: 81.3 / Avg: 93.26 / Max: 102.261. (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

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 / Memory1234K8K12K16K20KSE +/- 207.81, N = 3SE +/- 145.38, N = 3SE +/- 205.88, N = 317875.5617934.3317897.171. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1233K6K9K12K15KMin: 17464.41 / Avg: 17875.56 / Max: 18133.82Min: 17741.29 / Avg: 17934.33 / Max: 18219.16Min: 17539.23 / Avg: 17897.17 / Max: 18252.41. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU12314002800420056007000SE +/- 65.59, N = 3SE +/- 52.64, N = 15SE +/- 46.43, N = 126516.016458.046515.391. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU12311002200330044005500Min: 6427.44 / Avg: 6516.01 / Max: 6644.09Min: 6319.08 / Avg: 6458.04 / Max: 7174.44Min: 6360 / Avg: 6515.39 / Max: 6998.791. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm