Xeon E3 v6

Intel Xeon E3-1275 v6 testing with a ASUS P10S-M WS (4401 BIOS) and Intel HD P630 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 2009252-FI-XEONE3V6460
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Xeon E3 v6ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution123Intel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads)ASUS P10S-M WS (4401 BIOS)Intel Xeon E3-1200 v6/7th16GBSamsung SSD 970 EVO Plus 500GBIntel HD P630 3GB (1150MHz)Realtek ALC1150DELL S2409W2 x Intel I210Ubuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: 0xd6Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

123Result OverviewPhoronix Test Suite 10.2.2100%117%133%150%167%OpenCVRealSR-NCNNApache CouchDBeSpeak-NG Speech EngineMPVLibRawInfluxDBdcrawWebP Image EncodeNCNNTNN

Xeon E3 v6realsr-ncnn: 4x - Nowebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionlibraw: Post-Processing Benchmarkdcraw: RAW To PPM Image Conversionespeak: Text-To-Speech Synthesismpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlyncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1opencv: DNN - Deep Neural Networkinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000couchdb: 100 - 1000 - 2412326.6731.6182.53618.1867.54943.99730.3139.79528.63686.40243.1822.4326.117.035.824.135.949.441.9320.8082.9621.2320.4142.3135.85107.1697.0133.9636.8522.5735.0770.066.2591.29252.3080.18110.76136.16137.12336.744319.878298161081853.51095315.61107162.1149.90130.1781.6222.53917.9747.55344.04630.3039.73328.77386.19241.4722.5526.187.035.814.135.949.481.9520.8381.6321.0120.5842.0835.94107.2197.2033.9736.9222.5735.1068.916.2792.17252.4180.18110.73135.99137.32335.697319.821228361089126.91095260.61106460.8148.41629.7421.6152.53018.0737.55244.15130.2239.74828.64586.53242.8722.6526.197.065.824.165.959.531.9620.8981.8721.0420.8142.0736.07107.0797.2133.9436.8322.5435.0869.766.2691.32252.9980.21110.76132.15137.31335.82320.037209431085107.71097357.31105632.5147.334OpenBenchmarking.org

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No123714212835SE +/- 2.01, N = 15SE +/- 1.76, N = 15SE +/- 1.25, N = 1226.6730.1829.74
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No123714212835Min: 16.21 / Avg: 26.67 / Max: 38.89Min: 16.57 / Avg: 30.18 / Max: 46.94Min: 15.99 / Avg: 29.74 / Max: 31.1

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1230.3650.731.0951.461.825SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 31.6181.6221.6151. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default123246810Min: 1.62 / Avg: 1.62 / Max: 1.62Min: 1.61 / Avg: 1.62 / Max: 1.63Min: 1.61 / Avg: 1.62 / Max: 1.621. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.57131.14261.71392.28522.8565SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.001, N = 32.5362.5392.5301. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100123246810Min: 2.53 / Avg: 2.54 / Max: 2.54Min: 2.53 / Avg: 2.54 / Max: 2.56Min: 2.53 / Avg: 2.53 / Max: 2.531. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless12348121620SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 318.1917.9718.071. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless123510152025Min: 17.94 / Avg: 18.19 / Max: 18.58Min: 17.9 / Avg: 17.97 / Max: 18.02Min: 18.02 / Avg: 18.07 / Max: 18.111. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123246810SE +/- 0.004, N = 3SE +/- 0.011, N = 3SE +/- 0.007, N = 37.5497.5537.5521. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1233691215Min: 7.54 / Avg: 7.55 / Max: 7.56Min: 7.53 / Avg: 7.55 / Max: 7.57Min: 7.55 / Avg: 7.55 / Max: 7.571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1231020304050SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 344.0044.0544.151. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123918273645Min: 43.94 / Avg: 44 / Max: 44.1Min: 43.93 / Avg: 44.05 / Max: 44.14Min: 44.09 / Avg: 44.15 / Max: 44.221. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123714212835SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 330.3130.3030.221. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123714212835Min: 30.29 / Avg: 30.31 / Max: 30.32Min: 30.29 / Avg: 30.3 / Max: 30.3Min: 30.19 / Avg: 30.22 / Max: 30.271. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

dcraw

This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion123918273645SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 339.8039.7339.751. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion123816243240Min: 39.69 / Avg: 39.79 / Max: 39.99Min: 39.72 / Avg: 39.73 / Max: 39.76Min: 39.73 / Avg: 39.75 / Max: 39.781. (CC) gcc options: -lm

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123714212835SE +/- 0.06, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 428.6428.7728.651. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123612182430Min: 28.47 / Avg: 28.64 / Max: 28.74Min: 28.71 / Avg: 28.77 / Max: 28.82Min: 28.6 / Avg: 28.65 / Max: 28.71. (CC) gcc options: -O2 -std=c99

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only12320406080100SE +/- 0.02, N = 3SE +/- 0.35, N = 3SE +/- 0.01, N = 386.4086.1986.53MIN: 82.76 / MAX: 88.24MIN: 82.76 / MAX: 88.24MIN: 83.34 / MAX: 88.241. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only1231632486480Min: 86.38 / Avg: 86.4 / Max: 86.44Min: 85.49 / Avg: 86.19 / Max: 86.59Min: 86.51 / Avg: 86.53 / Max: 86.551. mpv 0.32.0

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only12350100150200250SE +/- 0.13, N = 3SE +/- 1.66, N = 3SE +/- 0.46, N = 3243.18241.47242.87MIN: 214.29 / MAX: 250.01MIN: 210.53 / MAX: 250.02MIN: 214.29 / MAX: 250.021. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only1234080120160200Min: 242.96 / Avg: 243.18 / Max: 243.41Min: 238.16 / Avg: 241.47 / Max: 243.25Min: 242.01 / Avg: 242.87 / Max: 243.61. mpv 0.32.0

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 20200916Target: CPU - Model: squeezenet123510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 322.4322.5522.65MIN: 22.3 / MAX: 23.08MIN: 22.34 / MAX: 24.14MIN: 22.54 / MAX: 33.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123510152025Min: 22.37 / Avg: 22.43 / Max: 22.55Min: 22.43 / Avg: 22.55 / Max: 22.65Min: 22.63 / Avg: 22.65 / Max: 22.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123612182430SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 326.1126.1826.19MIN: 25.97 / MAX: 27.05MIN: 25.97 / MAX: 28.36MIN: 26.08 / MAX: 27.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123612182430Min: 26.05 / Avg: 26.11 / Max: 26.19Min: 26.02 / Avg: 26.18 / Max: 26.28Min: 26.17 / Avg: 26.19 / Max: 26.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 37.037.037.06MIN: 6.9 / MAX: 16.68MIN: 6.91 / MAX: 8.43MIN: 6.98 / MAX: 8.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 6.98 / Avg: 7.03 / Max: 7.05Min: 6.97 / Avg: 7.03 / Max: 7.07Min: 7.03 / Avg: 7.06 / Max: 7.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31231.30952.6193.92855.2386.5475SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.825.815.82MIN: 5.75 / MAX: 7.29MIN: 5.75 / MAX: 7.44MIN: 5.75 / MAX: 6.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 5.82 / Avg: 5.82 / Max: 5.83Min: 5.8 / Avg: 5.81 / Max: 5.83Min: 5.8 / Avg: 5.82 / Max: 5.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21230.9361.8722.8083.7444.68SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.134.134.16MIN: 4.1 / MAX: 5.58MIN: 4.1 / MAX: 5.63MIN: 4.1 / MAX: 6.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810Min: 4.13 / Avg: 4.13 / Max: 4.14Min: 4.12 / Avg: 4.13 / Max: 4.13Min: 4.13 / Avg: 4.16 / Max: 4.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1231.33882.67764.01645.35526.694SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.945.945.95MIN: 5.87 / MAX: 7.41MIN: 5.87 / MAX: 7.43MIN: 5.9 / MAX: 7.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810Min: 5.92 / Avg: 5.94 / Max: 5.97Min: 5.92 / Avg: 5.94 / Max: 5.96Min: 5.94 / Avg: 5.95 / Max: 5.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 39.449.489.53MIN: 9.34 / MAX: 12.02MIN: 9.36 / MAX: 10.23MIN: 9.48 / MAX: 9.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215Min: 9.39 / Avg: 9.44 / Max: 9.55Min: 9.39 / Avg: 9.48 / Max: 9.54Min: 9.52 / Avg: 9.53 / Max: 9.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.4410.8821.3231.7642.205SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 31.931.951.96MIN: 1.89 / MAX: 2.51MIN: 1.91 / MAX: 2.22MIN: 1.95 / MAX: 2.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 1.91 / Avg: 1.93 / Max: 1.96Min: 1.92 / Avg: 1.95 / Max: 1.97Min: 1.96 / Avg: 1.96 / Max: 1.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 320.8020.8320.89MIN: 20.67 / MAX: 21.38MIN: 20.72 / MAX: 23.29MIN: 20.77 / MAX: 22.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123510152025Min: 20.74 / Avg: 20.8 / Max: 20.88Min: 20.79 / Avg: 20.83 / Max: 20.89Min: 20.87 / Avg: 20.89 / Max: 20.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612320406080100SE +/- 0.40, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 382.9681.6381.87MIN: 81.91 / MAX: 91.44MIN: 81.42 / MAX: 92.63MIN: 81.48 / MAX: 83.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231632486480Min: 82.16 / Avg: 82.96 / Max: 83.39Min: 81.55 / Avg: 81.63 / Max: 81.76Min: 81.63 / Avg: 81.87 / Max: 82.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123510152025SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 321.2321.0121.04MIN: 20.96 / MAX: 22.07MIN: 20.89 / MAX: 21.47MIN: 20.94 / MAX: 21.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123510152025Min: 21.13 / Avg: 21.23 / Max: 21.41Min: 20.98 / Avg: 21.01 / Max: 21.03Min: 21.02 / Avg: 21.04 / Max: 21.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025SE +/- 0.25, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 320.4120.5820.81MIN: 20.09 / MAX: 21.02MIN: 20.09 / MAX: 22.28MIN: 20.68 / MAX: 30.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025Min: 20.15 / Avg: 20.41 / Max: 20.91Min: 20.16 / Avg: 20.58 / Max: 20.81Min: 20.75 / Avg: 20.81 / Max: 20.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231020304050SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 342.3142.0842.07MIN: 42.06 / MAX: 44.05MIN: 41.92 / MAX: 44.61MIN: 41.92 / MAX: 43.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123918273645Min: 42.28 / Avg: 42.31 / Max: 42.38Min: 42.02 / Avg: 42.08 / Max: 42.13Min: 42.04 / Avg: 42.07 / Max: 42.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123816243240SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 335.8535.9436.07MIN: 35.62 / MAX: 37.39MIN: 35.77 / MAX: 36.84MIN: 35.96 / MAX: 36.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123816243240Min: 35.76 / Avg: 35.85 / Max: 35.98Min: 35.87 / Avg: 35.94 / Max: 36.02Min: 36.05 / Avg: 36.07 / Max: 36.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet12320406080100SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 3107.16107.21107.07MIN: 99.95 / MAX: 109.95MIN: 104.61 / MAX: 109.92MIN: 74.37 / MAX: 109.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet12320406080100Min: 107.13 / Avg: 107.16 / Max: 107.2Min: 107.21 / Avg: 107.21 / Max: 107.21Min: 106.92 / Avg: 107.07 / Max: 107.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet12320406080100SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 397.0197.2097.21MIN: 91.03 / MAX: 134.27MIN: 73.19 / MAX: 134.04MIN: 90.79 / MAX: 131.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet12320406080100Min: 96.63 / Avg: 97.01 / Max: 97.46Min: 96.92 / Avg: 97.2 / Max: 97.48Min: 97.02 / Avg: 97.21 / Max: 97.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123816243240SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 333.9633.9733.94MIN: 33.27 / MAX: 34.71MIN: 33.34 / MAX: 34.72MIN: 33.32 / MAX: 34.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2123714212835Min: 33.93 / Avg: 33.96 / Max: 33.98Min: 33.91 / Avg: 33.97 / Max: 34Min: 33.91 / Avg: 33.94 / Max: 33.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3123816243240SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 336.8536.9236.83MIN: 36.18 / MAX: 37.73MIN: 36.15 / MAX: 37.9MIN: 36.2 / MAX: 37.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3123816243240Min: 36.8 / Avg: 36.85 / Max: 36.91Min: 36.84 / Avg: 36.92 / Max: 36.99Min: 36.8 / Avg: 36.83 / Max: 36.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2123510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 322.5722.5722.54MIN: 21.98 / MAX: 23.03MIN: 21.99 / MAX: 22.98MIN: 21.94 / MAX: 22.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2123510152025Min: 22.56 / Avg: 22.57 / Max: 22.59Min: 22.56 / Avg: 22.57 / Max: 22.57Min: 22.53 / Avg: 22.54 / Max: 22.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet123816243240SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 335.0735.1035.08MIN: 34.4 / MAX: 35.78MIN: 34.45 / MAX: 35.94MIN: 34.43 / MAX: 35.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet123816243240Min: 35.01 / Avg: 35.07 / Max: 35.11Min: 35.06 / Avg: 35.1 / Max: 35.17Min: 35.07 / Avg: 35.08 / Max: 35.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b01231632486480SE +/- 0.14, N = 3SE +/- 1.57, N = 3SE +/- 0.27, N = 370.0668.9169.76MIN: 66.03 / MAX: 72.65MIN: 24 / MAX: 72.57MIN: 51.93 / MAX: 72.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b01231428425670Min: 69.8 / Avg: 70.06 / Max: 70.27Min: 65.78 / Avg: 68.91 / Max: 70.59Min: 69.29 / Avg: 69.76 / Max: 70.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface123246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 36.256.276.26MIN: 6.02 / MAX: 6.34MIN: 6.03 / MAX: 10.1MIN: 6.03 / MAX: 6.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1233691215Min: 6.24 / Avg: 6.25 / Max: 6.27Min: 6.24 / Avg: 6.27 / Max: 6.29Min: 6.24 / Avg: 6.26 / Max: 6.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet12320406080100SE +/- 0.62, N = 3SE +/- 0.59, N = 3SE +/- 0.28, N = 391.2992.1791.32MIN: 84.1 / MAX: 95.61MIN: 37.61 / MAX: 95.79MIN: 59.07 / MAX: 95.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet12320406080100Min: 90.23 / Avg: 91.29 / Max: 92.39Min: 91 / Avg: 92.17 / Max: 92.91Min: 90.79 / Avg: 91.32 / Max: 91.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1612360120180240300SE +/- 0.87, N = 3SE +/- 0.62, N = 3SE +/- 0.39, N = 3252.30252.41252.99MIN: 228.31 / MAX: 258.8MIN: 249.01 / MAX: 258.69MIN: 248.53 / MAX: 258.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1612350100150200250Min: 250.57 / Avg: 252.3 / Max: 253.34Min: 251.45 / Avg: 252.41 / Max: 253.57Min: 252.34 / Avg: 252.99 / Max: 253.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet1812320406080100SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 380.1880.1880.21MIN: 77.33 / MAX: 82.67MIN: 75.55 / MAX: 82.65MIN: 77.11 / MAX: 82.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet181231530456075Min: 80.08 / Avg: 80.18 / Max: 80.28Min: 80.11 / Avg: 80.18 / Max: 80.25Min: 80.14 / Avg: 80.21 / Max: 80.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet12320406080100SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3110.76110.73110.76MIN: 106.6 / MAX: 115.56MIN: 102.92 / MAX: 114.81MIN: 103.34 / MAX: 114.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet12320406080100Min: 110.73 / Avg: 110.76 / Max: 110.78Min: 110.72 / Avg: 110.73 / Max: 110.74Min: 110.75 / Avg: 110.76 / Max: 110.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50123306090120150SE +/- 1.56, N = 3SE +/- 0.96, N = 3SE +/- 2.38, N = 3136.16135.99132.15MIN: 122.9 / MAX: 146.22MIN: 103.62 / MAX: 145.62MIN: 71.28 / MAX: 145.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50123306090120150Min: 133.24 / Avg: 136.16 / Max: 138.57Min: 134.44 / Avg: 135.99 / Max: 137.76Min: 127.54 / Avg: 132.15 / Max: 135.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny123306090120150SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3137.12137.32137.31MIN: 101.92 / MAX: 158.44MIN: 102.67 / MAX: 145.14MIN: 123.85 / MAX: 144.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny123306090120150Min: 136.97 / Avg: 137.12 / Max: 137.35Min: 137.27 / Avg: 137.32 / Max: 137.42Min: 137.04 / Avg: 137.31 / Max: 137.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212370140210280350SE +/- 0.48, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3336.74335.70335.82MIN: 335.15 / MAX: 343.26MIN: 334.89 / MAX: 336.99MIN: 334.67 / MAX: 337.221. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 335.9 / Avg: 336.74 / Max: 337.57Min: 335.62 / Avg: 335.7 / Max: 335.79Min: 335.63 / Avg: 335.82 / Max: 336.171. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112370140210280350SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3319.88319.82320.04MIN: 319.27 / MAX: 321.43MIN: 319.1 / MAX: 321.04MIN: 319.32 / MAX: 321.411. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 319.72 / Avg: 319.88 / Max: 319.97Min: 319.79 / Avg: 319.82 / Max: 319.87Min: 319.9 / Avg: 320.04 / Max: 320.251. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1236K12K18K24K30KSE +/- 8604.91, N = 15SE +/- 907.80, N = 15SE +/- 241.23, N = 152981622836209431. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1235K10K15K20K25KMin: 20287 / Avg: 29815.73 / Max: 150245Min: 19968 / Avg: 22835.73 / Max: 33681Min: 19528 / Avg: 20943.47 / Max: 227141. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KSE +/- 4582.96, N = 3SE +/- 627.14, N = 3SE +/- 539.04, N = 31081853.51089126.91085107.7
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1073406.2 / Avg: 1081853.53 / Max: 1089158.2Min: 1088080.5 / Avg: 1089126.9 / Max: 1090249Min: 1084163.1 / Avg: 1085107.7 / Max: 1086030

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KSE +/- 1678.25, N = 3SE +/- 2626.21, N = 3SE +/- 1453.83, N = 31095315.61095260.61097357.3
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1092182.2 / Avg: 1095315.57 / Max: 1097924.4Min: 1090871.5 / Avg: 1095260.57 / Max: 1099953.7Min: 1094460.3 / Avg: 1097357.27 / Max: 1099021.6

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KSE +/- 1019.53, N = 3SE +/- 1866.56, N = 3SE +/- 1877.66, N = 31107162.11106460.81105632.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1105244.9 / Avg: 1107162.13 / Max: 1108722Min: 1102991.7 / Avg: 1106460.77 / Max: 1109389.6Min: 1103365.3 / Avg: 1105632.47 / Max: 1109358.7

Apache CouchDB

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24123306090120150SE +/- 0.37, N = 3SE +/- 0.93, N = 3SE +/- 0.71, N = 3149.90148.42147.331. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24123306090120150Min: 149.38 / Avg: 149.9 / Max: 150.61Min: 146.57 / Avg: 148.42 / Max: 149.55Min: 146.13 / Avg: 147.33 / Max: 148.581. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD