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.

HTML result view exported from: https://openbenchmarking.org/result/2009252-FI-XEONE3V6460&sro.

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

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

Scale: 4x - TAA: No

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

WebP Image Encode

Encode Settings: Default

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

WebP Image Encode

Encode Settings: Quality 100

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

WebP Image Encode

Encode Settings: Quality 100, Lossless

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

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

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

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

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

LibRaw

Post-Processing Benchmark

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

dcraw

RAW To PPM Image Conversion

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

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

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

MPV

Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only

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

MPV

Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only

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

NCNN

Target: CPU - Model: squeezenet

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

NCNN

Target: CPU - Model: mobilenet

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

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

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

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

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

NCNN

Target: CPU - Model: shufflenet-v2

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

NCNN

Target: CPU - Model: mnasnet

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

NCNN

Target: CPU - Model: efficientnet-b0

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

NCNN

Target: CPU - Model: blazeface

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

NCNN

Target: CPU - Model: googlenet

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

NCNN

Target: CPU - Model: vgg16

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

NCNN

Target: CPU - Model: resnet18

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

NCNN

Target: CPU - Model: alexnet

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

NCNN

Target: CPU - Model: resnet50

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

NCNN

Target: CPU - Model: yolov4-tiny

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

NCNN

Target: Vulkan GPU - Model: squeezenet

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

NCNN

Target: Vulkan GPU - Model: mobilenet

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

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

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

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

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

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

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

NCNN

Target: Vulkan GPU - Model: mnasnet

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

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

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

NCNN

Target: Vulkan GPU - Model: blazeface

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

NCNN

Target: Vulkan GPU - Model: googlenet

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

NCNN

Target: Vulkan GPU - Model: vgg16

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

NCNN

Target: Vulkan GPU - Model: resnet18

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

NCNN

Target: Vulkan GPU - Model: alexnet

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

NCNN

Target: Vulkan GPU - Model: resnet50

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

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

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

TNN

Target: CPU - Model: MobileNet v2

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

TNN

Target: CPU - Model: SqueezeNet v1.1

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

OpenCV

Test: DNN - Deep Neural Network

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

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

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

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

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

InfluxDB

Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

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

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 24

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

Phoronix Test Suite v10.8.4