bro laptop

Intel Core i7-5600U testing with a LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009251-FI-BROLAPTOP53&sor&gru.

bro laptopProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads)LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS)Intel Broadwell-U-OPI8GB128GB SAMSUNG MZNTE128Intel HD 5500 3GB (950MHz)Intel Broadwell-U AudioIntel I218-LM + Intel 7265Ubuntu 20.045.9.0-rc5-14sep-patch (x86_64) 20200914GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.11.2.131GCC 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_cpufreq ondemand - CPU Microcode: 0x2fSecurity Details- itlb_multihit: KVM: Mitigation of VMX disabled + 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

bro laptopmpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlylibraw: Post-Processing Benchmarkinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000webp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionncnn: 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 Networkosbench: Memory Allocationsrealsr-ncnn: 4x - Noespeak: Text-To-Speech Synthesisosbench: Create Filesosbench: Create Threadsosbench: Launch Programsosbench: Create Processes12366.16168.0915.20401170.7417381.4125067.42.1893.32225.1429.88066.43993.5961.6515.4013.589.5514.6222.723.89130.66593.3691.6739.92275.9781.2792.2556.7414.5215.2710.4114.4326.876.75125.52578.6790.3345.46274.2688.30361.053343.5979370895.69493917.24445.30420.75077719.390583142.44318043.74742566.12169.0915.25412256.1417905.6101463.52.1793.35524.9379.83262.93593.0261.3615.1313.439.5514.4722.523.89130.39585.6491.3239.64276.1481.4691.7652.9714.5415.289.8614.4926.803.53125.32574.2790.4145.57274.3982.25360.759344.4417170492.98261017.11645.19820.48832819.609928143.74574046.11460466.14167.9115.22392971.0420358.687151.62.1853.32825.0599.84263.10793.1961.3515.2113.589.5514.7322.423.91130.54585.7691.1839.75275.7881.2995.4152.8814.5115.249.6514.5026.793.73125.83576.7490.3545.48274.1782.63360.518341.5557112993.06438817.25648.15420.51201019.489129144.05409543.709278OpenBenchmarking.org

MPV

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

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only1321530456075SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 366.1666.1466.12MIN: 57.75 / MAX: 69.43MIN: 58.31 / MAX: 69.43MIN: 58.03 / MAX: 69.431. 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 Only2134080120160200SE +/- 0.12, N = 3SE +/- 0.31, N = 3SE +/- 0.29, N = 3169.09168.09167.91MIN: 152.05 / MAX: 182MIN: 150.15 / MAX: 179.29MIN: 150.15 / MAX: 179.291. mpv 0.32.0

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark23148121620SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 315.2515.2215.201. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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: 1000021390K180K270K360K450KSE +/- 2266.59, N = 3SE +/- 4942.37, N = 3SE +/- 889.09, N = 3412256.1401170.7392971.0

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: 1000032190K180K270K360K450KSE +/- 1040.09, N = 3SE +/- 2141.24, N = 3SE +/- 1426.89, N = 3420358.6417905.6417381.4

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: 1000012330K60K90K120K150KSE +/- 8752.75, N = 15SE +/- 13423.49, N = 12SE +/- 15119.28, N = 9125067.4101463.587151.6

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default2310.49250.9851.47751.972.4625SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 32.1792.1852.1891. (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 1001320.75491.50982.26473.01963.7745SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.030, N = 103.3223.3283.3551. (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, Lossless231612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 324.9425.0625.141. (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 Compression2313691215SE +/- 0.012, N = 3SE +/- 0.001, N = 3SE +/- 0.034, N = 39.8329.8429.8801. (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 Compression2311530456075SE +/- 0.31, N = 3SE +/- 0.67, N = 3SE +/- 0.41, N = 362.9463.1166.441. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet23120406080100SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 393.0293.1993.59MIN: 91.79 / MAX: 112.72MIN: 92.57 / MAX: 110.86MIN: 92.61 / MAX: 168.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet3211428425670SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 361.3561.3661.65MIN: 60.85 / MAX: 87.01MIN: 60.76 / MAX: 74.77MIN: 61 / MAX: 79.51. (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-v223148121620SE +/- 0.36, N = 3SE +/- 0.37, N = 3SE +/- 0.35, N = 315.1315.2115.40MIN: 14.13 / MAX: 16.95MIN: 14.08 / MAX: 16.97MIN: 14.32 / MAX: 32.771. (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-v32133691215SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 313.4313.5813.58MIN: 12.42 / MAX: 22.55MIN: 13.42 / MAX: 14.74MIN: 13.33 / MAX: 32.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21233691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 39.559.559.55MIN: 9.26 / MAX: 27.7MIN: 9.23 / MAX: 28.04MIN: 9.45 / MAX: 101. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet21348121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 314.4714.6214.73MIN: 14.32 / MAX: 17.83MIN: 14.45 / MAX: 19.71MIN: 14.13 / MAX: 94.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0321510152025SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 322.4222.5222.72MIN: 22.24 / MAX: 28.74MIN: 22.17 / MAX: 42.14MIN: 22.39 / MAX: 25.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.87981.75962.63943.51924.399SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 33.893.893.91MIN: 3.8 / MAX: 4.28MIN: 3.73 / MAX: 7.75MIN: 3.81 / MAX: 4.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet231306090120150SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3130.39130.54130.66MIN: 129.81 / MAX: 147.17MIN: 129.78 / MAX: 153.31MIN: 130.07 / MAX: 148.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16231130260390520650SE +/- 0.36, N = 3SE +/- 1.05, N = 3SE +/- 1.68, N = 3585.64585.76593.36MIN: 582.56 / MAX: 604.61MIN: 580.96 / MAX: 631.98MIN: 588.23 / MAX: 659.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1832120406080100SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 391.1891.3291.67MIN: 90.83 / MAX: 109.28MIN: 90.78 / MAX: 113.63MIN: 90.98 / MAX: 109.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet231918273645SE +/- 0.19, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 339.6439.7539.92MIN: 39.24 / MAX: 56.85MIN: 39.32 / MAX: 55.54MIN: 39.43 / MAX: 50.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet5031260120180240300SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 3275.78275.97276.14MIN: 274.47 / MAX: 392.79MIN: 274.67 / MAX: 293.51MIN: 274.64 / MAX: 294.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny13220406080100SE +/- 0.30, N = 3SE +/- 0.26, N = 3SE +/- 0.28, N = 381.2781.2981.46MIN: 80.25 / MAX: 92.98MIN: 80.3 / MAX: 101.3MIN: 80.49 / MAX: 98.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet21320406080100SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 3.14, N = 991.7692.2595.41MIN: 87.31 / MAX: 113.93MIN: 87.87 / MAX: 120.8MIN: 87.65 / MAX: 922.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet3211326395265SE +/- 0.05, N = 9SE +/- 0.09, N = 3SE +/- 0.19, N = 352.8852.9756.74MIN: 47.66 / MAX: 59.17MIN: 47.71 / MAX: 57.06MIN: 48.13 / MAX: 64.241. (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-v231248121620SE +/- 0.02, N = 9SE +/- 0.03, N = 3SE +/- 0.03, N = 314.5114.5214.54MIN: 14.03 / MAX: 14.86MIN: 14.04 / MAX: 15.18MIN: 14.04 / MAX: 14.771. (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-v331248121620SE +/- 0.02, N = 9SE +/- 0.02, N = 3SE +/- 0.00, N = 315.2415.2715.28MIN: 14.41 / MAX: 15.85MIN: 14.6 / MAX: 15.44MIN: 15.14 / MAX: 15.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v23213691215SE +/- 0.09, N = 9SE +/- 0.20, N = 3SE +/- 0.08, N = 39.659.8610.41MIN: 8.84 / MAX: 11.75MIN: 8.98 / MAX: 11MIN: 9.22 / MAX: 11.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet12348121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 814.4314.4914.50MIN: 14 / MAX: 14.98MIN: 13.99 / MAX: 14.96MIN: 14 / MAX: 14.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0321612182430SE +/- 0.02, N = 9SE +/- 0.02, N = 3SE +/- 0.02, N = 326.7926.8026.87MIN: 25.99 / MAX: 27.29MIN: 26.02 / MAX: 27.15MIN: 26.13 / MAX: 27.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface231246810SE +/- 0.07, N = 3SE +/- 0.13, N = 9SE +/- 0.14, N = 33.533.736.75MIN: 2.71 / MAX: 7.74MIN: 2.71 / MAX: 7.77MIN: 4.09 / MAX: 7.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet213306090120150SE +/- 0.70, N = 3SE +/- 0.21, N = 3SE +/- 0.32, N = 9125.32125.52125.83MIN: 121.6 / MAX: 147.65MIN: 122.12 / MAX: 148.95MIN: 121.56 / MAX: 147.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16231130260390520650SE +/- 2.99, N = 3SE +/- 1.70, N = 9SE +/- 5.85, N = 3574.27576.74578.67MIN: 541.12 / MAX: 789.15MIN: 541.81 / MAX: 644.73MIN: 548.37 / MAX: 607.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet1813220406080100SE +/- 0.16, N = 3SE +/- 0.06, N = 9SE +/- 0.13, N = 390.3390.3590.41MIN: 84.99 / MAX: 108.44MIN: 83.61 / MAX: 108.07MIN: 84.44 / MAX: 163.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet1321020304050SE +/- 0.14, N = 3SE +/- 0.07, N = 9SE +/- 0.07, N = 345.4645.4845.57MIN: 45.05 / MAX: 45.9MIN: 44.89 / MAX: 46.05MIN: 45.23 / MAX: 45.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet5031260120180240300SE +/- 0.12, N = 9SE +/- 0.13, N = 3SE +/- 0.29, N = 3274.17274.26274.39MIN: 259.13 / MAX: 393.41MIN: 260.64 / MAX: 291.99MIN: 259.13 / MAX: 314.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny23120406080100SE +/- 0.33, N = 3SE +/- 0.11, N = 9SE +/- 0.14, N = 382.2582.6388.30MIN: 76.17 / MAX: 87.21MIN: 75.23 / MAX: 87.43MIN: 75.36 / MAX: 92.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v232180160240320400SE +/- 0.07, N = 3SE +/- 0.38, N = 3SE +/- 0.29, N = 3360.52360.76361.05MIN: 359.04 / MAX: 369.94MIN: 358.58 / MAX: 364.92MIN: 359.02 / MAX: 369.361. (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 v1.131270140210280350SE +/- 0.15, N = 3SE +/- 0.72, N = 3SE +/- 0.06, N = 3341.56343.60344.44MIN: 340.64 / MAX: 348.21MIN: 341.1 / MAX: 368.72MIN: 341.44 / MAX: 348.561. (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 Network32120K40K60K80K100KSE +/- 1055.30, N = 14SE +/- 650.39, N = 13SE +/- 11238.90, N = 157112971704937081. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

OSBench

Test: Memory Allocations

OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations23120406080100SE +/- 0.11, N = 3SE +/- 0.38, N = 3SE +/- 0.13, N = 392.9893.0695.691. (CC) gcc options: -lm

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No21348121620SE +/- 0.11, N = 3SE +/- 0.23, N = 5SE +/- 0.27, N = 317.1217.2417.26

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis2131122334455SE +/- 0.35, N = 20SE +/- 0.38, N = 20SE +/- 2.13, N = 1645.2045.3048.151. (CC) gcc options: -O2 -std=c99

OSBench

Test: Create Files

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files231510152025SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.25, N = 520.4920.5120.751. (CC) gcc options: -lm

OSBench

Test: Create Threads

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads132510152025SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 319.3919.4919.611. (CC) gcc options: -lm

OSBench

Test: Launch Programs

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs123306090120150SE +/- 0.54, N = 3SE +/- 0.51, N = 3SE +/- 0.14, N = 3142.44143.75144.051. (CC) gcc options: -lm

OSBench

Test: Create Processes

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes3121020304050SE +/- 0.59, N = 3SE +/- 0.27, N = 3SE +/- 0.94, N = 1543.7143.7546.111. (CC) gcc options: -lm

Phoronix Test Suite v10.8.4