0226ncnn

ARMv8 Cortex-A57 testing with a NVIDIA Jetson Nano 2GB Developer Kit and NVIDIA Tegra X1 on Ubuntu 18.04 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 2102268-HA-0226NCNN255
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ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson
February 26 2021
  18 Hours, 13 Minutes
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ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson

Processor: ARMv8 Cortex-A57 @ 1.48GHz (4 Cores), Motherboard: NVIDIA Jetson Nano 2GB Developer Kit, Memory: 2048MB, Disk: 62GB SA64G, Graphics: NVIDIA Tegra X1, Monitor: PL2493H, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 18.04, Kernel: 4.9.201-tegra (aarch64), Desktop: LXDE 0.9.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 32.5.1, OpenGL: 4.6.0, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only -v
Processor Notes: Scaling Governor: tegra-cpufreq schedutil

0226ncnnOpenBenchmarking.orgPhoronix Test SuiteARMv8 Cortex-A57 @ 1.48GHz (4 Cores)NVIDIA Jetson Nano 2GB Developer Kit2048MB62GB SA64GNVIDIA Tegra X1PL2493HRealtek RTL8111/8168/8411Ubuntu 18.044.9.201-tegra (aarch64)LXDE 0.9.3X Server 1.19.6NVIDIA 32.5.14.6.01.2.131GCC 7.5.0 + CUDA 10.2ext41920x1080ProcessorMotherboardMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution0226ncnn BenchmarksSystem Logs- Transparent Huge Pages: always- --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only -v - Scaling Governor: tegra-cpufreq schedutil

0226ncnnncnn: 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: CPU - squeezenet_ssdncnn: CPU - regnety_400mARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson128.6939.3435.6025.2836.4372.109.15109.96502.31113.47122.03247.29180.4993.6069.44OpenBenchmarking.org

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 20201218Target: CPU - Model: mobilenetARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson306090120150SE +/- 8.81, N = 9128.69MIN: 110.63 / MAX: 563.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson918273645SE +/- 3.32, N = 939.34MIN: 31.73 / MAX: 161.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson816243240SE +/- 3.40, N = 935.60MIN: 28.96 / MAX: 475.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson612182430SE +/- 1.31, N = 925.28MIN: 21.19 / MAX: 89.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson816243240SE +/- 1.83, N = 936.43MIN: 30.35 / MAX: 169.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson1632486480SE +/- 2.88, N = 972.10MIN: 65.88 / MAX: 161.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson3691215SE +/- 0.49, N = 99.15MIN: 7.63 / MAX: 94.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson20406080100SE +/- 4.15, N = 9109.96MIN: 96.92 / MAX: 288.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson110220330440550SE +/- 9.92, N = 9502.31MIN: 456.26 / MAX: 1065.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson306090120150SE +/- 3.17, N = 9113.47MIN: 103.28 / MAX: 349.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson306090120150SE +/- 4.18, N = 9122.03MIN: 105.68 / MAX: 550.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson50100150200250SE +/- 4.75, N = 9247.29MIN: 225.68 / MAX: 620.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson4080120160200SE +/- 7.26, N = 9180.49MIN: 160.68 / MAX: 437.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson20406080100SE +/- 2.57, N = 993.60MIN: 85.3 / MAX: 298.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson1530456075SE +/- 5.57, N = 969.44MIN: 54.15 / MAX: 431.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ARMv8 Cortex-A57 - NVIDIA Tegra X1 - NVIDIA Jetson

Processor: ARMv8 Cortex-A57 @ 1.48GHz (4 Cores), Motherboard: NVIDIA Jetson Nano 2GB Developer Kit, Memory: 2048MB, Disk: 62GB SA64G, Graphics: NVIDIA Tegra X1, Monitor: PL2493H, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 18.04, Kernel: 4.9.201-tegra (aarch64), Desktop: LXDE 0.9.3, Display Server: X Server 1.19.6, Display Driver: NVIDIA 32.5.1, OpenGL: 4.6.0, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only -v
Processor Notes: Scaling Governor: tegra-cpufreq schedutil

Testing initiated at 26 February 2021 15:53 by user jetson.