ncnnxa ARMv8 rev 0 testing with a Jetson-AGX and NVIDIA Tegra Xavier 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 2103010-HA-NCNNXA16277 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX Processor: ARMv8 rev 0 @ 1.19GHz (8 Cores), Motherboard: Jetson-AGX, Memory: 32GB, Disk: 31GB HBG4a2, Graphics: NVIDIA Tegra Xavier, Monitor: PL2493H
OS: Ubuntu 18.04, Kernel: 4.9.140-tegra (aarch64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.19.6, Display Driver: NVIDIA 32.4.4, 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: alwaysCompiler 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 -vProcessor Notes: Scaling Governor: tegra_cpufreq schedutil
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.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mobilenet ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 15 30 45 60 75 SE +/- 2.85, N = 6 67.29 MIN: 49.46 / MAX: 324.28 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 6 12 18 24 30 SE +/- 2.31, N = 6 26.39 MIN: 13.89 / MAX: 203.79 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 6 12 18 24 30 SE +/- 1.63, N = 6 25.92 MIN: 14.8 / MAX: 267.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: shufflenet-v2 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 6 12 18 24 30 SE +/- 1.72, N = 6 26.67 MIN: 15.07 / MAX: 248.36 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mnasnet ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 7 14 21 28 35 SE +/- 2.52, N = 6 27.93 MIN: 16.59 / MAX: 288.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: efficientnet-b0 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 13 26 39 52 65 SE +/- 22.75, N = 6 56.30 MIN: 24.19 / MAX: 576.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: blazeface ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 4 8 12 16 20 SE +/- 0.79, N = 6 13.77 MIN: 8.93 / MAX: 97.51 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: googlenet ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 13 26 39 52 65 SE +/- 3.02, N = 6 59.08 MIN: 37.45 / MAX: 154.79 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: vgg16 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 30 60 90 120 150 SE +/- 8.89, N = 6 116.20 MIN: 87.85 / MAX: 333.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet18 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 9 18 27 36 45 SE +/- 2.06, N = 6 38.34 MIN: 22.64 / MAX: 85.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: alexnet ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 8 16 24 32 40 SE +/- 1.36, N = 6 32.61 MIN: 22.44 / MAX: 60.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet50 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 30 60 90 120 150 SE +/- 20.79, N = 6 114.38 MIN: 65.79 / MAX: 551.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: yolov4-tiny ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 20 40 60 80 100 SE +/- 1.80, N = 6 84.75 MIN: 60.43 / MAX: 236.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: squeezenet_ssd ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 20 40 60 80 100 SE +/- 11.20, N = 6 81.11 MIN: 46.11 / MAX: 486.63 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 30 60 90 120 150 SE +/- 5.46, N = 6 147.25 MIN: 99.03 / MAX: 513.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: mobilenet ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 14 28 42 56 70 SE +/- 0.43, N = 3 61.99 MIN: 49.37 / MAX: 135.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 5 10 15 20 25 SE +/- 0.50, N = 3 22.42 MIN: 13.92 / MAX: 78.91 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 5 10 15 20 25 SE +/- 0.43, N = 3 22.93 MIN: 15.95 / MAX: 91.63 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: shufflenet-v2 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 6 12 18 24 30 SE +/- 0.83, N = 3 22.96 MIN: 18.21 / MAX: 143.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: mnasnet ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 6 12 18 24 30 SE +/- 0.37, N = 3 23.42 MIN: 19.93 / MAX: 86.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 8 16 24 32 40 SE +/- 0.48, N = 3 34.38 MIN: 28.79 / MAX: 101.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: blazeface ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 3 6 9 12 15 SE +/- 0.12, N = 3 12.68 MIN: 9.9 / MAX: 39.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: googlenet ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 13 26 39 52 65 SE +/- 0.66, N = 3 55.65 MIN: 39.62 / MAX: 158.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: vgg16 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 20 40 60 80 100 SE +/- 3.42, N = 3 107.0 MIN: 90.69 / MAX: 209.81 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet18 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 9 18 27 36 45 SE +/- 0.40, N = 3 37.23 MIN: 30.2 / MAX: 74.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: alexnet ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 8 16 24 32 40 SE +/- 0.20, N = 3 33.17 MIN: 28.12 / MAX: 54.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet50 ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 20 40 60 80 100 SE +/- 1.55, N = 3 92.37 MIN: 67.3 / MAX: 223.79 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 20 40 60 80 100 SE +/- 0.67, N = 3 82.40 MIN: 73.67 / MAX: 134.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 15 30 45 60 75 SE +/- 0.17, N = 3 67.02 MIN: 57.19 / MAX: 154.13 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: regnety_400m ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX 30 60 90 120 150 SE +/- 1.08, N = 3 147.30 MIN: 95.5 / MAX: 420.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
ARMv8 rev 0 - NVIDIA Tegra Xavier - Jetson-AGX Processor: ARMv8 rev 0 @ 1.19GHz (8 Cores), Motherboard: Jetson-AGX, Memory: 32GB, Disk: 31GB HBG4a2, Graphics: NVIDIA Tegra Xavier, Monitor: PL2493H
OS: Ubuntu 18.04, Kernel: 4.9.140-tegra (aarch64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.19.6, Display Driver: NVIDIA 32.4.4, 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: alwaysCompiler 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 -vProcessor Notes: Scaling Governor: tegra_cpufreq schedutil
Testing initiated at 1 March 2021 13:08 by user ump-agx.