ARMv8 rev 0 testing with a jetson-xavier and NVIDIA Tegra Xavier on Ubuntu 18.04 via the Phoronix Test Suite.
Jetson AGX Xavier Processor: ARMv8 rev 0 @ 2.27GHz (8 Cores), Motherboard: jetson-xavier, Memory: 16384MB, Disk: 31GB HBG4a2, Graphics: NVIDIA Tegra Xavier, Monitor: ASUS VP28U
OS: Ubuntu 18.04, Kernel: 4.9.108-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 31.0.2, OpenGL: 4.6.0, Vulkan: 1.1.76, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --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 schedutilDisk Mount Options Notes: data=ordered,relatime,rwPython Notes: Python 2.7.15rc1 + Python 3.6.5
NVIDIA Jetson AGX Xavier Thermal + Power OpenBenchmarking.org Phoronix Test Suite ARMv8 rev 0 @ 2.27GHz (8 Cores) jetson-xavier 16384MB 31GB HBG4a2 NVIDIA Tegra Xavier ASUS VP28U Ubuntu 18.04 4.9.108-tegra (aarch64) Unity 7.5.0 X Server 1.19.6 NVIDIA 31.0.2 4.6.0 1.1.76 GCC 7.3.0 + CUDA 10.0 ext4 3840x2160 Processor Motherboard Memory Disk Graphics Monitor OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution NVIDIA Jetson AGX Xavier Thermal + Power Benchmarks System Logs - --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --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 - data=ordered,relatime,rw - Python 2.7.15rc1 + Python 3.6.5
NVIDIA Jetson AGX Xavier Thermal + Power tscp: AI Chess Performance compress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 encode-flac: WAV To FLAC encode-mp3: WAV To MP3 darktable: Boat - CPU-only himeno: Poisson Pressure Solver scikit-learn: rust-prime: Prime Number Test To 200,000,000 rust-mandel: Time To Complete Serial/Parallel Mandelbrot asmfish: 1024 Hash Memory, 26 Depth build-linux-kernel: Time To Compile c-ray: Total Time - 4K, 16 Rays Per Pixel tensorrt-inference: AlexNet - INT8 - 32 - Disabled openssl: RSA 4096-bit Performance tensorrt-inference: AlexNet - FP16 - 32 - Disabled phpbench: PHP Benchmark Suite tensorrt-inference: GoogleNet - FP16 - 32 - Disabled tensorrt-inference: GoogleNet - INT8 - 32 - Disabled tensorrt-inference: VGG16 - INT8 - 32 - Disabled tensorrt-inference: VGG16 - FP16 - 32 - Disabled sqlite: Timed SQLite Insertions git: Time To Complete Common Git Commands pybench: Total For Average Test Times Jetson AGX Xavier 660267 147 55.16 35.47 28.17 277.41 225 32.50 109.80 8193464 788.60 168 2981 573 1981 189005 890 1627 446 247 78.65 12.53 3237 OpenBenchmarking.org
Rust Mandelbrot This test profile is of the combined time for the serial and parallel Mandelbrot sets written in Rustlang via willi-kappler/mandel-rust. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Rust Mandelbrot Time To Complete Serial/Parallel Mandelbrot Jetson AGX Xavier 20 40 60 80 100 SE +/- 2.50, N = 3 109.80 1. (CC) gcc options: -pie -nodefaultlibs -lutil -ldl -lrt -lpthread -lgcc_s -lc -lm
C-Ray This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Jetson AGX Xavier 40 80 120 160 200 SE +/- 0.94, N = 3 168 1. (CC) gcc options: -lm -lpthread -O3
OpenSSL OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance Jetson AGX Xavier 120 240 360 480 600 SE +/- 5.74, N = 3 573 1. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl
PHPBench PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite Jetson AGX Xavier 40K 80K 120K 160K 200K SE +/- 2893.66, N = 3 189005
Git This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Git Time To Complete Common Git Commands Jetson AGX Xavier 3 6 9 12 15 SE +/- 0.17, N = 3 12.53 1. git version 2.17.1
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times Jetson AGX Xavier 700 1400 2100 2800 3500 SE +/- 8.74, N = 3 3237
NVIDIA TensorRT Inference OpenBenchmarking.org Images Per Second Per Watt, More Is Better NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Jetson AGX Xavier 40 80 120 160 200 193.71
Min Avg Max Jetson AGX Xavier 11.6 15.4 19.8 OpenBenchmarking.org Watts, Fewer Is Better NVIDIA TensorRT Inference System Power Consumption Monitor 6 12 18 24 30
Min Avg Max Jetson AGX Xavier 36.0 37.7 39.0 OpenBenchmarking.org Celsius, Fewer Is Better NVIDIA TensorRT Inference System Temperature Monitor 11 22 33 44 55
OpenBenchmarking.org Images Per Second Per Watt, More Is Better NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Jetson AGX Xavier 30 60 90 120 150 113.88
Min Avg Max Jetson AGX Xavier 12.2 17.4 26.5 OpenBenchmarking.org Watts, Fewer Is Better NVIDIA TensorRT Inference System Power Consumption Monitor 8 16 24 32 40
Min Avg Max Jetson AGX Xavier 38.0 39.8 41.0 OpenBenchmarking.org Celsius, Fewer Is Better NVIDIA TensorRT Inference System Temperature Monitor 11 22 33 44 55
OpenBenchmarking.org Images Per Second Per Watt, More Is Better NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Jetson AGX Xavier 20 40 60 80 100 105.85
Min Avg Max Jetson AGX Xavier 11.8 15.4 38.9 OpenBenchmarking.org Watts, Fewer Is Better NVIDIA TensorRT Inference System Power Consumption Monitor 11 22 33 44 55
Min Avg Max Jetson AGX Xavier 39.0 41.5 43.5 OpenBenchmarking.org Celsius, Fewer Is Better NVIDIA TensorRT Inference System Temperature Monitor 12 24 36 48 60
OpenBenchmarking.org Images Per Second Per Watt, More Is Better NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Jetson AGX Xavier 12 24 36 48 60 53.02
Min Avg Max Jetson AGX Xavier 12.0 16.8 42.7 OpenBenchmarking.org Watts, Fewer Is Better NVIDIA TensorRT Inference System Power Consumption Monitor 12 24 36 48 60
Min Avg Max Jetson AGX Xavier 42.5 44.5 46.5 OpenBenchmarking.org Celsius, Fewer Is Better NVIDIA TensorRT Inference System Temperature Monitor 14 28 42 56 70
OpenBenchmarking.org Images Per Second Per Watt, More Is Better NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Jetson AGX Xavier 5 10 15 20 25 18.55
Min Avg Max Jetson AGX Xavier 12.6 24.1 43.9 OpenBenchmarking.org Watts, Fewer Is Better NVIDIA TensorRT Inference System Power Consumption Monitor 12 24 36 48 60
Min Avg Max Jetson AGX Xavier 44.5 47.3 50.5 OpenBenchmarking.org Celsius, Fewer Is Better NVIDIA TensorRT Inference System Temperature Monitor 14 28 42 56 70
OpenBenchmarking.org Images Per Second Per Watt, More Is Better NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Jetson AGX Xavier 3 6 9 12 15 9.60
Min Avg Max Jetson AGX Xavier 11.9 25.7 47.1 OpenBenchmarking.org Watts, Fewer Is Better NVIDIA TensorRT Inference System Power Consumption Monitor 14 28 42 56 70
Min Avg Max Jetson AGX Xavier 42.5 45.4 48.0 OpenBenchmarking.org Celsius, Fewer Is Better NVIDIA TensorRT Inference System Temperature Monitor 14 28 42 56 70
C-Ray Min Avg Max Jetson AGX Xavier 11.8 25.9 26.4 OpenBenchmarking.org Watts, Fewer Is Better C-Ray 1.1 System Power Consumption Monitor 8 16 24 32 40
Min Avg Max Jetson AGX Xavier 46.5 48.6 49.0 OpenBenchmarking.org Celsius, Fewer Is Better C-Ray 1.1 System Temperature Monitor 14 28 42 56 70
LAME MP3 Encoding Min Avg Max Jetson AGX Xavier 12.8 15.3 15.7 OpenBenchmarking.org Watts, Fewer Is Better LAME MP3 Encoding 3.100 System Power Consumption Monitor 5 10 15 20 25
Min Avg Max Jetson AGX Xavier 40.5 41.2 42.0 OpenBenchmarking.org Celsius, Fewer Is Better LAME MP3 Encoding 3.100 System Temperature Monitor 12 24 36 48 60
FLAC Audio Encoding Min Avg Max Jetson AGX Xavier 12.2 15.4 15.7 OpenBenchmarking.org Watts, Fewer Is Better FLAC Audio Encoding 1.3.2 System Power Consumption Monitor 5 10 15 20 25
Min Avg Max Jetson AGX Xavier 36.5 38.7 40.5 OpenBenchmarking.org Celsius, Fewer Is Better FLAC Audio Encoding 1.3.2 System Temperature Monitor 11 22 33 44 55
PHPBench OpenBenchmarking.org Score Per Watt, More Is Better PHPBench 0.8.1 PHP Benchmark Suite Jetson AGX Xavier 3K 6K 9K 12K 15K 12317.18
Min Avg Max Jetson AGX Xavier 11.7 15.3 15.7 OpenBenchmarking.org Watts, Fewer Is Better PHPBench 0.8.1 System Power Consumption Monitor 5 10 15 20 25
Min Avg Max Jetson AGX Xavier 36.5 37.2 38.0 OpenBenchmarking.org Celsius, Fewer Is Better PHPBench 0.8.1 System Temperature Monitor 11 22 33 44 55
PyBench Min Avg Max Jetson AGX Xavier 12.8 15.5 15.7 OpenBenchmarking.org Watts, Fewer Is Better PyBench 2018-02-16 System Power Consumption Monitor 5 10 15 20 25
Min Avg Max Jetson AGX Xavier 35.5 36.5 37.5 OpenBenchmarking.org Celsius, Fewer Is Better PyBench 2018-02-16 System Temperature Monitor 11 22 33 44 55
Timed Linux Kernel Compilation Min Avg Max Jetson AGX Xavier 12.0 23.9 25.0 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 4.18 System Power Consumption Monitor 8 16 24 32 40
Min Avg Max Jetson AGX Xavier 35.5 45.1 47.0 OpenBenchmarking.org Celsius, Fewer Is Better Timed Linux Kernel Compilation 4.18 System Temperature Monitor 14 28 42 56 70
SQLite Min Avg Max Jetson AGX Xavier 12.0 13.0 13.4 OpenBenchmarking.org Watts, Fewer Is Better SQLite 3.22 System Power Consumption Monitor 4 8 12 16 20
Min Avg Max Jetson AGX Xavier 35.5 36.9 38.5 OpenBenchmarking.org Celsius, Fewer Is Better SQLite 3.22 System Temperature Monitor 11 22 33 44 55
asmFish OpenBenchmarking.org Nodes/second Per Watt, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth Jetson AGX Xavier 70K 140K 210K 280K 350K 322296.99
Min Avg Max Jetson AGX Xavier 11.6 25.4 25.8 OpenBenchmarking.org Watts, Fewer Is Better asmFish 2018-07-23 System Power Consumption Monitor 8 16 24 32 40
Min Avg Max Jetson AGX Xavier 34.5 45.9 47.5 OpenBenchmarking.org Celsius, Fewer Is Better asmFish 2018-07-23 System Temperature Monitor 14 28 42 56 70
XZ Compression Min Avg Max Jetson AGX Xavier 12.4 19.0 21.7 OpenBenchmarking.org Watts, Fewer Is Better XZ Compression 5.2.4 System Power Consumption Monitor 6 12 18 24 30
Min Avg Max Jetson AGX Xavier 39.5 41.6 44.0 OpenBenchmarking.org Celsius, Fewer Is Better XZ Compression 5.2.4 System Temperature Monitor 12 24 36 48 60
Git Min Avg Max Jetson AGX Xavier 11.5 14.6 15.6 OpenBenchmarking.org Watts, Fewer Is Better Git System Power Consumption Monitor 5 10 15 20 25
Min Avg Max Jetson AGX Xavier 37.0 38.1 39.0 OpenBenchmarking.org Celsius, Fewer Is Better Git System Temperature Monitor 11 22 33 44 55
Himeno Benchmark OpenBenchmarking.org MFLOPS Per Watt, More Is Better Himeno Benchmark 3.0 Poisson Pressure Solver Jetson AGX Xavier 5 10 15 20 25 19.05
Min Avg Max Jetson AGX Xavier 12.4 14.6 14.9 OpenBenchmarking.org Watts, Fewer Is Better Himeno Benchmark 3.0 System Power Consumption Monitor 5 10 15 20 25
Min Avg Max Jetson AGX Xavier 35.5 36.4 37.0 OpenBenchmarking.org Celsius, Fewer Is Better Himeno Benchmark 3.0 System Temperature Monitor 11 22 33 44 55
OpenSSL OpenBenchmarking.org Signs Per Second Per Watt, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance Jetson AGX Xavier 6 12 18 24 30 26.17
Min Avg Max Jetson AGX Xavier 12.4 21.9 24.0 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 1.1.1 System Power Consumption Monitor 8 16 24 32 40
Min Avg Max Jetson AGX Xavier 34.5 40.0 41.5 OpenBenchmarking.org Celsius, Fewer Is Better OpenSSL 1.1.1 System Temperature Monitor 11 22 33 44 55
Scikit-Learn Min Avg Max Jetson AGX Xavier 11.8 16.0 16.3 OpenBenchmarking.org Watts, Fewer Is Better Scikit-Learn 0.17.1 System Power Consumption Monitor 5 10 15 20 25
Min Avg Max Jetson AGX Xavier 35.0 36.6 37.5 OpenBenchmarking.org Celsius, Fewer Is Better Scikit-Learn 0.17.1 System Temperature Monitor 11 22 33 44 55
Darktable Min Avg Max Jetson AGX Xavier 11.8 24.6 30.7 OpenBenchmarking.org Watts, Fewer Is Better Darktable System Power Consumption Monitor 9 18 27 36 45
Min Avg Max Jetson AGX Xavier 35.5 41.9 44.5 OpenBenchmarking.org Celsius, Fewer Is Better Darktable System Temperature Monitor 12 24 36 48 60
TSCP OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better TSCP 1.81 AI Chess Performance Jetson AGX Xavier 10K 20K 30K 40K 50K 48371.21
Min Avg Max Jetson AGX Xavier 12.4 13.7 14.3 OpenBenchmarking.org Watts, Fewer Is Better TSCP 1.81 System Power Consumption Monitor 5 10 15 20 25
Min Avg Max Jetson AGX Xavier 37.0 37.3 37.5 OpenBenchmarking.org Celsius, Fewer Is Better TSCP 1.81 System Temperature Monitor 11 22 33 44 55
Rust Prime Benchmark Min Avg Max Jetson AGX Xavier 12.8 18.6 19.4 OpenBenchmarking.org Watts, Fewer Is Better Rust Prime Benchmark System Power Consumption Monitor 6 12 18 24 30
Min Avg Max Jetson AGX Xavier 37.5 38.5 39.0 OpenBenchmarking.org Celsius, Fewer Is Better Rust Prime Benchmark System Temperature Monitor 11 22 33 44 55
Rust Mandelbrot Min Avg Max Jetson AGX Xavier 13.3 17.3 21.8 OpenBenchmarking.org Watts, Fewer Is Better Rust Mandelbrot System Power Consumption Monitor 6 12 18 24 30
Min Avg Max Jetson AGX Xavier 35.5 37.5 40.0 OpenBenchmarking.org Celsius, Fewer Is Better Rust Mandelbrot System Temperature Monitor 11 22 33 44 55
Meta Performance Per Watt OpenBenchmarking.org Performance Per Watt, More Is Better Meta Performance Per Watt Performance Per Watt Jetson AGX Xavier 200K 400K 600K 800K 1000K 822887.13
System Power Consumption Monitor OpenBenchmarking.org Watts System Power Consumption Monitor Phoronix Test Suite System Monitoring Jetson AGX Xavier 10 20 30 40 50 Min: 11.5 / Avg: 20.65 / Max: 47.1
System Temperature Monitor OpenBenchmarking.org Celsius System Temperature Monitor Phoronix Test Suite System Monitoring Jetson AGX Xavier 10 20 30 40 50 Min: 34 / Avg: 42.47 / Max: 50.5
Jetson AGX Xavier Processor: ARMv8 rev 0 @ 2.27GHz (8 Cores), Motherboard: jetson-xavier, Memory: 16384MB, Disk: 31GB HBG4a2, Graphics: NVIDIA Tegra Xavier, Monitor: ASUS VP28U
OS: Ubuntu 18.04, Kernel: 4.9.108-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 31.0.2, OpenGL: 4.6.0, Vulkan: 1.1.76, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 3840x2160
Compiler Notes: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --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 schedutilDisk Mount Options Notes: data=ordered,relatime,rwPython Notes: Python 2.7.15rc1 + Python 3.6.5
Testing initiated at 24 December 2018 09:23 by user NVIDIA.