ARMv8 rev 0 testing with a Jetson-AGX and NVIDIA TEGRA on Ubuntu 18.04 via the Phoronix Test Suite.
Processor: ARMv8 rev 0 @ 2.27GHz (8 Cores), Motherboard: Jetson-AGX, Memory: 32GB, Disk: 31GB HBG4a2, Graphics: NVIDIA TEGRA
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 1.0.0, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1920x1080
Processor Notes: Scaling Governor: tegra_cpufreq schedutil
Python Notes: Python 2.7.17 + Python 3.6.9
Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.
Processor: ARMv8 rev 0 @ 2.27GHz (8 Cores), Motherboard: Jetson-AGX, Memory: 32GB, Disk: 31GB HBG4a2, Graphics: NVIDIA TEGRA
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 1.0.0, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1920x1080
Processor Notes: Scaling Governor: tegra_cpufreq schedutil
Python Notes: Python 2.7.17 + Python 3.6.9
Testing initiated at 8 May 2020 19:56 by user rocinante.