jetson32-scikitlearn\

ARMv8 rev 0 testing with a Jetson-AGX and NVIDIA TEGRA on Ubuntu 18.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2005081-NI-JETSON32S59.

jetson32-scikitlearn\ProcessorMotherboardMemoryDiskGraphicsOSKernelDesktopDisplay ServerDisplay DriverVulkanCompilerFile-SystemScreen Resolutionroci-jetsonARMv8 rev 0 @ 2.27GHz (8 Cores)Jetson-AGX32GB31GB HBG4a2NVIDIA TEGRAUbuntu 18.044.9.140-tegra (aarch64)GNOME Shell 3.28.4X Server 1.19.6NVIDIA 1.0.01.2.131GCC 7.5.0 + CUDA 10.2ext41920x1080OpenBenchmarking.org- Scaling Governor: tegra_cpufreq schedutil- Python 2.7.17 + Python 3.6.9

jetson32-scikitlearn\scikit-learn: Standard ErrorStandard Deviationroci-jetson28.7270.160.97%OpenBenchmarking.org

Scikit-Learn

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1roci-jetson714212835SE +/- 0.16, N = 328.73

Phoronix Test Suite v10.8.5