jetson32-scikitlearn\

ARMv8 rev 0 testing with a Jetson-AGX and NVIDIA TEGRA 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 2005081-NI-JETSON32S59
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Result
Identifier
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Performance Per
Dollar
Date
Run
  Test
  Duration
roci-jetson
May 08 2020
  2 Minutes


jetson32-scikitlearn\OpenBenchmarking.orgPhoronix Test SuiteARMv8 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 10.2ext41920x1080ProcessorMotherboardMemoryDiskGraphicsOSKernelDesktopDisplay ServerDisplay DriverVulkanCompilerFile-SystemScreen ResolutionJetson32-scikitlearn\ BenchmarksSystem Logs- Scaling Governor: tegra_cpufreq schedutil- Python 2.7.17 + Python 3.6.9

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

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