jetson-nano
ARMv8 rev 1 testing with a jetson-nano and NVIDIA TEGRA on Ubuntu 18.04 via the Phoronix Test Suite.


scimark2 on jetson nano: 

	Processor: ARMv8 rev 1 @ 1.43GHz (4 Cores), Motherboard: jetson-nano, Memory: 4096MB, Disk: 64GB SE64G, Graphics: NVIDIA TEGRA, Monitor: MD 20165, Network: Realtek RTL8111/8168/8411

	OS: Ubuntu 18.04, Kernel: 4.9.140-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 1.0.0, Vulkan: 1.1.85, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080


SciMark 2.0
Computational Test: Composite
Mflops > Higher Is Better
scimark2 on jetson nano . 123.15 |=============================================


SciMark 2.0
Computational Test: Monte Carlo
Mflops > Higher Is Better
scimark2 on jetson nano . 35.52 |==============================================


SciMark 2.0
Computational Test: Fast Fourier Transform
Mflops > Higher Is Better
scimark2 on jetson nano . 34.42 |==============================================


SciMark 2.0
Computational Test: Sparse Matrix Multiply
Mflops > Higher Is Better
scimark2 on jetson nano . 117.34 |=============================================


SciMark 2.0
Computational Test: Dense LU Matrix Factorization
Mflops > Higher Is Better
scimark2 on jetson nano . 151.27 |=============================================


SciMark 2.0
Computational Test: Jacobi Successive Over-Relaxation
Mflops > Higher Is Better
scimark2 on jetson nano . 277.19 |=============================================