gb-jetson-bench ARMv8 Cortex-A57 testing with a NVIDIA Jetson Nano 2GB Developer Kit and NVIDIA TEGRA on Ubuntu 18.04 via the Phoronix Test Suite. ARMv8 Cortex-A57: Processor: ARMv8 Cortex-A57 @ 1.48GHz (4 Cores), Motherboard: NVIDIA Jetson Nano 2GB Developer Kit, Memory: 2048MB, Disk: 32GB SE32G, Graphics: NVIDIA TEGRA, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 18.04, Kernel: 4.9.253-tegra (aarch64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.19.6, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1680x1050 ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano: Processor: ARMv8 Cortex-A57 @ 1.48GHz (4 Cores), Motherboard: NVIDIA Jetson Nano 2GB Developer Kit, Memory: 2048MB, Disk: 32GB SE32G, Graphics: NVIDIA TEGRA, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 18.04, Kernel: 4.9.253-tegra (aarch64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.19.6, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1680x1050 Ubuntu 18.04: Processor: ARMv8 Cortex-A57 @ 1.48GHz (4 Cores), Motherboard: NVIDIA Jetson Nano 2GB Developer Kit, Memory: 2048MB, Disk: 32GB SE32G, Graphics: NVIDIA TEGRA, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 18.04, Kernel: 4.9.253-tegra (aarch64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.19.6, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1680x1050 SE32G: Processor: ARMv8 Cortex-A57 @ 1.48GHz (4 Cores), Motherboard: NVIDIA Jetson Nano 2GB Developer Kit, Memory: 2048MB, Disk: 32GB SE32G, Graphics: NVIDIA TEGRA, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 18.04, Kernel: 4.9.253-tegra (aarch64), Desktop: GNOME Shell 3.28.4, Display Server: X Server 1.19.6, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1680x1050 Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better ARMv8 Cortex-A57 . 172.58 |==================================================== Sysbench 1.0.20 Test: RAM / Memory MiB/sec > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 5194.04 |=============== Sysbench 1.0.20 Test: CPU Events Per Second > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 4789.92 |=============== perf-bench Benchmark: Epoll Wait ops/sec > Higher Is Better Ubuntu 18.04 . 162795 |======================================================== perf-bench Benchmark: Futex Hash ops/sec > Higher Is Better Ubuntu 18.04 . 887244 |======================================================== perf-bench Benchmark: Memcpy 1MB GB/sec > Higher Is Better Ubuntu 18.04 . 6.659626 |====================================================== perf-bench Benchmark: Memset 1MB GB/sec > Higher Is Better Ubuntu 18.04 . 8.417906 |====================================================== perf-bench Benchmark: Sched Pipe ops/sec > Higher Is Better Ubuntu 18.04 . 57392 |========================================================= perf-bench Benchmark: Futex Lock-Pi ops/sec > Higher Is Better Ubuntu 18.04 . 3625 |========================================================== perf-bench Benchmark: Syscall Basic ops/sec > Higher Is Better Ubuntu 18.04 . 1998391 |======================================================= Stress-NG 0.13.02 Test: MMAP Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 4.66 |================== Stress-NG 0.13.02 Test: NUMA Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 263.41 |================ Stress-NG 0.13.02 Test: MEMFD Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 30.51 |================= Stress-NG 0.13.02 Test: Atomic Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 85141.23 |============== Stress-NG 0.13.02 Test: Crypto Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 272.85 |================ Stress-NG 0.13.02 Test: Malloc Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 4411579.97 |============ Stress-NG 0.13.02 Test: Forking Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 4225.80 |=============== Stress-NG 0.13.02 Test: SENDFILE Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 10611.05 |============== Stress-NG 0.13.02 Test: CPU Cache Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 92.68 |================= Stress-NG 0.13.02 Test: CPU Stress Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 372.48 |================ Stress-NG 0.13.02 Test: Semaphores Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 233332.35 |============= Stress-NG 0.13.02 Test: Matrix Math Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 1180.32 |=============== Stress-NG 0.13.02 Test: Vector Math Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 2824.24 |=============== Stress-NG 0.13.02 Test: Memory Copying Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 301.27 |================ Stress-NG 0.13.02 Test: Socket Activity Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 781.36 |================ Stress-NG 0.13.02 Test: Context Switching Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 193794.17 |============= Stress-NG 0.13.02 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 69110.04 |============== Stress-NG 0.13.02 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 11.88 |================= Stress-NG 0.13.02 Test: System V Message Passing Bogo Ops/s > Higher Is Better ARMv8 Cortex-A57 - NVIDIA TEGRA - NVIDIA Jetson Nano . 340885.08 |============= Dbench 4.0 Client Count: 1 MB/s > Higher Is Better SE32G . 46.36 |================================================================