NVIDIA Jetson Nano Benchmarks ARMv8 rev 1 testing with a NVIDIA Jetson Nano Developer Kit and NVIDIA TEGRA on Ubuntu 18.04 via the Phoronix Test Suite. Jetson Nano: Processor: ARMv8 rev 1 @ 1.43GHz (4 Cores), Motherboard: jetson-nano, Memory: 4096MB, Disk: 32GB GB1QT, Graphics: NVIDIA Tegra X1, Monitor: VE228, 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 32.1.0, OpenGL: 4.6.0, Vulkan: 1.1.85, Compiler: GCC 7.3.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 Nano: Processor: ARMv8 rev 1 @ 0.92GHz (2 Cores), Motherboard: NVIDIA Jetson Nano Developer Kit, Memory: 4096MB, Disk: 64GB SN64G, Graphics: NVIDIA TEGRA, 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, Compiler: GCC 7.4.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 nano: Processor: ARMv8 rev 1 @ 0.92GHz (2 Cores), Motherboard: NVIDIA Jetson Nano Developer Kit, Memory: 4096MB, Disk: 64GB SN64G, Graphics: NVIDIA TEGRA, 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, Compiler: GCC 7.4.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 Nano 5W: Processor: ARMv8 rev 1 @ 0.92GHz (2 Cores), Motherboard: NVIDIA Jetson Nano Developer Kit, Memory: 4096MB, Disk: 64GB SN64G, Graphics: NVIDIA TEGRA, 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, Compiler: GCC 7.4.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 Nano Max: Processor: ARMv8 rev 1 @ 1.43GHz (4 Cores), Motherboard: NVIDIA Jetson Nano Developer Kit, Memory: 4096MB, Disk: 64GB SN64G, Graphics: NVIDIA TEGRA, 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, Compiler: GCC 7.4.0 + CUDA 10.0, File-System: ext4, Screen Resolution: 1920x1080 CUDA Mini-Nbody 2015-11-10 Test: Original (NBody^2)/s > Higher Is Better Jetson Nano . 4.09 |=========================================================== nano ........ 3.07 |============================================ Nano 5W ..... 3.06 |============================================ CUDA Mini-Nbody 2015-11-10 Test: Cache Blocking (NBody^2)/s > Higher Is Better Jetson Nano . 8.47 |=========================================================== nano ........ 5.67 |======================================= Nano 5W ..... 5.67 |======================================= CUDA Mini-Nbody 2015-11-10 Test: Loop Unrolling (NBody^2)/s > Higher Is Better Jetson Nano . 8.93 |=========================================================== nano ........ 6.00 |======================================== Nano 5W ..... 6.00 |======================================== CUDA Mini-Nbody 2015-11-10 Test: SOA Data Layout (NBody^2)/s > Higher Is Better Jetson Nano . 3.66 |=========================================================== nano ........ 2.44 |======================================= Nano 5W ..... 2.44 |======================================= CUDA Mini-Nbody 2015-11-10 Test: Flush Denormals To Zero (NBody^2)/s > Higher Is Better Jetson Nano . 3.66 |=========================================================== nano ........ 2.44 |======================================= Nano 5W ..... 2.44 |======================================= GLmark2 276 Resolution: 800 x 600 Score > Higher Is Better Jetson Nano . 1915 |=========================================================== GLmark2 276 Resolution: 1024 x 768 Score > Higher Is Better Jetson Nano . 1362 |=========================================================== GLmark2 276 Resolution: 1280 x 1024 Score > Higher Is Better Jetson Nano . 904 |============================================================ GLmark2 276 Resolution: 1920 x 1080 Score > Higher Is Better Jetson Nano . 646 |============================================================ NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 10.29 |========================================================== Nano 5W ..... 9.15 |==================================================== NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 14.18 |========================================================== Nano 5W ..... 10.92 |============================================= NVIDIA TensorRT Inference Neural Network: VGG16 - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 14.60 |========================================================== Nano 5W ..... 10.99 |============================================ NVIDIA TensorRT Inference Neural Network: VGG19 - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 8.70 |=========================================================== Nano 5W ..... 7.64 |==================================================== NVIDIA TensorRT Inference Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 11.61 |========================================================== Nano 5W ..... 8.83 |============================================ NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 54.86 |======================================================== Nano 5W ..... 57.10 |========================================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 115 |============================================================ Nano 5W ..... 107 |======================================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 134 |============================================================ Nano 5W ..... 111 |================================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 40.48 |========================================================== Nano 5W ..... 38.45 |======================================================= NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 82.30 |========================================================== Nano 5W ..... 69.06 |================================================= NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 92.54 |========================================================== Nano 5W ..... 71.92 |============================================= NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 169 |============================================================ Nano 5W ..... 122 |=========================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 202 |============================================================ Nano 5W ..... 149 |============================================ NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 113.76 |========================================================= Nano 5W ..... 83.12 |========================================== NVIDIA TensorRT Inference Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 128.55 |========================================================= Nano 5W ..... 89.88 |======================================== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 27.37 |========================================================== Nano 5W ..... 25.70 |====================================================== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 40.65 |========================================================== Nano 5W ..... 30.14 |=========================================== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 42.05 |========================================================== Nano 5W ..... 30.90 |=========================================== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 14.61 |========================================================== Nano 5W ..... 13.79 |======================================================= NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 20.59 |========================================================== Nano 5W ..... 16.21 |============================================== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 22.16 |========================================================== Nano 5W ..... 16.62 |============================================ NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 65.61 |========================================================== Nano 5W ..... 59.39 |===================================================== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 85.12 |========================================================== Nano 5W ..... 66.29 |============================================= NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 85.92 |========================================================== Nano 5W ..... 67.95 |============================================== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 35.87 |========================================================== Nano 5W ..... 33.25 |====================================================== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 47.83 |========================================================== Nano 5W ..... 37.68 |============================================== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 49.18 |========================================================== Nano 5W ..... 38.70 |============================================== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 10.09 |========================================================== Nano 5W ..... 10.12 |========================================================== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 15.78 |========================================================== Nano 5W ..... 11.39 |========================================== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 8 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 16.42 |========================================================== Nano 5W ..... 11.79 |========================================== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: INT8 - Batch Size: 1 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 5.45 |=========================================================== Nano 5W ..... 5.32 |========================================================== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 44.49 |========================================================== Nano 5W ..... 32.14 |========================================== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 46.26 |========================================================== Nano 5W ..... 32.79 |========================================= NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 23.82 |========================================================== Nano 5W ..... 17.31 |========================================== NVIDIA TensorRT Inference Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 25.01 |========================================================== Nano 5W ..... 17.65 |========================================= NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 93.33 |========================================================== Nano 5W ..... 69.68 |=========================================== NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 98.75 |========================================================== Nano 5W ..... 70.57 |========================================= NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 52.19 |========================================================== Nano 5W ..... 39.60 |============================================ NVIDIA TensorRT Inference Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 55.47 |========================================================== Nano 5W ..... 40.12 |========================================== NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 16 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 16.98 |========================================================== Nano 5W ..... 12.13 |========================================= NVIDIA TensorRT Inference Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled Images Per Second > Higher Is Better Jetson Nano . 17.28 |========================================================== Nano 5W ..... 12.30 |========================================= Java 2D Microbenchmark 1.0 Rendering Test: Text Rendering Units Per Second > Higher Is Better Jetson Nano . 6226.12 |======================================================== Java 2D Microbenchmark 1.0 Rendering Test: Image Rendering Units Per Second > Higher Is Better Jetson Nano . 897658.51 |====================================================== Java 2D Microbenchmark 1.0 Rendering Test: Vector Graphics Rendering Units Per Second > Higher Is Better Jetson Nano . 486283.59 |====================================================== RAMspeed SMP 3.5.0 Type: Add - Benchmark: Integer MB/s > Higher Is Better Jetson Nano . 7944 |=========================================================== Nano 5W ..... 6550 |================================================= RAMspeed SMP 3.5.0 Type: Copy - Benchmark: Integer MB/s > Higher Is Better Jetson Nano . 9544 |=========================================================== Nano 5W ..... 8048 |================================================== RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer MB/s > Higher Is Better Jetson Nano . 9142 |=========================================================== Nano 5W ..... 7090 |============================================== RAMspeed SMP 3.5.0 Type: Triad - Benchmark: Integer MB/s > Higher Is Better Jetson Nano . 4856 |======================================================= Nano 5W ..... 5168 |=========================================================== RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer MB/s > Higher Is Better Jetson Nano . 7840 |=========================================================== Nano 5W ..... 6710 |================================================== MBW 2018-09-08 Test: Memory Copy - Array Size: 128 MiB MiB/s > Higher Is Better Jetson Nano . 3420 |=========================================================== Nano 5W ..... 2963 |=================================================== MBW 2018-09-08 Test: Memory Copy - Array Size: 512 MiB MiB/s > Higher Is Better Jetson Nano . 3439 |=========================================================== Nano 5W ..... 2977 |=================================================== MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 128 MiB MiB/s > Higher Is Better Jetson Nano . 3450 |=========================================================== Nano 5W ..... 2963 |=================================================== MBW 2018-09-08 Test: Memory Copy, Fixed Block Size - Array Size: 512 MiB MiB/s > Higher Is Better Jetson Nano . 3449 |=========================================================== Nano 5W ..... 2967 |=================================================== t-test1 2017-01-13 Threads: 1 Seconds < Lower Is Better Jetson Nano . 80.31 |========================================= Nano 5W ..... 110.70 |========================================================= t-test1 2017-01-13 Threads: 2 Seconds < Lower Is Better Jetson Nano . 27.35 |========================================== Nano 5W ..... 37.54 |========================================================== LeelaChessZero 0.20.1 Backend: BLAS Nodes Per Second > Higher Is Better Jetson Nano . 15.34 |========================================================== LeelaChessZero 0.20.1 Backend: CUDA + cuDNN Nodes Per Second > Higher Is Better Jetson Nano . 139 |============================================================ x264 2018-09-25 H.264 Video Encoding Frames Per Second > Higher Is Better Jetson Nano . 5.12 |=========================================================== Nano 5W ..... 2.31 |=========================== 7-Zip Compression 16.02 Compress Speed Test MIPS > Higher Is Better Jetson Nano . 4050 |=========================================================== Nano 5W ..... 2032 |============================== Timed Linux Kernel Compilation 4.18 Time To Compile Seconds < Lower Is Better Jetson Nano . 2379 |========================== Nano 5W ..... 5479 |=========================================================== XZ Compression 5.2.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9 Seconds < Lower Is Better Jetson Nano . 44.43 |========================================================== Zstd Compression 1.3.4 Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19 Seconds < Lower Is Better Jetson Nano . 127.28 |=========================================================