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 10w: 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 |=========================================== Nano 10w .... 4.17 |=========================================================== 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 |======================================= Nano 10w .... 8.44 |=========================================================== 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 |======================================== Nano 10w .... 8.92 |=========================================================== 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 |======================================= Nano 10w .... 3.64 |=========================================================== 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 |======================================= Nano 10w .... 3.64 |=========================================================== 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 |============================================= Nano 10w .... 11.92 |========================================================== 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 |=========================================== Nano 10w .... 14.68 |========================================================== 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 |=========================================== Nano 10w .... 14.80 |========================================================== 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 |============================================ Nano 10w .... 10.05 |========================================================== 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 |=========================================== Nano 10w .... 11.90 |========================================================== 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 |================================================ Nano 10w .... 68.60 |========================================================== 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 |============================================== Nano 10w .... 141 |============================================================ 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 |============================================ Nano 10w .... 153 |============================================================ 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 |================================================= Nano 10w .... 45.89 |========================================================== 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 |=========================================== Nano 10w .... 92.10 |========================================================== 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 |======================================== Nano 10w .... 102.30 |========================================================= 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 |========================================= Nano 10w .... 179 |============================================================ 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 |========================================== Nano 10w .... 213 |============================================================ 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 |======================================== Nano 10w .... 119.56 |========================================================= 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 |======================================= Nano 10w .... 130.98 |========================================================= 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 |========================================= Nano 10w .... 36.41 |========================================================== 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 |========================================= Nano 10w .... 42.89 |========================================================== 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 |========================================= Nano 10w .... 44.05 |========================================================== 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 |========================================= Nano 10w .... 19.50 |========================================================== 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 |======================================== Nano 10w .... 23.41 |========================================================== 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 |========================================= Nano 10w .... 23.76 |========================================================== 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 |========================================== Nano 10w .... 82.85 |========================================================== 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 |========================================= Nano 10w .... 94.18 |========================================================== 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 |========================================= Nano 10w .... 96.22 |========================================================== 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 |======================================== Nano 10w .... 48.32 |========================================================== 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 |========================================= Nano 10w .... 53.68 |========================================================== 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 |======================================== Nano 10w .... 55.78 |========================================================== 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 |========================================= Nano 10w .... 14.35 |========================================================== 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 |========================================= Nano 10w .... 16.27 |========================================================== 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 |========================================= Nano 10w .... 16.77 |========================================================== 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 |========================================= Nano 10w .... 7.63 |=========================================================== 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 |========================================= Nano 10w .... 45.91 |========================================================== 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 |========================================= Nano 10w .... 46.64 |========================================================== 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 |======================================== Nano 10w .... 24.83 |========================================================== 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 |======================================== Nano 10w .... 25.31 |========================================================== 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 |========================================= Nano 10w .... 98.50 |========================================================== 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 |========================================= Nano 10w .... 99.98 |========================================================== 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 |======================================== Nano 10w .... 57.12 |========================================================== 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 |======================================== Nano 10w .... 57.93 |========================================================== 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 |========================================= Nano 10w .... 17.25 |========================================================== 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 |========================================= Nano 10w .... 17.48 |========================================================== 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 |================================================ Nano 10w .... 8079 |=========================================================== RAMspeed SMP 3.5.0 Type: Copy - Benchmark: Integer MB/s > Higher Is Better Jetson Nano . 9544 |========================================================== Nano 5W ..... 8048 |================================================= Nano 10w .... 9697 |=========================================================== RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer MB/s > Higher Is Better Jetson Nano . 9142 |========================================================== Nano 5W ..... 7090 |============================================= Nano 10w .... 9331 |=========================================================== RAMspeed SMP 3.5.0 Type: Triad - Benchmark: Integer MB/s > Higher Is Better Jetson Nano . 4856 |====================================================== Nano 5W ..... 5168 |========================================================== Nano 10w .... 5298 |=========================================================== RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer MB/s > Higher Is Better Jetson Nano . 7840 |========================================================= Nano 5W ..... 6710 |================================================= Nano 10w .... 8060 |=========================================================== MBW 2018-09-08 Test: Memory Copy - Array Size: 128 MiB MiB/s > Higher Is Better Jetson Nano . 3420 |========================================================= Nano 5W ..... 2963 |================================================= Nano 10w .... 3543 |=========================================================== MBW 2018-09-08 Test: Memory Copy - Array Size: 512 MiB MiB/s > Higher Is Better Jetson Nano . 3439 |========================================================= Nano 5W ..... 2977 |================================================== Nano 10w .... 3542 |=========================================================== 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 |================================================= Nano 10w .... 3537 |=========================================================== 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 |================================================= Nano 10w .... 3542 |=========================================================== t-test1 2017-01-13 Threads: 1 Seconds < Lower Is Better Jetson Nano . 80.31 |========================================= Nano 5W ..... 110.70 |========================================================= Nano 10w .... 78.72 |========================================= t-test1 2017-01-13 Threads: 2 Seconds < Lower Is Better Jetson Nano . 27.35 |========================================== Nano 5W ..... 37.54 |========================================================== Nano 10w .... 26.90 |========================================== 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 |========================= Nano 10w .... 5.43 |=========================================================== 7-Zip Compression 16.02 Compress Speed Test MIPS > Higher Is Better Jetson Nano . 4050 |========================================================== Nano 5W ..... 2032 |============================= Nano 10w .... 4129 |=========================================================== Timed Linux Kernel Compilation 4.18 Time To Compile Seconds < Lower Is Better Jetson Nano . 2379 |========================== Nano 5W ..... 5479 |=========================================================== Nano 10w .... 2163 |======================= 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 |=========================================================