Skip to main content
. 2019 Jul 31;19(15):3371. doi: 10.3390/s19153371

Table 2.

Comparison between Jetson modules used for target detection and tracking.

TX1 1 TX2 2 AGX XAVIER 3
GPU NVidia Maxwell™ GPU with 256 NVidia® CUDA® Cores NVidia Pascal™ architecture with 256 NVidia CUDA cores 512-core Volta GPU with Tensor Cores
DL Accelerator None None (2x) NVDLA Engine
CPU Quad-core ARM® Cortex®-A57 MPCore Processor Dual-core Denver 2 64-bit CPU and quad-core ARM A57 complex 8-Core ARM v8.2 64-bit CPU, 8-MB L2 + 4 MB L3
MEMORY 4 GB LPDDR4 Memory 8 GB 128-bit LPDDR4 16 GB 256-bit LPDDR4x | 137 GB/s
STORAGE 16 GB eMMC 5.1 Flash Storage 32 GB eMMC 5.1 32 GB eMMC 5.1
VIDEO ENCODE 4K @ 30 2 × 4K @ 30 (HEVC) 8 × 4K @ 60 (HEVC)
VIDEO DECODE 4K @ 30 2 × 4K @ 30, 12-bit support 12 × 4K @ 30 12-bit support
JetPack Support Jetpack 2.0~3.3 Jetpack 3.0~3.3 JetPack 4.1.1

1 NVidia Jetson TX2 delivers twice the intelligence to the edge. Available online: devblogs.nvidia.com/jetson-tx2-delivers-twice-intelligence-edge (accessed on 3 March 2019). 2 JETSON TX2. Available online: www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-tx2 (accessed on 3 March 2019). 3 Jetson AGX Xavier Developer Kit. Available online: https://developer.nvidia.com/embedded/buy/jetson-agx-xavier-devkit (accessed on 3 March 2019).