Features: Low power consumption and stable performance. notes: 1. Compatibility: Can be used with H2, H3, H5, H6, A64 Orange Pi development boards. 2. Provide model conversion tools to support caffe-based convolutional neural network (CNN) model decomposition. 3. The PLAI training tool can directly apply the original image, video, voice, natural language rapid training prototype to the neural network computing stick. Model: for Orange Pi AI Stick Lite AI Processor: Chip Series: Lightspeeur Chip model: SPR2801s Energy efficiency: 9.3TOPs/watt Ultra-low power consumption: 2.8TOPs@300mW Peak performance: 5.6TOPs@100MHz Hardware interface: SDIO3.0/eMMC 4.5 Chip package: BGA (7mm*7mm) Manufacturing process: 28nm Interface standard: USB2.0, USB3.0 Type-A Transmission bandwidth: read bandwidth=68.00MB/s, write bandwidth=84.69MB/s Open source frameworks: Caffe, Tensorflow, PyTorch (Pytorch only supports classification tasks for the time being) Supported models: VGG, SSD Operating System: X86 Linux (Ubuntu 16.04) ARM Linux/ ARM Android (ARM v7, ARM v8) Working voltage: DC 5V 200mA Operating temperature: 0C to 40C Storage temperature: -20C to 80C Dimensions: 66.5mm x 20.5mm x 10.8mm Software provided: Plai (based on Pytorch's "full-stack" framework) Software provided: Open ARM, X86 SDK, built-in 1 to 2 model demos; model training tool Plait. Material: ABS colour: White Package Contents: 1 x for Orange Pi AI Stick Lite Only the above package content, other products are not included. Note: Light shooting and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.