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: 0°C to 40°C
Storage temperature: -20°C to 80°C
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.
Logistics information
Our products are located in Hong Kong, China, and the logistics speed depends on your specific location. According to our experience, it usually takes about 15-20 days of transportation time
CONTACT US
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How to choose the correct size:
Step 1 Please measure your foot length carefully.
Step 2 Please choose the correct size according to your foot length and chinese size.
For example, If your foot length is 255 mm , you should choose the size 8.
