Overview
Coral Dev Board Mini is a Google Coral Edge TPU device sold by Seeed Studio, rated by Seeed at 4 TOPS (int8). Its GPU is IMG PowerVR GE8300 (integrated in SoC). Seeed publishes a fixed price for this configuration.
Key Features
- Coral Dev Board Mini rated at 4 TOPS (int8)
- CPU: MediaTek 8167s SoC (Quad-core Arm Cortex-A35)
- GPU: IMG PowerVR GE8300 (integrated in SoC)
- ML accelerator: Google Edge TPU coprocessor:4 TOPS (int8); 2 TOPS per watt
- RAM: 2 GB LPDDR3
- Flash memory: 8 GB eMMC
Ideal For
developers running quantised TensorFlow Lite models at the edge on an Edge TPU rather than a GPU
CPU
MediaTek 8167s SoC (Quad-core Arm Cortex-A35)
GPU
IMG PowerVR GE8300 (integrated in SoC)
ML accelerator
Google Edge TPU coprocessor:4 TOPS (int8); 2 TOPS per watt
RAM
2 GB LPDDR3
Flash memory
8 GB eMMC
Expandable memory
Micro-SD card slot
Wireless
Wi-Fi 5 (802.11a/b/g/n/ac); Bluetooth 5.0
Audio/video
3.5mm audio jack; digital PDM microphone; 2.54mm 2-pin speaker terminal; micro HDMI (1.4); 24-pin FFC connector for MIPI-CSI2 camera (4-lane); 39-pin FFC connector for MIPI-DSI display (4-lane)
Input/output
40-pin GPIO header; 2x USB Type-C (USB 2.0)
Box Dimensions
383x220x166mm
Box Weight
3.49kg
Performs high-speed ML inferencing
The onboard Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 FPS, in a power-efficient manner. See more performance benchmarks.
Provides a complete system
A single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board.
Supports TensorFlow Lite
No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
Supports AutoML Vision Edge
Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
Prices may vary. Verify on vendor site.
Quick Specs
- CPU
- MediaTek 8167s SoC (Quad-core Arm Cortex-A35)
- GPU
- IMG PowerVR GE8300 (integrated in SoC)
- ML accelerator
- Google Edge TPU coprocessor:4 TOPS (int8); 2 TOPS per watt
- RAM
- 2 GB LPDDR3
- Flash memory
- 8 GB eMMC
- Expandable memory
- Micro-SD card slot