Google Coral Dev Board Mini Price Worldwide

By: Google

Model: Coral Dev Board Mini


Availability: Out of stock New

Availability: Out of stock

  • CPU: MediaTek 8167s SoC (Quad-core Arm Cortex-A35)
  • GPU: IMG PowerVR GE8300 (integrated in SoC)
  • ML accelerator: Google Edge TPU coprocessor
  • RAM: 2 GB DDR3L
  • Flash memory: 8 GB eMMC
  • 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)
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Performs high-speed ML inferencing

The on-board 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.

In the Box

  • Google Coral Dev Board Mini