Datasheet

Features

NXP i.MX 8M SoC

Quad-core ARM Cortex-A53, plus Cortex-M4F

2D/3D Vivante GC7000 Lite GPU and VPU

Google Edge TPU ML accelerator

Cryptographic coprocessor

Wi-Fi 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz)

Bluetooth 4.2

8GB eMMC

1GB LPDDR4

USB 3.0

Gigabit Ethernet

HDMI and MIPI-DSI

MIPI-CSI-2

Up to 95x GPIO (including SPI, I2C, PWM, UART, SAI, and SDIO)

Overview

The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand

fast machine learning (ML) inferencing. It contains NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM,

Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor.

The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with a low power cost.

For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient

manner. This on-device processing reduces latency, increases data privacy, and removes the need for a high-bandwidth

connection used to perform ML inferencing in the cloud.

Key benefits of the SoM:

High-speed and low-power ML inferencing (4 TOPS @2W)

A complete Linux system (running Mendel, a Debian derivative)

Small footprint (40 x 48 mm)

The SoM is also included in the Coral Dev Board, which is a single-board computer that enables fast prototyping and

evaluation of the standalone SoM.

Version 1.2 (August 2019)