Coral System-on-Module (SoM) - 102110400 Coral System-on-Module (SoM) - 102110400 Coral System-on-Module (SoM) - 102110400 Coral System-on-Module (SoM) - 102110400 Coral System-on-Module (SoM) - 102110400
Coral System-on-Module (SoM) - 102110400

Coral System-on-Module (SoM)

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The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML) inferencing. 

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Key Features

  • Provides a complete system: The Coral SoM is a fully-integrated Linux system that includes NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, and the Edge TPU coprocessor for ML acceleration. It runs a derivative of Debian Linux we call Mendel.
  • 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 400 FPS, in a power efficient manner.
  • Integrates with your custom hardware: The SoM connects to your own baseboard hardware with three 100-pin connectors.
  • 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. Also available with a baseboard as part of the Coral Dev Board.

Description

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 almost 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 @2 W)
  • 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.

Specification

  • 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 2.4/5 GHz)
  • 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)
FeatureDetails
Main system-on-chip (i.MX8M)
Arm Cortex-A53 MPCore platform Quad symmetric Cortex-A53 processors:
  • 32 KB L1 Instruction Cache
  • 32 KB L1 Data Cache
  • Support L1 cache RAMs protection with parity/ECC
Support of 64-bit Armv8-A architecture:
  • 1 MB unified L2 cache
  • Support L2 cache RAMs protection with ECC
  • Frequency of 1.5 GHz
Arm Cortex-M4 core platform
  • 16 KB L1 Instruction Cache
  • 16 KB L1 Data Cache
  • 256 KB tightly coupled memory (TCM)
Graphic Processing Unit (GPU)
  • Vivante GC7000Lite
  • 4 shaders
  • 267 million triangles/sec
  • 1.6 Gigapixel/sec
  • 32 GFLOPs 32-bit or 64 GFLOPs 16-bit
  • Supports OpenGL ES 1.1, 2.0, 3.0, 3.1, Open CL 1.2, and Vulkan
Video Processing Unit (VPU)
  • 4Kp60 HEVC/H.265 main, and main 10 decoder
  • 4Kp60 VP9 and 4Kp30 AVC/H.264 decoder (requires full system resources)
  • 1080p60 MPEG-2, MPEG-4p2, VC-1, VP8, RV9, AVS, MJPEG, H.263 decoder
I/O connectivity
  • 2x USB 3.0/2.0 controllers with integrated PHY interfaces
  • 1x Ultra Secure Digital Host Controller (uSDHC) interfaces
  • 1x Gigabit Ethernet controller with support for EEE, Ethernet AVB, and IEEE 1588
  • 2x UART modules
  • 2x I2C modules
  • 2x SPI modules
  • 16x GPIO lines with interrupt capability
  • 4x PWM lines
  • Input/output multiplexing controller (IOMUXC) to provide centralized pad control
Note: The list above is the number of signals available to the baseboard (after considering SoC signals used by the SoM).
On-chip memory
  • Boot ROM (128 KB)
  • On-chip RAM (128 KB + 32 KB)
External memory
  • 32/16-bit DRAM interface: LPDDR4-3200, DDR4-2400, DDR3L-1600
  • 8-bit NAND-Flash
  • eMMC 5.0 Flash
  • SPI NOR Flash
  • QuadSPI Flash with support for XIP
Display HDMI Display Interface:
  • HDMI 2.0a supporting one display up to 1080p
  • Upscale and downscale between 4K and HD video (requires full system resources)
  • 20+ Audio interfaces 32-bit @ 384 kHz fs, with Time Division Multiplexing (TDM) support
  • SPDIF input and output
  • Audio Return Channel (ARC) on HDMI
MIPI-DSI Display Interface:
  • MIPI-DSI 4 channels supporting one display, resolution up to 1920 x 1080 at 60 Hz
  • LCDIF display controller
  • Output can be LCDIF output or DC display controller output
Audio
  • 1x SPDIF input and output
  • 2x synchronous audio interface (SAI) modules supporting I2S, AC97, TDM, and codec/DSP interfaces
  • 1x SAI for 8 Tx channels for HDMI output audio
  • 1x SPDIF input for HDMI ARC input
Camera
  • 2x MIPI-CSI2 camera inputs (4-lane each)
Security
  • Resource Domain Controller (RDC) supports four domains and up to eight regions
  • Arm TrustZone (TZ) architecture
  • On-chip RAM (OCRAM) secure region protection using OCRAM controller
  • High Assurance Boot (HAB)
  • Cryptographic acceleration and assurance (CAAM) module
  • Secure non-volatile storage (SNVS): Secure real-time clock (RTC)
  • Secure JTAG controller (SJC)
ML accelerator
Edge TPU coprocessor
  • ASIC designed by Google that provides high performance ML inferencing for TensorFlow Lite models
  • Uses PCIe and I2C/GPIO to interface with the iMX8M SoC
  • 4 trillion operations per second (TOPS)
  • 2 TOPS per watt
Memory and storage
Random access memory (SDRAM)
  • 1 GB LPDDR4 SDRAM (4-channel, 32-bit bus width)
  • 1600 MHz maximum DDR clock
  • Interfaces directly to the iMX8M build-in DDR controller
Flash memory (eMMC)
  • 8 GB NAND eMMC flash memory
  • 8-bits MMC mode
  • Conforms to JEDEC version 5.0 and 5.1
Expandable flash (MicroSD)
  • Meets SD/SDIO 3.0 standard
  • Runs at 4-bits SDIO mode
  • Supports system boot from SD card
Network & wireless
Ethernet
  • 10/100/1000 Mbps Ethernet/IEEE 802.3 networks
  • Reduced gigabit media-independent interface (RGMII)
Wi-Fi Murata LBEE5U91CQ module:
  • Wi-Fi 2x2 MIMO (802.11a/b/g/n/ac 2.4/5 GHz)
  • Supports PCIe host interface for W-LAN
Bluetooth Murata LBEE5U91CQ module:
  • Bluetooth 4.2 (supports Bluetooth low-energy)
  • Supports UART interface
Security
Cryptographic coprocessor Microchip ATECC608A cryptographic coprocessor:
  • Asymmetric (public/private) key cryptographic signature solution based on Elliptic Curve Cryptography and ECDSA signature protocols
Hardware interface
Baseboard connectors 3x 100-pin connectors (Hirose DF40C-100DP-0.4V)
Antenna connectors 2x coaxial cable connectors (Murata MM8930-2600)

Block Diagrams

Block Diaframs of SOM

Block diagram of the SoM components

Block Diagrams of SOC

Block diagram of the i.MX8M SoC components, provided by NXP 

Dimensions

dimension

Part List

1x Coral System-on-Module(SOM)

ECCN/HTS

HSCODE 8543709990
UPC

Datasheet

coral AI user manual

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