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AI Edge Computing Box Based on Rockchip RK3588 + Cambricon | 38TOPS INT8 Computing Power for Intelligent Security, Smart Construction Sites, Smart City Management, and Smart Gas Stations

#人工智能#边缘计算

Edge Computing Box

Rockchip RK3588 + Cambricon | 38TOPS INT8 Computing Power

● Features a Big-Little CPU architecture with quad-core A76 and quad-core A55, CPU frequency up to 2.4GHz, equipped with 1MB L2 Cache and 3MB L3 Cache for enhanced CPU performance.

● High-performance quad-core Mali-G610 GPU, supports at least dual 4K UI displays, capable of smoothly running complex graphics processing tasks.

● Expandable with 4G/Wi-Fi 6/BT wireless communication modules, facilitating edge computing deployment.

● Supports mSATA SSD expansion for large-scale data storage needs.

● Supports 1–2 AI acceleration modules, with up to 32TOPS@INT8 expandable AI computing power, achieving a maximum combined computing power of 38TOPS@INT8, delivering exceptional AI performance.

● Compatible with mainstream deep learning frameworks including TensorFlow, Caffe, PyTorch, TFLite, and ONNX; supports network models such as face detection, tracking, recognition, posture estimation, and hard hat detection.

The XM-RK3588 edge computing box is a high-performance, low-power edge computing device developed by Xinmai Technology based on the RK3588. It integrates an NPU with up to 6.0TOPS@INT8 computing power and offers powerful video encoding and decoding capabilities. It supports up to 32 channels of 1080P@30fps video decoding and 16 channels of 1080P@30fps encoding. It also supports HDMI output of 4K@120fps or 8K@30fps. With a lightweight and flexible design, it is widely applicable in smart transportation, smart parks, smart gas stations, transparent kitchens, and other scenarios, delivering optimized performance for various AI applications.

Item

Type

Model Specifications

Description

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Processor

RK3588

CPU

Quad-core ARM Cortex-A76@2.4GHz
Quad-core ARM Cortex-A55@1.8GHz

GPU

Quad-core ARM Mali-G610 MP4

NPU

6.0TOPS@INT8 computing power

Memory

LPDDR4X

Default Configuration

4 Gbyte

Optional Configuration

8/16 Gbyte

Storage

eMMC

Default Configuration

32 Gbyte

Optional Configuration

64 Gbyte

Two AI module expansion interfaces reserved

(Per Module Specification)

NPU

16TOPS@INT8

Video Decoding

16 x 1080P@30fps H.264/H.265 video decoding

Video Encoding

8 x 1080P@30fps H.264/H.265 video encoding

Image Codec

1080P@800fps JPEG format

GMAC

2x

Supports 10/100/1000Mbps operation modes, supports RGMII mode

RS232

2x

Two 3-pin Phoenix terminals

RS485

2x

Two 3-pin Phoenix terminals

MINI-PCIe

1x

For expansion of mSATA SSD storage devices and 4G wireless communication modules

USB

4x

Two standard USB3.0 ports and two standard USB2.0 ports

DEBUG

1x

System debug serial port

WiFi+BT

1x

(Optional) Wi-Fi 6 + BT: 1x dual-band 2.4GHz/5GHz Wi-Fi 6, Bluetooth 5.0; requires enclosure with external antenna support and Wi-Fi antenna

TF

1x

External TF card slot; Class 10 or higher recommended

LED

3x

Power indicator, HDD indicator, SYS system indicator

SIM Card Slot

1x

For use with 4G/5G wireless communication modules

M.2

1x

For 4G/5G module expansion only

HDMI OUT

1x

Supports 4K@120fps / 8K@30fps output, HDMI 2.1 protocol

AUDIO OUT

1x

Headphone audio output interface

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Cooling Method

Passive cooling

Dimensions

214mm x 165mm x 54mm

Electrical Parameters

Operating Voltage

Operating Current

Power Consumption

Test Ambient Temperature

Test Condition

DC 12V

2A

3.5W

Room temperature

No load

Linux

Bootloader

Version

U-boot v2017.09

Boot Mode

eMMC

Download Mode

TF/Serial port

Kernel

Version

Linux 5.10

Device Drivers

Standard drivers for USB, Ethernet, TF, RS232/RS485, etc.

File System

System Version

Debian 11

System Services

Supports SSH, telnetd, NFS, TFTP, etc.

Development Components

Media Processing

GPU, VPU (video encoding/decoding, image scaling, etc.)

Intelligent Analytics Processing

NPU (supports INT4, INT8, INT16 integer and FP16 floating-point calculations)

AI Development

Supports classification, detection, tracking, recognition, segmentation, and other algorithms

Suitable for applications in facial recognition, intelligent security, smart construction sites, smart city management, smart gas stations, communities, smart factories, transparent kitchens, and more.

| Mechanical Interface