RK3562J vs RK3576J SMARC Modules: Choosing the Right Edge Platform
Categories

RK3562J vs RK3576J SMARC Modules: Choosing the Right Edge Computing Platform

Choosing the right module depends on the computing performance, AI requirements, and multimedia capabilities needed for your application
Edge Computing Platform
Case Details

In modern embedded and industrial systems, Computer-on-Module (COM) solutions based on the SMARC 2.2 standard provide an efficient way to accelerate product development while maintaining flexibility and scalability.

Two popular options for industrial edge computing are RK3562J SMARC and RK3576J SMARC modules. While both follow the same SMARC 2.2 form factor and industrial design principles, they target different performance levels and application scenarios.

This article compares the two modules to help engineers and system integrators select the most suitable platform for their projects.


SMARC 2.2 Standard: Modular Embedded Design

Both modules are built according to the SMARC 2.2 specification, using the MXM3 314-pin connector and compact 82 × 50 mm form factor.

This modular design provides several advantages:

  • Faster product development

  • Easier hardware upgrades

  • Lower development risk

  • Long lifecycle support

Developers can design a custom carrier board once and upgrade the performance simply by replacing the SMARC module.


Processor Architecture Comparison

The biggest difference between the two modules lies in the processor architecture and computing performance.

RK3562J SMARC

The RK3562J module integrates:

  • Quad-core ARM Cortex-A53 @ 2.0 GHz

  • Mali-G52 GPU

  • 0.8 TOPS NPU

This architecture focuses on low power consumption and cost efficiency, making it ideal for embedded control and basic edge computing applications.


RK3576J SMARC

The RK3576J module delivers significantly higher performance with:

  • 4× Cortex-A76 + 4× Cortex-A55 big.LITTLE architecture

  • Mali-G52 MC3 GPU

  • 6 TOPS AI NPU

This makes the module suitable for AI inference, machine vision, and high-performance edge computing.


AI Computing Capabilit

Edge AI performance is another key differentiator.

Module AI Performance
RK3562J 0.8 TOPS
RK3576J 6 TOPS

The RK3576J provides over 7× higher AI computing capability, enabling advanced workloads such as:

  • real-time video analytics

  • object detection

  • AI quality inspection

  • smart transportation systems

Meanwhile, RK3562J is more suitable for lightweight AI tasks such as sensor data processing or simple inference models.


Multimedia and Display Capabilities

The multimedia capabilities also differ significantly.

RK3562J

The module mainly focuses on embedded display applications, supporting LVDS display interfaces and basic multimedia features.

RK3576J

RK3576J offers a much stronger multimedia subsystem, including:

  • HDMI 2.1 output

  • eDP display interface

  • MIPI-DSI display support

  • 8K@30 video decoding

  • 4K@60 video encoding

These capabilities make it ideal for applications such as:

  • AI video analytics

  • smart surveillance

  • digital signage

  • industrial vision systems. 


Memory and Storage

Feature RK3562J RK3576J
RAM LPDDR4 / LPDDR4X LPDDR5 / LPDDR5X
Capacity 2GB / 4GB 2GB–16GB
Storage eMMC 5.1 eMMC 5.1

The RK3576J supports next-generation LPDDR5 memory and larger capacities, which significantly improves performance for AI workloads and high-bandwidth applications.


Connectivity and Expansion

Both modules provide rich industrial interfaces through the SMARC connector.

RK3562J Interfaces

  • Gigabit Ethernet

  • USB 2.0

  • UART

  • I2C

  • SPI

  • MIPI-CSI camera interface

    RK3576J Interfaces

  • Dual Gigabit Ethernet

  • USB 3.0 + USB 2.0

  • Multiple UART / I2C / SPI

  • Dual MIPI-CSI cameras

  • HDMI / eDP / MIPI-DSI display

    The RK3576J platform therefore provides higher bandwidth and more flexible expansion options.


Industrial Design

Both modules are designed for industrial applications, offering:

  • Operating temperature: -40°C to +85°C

  • Standard SMARC 2.2 size (82 × 50 mm)

  • 5V power input

  • industrial reliability

This makes them suitable for harsh environments such as factories, outdoor equipment, and transportation systems.


Typical Applications

RK3562J SMARC

Best suited for:

  • Industrial controllers

  • HMI panels

  • IoT gateways

  • Data acquisition systems

  • embedded display terminals


RK3576J SMARC

Ideal for:

  • AI edge computing

  • Machine vision

  • Smart transportation

  • robotics controllers

  • intelligent video analytics


Conclusion

Although both modules share the SMARC 2.2 standard form factor, they target different levels of performance.

  • RK3562J SMARC focuses on cost-efficient industrial control and basic edge computing.

  • RK3576J SMARC is designed for high-performance AI and advanced multimedia processing.

Choosing the right module depends on the computing performance, AI requirements, and multimedia capabilities needed for your application.

Want Solution?

Request a similar solution today?
Try it Now

Propular Products

VIEW ALL PRODUCTS
We use Cookie to improve your online experience. By continuing browsing this website, we assume you agree our use of Cookie.