The Rockchip RK-3399 is a cutting-edge System-on-Chip (SoC) designed to provide robust performance for a wide range of applications. As the demand for high-performance embedded systems continues to rise, the RK-3399 has emerged as one of the leading solutions, offering a perfect blend of processing power, graphics performance, and versatility. Whether used in industrial, multimedia, or AI applications, the Rockchip RK-3399 promises to deliver outstanding results, thanks to its powerful architecture and diverse feature set.

In this article, we will take a deep dive into the Rockchip RK-3399, exploring its key features, performance capabilities, and potential applications. We will also examine how it compares to other chips in the market and why it is a go-to choice for developers and businesses looking for reliable, high-performance embedded solutions.


What is the Rockchip RK-3399?

The Rockchip RK-3399 is a powerful ARM-based SoC that integrates multiple high-performance cores and is designed to handle demanding tasks, from multimedia processing to machine learning. Featuring a big.LITTLE architecture, the RK-3399 combines two ARM Cortex-A72 high-performance cores and four Cortex-A53 energy-efficient cores, offering a perfect balance of power and efficiency.

This chip is designed to work seamlessly with a variety of operating systems, including Android, Linux, and even Windows, which makes it an excellent choice for developers looking to create embedded systems with different platform requirements.


Key Features of Rockchip RK-3399

1. Processor and Performance

At the core of the Rockchip RK-3399 is the six-core CPU, comprising two powerful ARM Cortex-A72 cores and four energy-efficient Cortex-A53 cores. This configuration ensures that the chip can handle both performance-intensive and low-power tasks effectively. With a maximum clock speed of 2.0 GHz, the Cortex-A72 cores provide substantial processing power for tasks such as video decoding, gaming, and AI inference.

The big.LITTLE architecture allows the RK-3399 to dynamically switch between the high-performance cores and the energy-efficient cores, ensuring that the system consumes less power when performing light tasks, and providing the necessary power when needed for more intensive applications.

2. Graphics Performance

The Rockchip RK-3399 comes equipped with the Mali-T860 MP4 GPU, which offers impressive graphics capabilities. This GPU supports high-definition video decoding and rendering, making it suitable for multimedia applications, such as video playback, gaming, and user interfaces. The RK-3399 is capable of 4K video output at 60 Hz, which ensures crisp and clear visual output for a wide range of displays.

The Mali-T860 GPU also supports OpenGL ES 3.2, Vulkan 1.0, and OpenCL 2.0, allowing developers to take full advantage of modern graphical APIs for creating advanced visual and computational tasks.

3. Memory and Storage Support

The Rockchip RK-3399 supports up to 4GB of LPDDR3 or LPDDR4 memory, which ensures smooth multitasking and efficient handling of large datasets. The chip also supports eMMC storage, UFS 2.1, and microSD cards, allowing developers to choose the storage option that best fits their requirements.

Whether building an industrial embedded system or a multimedia device, the RK-3399’s memory and storage capabilities ensure that it can handle demanding workloads with ease.

4. Connectivity Options

The RK-3399 comes with a broad range of connectivity options, which make it suitable for various use cases, including networking, industrial applications, and multimedia devices. Some of the notable connectivity features include:

These features enable the Rockchip RK-3399 to be used in a variety of applications, from IoT devices to home entertainment systems.


Applications of Rockchip RK-3399

1. Industrial Automation and Edge Computing

One of the most significant applications of the Rockchip RK-3399 is in industrial automation and edge computing. The chip’s powerful performance and energy efficiency make it ideal for tasks such as real-time monitoring, sensor data collection, and machine learning inference at the edge.

In industrial environments, the RK-3399 can be used to run local control systems, monitor machinery, and analyze sensor data without needing to send everything to the cloud. This can reduce latency and improve the efficiency of industrial processes.

Table 1: Industrial Automation Use Case for Rockchip RK-3399

Feature Application Description
Processor ARM Cortex-A72 + Cortex-A53 cores for powerful processing
Connectivity Gigabit Ethernet, USB, Wi-Fi, Bluetooth for device integration
Performance Handles sensor data analysis, machine learning, and real-time decision-making
Use Case Industrial control systems, edge computing applications

2. Multimedia Devices

The Rockchip RK-3399 shines in multimedia applications, thanks to its powerful GPU and 4K video output support. It can be used to build home entertainment systems, media players, and digital signage solutions. The chip’s ability to decode and display 4K video at 60Hz ensures high-quality viewing experiences for users.

For example, the RK-3399 can be used in set-top boxes, digital signage platforms, and even gaming consoles to provide immersive multimedia experiences.

Table 2: Multimedia Use Case for Rockchip RK-3399

Feature Application Description
Graphics Performance Mali-T860 GPU for 4K video output and high-definition graphics
Connectivity HDMI 2.0, USB, and Wi-Fi for connectivity and peripheral support
Media Support 4K video decoding, H.265, VP9, and AV1 support
Use Case Home entertainment systems, digital signage, and media players

3. AI and Machine Learning

With its powerful CPU and GPU combination, the Rockchip RK-3399 is an excellent choice for AI and machine learning applications. The chip can handle real-time AI inference tasks, such as image recognition, object detection, and natural language processing. In edge AI applications, the RK-3399 can process data locally, enabling faster decision-making and reducing the reliance on cloud services.

For example, the RK-3399 can be used in security systems for facial recognition or in autonomous vehicles for object detection.

Table 3: AI Application for Rockchip RK-3399

Feature Application Description
Processor ARM Cortex-A72 for high-performance AI computation
GPU Mali-T860 for efficient graphics and AI processing
AI Support Support for deep learning models and neural networks
Use Case AI edge computing, autonomous systems, and facial recognition

Comparison with Other SoCs

When compared to other popular embedded SoCs, the Rockchip RK-3399 offers several advantages, particularly in terms of processing power and graphics capabilities. For instance, it outperforms many other ARM-based chips, such as the Raspberry Pi 4, in both CPU and GPU performance. While the Raspberry Pi 4 is suitable for basic tasks and hobbyist projects, the RK-3399 is built for more demanding applications, making it a better choice for industrial systems, AI, and multimedia use cases.

The RK-3399’s flexibility in software support and its wide range of connectivity options also give it a distinct edge over other embedded platforms.


The Rockchip RK-3399 is an excellent choice for developers and businesses seeking a high-performance, versatile SoC for a wide range of applications. Whether used in industrial automation, multimedia devices, or AI systems, the RK-3399 provides the power, efficiency, and connectivity needed to meet modern computing demands.

With its robust architecture, impressive graphics performance, and extensive connectivity options, the RK-3399 is poised to become a key player in the embedded systems market, powering the next generation of connected devices and smart solutions.

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