RK3568 與 RK3588：嵌入式及 Edge AI 專案應選哪款 Rockchip SoC？
RK3568 vs RK3588: Which Rockchip SoC to Pick for Your Embedded & Edge AI Project
Rockchip RK3568 與 RK3588 面向不同負載，選擇應按 AI 工作負載、功耗預算、目標解像度及 BOM 成本決定。
When designing embedded systems, edge vision gateways, NVRs, or industrial HMI devices, Rockchip RK3568 and RK3588 are two of the most popular choices. They share the same ecosystem but target totally different workloads, so picking the wrong chip can lead to overspending or performance bottlenecks.
Core Spec Comparison
| Spec | RK3568 | RK3588 |
|---|---|---|
| CPU | Quad Cortex‑A55 @ 2.0GHz | 4×Cortex‑A76 + 4×Cortex‑A55 @ 2.4GHz |
| NPU | ~1 TOPS | ~6 TOPS |
| Video Decode | 4K@60fps | 8K@60fps |
| Process | 22nm | 8nm |
| Typical TDP | 3~8W | 5~13W |
RK3568: Best for low-cost, stable industrial applications
RK3568 focuses on power efficiency and cost control. It works great for IoT gateways, simple HMI panels, low-resolution video recorders, and lightweight embedded terminals. If your project does not run heavy AI inference, RK3568 is a balanced and budget-friendly option with mature driver support.
RK3588: High-performance edge AI powerhouse
RK3588 is Rockchip’s flagship edge SoC. The stronger NPU, 8K video engine, and PCIe 3.0 bandwidth make it ideal for multi-camera vision AI, local object detection, high-resolution media processing, and GPU-heavy embedded visualization. It’s the go-to chip when you need local AI capability on the edge.
How to choose
- Choose RK3568: Cost-sensitive, long-run industrial devices, no heavy AI, simple video stream processing.
- Choose RK3588: Edge vision AI, multi-channel high-res video, complex local inference, high-performance embedded computing.
If you want a full detailed comparison including carrier board designs, thermal tests, and industrial-grade SKU options, you can read this guide:
https://ieeker.com/rk3568-vs-rk3588-industrial-development-board/
Wrap up
There is no absolute winner between RK3568 and RK3588. The decision should be driven by your AI workload, power budget, target resolution, and BOM cost. Many embedded teams keep both platforms in their product roadmap for different tiered products.
來源：DEV Community · dev.to