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RK3568
+BOM-
ManufacturerRockchip
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Mfr. Part #RK3568
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Datasheet RK3568 DataSheet
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In Stock27756
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Specifications
| Attribute | Value |
| Manufacturer | Rockchip |
| Package | BGA-636(19x19) |
Overview
Description
- CPU: 4x Cortex-A55 (up to 2.0 GHz)
- GPU: Mali-G52 2EE, supporting OpenGL ES 3.2/Vulkan 1.1
- NPU: 0.8 TOPS AI accelerator for lightweight ML tasks
- Memory: Supports LPDDR4/LPDDR4X (up to 8GB)
- Storage: eMMC 5.1, SDIO 3.0, and SATA 3.0
- Connectivity: Dual Gigabit Ethernet, USB 3.0/2.0, PCIe 2.0, and optional 4G/5G/Wi-Fi 6
- OS Support: Linux, Android, and Debian
Ideal for NAS, industrial PCs, smart displays, and embedded AI devices, the RK3568 balances performance, power efficiency, and cost. Its NPU and rich I/O make it suitable for edge AI applications.
Equivalent
- Amlogic S905X4: Similar CPU (4x Cortex-A55), GPU (Mali-G31), and multimedia capabilities.
- MediaTek MT8169A: Comparable CPU (4x Cortex-A55) and GPU (PowerVR GE8300), often used in tablets.
- NXP i.MX 8M Plus: Similar CPU (4x Cortex-A53/A55), but with industrial/embedded focus.
These chips offer similar performance for IoT, set-top boxes, and embedded systems.
Features
- CPU: Quad-core Arm Cortex-A55 (up to 2.0 GHz)
- GPU: Arm Mali-G52 2EE, supporting OpenGL ES 1.1/2.0/3.2, Vulkan 1.1
- NPU: 0.8 TOPS AI accelerator (supports INT8/INT16)
- Memory: LPDDR4/LPDDR4X, up to 8GB
- Storage: eMMC 5.1, SD 3.0, SATA 3.0, SPI NAND/NOR
- Display: Dual 4K@60fps (HDMI 2.0, MIPI-DSI, eDP)
- Video: 4K H.265/H.264/VP9 decoding, 1080p H.264/H.265 encoding
- Connectivity: Gigabit Ethernet, PCIe 2.0, USB 3.0/2.0, multiple I2C/SPI/UART
- OS Support: Linux, Android, Debian
Ideal for AIoT, NAS, industrial PCs, and edge computing.
Pinout
Pin Count:
- 356-pin (TFBGA package).
Key Functions:
1. CPU: Quad-core Cortex-A55 (up to 2.0GHz).
2. GPU: Mali-G52 2EE, supports OpenGL ES 3.2/Vulkan 1.1.
3. Memory: Supports LPDDR4/LPDDR4X/DDR4 (up to 8GB).
4. Storage: eMMC 5.1, SPI, NAND, SDIO 3.0.
5. Display: Dual MIPI-DSI/LVDS/HDMI 2.0 (4K@60fps).
6. Camera: Dual MIPI-CSI (4K@30fps).
7. Connectivity: PCIe 2.1, USB 3.0/2.0, Gigabit Ethernet.
8. AI: 0.8 TOPS NPU (supports TensorFlow/MXNet).
Used in SBCs, NAS, AIoT, and industrial applications.
Manufacturer
Application
1. Industrial Control – PLCs, HMIs, and automation systems.
2. Edge Computing – AI inference, IoT gateways, and smart devices.
3. Embedded Systems – NAS, routers, and POS terminals.
4. Multimedia – 4K video playback, digital signage, and set-top boxes.
5. AI Applications – Face recognition, object detection, and robotics.
6. Automotive – Infotainment and ADAS solutions.
Its balanced performance, AI acceleration (1 TOPS NPU), and rich interfaces (PCIe, SATA, USB 3.0) make it ideal for cost-efficient embedded solutions.