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RK3399K
+BOM-
メーカーRockchip
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メーカー品番 #RK3399K
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在庫状況23170
365 日間品質保証
7*24 日間の品質保証
90-時間単位のサービス保証
1日間のアフターサービス保証
仕様
| 属性 | 値 |
| Manufacturer | Rockchip |
| Package | FCBGA-828(21x21) |
概要
Description
Key highlights:
- AI acceleration: Supports NPU (Neural Processing Unit) for machine learning tasks.
- Connectivity: Dual USB 3.0, PCIe, HDMI 2.0, and Gigabit Ethernet.
- Memory: Supports LPDDR4/LPDDR3 and eMMC 5.1 storage.
- OS support: Linux, Android, and other embedded systems.
Commonly used in AIoT devices, robotics, and industrial PCs, the RK3399K balances power efficiency and performance for edge applications.
Equivalent
- Rockchip RK3399 (non-K variant, similar specs)
- Amlogic S922X (comparable performance, used in Odroid-N2)
- NXP i.MX 8M Quad (alternative for embedded applications)
- MediaTek Helio X20/X25 (older, but similar ARM big.LITTLE design)
- Qualcomm Snapdragon 820 (similar CPU/GPU performance).
These chips offer comparable processing power, GPU capabilities, or target similar markets (set-top boxes, SBCs, tablets).
Features
- CPU: Dual-core Cortex-A72 (up to 1.8GHz) + quad-core Cortex-A53 (up to 1.4GHz) in big.LITTLE configuration.
- GPU: Mali-T860MP4 (supports OpenGL ES 1.1/2.0/3.0/3.1, Vulkan 1.0, OpenCL 1.2).
- Memory: Supports LPDDR3/LPDDR4 (up to 4GB).
- Display: Dual-channel 4K@60fps output (HDMI 2.0, DisplayPort 1.2, eDP 1.3).
- Video: 4K H.265/H.264/VP9 decoding, 1080p encoding.
- Connectivity: PCIe 2.1, USB 3.0, USB 2.0, Gigabit Ethernet.
- AI Acceleration: Supports basic NPU functions (limited compared to newer AI chips).
- Process: 28nm HKMG.
Ideal for TV boxes, AIO PCs, and embedded applications.
Pinout
Pin Count:
- 314-pin (TFBGA package).
Key Functions:
1. CPU/GPU Processing – High-performance computing and graphics.
2. Memory Interface – Supports LPDDR3/LPDDR4 (up to 4GB).
3. Display Outputs – Dual-channel MIPI-DSI, eDP 1.3, HDMI 2.0a.
4. Camera Input – Dual MIPI-CSI for camera modules.
5. Connectivity – USB 3.0/2.0, PCIe, Gigabit Ethernet, SDIO.
6. AI Acceleration – Supports NPU for basic AI tasks.
Used in single-board computers (SBCs), tablets, and embedded systems.
Manufacturer
Application
1. Single-board computers (e.g., Rock Pi 4, NanoPC-T4).
2. AI edge computing (NPU for lightweight ML tasks).
3. Industrial automation (robotics, control systems).
4. Digital signage & kiosks (4K video playback).
5. Gaming & entertainment (ARM-based consoles, media centers).
6. IoT gateways (data processing hubs).
7. Embedded vision (drones, surveillance cameras).
Its dual-core Cortex-A72 + quad-core A53 CPU and Mali-T864 GPU make it ideal for multitasking and multimedia applications.