Adopts the high-performance AI processor RK3399Pro, integrated neural network processor NPU with computing power up to 3.0Tops, and compatible with a variety of AI frameworks. Core-3399Pro-JD4 core board can be combined with the backplane to form a complete industrial application board, which enable it to be applied flexibly on a variety of smart products.
High-performance AI Processor RK3399Pro
Adopts big.LITTLE core processor architecture of ARM dual-core Cortex-A72 and quad-core Cortex-A53 at a high frequency as 1.8GHz, integrated Mali-T860 MP4 quad-core graphics processor with powerful general-purpose computing performance.
AI Neural Network Processor NPU
Integrates AI neural network processor NPU, supports 8Bit/16Bit operation with computing power up to 3.0Tops to meet various visual and audio AI applications.
Powerful Hardware Decoding Capability
Supports multiple display output interfaces of DP1.2, HDMI 2.0, MIPI-DSI, eDP, dual-screen identical display/dual-screen differential display, supports 4K VP9, 4K 10bits H265/H264 and 1080P multi-format (VC-1, MPEG- 1/2/4, VP8) video decoding, 1080P (H.264, VP8 format) video coding
Support Multiple AI Framework
Compatible with multiple AI frameworks, supports TensorFlow Lite/Android NN API, AI software tools support import, mapping, and optimization of Caffe / TensorFlow models, allowing developers to use AI technology easily.
Rich Extension Interfaces
Rich in interfaces such as I2C, SPI, UART, ADC, PWM, GPIO, PCIe, USB3.0, I2S (supporting 8 digital microphone array inputs).
Form Industrial Main Board
Core-3399Pro-JD4 core board can be combined with the backplane to form a complete high-performance industrial application board, whose expansion interface is more abundant and performance is more powerful. Moreover, it can be directly applied to various intelligent products to accelerate the product landing.
Application
Widely used in AI applications such as cluster server, high-performance computing/storage, computer vision, edge computing, commercial display equipment, medical equipment, vending machines, industrial computers, etc.
Specification
| Specification |
| SoC |
Rockchip RK3399Pro |
| CPU |
Dual-core Cortex-A72+ Quad-core Cortex-A53 big.LITTLE core CPU architecture, frequency up to 1.8GHz
|
| GPU |
ARM® Mali-T860 MP4 Quad-core GPU
Support OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1, OpenCL, DX11
Support AFBC（frame buffer compression）
|
| NPU |
Support 8bit/16bit operation
Support TensorFlow, Caffe model
|
| VPU |
Support 4K VP9 and 4K 10bits H265/H264 video decoding, up to 60fps
1080P multi-format video decoding (WMV, MPEG-1/2/4, VP8)
1080P video coding, support H.264，VP8 format
Video post processor, de-interlacing, de-noising, edge/detail/color optimization
|
| RAM |
LPDDR3（3GB / 6GB） |
| Storage |
High-speed eMMC 5.1 （8GB/16GB/32GB/64GB/128GB）
|
| Hardware Features |
| Ethernet |
10 / 100 / 1000 MbpsEthernet interface（RJ45）
|
| Display |
1 x HDMI 2.0, support 4K@60HZ output and HDCP 1.4/2.2
1 x MIPI-DSI, support single channel 2560x1600@60Hz output
1 x eDP 1.3 ( 4 lanes with 10.8Gbps )
1 x DP 1.2 (DisplayPort), support 4K@60HZ output
Support dual-screen identical display/dual-screen differential display
|
| Audio |
1 x HDMI 2.0 for audio output
1 x SPDIF for audio output
2 x I2S for audio output and input
|
| Camera |
2x MIPI-CSI camera interface ( built-in dual-ISP, Maximum support single13Mpixel ordual 8Mpixel )
|
| USB |
2 x USB2.0 Host，1 x USB3.0 Type-C |
| Interface |
I2C, SPI, UART, ADC, PWM, GPIO, PCIe, USB3.0,I2S（Support 8-way digital microphone array input） |
| Power |
DC input voltage 5V |
| OS/Software |
| OS |
Android 、Linux |
| Appearance |
| Size |
69.6mm × 85 mm |
| Type |
Gold finger（SODIMM 260P, 0.5mmpitch） |
| PCB |
10-layer board design |
