Core-3399-JD4 Six-core High-performance AI Core Board

Adapts Rockchip high-performance six-core 64-bit processor RK3399, on-board AI neural network processor NPU SPR2801S, with high computing capacity, ultra-high performance, powerful hardware decoding ability and rich extended interfaces. It can be flexibly applied to cluster server, computer vision, commercial display equipment, etc.

Six-core 64-bit High-performance Processor

Adapts RK3399 six-core 64-bit (A72x2+A53x4) high-performance processor, frequency up to 1.8GHz, integrated quad-core ARM high-end GPU Mali-T860. Provide a variety of storage configuration options, users only need to expand the function backplane to quickly achieve project development.

AI Neural Network Processor NPU

Onboard AI neural network acceleration chip SPR2801S, adopts AI special architecture APiM, its computing capability up to 2.8 Tops, 9.3 Tops/W ultra-high efficiency. It can be used in the application domain of low energy consumption and high computing performance products.

Powerful Hardware Decoding Capability

Supports dual LVDS, EDP, HDMI, DP1.2 multiple display output interfaces, dual-screen identical display/dual-screen differential display, supports 4K VP9, 4K 10bits H265/H264, 1080P (VC-1, MPEG-1/2/4, VP8) multi-format video decoding, and 1080P (H.264, VP8) video coding.

Stable And Reliable

With SODIMM 260P interface, the data transmission and expansion performance can be best achieved, immersion gold process pin, corrosion resistant, 2 studs fixed, stable and reliable. Designed measurement is only 69.6mm x 55mm for saving more precious space.

Rich Extension Interfaces

With rich interfaces such as I2C, SPI, UART, ADC, PWM, GPIO, PCIe, USB3.0, I2S (supports 8-way digital microphone array input), and so on.

High-performance Industry Backplane

Core-3399-JD4 core board can be combined with the backplane to form a complete high-performance industry application mainboard, the expansion interfaces are richer, the performance is more powerful, the mainboard can be directly applied to a variety of intelligent products to accelerate products development.

Support For Multiple OS

Supports Android, Linux+QT, Ubuntu multiple operating system, the performance is stable and reliable


Core-3399-JD4 is suitable for cluster servers, high-performance computing/storage, computer vision, gaming equipment, commercial display equipment, medical equipment, vending machines, industrial computers, etc.

  • Industrial Computer

  • Smart Robot

  • Game Equipment

  • Commercial Display

  • Medical Equipment

  • Vending Machine

  • Intelligent POS

  • Interactive Printer



Rockchip RK3399 (28 nm HKMG manufacture procedure)


ARM® Six-core 64-bit processor, frequency up to 1.8GHz

Based on the big.LITTLEcore architecture, dual-core Cortex-A72+quad core Cortex-A53


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)


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


8GB high-speed eMMC 5.1 (8GB/16GB/32GB/128GB)


Core-3399-JD4(AI)onboard AI neural network processor SPR2801S

Computing power up to 2.8 TOPS,peak up to 5.6Tops,9.3Tops/W ultra-high efficiency

Support PyTorch, Caffe framework, follow-up support TensorFlow

Support for PLAI model training tools (currently support VGG-based GNet1, GNet18 and GNetfc network models)

Hardware Features

10 / 100 / 1000 MbpsEthernet interface(RJ45)


1 x HDMI 2.0, support 4K@60HZ output and HDCP 1.4/2.2

1 x MIPI-DSI , support single channel 2560x1600@60fps 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


1 x HDMI 2.0 audio output

1 x SPDIF, for audio output

2 x I2S for audio output and input


2x MIPI-CSI camera interface( built-in dual-ISP, Maximum support single 13Mpixel or dual 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 Android 、Linux
Size 69.6mm × 55 mm
Type Gold finger(SODIMM 260P, 0.5mmpitch)
PCB 10-layer board design