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Core-3399Pro-JD4 Overview Specifications Wiki Technical Case Download
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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 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.

  • Cluster Server

  • High Performance Computing/Storage

  • Computer Vision

  • Edge Computing

  • Commercial Display

  • Medical Equipment

  • Vending Machine

  • Industrial Computer

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 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