RK3399Pro Six-core High-proformance Processor

Rockchip RK3399Pro processor adopts the architecture of dual-core Cortex-A72 and quad-core Cortex-A53 with its frequency up to 1.8GHz, showing an ultra-strong general-purpose computing performance. Quad-core ARM high-end GPU Mali-T860 integrates more bandwidth compression techniques and therefore has an excellent overall performance.

Powerful Hardware Decoding Capability

It supports various display and output interfaces including HDMI 2.0, MIPI-DSI, eDP and dual LVDS. It also supports dual-screen identical display/dual-screen differential display, showing powerful hardware encoding and decoding abilities. Besides, and supports 4K VP9, 4K 10bits H265/H264, 1080P multi-format (VC-1, MPEG-1/2/4, VP8) video decoding and 1080P (H.264/VP8 format) video encoding.

Highly-efficent and Stable Hardware

It supports CAN bus data communications with highly-efficient real-time, farther transmission distance and stronger anti-electromagnetic interference ability. It configures independent external hardware watchdog and makes the device work continuously in the unmanned state which better promotes the system's stability.

ARM Mali-T860 MP4 Quad-core GPU

Support OpenGL ES 1.1/2.0 /3.0/3.1， OpenVG1.1， OpenCL， DX11

Support AFBC (frame buffer compression)

Buit-in neural network processor NPU,powerful computing performace:

-Suppprt 8bit/16bit operation,comuting performace up tp 3.0TOPS.

-Compuard with using the traditional GPU as the large chip scheme of AI computing unit,

the power consusumption of NPU is merely 1% of that of GPU.

-Load Caffee/Mxnet/TensorFlow models directly.

-Provide AI development tools:Support model fast conversion,support end-to-side API,

support TensorFLow/TF Lite/Caffe/ONNX/Darknet models

-Provide AI application development interface:Support Android NN API,provide RKNN cross-platform API,

Linux support for TensorFlow development.

Storage

High-speed eMMC 5.1 (16GB/32GB/64GB128GB).Support TF card expansion

LPDDR3 3GB (NPU 1GB + CPU 2GB)、LPDDR3 6GB (NPU 2GB + CPU 4GB)

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

- 1 x MIPI-DSI , Support single channel 1080P@60fps output or dual-channel LVDS 1920x1200@60fps output

(AIO-3399ProC defaults to dual LVDS)

- 1 x eDP 1.3 ( 4 lanes with 10.8Gbps )

Support dual-screen identical display/dual-screen differential display

Audio

1 x HDMI 2.0 Audio output

1 x I2S For audio input and output (supports 8-way digital microphone array inputs)

1 x Speaker Two-channel speaker（4Ω，10W 8Ω，5W）

1 x Headset output

1 x Mic Audio input

Camera

2x MIPI-CSI camera interfaces ( built-in dual-ISP, Maximum support single 13Mpixel or dual 8Mpixel )

3×USB2.0 Hub, 1 x USB3.0, 1xTYPE-C(OTG)

Interface

SPI×1, UART×2, Debug×1, RS485×1(CANx1 and RS485 share the same interface), RS232×1,

ADC×1, TPx1, IRx1, I2C, PWM, GPIO

Power

12V DC input voltage

Software

Provide AI development tools: Support model fast conversion, support end-to-side API, support TensorFlow / TF Lite / Caffe / ONNX / Darknet models.

Provide AI application development interface: Support Android NN API, provide RKNN cross-platform API, Linux support for TensorFlow development.