TB-RK3399ProX NPU 3.0TOPS RockChip RK3399Pro AI Artificial Intelligence Development Board Supports Android/Linux - Youyeetoo
  • TB-RK3399ProX NPU 3.0TOPS RockChip RK3399Pro AI Artificial Intelligence Development Board Supports Android/Linux - Youyeetoo
  • TB-RK3399ProX NPU 3.0TOPS RockChip RK3399Pro AI Artificial Intelligence Development Board Supports Android/Linux - Youyeetoo
TB-RK3399ProX NPU 3.0TOPS RockChip RK3399Pro AI Artificial Intelligence Development Board Supports Android/Linux

TB-RK3399ProX NPU 3.0TOPS RockChip RK3399Pro AI Artificial Intelligence Development Board Supports Android/Linux

Vendor: Toybrick
SKU: BQ0017
Availability: In stock
$706.00 $1,904.00 (-63%)
Model: 2GB+16GB
Product subtotal: $706.00

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TB-RK3399ProX artificial intelligence development board

  • Equipped with a high-performance AI processing chip RK3399Pro and an integrated neural network processor NPU, the computing power is as high as 3.0Tops.

  • It adopts the combination of core board and backplane, and is flexibly used in various embedded artificial intelligence fields.

 

Smaller size and strong compatibility

  • The size is only 69.6mm×70mm, which meets the space requirements of small terminal products.

  • SO-DIMM 260P standard gold finger interface to meet various signal requirements.

Support multiple operating systems: Android, Debian

Combination of core board + backplane to form a complete industrial application motherboard

Product Interface Information

Core board specifications

SOC

Rockchip RK3399Pro

CPU

Dual-core Cortex-A72 up to 1.8GHz

Quad-core Cortex-A53 up to 1.4GHz

GPU

ARM Mali-T860 MP4 Quad-core GPU

Support OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1, OpenCL, DX11

Support AFBC（framebuffer compression）

NPU

Support 8bit/16bit operation，Support TensorFlow、Caffe model,Computing performance up to 3.0TOPS

VPU

Support 4K VP9 and 4K 10bits H265/H264 video decoding,reach up to 60fps

1080P multi-format video decoding (WMV, MPEG-1/2/4, VP8)

1080P video encoding, supports H.264, VP8 format

Video post processor: de-interlacing, denoising, edge/detail/color optimization

CPU Memory

2GB/4GB LPDRR4

NPU Memory

1GB DRR3

Storage flash

16GB/32GB eMMC for CPU

input power

DC 12V/2A

OS

Android、Linux

Core board size

69.6mm×70mm

PCB Specifications

10-layer board, thickness 1.2mm

Interface Type

SODIMM-260Pin

Baseplate Specifications

display interface

1ch HDMI2.0(Type-A) interface, support 4K/60fps output

1 channel DP1.2 (Type-A) interface, supports 4K@60fps output

1 MIPI interface, supports 1920*1080@60fps output

1 channel eDP1.3 interface, support 2K@60fps output

audio port

1 channel HDMI audio output

1 channel Speaker, speaker output

1 headphone output

1 microphone, onboard audio input

Ethernet

10/100/1000Mbps Ethernet, RJ45 interface

Wireless network

Supports 5G/2.4G dual-band wifi, BT4.2

camera interface

2-way MIPI-CSI camera interface (CPU side supports up to 13Mpixel, NPU side supports up to 2Mpixel)

USB

2x USB2.0 Host, Type-A (CPU side)

1x USB3.0 OTG, Type-C (CPU side)

PCIe

1-way PCIe x4 standard interface, supports expansion based on PCIe high-speed WIFI, storage, and other devices

button

1x Recovery button;

1x Reset button;

1x Power button;

debugging

1channel debugging serial port (Micro USB interface)

serial port

1-way UART interface

Extension ports

The 40Pin expansion interface includes:

  • 8-channel I2S interface (supports microphone array)

  • 2-channel ADC interface

  • 2-way I2C interface

  • 2 GPIO ports

  • Output 3-way VCC power supply (12V, 3.3V, 5V))

TB-RK3399ProX AI Development Board – High-Performance Edge AI Computing The TB-RK3399ProX is a compact, industrial-grade AI development board powered by Rockchip's RK3399Pro processor and integrated 3.0TOPS NPU. Designed for edge AI applications, it combines high-performance computing with flexible deployment across Android and Linux environments. Key Features: High-Performance AI Processing: RK3399Pro SoC with dual-core Cortex-A72 (1.8GHz) and quad-core Cortex-A53 (1.4GHz), paired with a dedicated 3.0TOPS neural network processor supporting 8-bit and 16-bit operations. Compatible with TensorFlow and Caffe models. Compact Form Factor: Measuring just 69.6mm × 70mm with SO-DIMM 260P gold-finger interface, the core board fits space-constrained embedded systems while maintaining full signal compatibility. Rich Multimedia Support: ARM Mali-T860 MP4 GPU with OpenGL ES, OpenVG, and OpenCL support. 4K VP9 and H.265/H.264 video decoding at 60fps; 1080P multi-format encoding. Flexible I/O Connectivity: Dual HDMI 2.0 and DisplayPort 1.2 (4K@60fps), dual MIPI-CSI camera interfaces, PCIe x4 expansion, dual USB 3.0, Gigabit Ethernet, and dual-band WiFi 5G/2.4G with Bluetooth 4.2. Modular Architecture: Core board + backplane design enables rapid prototyping and scalable industrial deployment. Memory & Storage: 2GB/4GB LPDDR4 CPU memory, 1GB DDR3 NPU memory, 16GB/32GB eMMC storage. Multi-OS Support: Pre-configured for Android and Debian Linux with comprehensive development documentation. Ideal for computer vision, edge inference, robotics, IoT gateways, and AI-powered embedded systems requiring low-latency processing.

WIKI: https://t.rock-chips.com/en/wiki.php?filename=Board_Guide/TB-RK3399ProX

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