Toybrick RK3399Pro AI Development Kit 6G+32GB

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  • 110110065
The TB-RK3399Pro development board is equipped with the super-performance AI processor... more
Product information "Toybrick RK3399Pro AI Development Kit 6G+32GB"
TB-RK3399Pro Processor

The TB-RK3399Pro development board is equipped with the super-performance AI processor RK3399Pro, which has superior general-purpose computing performance. It equips ARM big.LITTLE architecture, dual-core Cortex-A72 + quad-core Cortex-A53, with technical leadership in overall performance and power consumption; quad-core ARM high-end GPU Mali-T860, integrates multiple bandwidth compression technology, providing overall excellent performance. Its on-chip NPU (Neural Network Processor) offers up to 3.0TOPs computing power.

 TB-RK3399Pro-intro

The TB-RK3399Pro development board has rich external interfaces, including 4 lanes PCIE and Mini PCIE, dual high-speed USB3.0 port Type-C + USB3.0 Type-A, dual MIPI CSI and dual ISP with pixel processing capability up to 1300W pixels, and HDMI2.1, DP1.2, MIPI-DSI and EDP; it also supports 8-channel digital microphone array input.

TB-RK3399Pro support OS

TB-RK3399Pro Tool

On the software side, TB-RK3399Pro is pre-installed Android and Linux system, support dual system boot and one-button OS switching. integrated rich AI application development components, providing friendly and concise application programming interface, seamless docking NPU to achieve AI computing hardware acceleration, support Various model inferences such as TensorFlow/TensorFlow lite/Caffe.

TB-RK3399Pro Application

Specification

 SoC : Rockchip RK3399Pro (NPU built-in)

 NPU : Support 8-bit/16-bit Inference

 Deep Learning : Support TensorFlow/Caffe Model

 CPU :  Dual Cortex-A72 +Quad Cortex-A53,64-bit CPU

 Frequency :  up to 1.8GHz

 GPU :  Mali-T860MP4 GPU

 Memory :  6GB LPDDR3

 EMMC :  32GB eMMC

 Support : SIM Card, TF Card

 USB : 2 x USB 2.0 Host, 1 x USB 3.0 Host, 1 x USB 3.0 Type-C

 Dual OS : Android 8.0 & Fedora 28

RK3399Pro

  • Dual-core Cortex-A72 up to 1.8GHz; Quad-core Cortex-A53 up to 1.4GHz
  • NPU up to 3.0TOPS
  • Mali-T860MP4 GPU
  • Dual-channel DDR3/DDR3L/LPDDR3/LPDDR4
  • 4K UHD H265/H264/VP9
  • HDR10/HLG
  • H264 encoder
  • Dual MIPI CSI and ISP
  • USB Type-C and USB 2.0
CPU Big.Little architecture: Dual Cortex-A72 + Quad Cortex-A53, 64-bit CPU
Frequency is up to 1.8GHz
NPU Support 8-bit/16-bit Inference
Support TensorFlow/Caffe Model
GPU Mali-T860MP4 GPU, OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1, OpenCL, DX11
Supports AFBC (ARM Frame Buffer Compression)
Memory 3GB/6GB LPDDR3
Support eMMC 5.1 with HS400, SDIO 3.0 with HS200
Multi-Media 4K VP9 and 4K 10bits H265/H264 video decoders, up to 60fps
1080P other video decoders (VC-1, MPEG-1/2/4, VP8)
1080P video encoders for H.264 and VP8
Video post processor: de-interlace, de-noise, enhancement for edge/detail/color
Display Dual VOP: one supports 4096x2160 with AFBC supported; the other supports 2560x1600
Dual channel MIPI-DSI (4 lanes per channel)
eDP 1.3 (4 lanes with 10.8Gbps) to support display, with PSR
HDMI 2.0 for 4K 60Hz with HDCP 1.4/2.2
DisplayPort 1.2 (4 lanes, up to 4K 60Hz)
Supports Rec.2020 and conversion to Rec.709
Interface Dual 13M ISP and dual channel MIPI CSI-2 receive interface
USB 3.0 with type-C supported
PCIe 2.1 (4 full-duplex lanes)
Embedded low power MCU for other application
8 channels I2S supports 8 channels RX or 8 channels TX

RK3399Pro-AI-performance

Shipping list:

1 x TB-RK3399Pro development board with Heatsink (6G+32G eMMC)

1 x Acrylic case with screws

1 x 12V-2A power supply

1 x Type C cable

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