Product Overview
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Based on the Rockchip RK3399Pro artificial intelligence open-source platform, the R16 Crystal features a transparent shell for efficient heat dissipation and internal status monitoring. It supports multiple operating systems with stable, reliable performance for various intelligent applications.
High-Performance Computing
The RK3399Pro processor adopts a dual-core Cortex-A72 + quad-core Cortex-A53 architecture, reaching frequencies up to 1.8GHz. Integrated with a high-end Quad-core ARM Mali-T860 GPU, it delivers exceptional general-purpose computing and graphics processing capabilities.
AI Computing Power (NPU)
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The integrated NPU (AI Neural Network Processor) supports 8-bit/16-bit operations with performance up to 3.0 TOPS. Compared to traditional GPU-based AI units, the NPU consumes only 1% of the power while maintaining high computing efficiency.
Versatile Interface & Decoding
Supports 4K VP9, 4K 10-bit H.265/H.264, and 1080p multi-format video decoding. Equipped with HDMI, Type-C, USB HOST x4, RJ45, RS485, and RS232, it offers unmatched flexibility for industrial research and production.
Technical Parameters
| Component | Detailed Specifications |
|---|
| CPU | Dual Cortex-A72 + Quad Cortex-A53, up to 1.8GHz |
| GPU | Mali-T860MP4, supports OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1 |
| NPU | 3.0 TOPS, supports TensorFlow and Caffe models |
| Memory | DDR3/LPDDR3/LPDDR4 support; EMMC 5.1 and SDIO 3.0 |
| Video | 4K @ 60fps decoding (H.265/H.264/VP9) |
| Display | HDMI 2.0 (4K 60Hz), EDP 1.3, Dual MIPI-DSI |
| OS | Android and Linux Ubuntu |
Frequently Asked Questions
Q1: What is the AI computing power of the R16 Crystal?
The R16 Crystal is equipped with an NPU that provides up to 3.0 TOPS of AI computing performance, supporting 8-bit and 16-bit operations.
Q2: Which operating systems are supported?
It fully supports Android and Linux Ubuntu operating systems, making it suitable for a wide range of development environments.
Q3: Does it support 4K video playback?
Yes, it features hardware decoding for 4K VP9 and 4K 10-bit H.265/H.264 video at up to 60fps via HDMI 2.0.
Q4: What AI frameworks are compatible with the NPU?
The NPU supports mainstream frameworks including TensorFlow, Caffe, MXNet, and Android NN API.
Q5: What are the primary industrial applications?
It is ideal for face recognition, driving behavior monitoring, digital signage, intelligent retail, and industrial AI servers.
Q6: Is development documentation available?
Yes, as an open-source platform, source code, tutorials, and technical development tools are provided to simplify the integration process.
June Power
