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June Power
June Power
Based on the Rockchip 3399Pro artificial intelligence open source platform, this device is equipped with an industrial-grade metal shell. It is highly efficient in heat dissipation and supports a variety of operating systems with stable and reliable performance. It features super AI computing performance and rich expansion interfaces for various intelligent applications.
The integrated NPU (AI neural network processor) supports 8-bit/16-bit operations with performance up to 3.0 TOPS. Compared to traditional GPU units, the NPU power consumption is only 1%, providing extreme computing power efficiency.
Supports Caffe models, Tensorflow, Mxnet, Android NN API, and RkNN cross-platform API. We provide AI development tools such as model conversion and the Rock-x SDK AI visual recognition library to quickly realize machine vision recognition.
Strong encoding and decoding capability: supports 4K VP9, 4K 10bit H.265/H.264, and 1080p multi-format video decoding (VC-1, MPEG-1/2/4, VP8).
Equipped with a high-quality metal shell and a fan-less design for efficient cooling. Interfaces include HDMI, Type-C, USB HOST x4, RJ45, Micro SD card, RS485, and RS232.
| Feature | 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, DX11 |
| NPU | 3.0 TOPS, Support Tensorflow / Caffe |
| Memory | Support DDR3/LPDDR4, EMMC 5.1, SDIO 3.0 |
| Display | HDMI 2.0 (4K @60Hz), EDP 1.3, Dual Channel MIPI-DSI |
| Interfaces | USB 3.0 Type-C, PCIe 2.1, 8-channel Digital MIC Array |
| OS | Android and Linux Ubuntu |
