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June Power
June Power
Based on rockchip3399pro artificial intelligence open source platform, this device is equipped with an industrial-grade metal shell, 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 direct application in various intelligent products.
The NPU (AI neural network processor) is integrated in the CPU, supporting 8-bit / 16-bit operation with performance up to 3.0 TOPS. Compared with traditional GPU units, the power consumption of NPU is only 1%, providing extremely high computing power efficiency.
Supports Caffe models, Tensorflow, Mxnet general models, Android NN API, RkNN cross-platform API, and provides AI development tools such as model conversion and Rock-x SDK AI visual recognition libraries.
Strong hardware encoding and decoding capability: supports 4K VP9, 4K 10bit H.265 / H.264 and 1080p multi-format (VC-1, MPEG-1/2/4, VP8) video decoding.
Equipped with a high-quality aluminum alloy metal shell and fan-less design for efficient cooling. We provide source code, tutorials, and technical materials to simplify the development process.
| Category | Specifications |
| CPU | Dual Cortex-A72 + Quad Cortex-A53, Frequency up to 1.8GHz |
| GPU | Mali-T860MP4, supports OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1, AFBC |
| NPU | 3.0 TOPS, supports 8bit/16bit, Tensorflow and Caffe models |
| Memory | DDR3/LPDDR4 support, EMMC 5.1 and 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, RS485, RS232, RJ45, Micro SD |
