YY-AX650N-M.2 AI Computing Card
The NPU demonstrates exceptional performance. Using only one-third of its computing capacity, the card achieves the following results with common open-source AI models:
- YOLOv5s: 130 FPS (7.66 ms) with 640x640 resolution input.
- MobileNetV2: Over 1798 FPS (0.556 ms) with 224x224 resolution input.
The card supports a wide range of deep learning algorithms, enabling diverse application scenarios. It efficiently handles Transformer models, large vision models, and DeepSeek models. An SDK is provided to facilitate secondary development, allowing users to rapidly implement productization.
System Resources | Parameter Description |
CPU | Octa-core Cortex-A55 1.7GHz, supports NEON acceleration, integrated FPU processing unit |
NPU | Supports up to 72 TOPS @ INT4 or 18 TOPS @ INT8; |
CODEC | Supports H.264/H.265 codec; |
RAM | 16GB LPDDR4 (Configurable based on user requirements) |
ROM | 256MB NAND Flash |
Operating System | Linux (Supports Ubuntu/Debian desktop systems) |
Interface | M.2 interface |
Physical Dimension | Parameter Description |
Size (L*W*H) | 22mm*80mm*5mm |
Weight | 50g |
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