Powered by the Rockchip RK3576, an octa-core 64-bit AIOT processor, ROC-RK3576-PC features a big.LITTLE architecture (4×A72 +4×A53) and an advanced lithography process to deliver high performance while maintaining low power consumption. It is equipped with an ARM Mali G52 MC3 GPU and a 6 TOPS NPU, supporting the private deployment of ultra-large parameter models under the Transformer architecture. It is compatible with various deep learning frameworks, custom operator development, and Docker container management technology. With an external watchdog, it ensures industrial-grade reliability, making it an excellent choice for AI applications requiring local deployment.
Specifications | ||
Basic Specifications | SOC |
Rockchip RK3576 |
Octa-core 64-bit processor (4×A72 + 4×A53), up to 2.2GHz |
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GPU |
G52 MC3 @ 1GHz, supporting OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1 Built-in high-performance 2D acceleration hardware |
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NPU |
6 TOPS NPU, supporting INT4/8/16/FP16/BF16/TF32 mixed operations |
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VPU |
Decoding: 8K@30fps/4K@120fps: H.265/HEVC, VP9, AVS2, AV1, 4K@60fps: H.264/AVC Encoding: 4K@60fps: H.265/HEVC, H.264/AVC |
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RAM |
LPDDR4/LPDDR4x (4GB/8GB optional) |
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Storage |
eMMC (16GB/32GB/64GB/128GB/256GB optional), UFS2.0 (optional) |
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Storage Expansion |
1 * M.2 (2242 PCIe NVMe/SATA SSD expansion ), 1 * TF card slot |
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Power |
DC 12V (5.5mm * 2.1mm, 12V~24V wide input voltage) |
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OS |
Android14, Linux OS, and Buildroot+QT |
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Software Support |
・ The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as Gemma-2B, LlaMa2-7B, ChatGLM3-6B, Qwen1.5-1.8B, and more. ・ Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX and Darknet. ・ Custom operator development. ・ Docker container management technology. |
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Power Consumption |
Normal: 1.2W(12V/100mA),Max: 6W(12V/500mA),Min: 0.096W(12V/8mA) |
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Dimension |
93.00mm * 60.15mm * 12.49mm |
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Weight |
≈50g |
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Environment |
Operating temperature: -20℃- 60℃ Storage humidity: 10%~90%RH (non-condensing) |
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Interfaces | Network |
1 * Gigabit Ethernet (1000 Mbps / RJ45), 2.4GHz/5GHz dual-band WiFi (802.11a/b/g/n/ac), Bluetooth 5.0 |
Video Input |
1 * MIPI CSI DPHY (30Pin-0.5mm, 1*4 lanes/2*2 lanes) |
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Video Output |
1 * HDMI2.1(4K@120fps)、1 * DP1.4 (4K@120fps)、 1 * MIPI DSI DPHY(2560*1600@60fps,30Pin-0.5mm, 1*4 lanes) |
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Watchdog |
External watchdog |
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USB |
1 * USB3.0、1 * USB2.0 |
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Expansion Interface |
1 * Type-C (OTG/DP1.4), 1 * FAN (4Pin-1.25mm), 1 * Debug (3Pin-2mm), 1 * 3.5mm Audio jack (supporting MIC recording, CTIA standard), 1 * MIC (2Pin-1.25mm) 1 * double-row pin header (20Pin-2.0mm): USB 2.0, I2C, SPI, SARADC, UART, and LineOut |