| AIO-3588JD4 |
Basic Specifications |
SOC |
Rockchip RK3588
|
| CPU |
Octa-core 64-bit processor (4×Cortex-A76+4×Cortex-A55) , main frequency up to 2.4GHz
|
| GPU |
ARM Mali-G610 MP4 quad-core GPU, support OpenGL ES3.2/OpenCL 2.2/Vulkan1.1, 450 GFLOPS
|
| NPU |
The computing power is up to 6TOPS(INT8), support INT4/INT8/INT16 mixed operations
|
| ISP |
Integrated 48MP ISP, support HDR and 3DNR
|
| Codecs |
Hard Decoding: 8K@60fps H.265/VP9/AVS2, 8K@30fps H.264 AVC/MVC, 4K@60fps AV1, 1080P@60fps MPEG-2/-1/VC-1/VP8
Hard Encoding: 8K@30fps H.265/H.264
|
| RAM |
LPDDR4/LPDDR4x (4GB/8GB/16GB optional, up to 32GB)
|
| Storage |
eMMC (32GB/64GB/128GB/256GB optional)
|
| Storage
Expansion |
1 × TF Card, 1 × M.2 (Expandable SATA 3.0/PCIe NVMe SSD, supports 2242/2260/2280 specifications)
|
| Power |
DC 12V (5.5mm × 2.1mm, support 9V~24V wide voltage input)
|
| Power
consumption |
Max: 14.4W(12V/1200mA), Normal: 4.8W(12V/400mA), Min: 0.636W(12V/53mA)
|
| OS |
Android、Linux OS
|
| AI
performance |
・ Support the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as
Gemma-2B, ChatGLM3-6B, Qwen-1.8B, Phi-3-3.8B and other large language models
・ It supports traditional network architectures such as CNN, RNN, and LSTM, and supports the import and export of RKNN
models; Support a variety of deep learning frameworks, including TensorFlow, TensorFlow Lite, PyTorch, Caffe, ONNX
and Darknet. It also supports the development of custom operators
・ Support Docker container management technology
|
| Size |
122.89mm × 85.04mm × 22.46mm
|
| Weight |
≈120g
|
| Environment |
Operating Temperature: -20℃～60℃,
Storage Temperature: -20℃～70℃,
Storage Humidity: 10%～90%RH(non-condensing)
|
Interface Specifications |
Internet |
Ethernet: 2 × RJ45 (1000Mbps)
WiFi: Extend WiFi/Bluetooth module through M.2 E-KEY (2230),
support 2.4GHz/5GHz dual band WiFi6 (802.11a/b/g/n/ac/ax), Bluetooth5.2
4G: Extend 4G LTE via Mini PCIe (Reused with 5G)
5G: Extend 5G via M.2 B-KEY (Reused with 4G and USB3.0(1), not pasted by default)
|
| Video input |
2 × MIPI CSI DPHY (1×4lanes or 2×2lanes, 30Pin-0.5mm), Line in (Led by double row headers)
|
| Video output |
1 × HDMI2.1（8K@60fps or 4K@120fps)
|
| Audio |
1 × 3.5mm Audio jack (Support MIC recording, American Standard CTIA)
|
| USB |
2 × USB3.0 (Max: 1A; UP: USB3.0(1), reused with 5G; DOWN: USB3.0(2))
|
| Watchdog |
Independent watchdog
|
| Other
interfaces |
1 × Type-C (OTG), 1 × FAN (4Pin-1.25mm), 1 × SIM Card
1 × Double-row pin headers (2×10-20PIN-2.0mm): USB2.0, SPI, 2×I2C, Line in, Line out, GPIO
1 × Phoenix connector (2×4Pin, 3.5mm pitch): 1 × RS485, 1 × RS232, 1 × CAN 2.0
|
