EC-A1684XJD4 AI Embedded PC

SOPHON BM1684X

Integrated high-performance octa-core ARM A53, 12nm process, with a frequency of up to 2.3GHz

Built-in tensor computing module TPU, computing power up to: 32TOPS(INT8), 16TFLOPS(FP16/BF16), 2TFLOPS(FP32)

32TOPS

32-channel H.264 1080P@25fps, 1-channel 8K@25fps video decoding
32-channel 1080P@25fps HD video processing (decoding + AI analysis)
12-channel H.264 1080P@25fps video encoding
JPEG image codec 1080P@600fps

8GB/12GB/16GB LPDDR4/LPDDR4X

32GB/64GB/128GB eMMC

1 × M.2 SATA3.0 (expandable 2242 SATA SSD,
located inside the computer), 1 × TF Card

DC 12V (5.5×2.5mm)

Normal: 24W(12V/2000mA), Max: 42W(12V/3500mA)

1 × HDMI2.0（1080P@30Hz）

1 × HDMI Audio Output

Linux

・ The private deployment of ultra-large-scale parameter models under the Transformer architecture, including large
　　language models such as Llama series, ChatGLM series, and Qwen series, as well as major visual models like ViT,
　　Grounding DINO, and SAM
・ The private deployment of the Stable Diffusion V1.5 image generation model in the AIGC field
・ Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks, including
　　TensorFlow, PyTorch, MXNet, PaddlePaddle, Caffe and ONNX, as well as custom operator development
・ Docker container management technology

210.0mm ×130.0mm ×44.5mm

Net weight: 1.28kg, Weight with antenna: 1.33kg, Total weight with package: 2.24kg

Operating Temperature: -20℃～60℃, Storage Temperature:-20℃～70℃, Storage Humidity: 10%～90%RH(non-condensing)

Support 2.4GHz/5GHz dual-band WiFi (802.11a/b/g/n/ac protocol), expandable 4G LTE (via Mini PCIe), 5G (via M.2 B-KEY)

2 × Gigabit Ethernet (RJ45/1000Mbps)

4G LTE/5G
2.4GHz/5GHz Dual-band Wi-Fi
GbE × 2

2 × USB3.0 (Max: 1A), 2 × USB2.0 (Max: 500mA)