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CSR2-N72R3588S
CSA1-N8S1684X
EC-R3576PC FD
EC-R3588RT 2G5
AIBOX-OrinNano
iHC-3568JGW
IPC-M10R800-A3399C V2
iCore-3576Q
iCore-3562JQ
Core-1688JD4
AIO-3576JD4
ROC-RK3576-PC
CT36L/CT36B
Powered by SOPHON AI processor BM1684X, this computer can be configured with 16GB of RAM. With up to
32TOPS of INT8 computing power,
it provides mainstream programming frameworks and a complete, easy-to-use toolchain, featuring low cost
of algorithm migration.
This computer can be applied to visual computing, edge computing, general computing service, intelligent
transportation,
smart classroom, unmanned supermarket, and surveillance security, and more
This computer is powered by SOPHON AI processor BM1684X, which features
octa-core ARM Cortex-A53, frequency of up to 2.3GHz and 12nm
lithography process. With up to 32Tops (INT8) computing power, or 16TFLOPS (FP16/BF16) computing power,
or 2Tops (FP32) high-precision
computing power, it supports mainstream programming frameworks, and can be widely used
in artificial intelligence inference for cloud and edge applications
The computer supports up to 32-channel 1080P H.264/H.265 video decoding. It
is able to simultaneously process and analyze over 16-channel
HD video, making it ideal for various AI applications such as face detection and license plate
recognition on video streaming
Based on measured data using Batch4 INT8 quantization, EC-A1684XJD4 FD has
higher throughput and energy efficiency ratio
than the mainstream intelligent computing module platform in the industry and offers superior
performance
It supports dual 1000Mbps Ethernet, 2.4GHz/5GHz dual-band WiFi, 5G/4G LTE network expansion, enabling higher-rate communication
The SOPHON SDK one-stop deep learning development toolkit provides a series
of software tools, including the underlying driver environment,
compiler, and inference deployment tool. It supports mainstream frameworks:
Caffe/TF/PyTorch/Mxnet/Paddle, mainstream network
model and custom operator development, Docker containerization, and rapid deployment of algorithm
applications.
With complete software and hardware, artificial intelligence inference for
cloud and edge applications can be easily achieved. All of them accelerate
development of edge applications, such as face recognition, video structuring, abnormal alarm, equipment
inspection, and situation prediction, etc
Featuring a variety of interfaces including HDMI, M.2 (SATA), USB3.0,
USB2.0, RS485 and RS232,
the device can be directly applied to AI edge computing products
Equipped with an industrial-grade, all-metal enclosure, an aluminum alloy
structure, and a fanless design, the device provides efficient heat
dissipation and stays completely silent. It enables stable operation and meets a wide range of
industrial-grade application needs
The device can efficiently adapt to all AI algorithms in the market and integrate into edge computing
boxes. It provides powerful AI performance
for a range of industries, including visual computing, edge computing, general computing
service, artificial intelligence, intelligent construction
site, intelligent transportation, smart classroom, unmanned supermarket, security surveillance, and more
Basic Specifications | |
SOC |
SOPHON BM1684X |
CPU |
High-performance octa-core ARM A53, 12nm lithography process, frequency up to 2.3GHz |
TPU |
Built-in tensor computing module TPU, computing power up to: 32TOPS (INT8), 16TFLOPS (FP16/BF16), 2TFLOPS (FP32) Support mainstream programming frameworks: TensorFlow / Caffe / PyTorch / Paddle / ONNX / MXNet / Tengine / DarkNet |
VPU |
32-channel H.265/H.264 1080p@25fps video decoding 32-channel 1080P@25fps HD video processing (decoding + AI analysis) Support 12-channel H.265/H.264 1080p@25fps video encoding |
RAM |
6GB/12GB/16GB LPDDR4/LPDDR4X |
Storage |
32GB/64GB/128GB eMMC, 128MB SPI Flash, 1*M.2 SATA3.0 (Inside the computer. Capable of 2242 SSD expansion), 1*TF card slot |
Ethernet |
2*1000Mbps Ethernet |
Wireless Network |
2.4GHz/5GHz dual-band WiFi, 802.11a/b/g/n/ac, capable of 4G LTE expansion (Mini PCIe), 5G (M.2) |
Video Output |
1*HDMI(1080p@30fps) |
Audio Output |
1*HDMI audio output |
USB |
2*USB3.0 (current limit: 1A), 2*USB2.0 (current limit: 500mA) |
Power |
DC 12V/5A (DC5.5×2.5mm) |
Other Interfaces |
1*RS232、1*RS485 |
OS |
Linux |
Size |
182.5mm * 150.0mm * 66.5mm |
Weight |
≈ 1.8kg |
Environment |
Operating Temperature: -20℃~60℃ Storage Temperature: -20℃~70℃ Operating Humidity: 10%~90% (non-condensing) |
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