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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 BM1684, this computer can be configured with 16GB of RAM. With up to
17.6TOPS 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, surveillance security, and more.
This computer is powered by SOPHON AI processor BM1684, which features octa-core ARM Cortex-A53,
frequency of up to 2.3GHz
and 12nm lithography process. With up to 17.6Tops of INT8 computing power or 2.2Tops of 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-A1684JD4 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, and 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 BM1684 |
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: 17.6T (INT8)/ 2.2T (FP32)/ 35.2 T (INT8,enable winograd) TPU contains 64 NPU arithmetic units. Each NPU contains 16 EU arithmetic units, 1024 EU in total Support mainstream programming frameworks: TensorFlow / Caffe / PyTorch / Paddle / ONNX / MXNet / Tengine / DarkNet |
VPU |
Up to 32-channel H.265/H.264 1080p@30fps video decoding 1080p@50fps video encoding MJPEG image encoding and decoding up to 1080P@480fps |
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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