EN
EN
The SOPHON Deep learning Micro Server SE5-8 is an edge computing product with high performance and low power consumption. It is equipped with the third-generation TPU processor BM1684 independently developed by SOPHGO. It has INT8 performance up to 10.6TOPS and supports up to 8 channels of full HD video hardware decoding and 1 channel encoding.
High computational power utilization
Supports FP32/INT8
Support up to 8 channels 1080P HD video full-process processing, support 8 channels full HD video hardware decoding and 1 channel encoding
Support Caffe/TensorFlow/PyTorch/MXNet/Paddle Lite and other mainstream Deep learning frameworks
Support fanless cooling with wide temperature ranging from -20℃ to + 70℃
Support various algorithms such as person vehicle /non-vehicle/object recognition, video structurization and trajectory behavior analysis.
Support smart park/security/industrial control/business and other fields and scenarios for flexible deployment
Support USB, HDMI, RS-485, custom I/O and other interfaces
Support LTE wireless function (optional)
Dynamic and static comparison and recognition, video structurization, attribute analysis and control trajectory analysis.
Checkpoint, automatic vechicle identification, law enforcement assistance, smart parking
Face recognition, security checking, staff attendance management and smart alert system
Goods recognition, smart stores application, face recognition payment
SOPHON SDK one-stop toolkit provides a series of software tools including the underlying driver environment, compiler and inference deployment tool. The easy-to-use and convenient toolkit covers the model optimization, efficient runtime support and other capabilities required for neural network inference. It provides easy-to-use and efficient full-stack solutions for the development and deployment of deep learning applications. SOPHON SDK minimizes the development cycle and cost of algorithms and software. Users can quickly deploy deep learning algorithms on various deep learning hardware products of SOPHGO to facilitate intelligent applications.
chip
model
SOPHON BM1684
RISC-V
8-core A53@2.3GHz
Deep learning Performance
Supports FP32/INT8, capable of simultaneously processing 8 channels of high-definition video
Video / Picture codec
Video decoding capability
240fps 1080p (8channels 1080P @ 30FPS)
Video encoding capability
25fps 1080p (1 channels 1080P @ 25FPS)
Picture codec capability
240 PCS / s 1080p
Memory and storage
Memory
6GB
eMMC
32GB
External interface
Ethernet interface
10/100 / 1000Mbps adaptive * 2
USB
USB3.1 *2
Storage
MicroSD *1
Display
HDMI *1
Phoenix terminal
RS-485 * 2 / CustomI/O
Mechanical
Length * width * height
185mm*170mm*43.6mm,1.25kg(weight)
Power supply and power consumption
Power supply
AC 220V
Typicalpower consumption
20W
Temperature and humidity
Working temperature
-20 ℃ ~ + 70 ℃ (depending on the configuration)
Humidity
10% ~ 90%, no condensation