Demos and Benchmarks
See the Ergo AI processors in action
Presented by Perceive CEO Steve Teig at CES 2023, this video showcases the exceptional performance and power-efficiency of the Ergo chips in two demos: Ergo running ResNet-50 at 30 fps to do image classification and Ergo 2 running 17-key-point body pose estimation at 30 fps.
Powerful, power-efficient performance for edge AI
Perceive Ergo® AI processors enable product developers to leverage large neural networks capable of delivering advanced features, while operating within tight power constraints. The following table provides some performance and power-efficiency benchmarks, based on our own testing with several well-known neural networks.
|Max App IPS*||Compute Power @ 30 fps (mW)||Power Efficiency (IPS/W)||Max App IPS||Compute Power @ 30 fps (mW)||Power Efficiency (IPS/W)|
Don't see your network here?
This is not an exhaustive list of the neural networks supported by the Ergo product line – please get in touch with us to discuss your specific needs.