Python Demo Models on RPi and Neural Compute Stick 2

[open_vino_user]

Hi

I'm running the Python Text Detection Model PixelLink Demo Models on Raspberry Pi and Neural Compute Stick 2 with Open Vino.

https://github.com/opencv/open_model_zoo/blob/2018/demos/python_demos/text_detection_demo.py ;

 The spec is  51.256 GFlops  http://docs.openvinotoolkit.org/latest/_text_detection_0002_description_text_detection_0002.html

I'm seeing inference speed of ~> 30 seconds for one image.

Is this is what would be expected of a model of this complexity or should I continue to investigate possible configuration issues ?