I am atempting to confirm my performance numbers when running the eiq demos on the imx8m nano.
I am running a stock image (fsl-image-validation-imx) using the 4.14.98-2.3.0 yocto sumo manifest in the imx8mnevk board. I am using the opencv obj_recognition_cpp example code modified to set the Preferable target either set to CPU or OPENCL
edit to force hardware openCL shown below
//Net net = readNetFromTensorflow(model, config);
net = readNetFromCaffe(config, model);
When using cpu processing I get an Inference fps of about 3 fps
When using the gpu for open cl I get an Inference fps of arround 1/12 (0.08) fps
Are these the expected performance levels for running open cl on the gpu or have I misconfigured something?