AnsweredAssumed Answered

Performance query for eiq-sample-apps on imx8m nano cpu vs gpu

Question asked by Tyler Ward on Jun 17, 2020
Latest reply on Jun 18, 2020 by Bio_TICFSL

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);
  net.setPreferableTarget(cv::dnn::DNN_TARGET_OPENCL);
}

 

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?

 

Thanks

Tyler

Outcomes