TFProfiler 1.2.0 Apk

TFProfiler is an app that aims to profile TensorFlow Lite model or OpenCV DNN supported ones (*.onnx, *.caffemodel, *.pb, *.weights, *.t7, *.net, etc). Measure model performance with FPS, model initialization time, inference time, memory consumption, etc. You can tweak model inferences on Android smartphone with different accelerators: •  CPU •  GPU •  NNAPI •  HEXAGON •  XNNPACK The app has a built-in subset of public available image dataset Caltech 101 (http://www.vision.caltech.edu/Image_Datasets/Caltech101/). It may be used for testing model inferences. Source code of the app can be found here: https://github.com/iglaweb/TFProfiler The app is intended only for testing and conducting experiments on your Android smartphone.