TFProfiler APK
APK Version History
- Version
- 1.2.0 (12)
- Architecture
- armeabi-v7a
- Release Date
- June 09, 2022
- Requirement
- Android 5.0+
Download [ 80.6 MB ]
Safe
- Version
- 1.2.0 (12)
- Architecture
- arm64-v8a
- Release Date
- June 09, 2022
- Requirement
- Android 5.0+
- Version
- 0.93 (5)
- Architecture
- arm64-v8a
- Release Date
- December 05, 2021
- Requirement
- Android 5.0+
Download [ 64.4 MB ]
Safe
About Radio FM 90s
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.
• 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.
What's New in this version
Fixes and improvements