Threads android studio debugging5/10/2023 tflite : Inference timings in us: Init: 5685, First inference: 18535, Warmup (avg): 14462.3, Inference (avg): 14575.2īenchmark tool is also provided as a native binary benchmark_model. View the results using the logcat command: adb logcat | grep "Inference timings" The number of threads to use for running TFLite interpreter.ĭepending on the device you are using, some of these options may not beįor more performance parameters that you could run with the benchmark app. You can specify more optional parameters for running the benchmark. es args '"-graph=/data/local/tmp/your_model.tflite \ Note: It is required to build the app from the source if you want to run theĪndroid benchmark apk on x86 CPU or Hexagon delegate or if your model containsīefore running the benchmark app, install the app and push the model file to theĭevice as follows: adb install -r -d -g android_aarch64_benchmark_model.apkĪdb push your_model.tflite /data/local/tmp You can also build the app from source by following these Download or build the appĭownload the nightly pre-built Android benchmark apps using the links below:Īs for Android benchmark apps that support TF ops Install and run it by using the adbĬommand and retrieve results by using the adb logcat command. Running inference with the model in the actual app. Way, the numbers from the benchmark tool will still differ slightly from when Native benchmark binary and another is an Androidīenchmark app, a better gauge of how the model would perform in the app. There are two options of using the benchmark tool with Android. Slightly different due to the differences in runtime environment. Note that the available options and output formats are Native command-line binaries, and they all share the same core performance The benchmark tools are available as benchmark apps for Android and iOS and as Memory usage during initialization time. The following important performance metrics: TensorFlow Lite benchmark tools currently measure and calculate statistics for
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