Demo 2 - MCU Target and pipelines

Fill the form

Go to http://157.26.64.222/benchmark.

Fil the form with the following information :

• Target : NXP Cup board, MCU LPC55S69JBD100
• Runtime : TensorFlow Lite
• Model : small_model.tflite

Click on the Launch the benchmark button.

Key talking points :

• Target : The target this time is an MCU based on a Cortex M33.
• Runtime : The runtime is ThensoFlow Lite for microcontrollers. This benchmark will take more time than the previous one.
• Model : The selected model is very small, this target has very limited memory resources.

Wait for the results & show the pipeline

The result should be available in about 3 minutes.

Got to the pipeline page and show the different steps of the benchmark. Key talking points :

• Pipeline : The pipeline is the set of steps that are executed to run the benchmark.
• Runner : The runner is selected by the VirtualLab based on the Runner tags.
• Steps :
  • Prepare : The VirtualLav prepares the environment. It downloads the model and the target sources to the runner.
  • Run : The VirtualLab runs the different scripts to perform the benchmark.
  • Upload : The runner uploads the result to the VirtualLab.
  • End : The VirtualLab displays the result to the user.

Analyze the results

Key talking points :

• Small Model : The model is very small, the inference time is low.

In case of problems :

• Here is the resulting JSON.
• Here is the pipeline of the same benchmark.

Compare the results

Go to the history page and compare the two results.

Key talking points :

• Models : The models used and the targets are different. Thus comparing the results is not relevant. But here is just to illustrate the feature.