Is there any available information about excess power consumption due to the Machine-Learning Core (MLC) on the LIS2DUX12 accelerometer?
The LIS2DUX12 datasheet claims in Section 2.2 "Electrical characteristics" a current draw of up to 10.8uA (independently on ODR, which is amazing per se), but I assume this is with MLC disabled.
How does the power consumption change based on the number and complexity of the decision trees configured in the MLC?
How does it change based on the configured filters and features? Does the type of filter and features play a role? Does the Window Length play a role?
Many thanks in advance,
