I don’t think the interesting difference is the actual range, as you could always increase or decrease the learning rate. The advantage of using the average of all elements would be to get a loss value, which would not depend on the shape (i.e. using a larger or smaller spatial size would yield approx. the same loss values assuming your model is flexible regarding the spatial shape).