max_iter hyper parameter in sklearn.cluster.MiniBatchKMeans
max_iterint, default=100
Maximum number of iterations over the complete dataset before stopping independently of any early stopping criterion heuristics.

It's the number of iteration over the full dataset.
Number of partial_fit will depend on batch_size

batch_sizeint, default=100
Size of the mini batches.


partial_fit(self, X[, y, sample_weight])
Update k means estimate on a single mini-batch X.

Ref :
User guide
Class Def.