You can reduce the number of variables that pm.summary() calculates all the stats for by using the var_names parameter. As for only computing a few of the stats I don’t think that is possible. To check model convergence you should calculate and check rhat and ess at least once after sampling.
Alternatively you can write a simple function to calc just mean and std using numpy and return a DataFrame.