Its asymptotic variance is lower than the Cramer-Rao Lower Bound at specific points in the parameter space.

It converges to the parameter $\theta$ at a rate faster than $O(n^{-1/2})$.

It is always unbiased.

It has zero variance for all sample sizes $n$.