Typically you only use one copy of the network, so the variance of the initialization doesn’t give you much information here.
One approach to this is to run the same input through a network several times while dropout is enabled.
A classic in this regard is Gal and Ghahramani: Dropout as a Bayesian Approximation 20.
Best regards
Thomas