In this paper, a general asymptotic optimal geometric shrinkage variances estimation is studied under the
framework of Riemann manifold. Two asymptotic optimal shrinkage weight estimators are proposed with
the loss function which is square of the Riemann metric. The simulation shows that the resulting estimator
performs well under the percentage related improvement in average loss (PRIAL) criterion which measures
the degree of improvement over the naive sample variance estimators.