Let X be a n*n random matrix with entries being iid standard normals and let (sigma_1, \cdots, \sigma_n) be its eigenvalues. It is known that both max |sigma_i| and max Re(sigma_i) converge weakly to the Gumbel distribution after proper scaling. We give the exact rate of this convergence.