We show that the average number of steps of the Lemke algorithm for the quadratic programming problems grows at most linearly in the number of variables while fixing the number of constraints. The result and method were motivated by Smale's result on linear programming problems. We also give the probability that a quadratic programming problem indeed possesses a finite optimal solution.