In this paper, we chose four major dimensions of balanced scorecard as indicators to do the performance evaluation. Then the data envelopment analysis method was used to measure the efficiency. The indicators included: Number of common stock, marketing expenses, operating costs, research and development expenses, employee expenses, operating revenue, and pre-tax income. The results indicated that: for the lag time analysis of selected two years data, the leading indicators (non-financial aspect) had obviously reflected to the behind indicators (financial aspect). For the efficient evaluation, 84% of units could reach relatively good operation efficiency. For the slack variable analysis, 58% and 70% of units needed to improve its marketing expenses and pre-tax income. For the sensitivity analysis, the change of operating costs and operating revenues were the most obvious indicators that affected the evaluated units.