Based on Douglas production function, an enterprise innovation performance evaluation index system was constructed, and the static efficiency and dynamic efficiency of 169 listed manufacturing enterprises in Jiangsu Province from 2018 to 2020 were estimated by using DEA-CCR, DEA-BCC and DEA-Malmquist models. The research shows that the R&D investment of listed manufacturing enterprises in Jiangsu Province shows an increasing trend year by year, but the overall innovation performance does not reach the optimal state, mainly due to the low pure technical efficiency, so it is necessary to improve the efficiency of resource allocation. In addition, affected by the epidemic, the overall innovation performance experienced a process from growth to decline, and relatively speaking, the rate of technological progress of enterprises was greater than the rate of change of technological efficiency.