Research on Performance Evaluation Method for Artificial Intelligence Accelerator Card

With the continuous development and evolution of artificial intelligence technology, related hardware products at home and abroad emerge in an endless flow, and the architecture routes are increasingly diverse. Gradually, there are problems such as difficulty in converging technical routes, inconsistent basic performance evaluation methods, lack of comparison of performance conversion of the same type of products, and imperfect adaptation between servers and artificial intelligence accelerator cards. In order to effectively support the application verification and testing of artificial intelligence technology in the energy Internet industry, we need to promote the efficient and stable operation of artificial intelligence business applications in the energy Internet industry, and solve the problems of inconsistent evaluation standards and unclear evaluation methods of existing artificial intelligence basic hardware. This paper designs and introduces a more comprehensive and general performance evaluation method for artificial intelligence acceleration card products, summarizes and designs a set of standardized scoring evaluation weights and calculation indicators, which provides a theoretical basis for the evaluation and selection of basic software and hardware for the construction of artificial intelligence basic environment in the energy Internet industry.