智能驾驶人工智能芯片的计算性能测试研究
Research on Computing Performance Testing of Artificial Intelligence Chip for Intelligent Driving Vehicles
赵瑞 1夏显召 1吴海文 2李予佳 1王清扬 1翟瑞卿 1李明阳 1郝晶晶3
作者信息
- 1. 中汽研软件测评(天津)有限公司
- 2. 国家市场监督管理总局认证认可技术研究中心
- 3. 中国汽车技术研究中心有限公司
- 折叠
摘要
智能驾驶汽车发展迅速,对汽车人工智能(Artificial Intelligence,AI)芯片的计算性能要求持续提升,也引发了行业对于验证芯片计算性能是否满足实际应用需求的关注.然而,目前现有研究多为通用性计算性能测评方法,针对汽车领域应用的AI芯片计算性能有待研究.本文基于这一行业问题,对测试模型进行调研,提出了一套面向智能驾驶应用的AI芯片计算性能测试方法,并选取典型模型对实际产品进行测试,对比分析不同芯片各模型下的测试结果.本文研究内容对于汽车行业进行AI芯片选型也具备重要的参考价值.
Abstract
The rapid development of intelligent driving vehicles has continued to raise the computational performance demands for automotive artificial intelligence(AI)chips,and has triggered the industry's concern about verifying whether the computing performance of chips meets the needs of practical applications.However,most existing researches focus on general computing performance measurement methods,and the computing performance of AI chips for automotive applications still needs to be researched.Based on this industrial problem,this paper conducts survey on test models,proposes a set of testing methods of AI chip computing performance for intelligent driving applications,and selects typical models to test different products,and analyzes the test results of different chips under each model.The research has important reference value for AI chip selection in the automotive industry.
关键词
智能驾驶/人工智能芯片/测试评价/计算性能/芯片选型Key words
intelligent driving/artificial intelligence chip/testing and evaluation/computing performance/chip selection引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据