This paper presents a methodology to quantify the Machine Intelligence Quotient (MIQ) for autonomous cars. MIQ integrates multi-dimensional categories—Physical, Cognitive, and Functionality Intelligence attributes—to evaluate vehicle intelligence in a comprehensive manner. By focusing on the harmony of these facets with human cognitive and decision-making processes, MIQ provides a transformative approach to understanding and enhancing autonomous vehicle technology. This framework not only offers an empirical method for intelligence assessment but also sets a visionary benchmark, advocating for advancements that parallel human-like intelligence in future autonomous systems.