WEHEAD connects to ChatGPT and displays a face, expressions and voice. Artificial intelligence benchmarking group MLCommons on Wednesday released a fresh set of tests and results that rate the speed at which top-of-the-line hardware can run AI applications and respond to users. The two new benchmarks added by MLCommons measure the speed at which the AI chips and systems can generate responses from the powerful AI models packed with data. The results roughly demonstrate to how quickly an AI application such as ChatGPT can deliver a response to a user query. One of the new benchmarks added the capability to measure the speediness of a question-and-answer scenario for large language models.