It could track different hardware configurations and reasonably standardized benchmark performance per model. I know there's benchmarks buried in github Llama repository.
We need a SWE-bench for open source LLM's and for each model to have 3Dmark like benchmarks on various hardware setups.
I did find this which seems very helpful but is missing the latest models and hardware options. https://kamilstanuch.github.io/LLM-token-generation-simulato...
I get why he calls it a simulator, as it can simulate token output. It's an important aspect for evaluating use case if you need to get a sense of how much token output is relevant beyond the simple tokens per second text.