This doesn't look accurate to me. I have an RX9070 and I've been messing around with Qwen 3.5 35B-A3B. According to this site I can't even run it, yet I'm getting 32tok/s ^.-

It would be great if something like this was built into ollama, so you could easily list available models based on your current hardware setup, from the CLI.

Sorry if already been answered, but will there be a metric for latency aka time to first token?

Since I considered buying M3 Ultra and feel like it the most often discussed regarding using Apple hardware for runninh local LLMs. Where speed might be okay, but prompt processing can take ages.

When running models on my phone - either through the web browser or via an app - is there any chance it uses the phone's NPU, or will these be GPU only?

I don't really understand how the interface to the NPU chip looks from the perspective of a non-system caller, if it exists at all. This is a Samsung device but I am wondering about the general principle.

I don't see my beloved 5060ti. looks great though

Man, I wonder when there will be AI server farms made from iCloud locked jailbroken iPhone 16s with backported MacOS

In mobile section it is missing Tensor chips (used by Google Pixel devices).

I have amd 9700 and it is not listed while it is great llm hardware because it has 32Gb for a reasonable price. I tried doing "custom" but it didn't seem to work.

The tool is very nice though.

It says "RAM - unknown", but doesn't give me an option to specify how much RAM I have. Why?

The M4 Ultra doesn't exist and there is more credible rumors for an M5 Ultra. I wouldn't put a projection like that without highlighting that this processor doesn't exist yet.