AI PC Index benchmarks your GPU, shows the local AI models that will actually run on it, and gives you a code to the AI PC Library. One file, one run, no account.
Download AIPCIndex.exeversion 1.0.5 · 61 KB · Windows Have a code? Open the library
bacb524a1b7b766a5c3934b07784acb0a7ddf9f12ce328bcf8c433c52a105f5e
Not another synthetic benchmark. A practical answer to “which models can I run?” — with a score you can compare and a code that unlocks the library.
A single number for local AI readiness: GPU class, VRAM and a short compute benchmark.
LLM, image, speech and video models with minimum VRAM and quantization hints. No guesswork.
An anonymous code, one per machine. It opens the library now and your panel later.
No email, no password, no “sign in with…”. The app issues a short code like XXXX-XXXX after the benchmark. It proves the run happened, opens the AI PC Library, and later becomes the login to your personal panel.
The code is shown even if your GPU is below the full-list threshold. In that case the library simply shows lighter models and CPU options. One code per machine; close the app and the code stays valid.
The code is anonymous: it is tied to a machine ID and GPU, not to your name, email, files or browser.
The library is the payoff. Enter your code and get a model list matched to your GPU, with the right quantization and direct links to Ollama, Hugging Face and LM Studio.
GPU/VRAM detection, AI PC Index score, local model fit, access code, library beta. One file; close it after the code.
The code becomes a login. Full model list, quantization recommendations, direct links, saved machines.
Your dashboard: score history, model compatibility, new-model alerts and a “what changed” view for your GPU.
An anonymized map of the local AI GPU base for model labs, OEMs and AI tool makers: which models have an addressable audience, where, and at what VRAM.
Every benchmark is an anonymous data point. The AI PC Index turns those points into a live picture of local AI hardware: GPU classes, VRAM distribution and which models the installed base can run.
For labs: the AI PC Index Report shows addressable GPU base by model, VRAM tier and region. Anonymized, aggregate, no personal data. hello@aipc.digital
GPU model, VRAM, a short local benchmark score, a machine ID and your code. That is what the index and the library need.
Documents, photos, browser history, screen, clipboard, keystrokes. The benchmark runs locally; the app is a single file.
Close the app after the code. The code stays valid. The library is a website; no installer, no account, no lock-in.
Download for Windows Open the library
AIPCIndex.exe · 1.0.5 · 61 KB · SHA-256 bacb524a1b7b766a5c3934b07784acb0a7ddf9f12ce328bcf8c433c52a105f5e · Windows 10/11.