Run a small LLM on this device

How does my computer rank?

Measure local AI generation speed directly. The GPU name and logical processor count are displayed within the range accessible through the browser. Clicking on the chipset details will retrieve additional information from the graphics driver. CPU and RAM specifications that are not recognized can be entered manually, and specifications entered manually are stored only on the device and are not reflected in the rankings.

Standard measurement performs three measurements of 128-token decoding, excluding the first token, after prefill execution, using the same question, and records the median value. You may share your personal best records and results.

Initially, it displays the top % based on the experience-based virtual comparison group. This is not based on actual computer distribution measurements or estimations. If there are 30 or more records agreeing to submission under identical conditions, the ranking is converted to participant ranking, and the virtual comparison group and actual participant data are not mixed. This is not a ranking of overall computer performance or the speed ranking of large models.

What can you check?

It is not a simulation that only reorders pre-defined sentences. When a user directly inputs a question, the model file and computation run within the user's browser, and responses appear one token at a time. After completion, it simultaneously displays the time taken from the first token to appear and the actual token generation speed.

Things to know before execution

On the first run, download the Qwen2.5 0.5B model file; from subsequent runs, use the browser cache. Execution requires approximately 945MB of GPU memory and a web browser supporting WebGPU, such as the latest Chrome, Edge, or Safari. Due to its small size, it is better suited for examining local execution processes and device-level perceived performance rather than for verifying the latest facts.

Where is the question processed?

The input question and generated answer are not sent as analysis data for this experience feature. The model is downloaded only after the button is pressed, and currently running tasks are terminated when the tab is closed.