Lab performance
Lighthouse runs the page once under controlled mobile or desktop conditions. Retest to confirm patterns instead of relying on one sample.
A website speed test loads a public page in a controlled environment and measures how quickly its content appears and becomes responsive. Check mobile and desktop performance, page weight, requests, Core Web Vitals, and practical fixes.
Use the score to find a direction, then use the supporting metrics to decide what to fix.
Lighthouse runs the page once under controlled mobile or desktop conditions. Retest to confirm patterns instead of relying on one sample.
Chrome field data reflects eligible real users over time. It appears only when Google has enough data for the page or origin.
Start with opportunities that show the largest time or byte savings, then measure again after each meaningful change.
Enter the exact public page URL you want to measure.
Run both device audits and wait for the live results.
Compare the metrics, prioritize fixes, and retest after changes.
A website speed test loads a public page in a controlled environment and measures how quickly its content appears and becomes responsive. This tool reports mobile and desktop lab results from Google PageSpeed Insights when the service is available.
Google classifies 90 to 100 as good, 50 to 89 as needing improvement, and below 50 as poor. Treat the score as a diagnostic summary and review the individual metrics and real-user data when available.
The mobile test uses a slower simulated device and network, while desktop uses a more capable environment. Mobile results are often lower because CPU, bandwidth, and viewport constraints expose more bottlenecks.
When PageSpeed Insights is available, the test returns a Lighthouse lab run and shows Chrome field data for pages with enough eligible real-user traffic. If Google rate limits the audit, the tool clearly switches to a basic network diagnostic without inventing scores.
No. Lab results can vary with network conditions, server load, geography, and page changes. Run several tests, monitor field data, and measure important user journeys before making a performance decision.
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