Discrepancies in Reported “Performance” Metrics (FCP/LCP/SI) by PageSpeed Insights

Understanding Inconsistent Performance Metrics in Google PageSpeed Insights: A Deep Dive

Optimizing website performance is an ongoing process that often involves fine-tuning multiple components to achieve the best possible scores across various tools. Recently, I embarked on a journey to enhance my custom frontend, with the ambitious goal of attaining a perfect 4×100 score on both desktop and mobile in Google PageSpeed Insights (PSI). After weeks of iterative improvements—addressing Lighthouse issues, optimizing assets, and refining load strategies—I reached a point where the desktop score is consistently 100/100, and mobile scores hover around 99/100.

However, a perplexing challenge emerged: the PSI performance scores on mobile fluctuate unpredictably within short timeframes. On some tests, scores drop to 79/100 or lower, even though the underlying page source remains unchanged. This inconsistency has caused significant frustration, prompting a detailed investigation into the causes.

Summary of the Issue

  • Stable Lighthouse Results: Using Lighthouse with network throttling set to “Slow 4G” and CPU throttling to “Low-tier mobile,” I consistently achieve perfect 4×100 scores. This indicates the core optimizations are effective and that the baseline performance is solid.

  • Fluctuating PSI Scores: Despite identical page source and cached content, PSI’s “Performance” score on mobile varies significantly—from near-perfect to substantially lower readings—within minutes.

  • Goals and Adjustments: I have implemented extensive performance best practices:

  • Inline critical CSS
  • Compress HTTP responses
  • Preload hero images and fonts
  • Layered JavaScript loading strategies: minimal external loads before window.load, sequential loading of consent scripts, UI functionality, and deferred functionality after user interaction

  • Known Suspects: I suspect the consent management script (CookieYes) and tracking scripts (GA4) influence the loading performance metrics, but the precise impacts are unclear.

Key Observations

  • The window.load event fires consistently within approximately 0.5 seconds across tests, suggesting that initial load and visible viewport rendering are stable.
  • Log timings based on performance.now() indicate that most lazy-loaded elements complete loading within 1.0 seconds.
  • The Browse Errors section under “Best Practices” in PSI reveals variations, but the logs are challenging to interpret in conjunction with performance metrics.
  • Both tests are performed with cache cleared and using LiteSpeed Cache, ensuring that server-side caching remains consistent between

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