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InteractionInput Latency Breakdown

Input latency breakdown

Chrome 96+ Edge 96+ Firefox 144+ Safari 26.2+ Details

Aggregates interaction latency by event type to reveal which phase causes slowness across all interactions with the page. While Interactions shows a per-interaction breakdown in real time, this snippet collects data over time and answers a different question: is click systematically slower than keypress? Is the bottleneck always input delay, or does it vary by event?

Why this matters

INP measures the worst interaction, but understanding the pattern across many interactions is more actionable. A click with high input delay has a different fix than a keypress with slow processing time. Grouping by event type surfaces systematic problems instead of outliers.

The three phases of every interaction

PhaseWhat it measuresCommon causes
Input DelayTime from user input to event handler startLong tasks blocking the main thread
Processing TimeEvent handler executionSlow JavaScript, complex handlers
Presentation DelayRendering after processing completesLarge DOM updates, layout thrashing

How to use: Run the snippet, interact with the page, then call getInputLatencyBreakdown() to see aggregated stats grouped by event type.

Snippet

Run it from an AI agent: the prompt uses the CLI to measure any URL and report the result.

// Input Latency Breakdown
// https://webperf-snippets.nucliweb.net

(() => {
  const formatMs = (ms) => `${Math.round(ms)}ms`;

  const valueToRating = (score) =>
    score <= 200 ? "good" : score <= 500 ? "needs-improvement" : "poor";

  const RATING_COLORS = {
    good: "#0CCE6A",
    "needs-improvement": "#FFA400",
    poor: "#FF4E42",
  };

  const RATING_ICONS = {
    good: "🟢",
    "needs-improvement": "🟡",
    poor: "🔴",
  };

  // Interactions grouped by event type
  const byEventType = {};

  const observer = new PerformanceObserver((list) => {
    // Group entries by interactionId; keep the longest entry per interaction
    const interactions = {};

    for (const entry of list.getEntries().filter((e) => e.interactionId)) {
      interactions[entry.interactionId] =
        interactions[entry.interactionId] || [];
      interactions[entry.interactionId].push(entry);
    }

    for (const group of Object.values(interactions)) {
      const entry = group.reduce((prev, curr) =>
        prev.duration >= curr.duration ? prev : curr
      );

      const eventType = entry.name; // "click", "keydown", "pointerdown", etc.
      const inputDelay = entry.processingStart - entry.startTime;
      const processingTime = entry.processingEnd - entry.processingStart;
      const presentationDelay = Math.max(
        4,
        entry.startTime + entry.duration - entry.processingEnd
      );

      if (!byEventType[eventType]) {
        byEventType[eventType] = {
          count: 0,
          durations: [],
          inputDelays: [],
          processingTimes: [],
          presentationDelays: [],
        };
      }

      const bucket = byEventType[eventType];
      bucket.count++;
      bucket.durations.push(entry.duration);
      bucket.inputDelays.push(inputDelay);
      bucket.processingTimes.push(processingTime);
      bucket.presentationDelays.push(presentationDelay);
    }
  });

  observer.observe({ type: "event", durationThreshold: 0, buffered: true });

  const p75 = (arr) => {
    const sorted = [...arr].sort((a, b) => a - b);
    return (
      sorted[Math.floor(sorted.length * 0.75)] ?? sorted[sorted.length - 1]
    );
  };

  window.getInputLatencyBreakdown = () => {
    const types = Object.keys(byEventType);

    if (types.length === 0) {
      console.log("%c⌨️ No interactions recorded yet.", "font-weight: bold;");
      console.log(
        "   Interact with the page (click, type, etc.) and call this again."
      );
      return {
        script: "Input-Latency-Breakdown",
        status: "error",
        error: "No interactions recorded yet. Interact with the page (click, type, etc.) and call getInputLatencyBreakdown() again.",
        getDataFn: "getInputLatencyBreakdown",
      };
    }

    console.group(
      "%c⌨️ Input Latency Breakdown by Event Type",
      "font-weight: bold; font-size: 14px;"
    );

    for (const eventType of types.sort()) {
      const b = byEventType[eventType];

      const p75Total = p75(b.durations);
      const p75InputDelay = p75(b.inputDelays);
      const p75Processing = p75(b.processingTimes);
      const p75Presentation = p75(b.presentationDelays);
      const p75Sum = p75InputDelay + p75Processing + p75Presentation;

      const phases = [
        { name: "Input Delay", value: p75InputDelay },
        { name: "Processing", value: p75Processing },
        { name: "Presentation", value: p75Presentation },
      ];
      const bottleneck = phases.reduce((a, b) => (a.value > b.value ? a : b));

      const rating = valueToRating(p75Total);
      const icon = RATING_ICONS[rating];
      const color = RATING_COLORS[rating];

      console.log(
        `%c${icon} ${eventType}%c (${b.count} interaction${b.count > 1 ? "s" : ""})  P75: ${formatMs(p75Total)}   Input Delay: ${formatMs(p75InputDelay)}  Processing: ${formatMs(p75Processing)}  Presentation: ${formatMs(p75Presentation)}`,
        `font-weight: bold; color: ${color};`,
        "color: inherit;"
      );

      // Visual distribution bar based on P75 phase values
      const barWidth = 36;
      const inputBar = "█".repeat(
        Math.max(1, Math.round((p75InputDelay / p75Sum) * barWidth))
      );
      const procBar = "▓".repeat(
        Math.max(1, Math.round((p75Processing / p75Sum) * barWidth))
      );
      const presBar = "░".repeat(
        Math.max(1, Math.round((p75Presentation / p75Sum) * barWidth))
      );
      console.log(`   ${inputBar}${procBar}${presBar}`);
      console.log(
        `   █ Input Delay (${((p75InputDelay / p75Sum) * 100).toFixed(0)}%)  ` +
          `▓ Processing (${((p75Processing / p75Sum) * 100).toFixed(0)}%)  ` +
          `░ Presentation (${((p75Presentation / p75Sum) * 100).toFixed(0)}%)`
      );

      if (rating !== "good") {
        console.log(
          `   ⚠️ Bottleneck: ${bottleneck.name} — `,
          bottleneck.name === "Input Delay"
            ? "break up long tasks blocking the main thread (scheduler.yield(), setTimeout)"
            : bottleneck.name === "Processing"
            ? "optimize event handlers or consider debouncing"
            : "reduce DOM changes or avoid layout thrashing after the handler"
        );
      }

      console.log("");
    }

    // Highlight the event type with the highest P75
    const worstType = types.reduce((a, b) =>
      p75(byEventType[a].durations) >= p75(byEventType[b].durations) ? a : b
    );
    const worstP75 = p75(byEventType[worstType].durations);

    if (valueToRating(worstP75) !== "good") {
      console.log(
        `%c🎯 Highest latency: ${worstType} (P75: ${formatMs(worstP75)})`,
        "font-weight: bold; color: #ef4444;"
      );
    }

    const typeSummary = {};
    for (const [type, b] of Object.entries(byEventType)) {
      typeSummary[type] = {
        count: b.count,
        p75Ms: Math.round(p75(b.durations)),
        inputDelayMs: Math.round(p75(b.inputDelays)),
        processingMs: Math.round(p75(b.processingTimes)),
        presentationMs: Math.round(p75(b.presentationDelays)),
      };
    }
    console.groupEnd();

    const BOTTLENECK_FIXES = {
      "Input Delay": "break up the long tasks that block the main thread (scheduler.yield(), setTimeout)",
      Processing: "optimize the event handlers or debounce them",
      Presentation: "reduce the DOM changes after the handler and avoid layout thrashing",
    };

    const items = types.map((type) => {
      const b = byEventType[type];
      return {
        type,
        count: b.count,
        p75Ms: Math.round(p75(b.durations)),
        inputDelayMs: Math.round(p75(b.inputDelays)),
        processingMs: Math.round(p75(b.processingTimes)),
        presentationMs: Math.round(p75(b.presentationDelays)),
        rating: valueToRating(p75(b.durations)),
      };
    });

    const issues = types
      .filter((type) => valueToRating(p75(byEventType[type].durations)) !== "good")
      .map((type) => {
        const b = byEventType[type];
        const phases = [
          { name: "Input Delay", value: p75(b.inputDelays) },
          { name: "Processing", value: p75(b.processingTimes) },
          { name: "Presentation", value: p75(b.presentationDelays) },
        ];
        const bottleneck = phases.reduce((a, c) => (a.value > c.value ? a : c));
        const rating = valueToRating(p75(b.durations));
        return {
          severity: rating === "poor" ? "error" : "warning",
          message: `${type} P75 is ${Math.round(p75(b.durations))}ms (${rating}). Bottleneck: ${bottleneck.name}. Fix: ${BOTTLENECK_FIXES[bottleneck.name]}.`,
        };
      });

    return {
      script: "Input-Latency-Breakdown",
      status: "ok",
      count: types.length,
      details: { eventTypes: typeSummary },
      items,
      issues,
    };
  };

  console.log(
    "%c⌨️ Input Latency Breakdown Active",
    "font-weight: bold; font-size: 14px;"
  );
  console.log("   Interact with the page (click, type, etc.).");
  console.log(
    "   Call %cgetInputLatencyBreakdown()%c for the aggregated report.",
    "font-family: monospace; background: #f3f4f6; padding: 2px 4px;",
    ""
  );

  return {
    script: "Input-Latency-Breakdown",
    status: "tracking",
    message: "Tracking input latency by event type. Interact with the page then call getInputLatencyBreakdown().",
    getDataFn: "getInputLatencyBreakdown",
  };
})();

Understanding the results

Each event type prints a single line with its P75 values across all three phases, followed by a distribution bar:

🟡 click (12 interactions) P75: 280ms Input Delay: 45ms Processing: 28ms Presentation: 207ms ██████▓▓▓▓░░░░░░░░░░░░░░░░░░░░░░░░░░ █ Input Delay (16%) ▓ Processing (10%) ░ Presentation (74%) ⚠️ Bottleneck: Presentation — reduce DOM changes or avoid layout thrashing after the handler

All values are P75, the same percentile INP uses, so they reflect typical behavior rather than outliers.

See the grouping

Add interactions of three event types and watch how the P75 of each phase builds up per type, and why a single slow outlier does not change the picture:

Add interactions one at a time or in a batch, and compare which phase dominates in each event type. Open demo in a new tab ↗

Bottleneck identification

BottleneckLikely causeFix
Input DelayLong tasks run before the eventscheduler.yield(), task splitting
ProcessingSlow event handlersOptimize handlers, debounce rapid events
PresentationExpensive render after handlerReduce DOM changes, avoid layout thrashing

How this differs from interactions

SnippetFocus
InteractionsPer-interaction breakdown, real-time, with optimization hints per event
Input Latency BreakdownP75 by event type, reveals systematic patterns across many interactions

Use both together: Interactions to catch individual slow events as they happen, and getInputLatencyBreakdown() after several interactions to identify which event type is systematically problematic.

Browser support

FeatureChromeEdgeFirefoxSafari
PerformanceEventTiming (opens in a new tab) 76 79 89 26.2
PerformanceEventTiming.interactionId (opens in a new tab) 96 96 144 26.2
PerformanceObserver (opens in a new tab) 52 79 57 11
All of the above 96 96 144 26.2

Source: MDN browser compatibility data (opens in a new tab), version 8.1.4.

Further reading

Last updated on
MIT 2026 © Joan León | @nucliweb