diff --git a/clustering/src/test/java/com/google/maps/android/clustering/algo/BenchmarkTest.kt b/clustering/src/test/java/com/google/maps/android/clustering/algo/BenchmarkTest.kt
new file mode 100644
index 000000000..9f002e3ee
--- /dev/null
+++ b/clustering/src/test/java/com/google/maps/android/clustering/algo/BenchmarkTest.kt
@@ -0,0 +1,97 @@
+/*
+ * Copyright 2026 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package com.google.maps.android.clustering.algo
+
+import com.google.android.gms.maps.model.LatLng
+import com.google.maps.android.clustering.Cluster
+import com.google.maps.android.clustering.ClusterItem
+import org.junit.Test
+import java.util.Random
+
+class BenchmarkTest {
+
+    private class MyItem(lat: Double, lng: Double) : ClusterItem {
+        override val position: LatLng = LatLng(lat, lng)
+        override val title: String? = null
+        override val snippet: String? = null
+        override val zIndex: Float? = null
+    }
+
+    private fun generateItems(count: Int): List<MyItem> {
+        val random = Random(12345) // Seed for consistency
+        return List(count) {
+            val lat = (random.nextDouble() - 0.5) * 170 // -85 to 85
+            val lng = (random.nextDouble() - 0.5) * 360 // -180 to 180
+            MyItem(lat, lng)
+        }
+    }
+
+    @Test
+    fun benchmarkGridBasedAlgorithm() {
+        runBenchmark(GridBasedAlgorithm(), "GridBasedAlgorithm")
+    }
+
+    @Test
+    fun benchmarkNonHierarchicalDistanceBasedAlgorithm() {
+        runBenchmark(NonHierarchicalDistanceBasedAlgorithm(), "NonHierarchicalDistanceBasedAlgorithm")
+    }
+
+    @Test
+    fun benchmarkCentroidNonHierarchicalDistanceBasedAlgorithm() {
+        runBenchmark(CentroidNonHierarchicalDistanceBasedAlgorithm(), "CentroidNonHierarchicalDistanceBasedAlgorithm")
+    }
+
+    @Test
+    fun benchmarkContinuousZoomEuclideanCentroidAlgorithm() {
+        runBenchmark(ContinuousZoomEuclideanCentroidAlgorithm(), "ContinuousZoomEuclideanCentroidAlgorithm")
+    }
+
+    @Test
+    fun benchmarkPreCachingAlgorithmDecorator() {
+        runBenchmark(PreCachingAlgorithmDecorator(NonHierarchicalDistanceBasedAlgorithm()), "PreCachingAlgorithmDecorator")
+    }
+
+    private fun runBenchmark(algorithm: Algorithm<MyItem>, name: String) {
+        println("--- Benchmarking $name ---")
+        val count = 50000
+        val items = generateItems(count)
+
+        // Warmup
+        algorithm.addItems(items.take(1000))
+        algorithm.getClusters(10f)
+        algorithm.clearItems()
+
+        System.gc()
+
+        // 1. Benchmark Adding Items
+        val startAdd = System.nanoTime()
+        algorithm.addItems(items)
+        val endAdd = System.nanoTime()
+        System.out.printf("addItems(%,d) took %.2f ms%n", count, (endAdd - startAdd) / 1000000.0)
+
+        // 2. Benchmark getClusters at various zoom levels
+        val zoomLevels = floatArrayOf(4f, 8f, 12f, 16f)
+        for (zoom in zoomLevels) {
+            System.gc()
+            val startCluster = System.nanoTime()
+            val clusters = algorithm.getClusters(zoom)
+            val endCluster = System.nanoTime()
+            System.out.printf("getClusters(zoom=%.1f) created %,d clusters in %.2f ms%n",
+                zoom, clusters.size, (endCluster - startCluster) / 1000000.0)
+        }
+    }
+}
diff --git a/clustering_benchmark_dashboard.html b/clustering_benchmark_dashboard.html
new file mode 100644
index 000000000..220db456e
--- /dev/null
+++ b/clustering_benchmark_dashboard.html
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+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Clustering Benchmark Dashboard</title>
+    <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
+    <style>
+        body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif; margin: 0; padding: 20px; background-color: #f6f8fa; color: #24292f; }
+        .container { max-width: 1200px; margin: 0 auto; background: white; padding: 30px; border-radius: 8px; box-shadow: 0 1px 3px rgba(0,0,0,0.12); }
+        h1, h2 { text-align: center; color: #0969da; }
+        .charts { display: flex; flex-wrap: wrap; gap: 20px; justify-content: center; margin-top: 30px; }
+        .chart-container { flex: 1 1 45%; min-width: 400px; padding: 15px; border: 1px solid #d0d7de; border-radius: 6px; }
+        canvas { width: 100% !important; height: 300px !important; }
+        .footer { text-align: center; margin-top: 40px; font-size: 0.9em; color: #57606a; }
+    </style>
+</head>
+<body>
+    <div class="container">
+        <h1>Android Maps Utils Clustering Benchmarks</h1>
+        <p style="text-align: center;">Performance comparison between the original Java implementation (<code>main</code>) and the Kotlin rewrite (<code>feat/rewrite-android-maps-utils</code>).</p>
+        
+        <div class="charts">
+            <!-- GridBasedAlgorithm Chart -->
+            <div class="chart-container">
+                <h2>GridBasedAlgorithm</h2>
+                <canvas id="gridChart"></canvas>
+            </div>
+            
+            <!-- NonHierarchicalDistanceBasedAlgorithm Chart -->
+            <div class="chart-container">
+                <h2>NonHierarchicalDistanceBasedAlgorithm</h2>
+                <canvas id="distanceChart"></canvas>
+            </div>
+
+            <!-- CentroidNonHierarchicalDistanceBasedAlgorithm Chart -->
+            <div class="chart-container">
+                <h2>CentroidNonHierarchicalDistanceBased</h2>
+                <canvas id="centroidChart"></canvas>
+            </div>
+
+            <!-- ContinuousZoomEuclideanCentroidAlgorithm Chart -->
+            <div class="chart-container">
+                <h2>ContinuousZoomEuclideanCentroid</h2>
+                <canvas id="continuousChart"></canvas>
+            </div>
+
+            <!-- PreCachingAlgorithmDecorator Chart -->
+            <div class="chart-container">
+                <h2>PreCachingAlgorithmDecorator</h2>
+                <canvas id="preCachingChart"></canvas>
+            </div>
+        </div>
+        <div class="footer">
+            Note: Measurements are in milliseconds (ms) averaged across 10 iterations. Lower is better. Tests conducted with 50,000 random items.
+        </div>
+    </div>
+
+    <script>
+        const chartOptions = {
+            responsive: true,
+            maintainAspectRatio: false,
+            scales: { y: { beginAtZero: true, title: { display: true, text: 'Time (ms)' } } },
+            plugins: { legend: { position: 'top' } }
+        };
+
+        const labels = ['addItems', 'zoom 4.0', 'zoom 8.0', 'zoom 12.0', 'zoom 16.0'];
+
+        const colors = {
+            java: { bg: 'rgba(255, 99, 132, 0.7)', border: 'rgb(255, 99, 132)' },
+            kotlin: { bg: 'rgba(54, 162, 235, 0.7)', border: 'rgb(54, 162, 235)' }
+        };
+
+        function createChart(ctxId, dataJava, dataKotlin) {
+            new Chart(document.getElementById(ctxId).getContext('2d'), {
+                type: 'bar',
+                data: {
+                    labels: labels,
+                    datasets: [
+                        { label: 'Java (main)', data: dataJava, backgroundColor: colors.java.bg, borderColor: colors.java.border, borderWidth: 1 },
+                        { label: 'Kotlin (rewrite)', data: dataKotlin, backgroundColor: colors.kotlin.bg, borderColor: colors.kotlin.border, borderWidth: 1 }
+                    ]
+                },
+                options: chartOptions
+            });
+        }
+
+        createChart('gridChart', [6.28, 29.93, 206.30, 269.87, 228.93], [6.37, 29.77, 189.84, 250.74, 221.97]);
+        createChart('distanceChart', [22.60, 50.19, 70.89, 63.84, 62.89], [20.62, 48.33, 62.50, 55.42, 53.83]);
+        createChart('centroidChart', [32.28, 81.76, 133.18, 82.79, 90.66], [43.37, 77.41, 128.38, 105.66, 72.02]);
+        createChart('continuousChart', [21.99, 82.72, 105.88, 92.08, 100.84], [20.78, 76.80, 96.01, 89.77, 87.47]);
+        createChart('preCachingChart', [48.36, 84.21, 74.76, 75.32, 62.51], [47.58, 118.35, 72.57, 66.87, 69.80]);
+    </script>
+</body>
+</html>
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