feat: add benchmarking infrastructure for CRITICAL-003

- Add BENCHMARKING_MODE flag and detection timing collection
- Add printBenchmarkStats() and resetBenchmarkStats() functions
- Enhanced logging to track MULTI vs SINGLE preprocessing performance
- Automatic stats reporting every 10 detections
- Ready to benchmark current multi-processing performance

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

app/src/main/java/com/quillstudios/pokegoalshelper/YOLOOnnxDetector.kt

@@ -39,6 +39,9 @@ class YOLOOnnxDetector(private val context: Context) {
         var DEBUG_CLASS_FILTER: String? = null // Set to class name to show only that class
         var SHOW_ALL_CONFIDENCES = false // Show all detections with their confidences
         
+        // Benchmarking for CRITICAL-003
+        var BENCHMARKING_MODE = true // Enable detailed performance logging
+        private val detectionTimes = mutableListOf<Long>()
         
         fun setCoordinateMode(mode: String) {
             COORD_TRANSFORM_MODE = mode
@@ -52,6 +55,26 @@ class YOLOOnnxDetector(private val context: Context) {
             Log.i(TAG, "📊 Show all confidences: $SHOW_ALL_CONFIDENCES")
         }
         
+        fun printBenchmarkStats() {
+            if (detectionTimes.isNotEmpty()) {
+                val avg = detectionTimes.average()
+                val min = detectionTimes.minOrNull() ?: 0L
+                val max = detectionTimes.maxOrNull() ?: 0L
+                val count = detectionTimes.size
+                Log.i(TAG, "📈 BENCHMARK STATS (${if (ENABLE_MULTI_PREPROCESSING) "MULTI" else "SINGLE"}-PROCESSING):")
+                Log.i(TAG, "   Count: $count detections")
+                Log.i(TAG, "   Average: ${String.format("%.1f", avg)}ms")
+                Log.i(TAG, "   Min: ${min}ms")
+                Log.i(TAG, "   Max: ${max}ms")
+                Log.i(TAG, "   Total: ${detectionTimes.sum()}ms")
+            }
+        }
+        
+        fun resetBenchmarkStats() {
+            detectionTimes.clear()
+            Log.i(TAG, "📊 Benchmark stats reset")
+        }
+        
         // Preprocessing enhancement techniques
         private const val ENABLE_CONTRAST_ENHANCEMENT = true
         private const val ENABLE_SHARPENING = true
@@ -372,6 +395,19 @@ class YOLOOnnxDetector(private val context: Context) {
             val finalDetections = mergeAndFilterDetections(allDetections, inputMat.cols(), inputMat.rows())
             
             val totalTime = System.currentTimeMillis() - startTime
+            
+            // Record benchmark data
+            if (BENCHMARKING_MODE) {
+                detectionTimes.add(totalTime)
+                val preprocessingType = if (ENABLE_MULTI_PREPROCESSING) "MULTI" else "SINGLE"
+                Log.i(TAG, "📊 BENCHMARK: $preprocessingType-processing took ${totalTime}ms (${detectionTimes.size} samples)")
+                
+                // Print stats every 10 detections
+                if (detectionTimes.size % 10 == 0) {
+                    printBenchmarkStats()
+                }
+            }
+            
             Log.i(TAG, "✅ Enhanced ONNX detection complete: ${finalDetections.size} objects in ${totalTime}ms")
             
             return finalDetections