Add YOLO11 TensorRT quantization benchmark scripts

- Engine build scripts (FP16/INT8)
- Benchmark validation scripts
- Result parsing and analysis tools
- COCO dataset configuration

clean_test.bat

@@ -0,0 +1,40 @@
+@echo off
+echo ============================================
+echo Clean Build & Test: FP16 480p
+echo ============================================
+
+call conda activate yolo
+
+echo [1/4] Delete old engine and results...
+del /Q yolo11n_fp16_480.engine 2>nul
+del /Q fp16_480_results.txt 2>nul
+echo Done.
+
+echo.
+echo [2/4] Build FP16 480p (static, no dynamic shapes)...
+trtexec --onnx=yolo11n.onnx --saveEngine=yolo11n_fp16_480.engine --fp16 --workspace=4096 --noTF32
+echo Done.
+
+echo.
+echo [3/4] Test FP16 480p...
+yolo val model=yolo11n_fp16_480.engine data=coco.yaml imgsz=480 batch=1 device=0 classes=0,1,2,3,5,7 > fp16_480_results.txt 2>&1
+echo Done.
+
+echo.
+echo [4/4] Check results...
+python -c "
+import re
+with open('fp16_480_results.txt','r') as f:
+    content = f.read()
+if 'Error' in content or 'error' in content:
+    print('ERROR: Validation failed')
+else:
+    m = re.search(r'Speed:.*?([\d.]+)ms.*?([\d.]+)ms inference', content, re.DOTALL)
+    if m:
+        print(f'OK: {m.group(2)}ms inference')
+    else:
+        print('No speed data found')
+"
+echo.
+echo Done. Run: python parse_simple.py
+pause