ultralytics 8.0.46 TFLite and Benchmarks updates (#1141)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/yolo/engine/predictor.py

@@ -178,7 +178,12 @@ class BasePredictor:
             self.run_callbacks('on_predict_postprocess_end')
 
             # visualize, save, write results
-            for i in range(len(im)):
+            n = len(im)
+            for i in range(n):
+                self.results[i].speed = {
+                    'preprocess': self.dt[0].dt * 1E3 / n,
+                    'inference': self.dt[1].dt * 1E3 / n,
+                    'postprocess': self.dt[2].dt * 1E3 / n}
                 p, im0 = (path[i], im0s[i].copy()) if self.source_type.webcam or self.source_type.from_img \
                     else (path, im0s.copy())
                 p = Path(p)