diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index f0de04608f..84864ccdd3 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -74,19 +74,19 @@ jobs:
           uv pip list
       - name: Benchmark DetectionModel
         shell: bash
-        run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}.pt' imgsz=160 verbose=0.218
+        run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}.pt' imgsz=160 verbose=0.216
       - name: Benchmark ClassificationModel
         shell: bash
         run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-cls.pt' imgsz=160 verbose=0.249
       - name: Benchmark YOLOWorld DetectionModel
         shell: bash
-        run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/yolov8s-worldv2.pt' imgsz=160 verbose=0.337
+        run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/yolov8s-worldv2.pt' imgsz=160 verbose=0.335
       - name: Benchmark SegmentationModel
         shell: bash
-        run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-seg.pt' imgsz=160 verbose=0.230
+        run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-seg.pt' imgsz=160 verbose=0.229
       - name: Benchmark PoseModel
         shell: bash
-        run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-pose.pt' imgsz=160 verbose=0.194
+        run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-pose.pt' imgsz=160 verbose=0.185
       - name: Benchmark OBBModel
         shell: bash
         run: coverage run -a --source=ultralytics -m ultralytics.cfg.__init__ benchmark model='path with spaces/${{ matrix.model }}-obb.pt' imgsz=160 verbose=0.372
@@ -345,15 +345,15 @@ jobs:
           yolo checks
           uv pip list
       - name: Benchmark DetectionModel
-        run: python -m ultralytics.cfg.__init__ benchmark model='yolo26n.pt' imgsz=160 verbose=0.218
+        run: python -m ultralytics.cfg.__init__ benchmark model='yolo26n.pt' imgsz=160 verbose=0.216
       - name: Benchmark ClassificationModel
         run: python -m ultralytics.cfg.__init__ benchmark model='yolo26n-cls.pt' imgsz=160 verbose=0.249
       - name: Benchmark YOLOWorld DetectionModel
-        run: python -m ultralytics.cfg.__init__ benchmark model='yolov8s-worldv2.pt' imgsz=160 verbose=0.337
+        run: python -m ultralytics.cfg.__init__ benchmark model='yolov8s-worldv2.pt' imgsz=160 verbose=0.335
       - name: Benchmark SegmentationModel
-        run: python -m ultralytics.cfg.__init__ benchmark model='yolo26n-seg.pt' imgsz=160 verbose=0.230
+        run: python -m ultralytics.cfg.__init__ benchmark model='yolo26n-seg.pt' imgsz=160 verbose=0.229
       - name: Benchmark PoseModel
-        run: python -m ultralytics.cfg.__init__ benchmark model='yolo26n-pose.pt' imgsz=160 verbose=0.194
+        run: python -m ultralytics.cfg.__init__ benchmark model='yolo26n-pose.pt' imgsz=160 verbose=0.185
       - name: Benchmark OBBModel
         run: python -m ultralytics.cfg.__init__ benchmark model='yolo26n-obb.pt' imgsz=160 verbose=0.372
       - name: Benchmark Summary
diff --git a/docs/mkdocs_github_authors.yaml b/docs/mkdocs_github_authors.yaml
index d27aca9292..8a1b1f530b 100644
--- a/docs/mkdocs_github_authors.yaml
+++ b/docs/mkdocs_github_authors.yaml
@@ -217,6 +217,9 @@ davis.justin@mssm.org:
 esat@ultralytics.com:
   avatar: https://avatars.githubusercontent.com/u/43647848?v=4
   username: artest08
+faruk.gmstss@gmail.com:
+  avatar: null
+  username: null
 fatih@ultralytics.com:
   avatar: https://avatars.githubusercontent.com/u/34196005?v=4
   username: fcakyon
diff --git a/ultralytics/utils/metrics.py b/ultralytics/utils/metrics.py
index 6eb77570a4..2c790f77b0 100644
--- a/ultralytics/utils/metrics.py
+++ b/ultralytics/utils/metrics.py
@@ -728,8 +728,8 @@ def compute_ap(recall: list[float], precision: list[float]) -> tuple[float, np.n
         mrec (np.ndarray): Modified recall curve with sentinel values added at the beginning and end.
     """
     # Append sentinel values to beginning and end
-    mrec = np.concatenate(([0.0], recall, [1.0]))
-    mpre = np.concatenate(([1.0], precision, [0.0]))
+    mrec = np.concatenate(([0.0], recall, [recall[-1] if len(recall) else 1.0], [1.0]))
+    mpre = np.concatenate(([1.0], precision, [0.0], [0.0]))
 
     # Compute the precision envelope
     mpre = np.flip(np.maximum.accumulate(np.flip(mpre)))