diff --git a/docs/en/guides/nvidia-jetson.md b/docs/en/guides/nvidia-jetson.md
index 1af1ec71..1a42b786 100644
--- a/docs/en/guides/nvidia-jetson.md
+++ b/docs/en/guides/nvidia-jetson.md
@@ -574,7 +574,7 @@ To reproduce the above Ultralytics benchmarks on all export [formats](../modes/e
         model = YOLO("yolo11n.pt")
 
         # Benchmark YOLO11n speed and accuracy on the COCO8 dataset for all all export formats
-        results = model.benchmarks(data="coco8.yaml", imgsz=640)
+        results = model.benchmark(data="coco8.yaml", imgsz=640)
         ```
 
     === "CLI"
diff --git a/docs/en/guides/raspberry-pi.md b/docs/en/guides/raspberry-pi.md
index 5e173db2..4268287f 100644
--- a/docs/en/guides/raspberry-pi.md
+++ b/docs/en/guides/raspberry-pi.md
@@ -201,7 +201,7 @@ To reproduce the above Ultralytics benchmarks on all [export formats](../modes/e
         model = YOLO("yolo11n.pt")
 
         # Benchmark YOLO11n speed and accuracy on the COCO8 dataset for all all export formats
-        results = model.benchmarks(data="coco8.yaml", imgsz=640)
+        results = model.benchmark(data="coco8.yaml", imgsz=640)
         ```
 
     === "CLI"
diff --git a/docs/en/integrations/openvino.md b/docs/en/integrations/openvino.md
index 9bd45cb5..fe1c5a89 100644
--- a/docs/en/integrations/openvino.md
+++ b/docs/en/integrations/openvino.md
@@ -352,7 +352,7 @@ To reproduce the Ultralytics benchmarks above on all export [formats](../modes/e
         model = YOLO("yolov8n.pt")
 
         # Benchmark YOLOv8n speed and accuracy on the COCO8 dataset for all export formats
-        results = model.benchmarks(data="coco8.yaml")
+        results = model.benchmark(data="coco8.yaml")
         ```
 
     === "CLI"
@@ -466,7 +466,7 @@ Yes, you can benchmark YOLOv8 models in various formats including PyTorch, Torch
         model = YOLO("yolov8n.pt")
 
         # Benchmark YOLOv8n speed and [accuracy](https://www.ultralytics.com/glossary/accuracy) on the COCO8 dataset for all export formats
-        results = model.benchmarks(data="coco8.yaml")
+        results = model.benchmark(data="coco8.yaml")
         ```
 
     === "CLI"
diff --git a/ultralytics/solutions/streamlit_inference.py b/ultralytics/solutions/streamlit_inference.py
index 926bfbc7..bc452f53 100644
--- a/ultralytics/solutions/streamlit_inference.py
+++ b/ultralytics/solutions/streamlit_inference.py
@@ -150,7 +150,7 @@ class Inference:
             while cap.isOpened():
                 success, frame = cap.read()
                 if not success:
-                    st.warning("Failed to read frame from webcam. Please make sure the webcam is connected properly.")
+                    self.st.warning("Failed to read frame from webcam. Please verify the webcam is connected properly.")
                     break
 
                 prev_time = time.time()  # Store initial time for FPS calculation