diff --git a/ultralytics/__init__.py b/ultralytics/__init__.py
index d1648f70..30e238b7 100644
--- a/ultralytics/__init__.py
+++ b/ultralytics/__init__.py
@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = '8.0.143'
+__version__ = '8.0.144'
 
 from ultralytics.hub import start
 from ultralytics.models import RTDETR, SAM, YOLO
diff --git a/ultralytics/models/sam/model.py b/ultralytics/models/sam/model.py
index b941f7bf..44b32689 100644
--- a/ultralytics/models/sam/model.py
+++ b/ultralytics/models/sam/model.py
@@ -29,7 +29,7 @@ class SAM(Model):
         overrides = dict(conf=0.25, task='segment', mode='predict', imgsz=1024)
         kwargs.update(overrides)
         prompts = dict(bboxes=bboxes, points=points, labels=labels)
-        super().predict(source, stream, prompts=prompts, **kwargs)
+        return super().predict(source, stream, prompts=prompts, **kwargs)
 
     def __call__(self, source=None, stream=False, bboxes=None, points=None, labels=None, **kwargs):
         """Calls the 'predict' function with given arguments to perform object detection."""
diff --git a/ultralytics/models/sam/predict.py b/ultralytics/models/sam/predict.py
index ebd072a7..396b3be3 100644
--- a/ultralytics/models/sam/predict.py
+++ b/ultralytics/models/sam/predict.py
@@ -294,7 +294,7 @@ class Predictor(BasePredictor):
 
     def setup_model(self, model, verbose=True):
         """Set up YOLO model with specified thresholds and device."""
-        device = select_device(self.args.device)
+        device = select_device(self.args.device, verbose=verbose)
         if model is None:
             model = build_sam(self.args.model)
         model.eval()