diff --git a/monai/data/box_utils.py b/monai/data/box_utils.py
index b0c41b5d7d..2f4a1426a9 100644
--- a/monai/data/box_utils.py
+++ b/monai/data/box_utils.py
@@ -1200,7 +1200,7 @@ def batched_nms(
     # from different classes do not overlap
     max_coordinate = boxes_t.max()
     offsets = labels_t.to(boxes_t) * (max_coordinate + 1)
-    boxes_for_nms = boxes + offsets[:, None]
+    boxes_for_nms = boxes_t + offsets[:, None]
     keep = non_max_suppression(boxes_for_nms, scores_t, nms_thresh, max_proposals, box_overlap_metric)
 
     # convert tensor back to numpy if needed
diff --git a/tests/data/test_box_utils.py b/tests/data/test_box_utils.py
index 05778f691b..30136d4f1b 100644
--- a/tests/data/test_box_utils.py
+++ b/tests/data/test_box_utils.py
@@ -23,6 +23,7 @@
     CornerCornerModeTypeB,
     CornerCornerModeTypeC,
     CornerSizeMode,
+    batched_nms,
     box_area,
     box_centers,
     box_giou,
@@ -269,5 +270,15 @@ def test_integer_truncation_bug(self):
         self.assertGreater(iou[0, 0], 0.0, "IoU should not be truncated to 0")
 
 
+class TestBatchedNms(unittest.TestCase):
+    @parameterized.expand(TEST_NDARRAYS)
+    def test_batched_nms_backend(self, p):
+        boxes = p(np.array([[0, 0, 10, 10], [1, 1, 11, 11], [100, 100, 110, 110]], dtype=np.float32))
+        scores = p(np.array([0.9, 0.8, 0.7], dtype=np.float32))
+        labels = p(np.array([0, 0, 1]))
+        keep = batched_nms(boxes, scores, labels, nms_thresh=0.5)
+        assert_allclose(keep, [0, 2], type_test=False)
+
+
 if __name__ == "__main__":
     unittest.main()