diff --git a/unstructured_inference/models/table_postprocess.py b/unstructured_inference/models/table_postprocess.py
index 741277f8..5f3ddb6e 100644
--- a/unstructured_inference/models/table_postprocess.py
+++ b/unstructured_inference/models/table_postprocess.py
@@ -364,16 +364,41 @@ def nms(objects, match_criteria="object2_overlap", match_threshold=0.05, keep_hi
     objects = sort_objects_by_score(objects, reverse=keep_higher)
 
     num_objects = len(objects)
-    suppression = [False for obj in objects]
+    suppression = [False] * num_objects
+
+    # Precompute bboxes and areas to avoid constructing Rect objects in the inner loop.
+    bboxes = [obj["bbox"] for obj in objects]
+    areas = []
+    for bbox in bboxes:
+        w = bbox[2] - bbox[0]
+        h = bbox[3] - bbox[1]
+        a = w * h
+        areas.append(a if a > 0 else 0.0)
+
 
     for object2_num in range(1, num_objects):
-        object2_rect = Rect(objects[object2_num]["bbox"])
-        object2_area = object2_rect.get_area()
+        x2_min, y2_min, x2_max, y2_max = bboxes[object2_num]
+        object2_area = areas[object2_num]
         for object1_num in range(object2_num):
             if not suppression[object1_num]:
-                object1_rect = Rect(objects[object1_num]["bbox"])
-                object1_area = object1_rect.get_area()
-                intersect_area = object1_rect.intersect(object2_rect).get_area()
+                x1_min, y1_min, x1_max, y1_max = bboxes[object1_num]
+                object1_area = areas[object1_num]
+
+                # Replicate Rect.intersect behavior:
+                # If object1_area == 0, then intersect returns object2 (so intersection area = object2_area)
+                if object1_area == 0.0:
+                    intersect_area = object2_area
+                else:
+                    inter_w = min(x1_max, x2_max) - max(x1_min, x2_min)
+                    if inter_w <= 0:
+                        intersect_area = 0.0
+                    else:
+                        inter_h = min(y1_max, y2_max) - max(y1_min, y2_min)
+                        if inter_h <= 0:
+                            intersect_area = 0.0
+                        else:
+                            intersect_area = inter_w * inter_h
+
                 try:
                     if match_criteria == "object1_overlap":
                         metric = intersect_area / object1_area