diff --git a/examples/vision/faceid/insightface/python/infer_arcface.py b/examples/vision/faceid/insightface/python/infer_arcface.py
index a9846b4cc..a400bd32f 100644
--- a/examples/vision/faceid/insightface/python/infer_arcface.py
+++ b/examples/vision/faceid/insightface/python/infer_arcface.py
@@ -10,7 +10,7 @@ def cosine_similarity(a, b):
     mul_a = np.linalg.norm(a, ord=2)
     mul_b = np.linalg.norm(b, ord=2)
     mul_ab = np.dot(a, b)
-    return mul_ab / (np.sqrt(mul_a) * np.sqrt(mul_b))
+    return mul_ab / (mul_a * mul_b)
 
 
 def parse_arguments():
diff --git a/examples/vision/faceid/insightface/python/infer_cosface.py b/examples/vision/faceid/insightface/python/infer_cosface.py
index 7b45f7a40..267bff37d 100644
--- a/examples/vision/faceid/insightface/python/infer_cosface.py
+++ b/examples/vision/faceid/insightface/python/infer_cosface.py
@@ -10,7 +10,7 @@ def cosine_similarity(a, b):
     mul_a = np.linalg.norm(a, ord=2)
     mul_b = np.linalg.norm(b, ord=2)
     mul_ab = np.dot(a, b)
-    return mul_ab / (np.sqrt(mul_a) * np.sqrt(mul_b))
+    return mul_ab / (mul_a * mul_b)
 
 
 def parse_arguments():
diff --git a/examples/vision/faceid/insightface/python/infer_partial_fc.py b/examples/vision/faceid/insightface/python/infer_partial_fc.py
index b1b2f3bf1..2e503116f 100644
--- a/examples/vision/faceid/insightface/python/infer_partial_fc.py
+++ b/examples/vision/faceid/insightface/python/infer_partial_fc.py
@@ -10,7 +10,7 @@ def cosine_similarity(a, b):
     mul_a = np.linalg.norm(a, ord=2)
     mul_b = np.linalg.norm(b, ord=2)
     mul_ab = np.dot(a, b)
-    return mul_ab / (np.sqrt(mul_a) * np.sqrt(mul_b))
+    return mul_ab / (mul_a * mul_b)
 
 
 def parse_arguments():
diff --git a/examples/vision/faceid/insightface/python/infer_vpl.py b/examples/vision/faceid/insightface/python/infer_vpl.py
index 7618913f7..dad84d647 100644
--- a/examples/vision/faceid/insightface/python/infer_vpl.py
+++ b/examples/vision/faceid/insightface/python/infer_vpl.py
@@ -10,7 +10,7 @@ def cosine_similarity(a, b):
     mul_a = np.linalg.norm(a, ord=2)
     mul_b = np.linalg.norm(b, ord=2)
     mul_ab = np.dot(a, b)
-    return mul_ab / (np.sqrt(mul_a) * np.sqrt(mul_b))
+    return mul_ab / (mul_a * mul_b)
 
 
 def parse_arguments():