diff --git a/debug/accuracy_tools/api_accuracy_checker/compare/algorithm.py b/debug/accuracy_tools/api_accuracy_checker/compare/algorithm.py
index 17243a7415881198c1841afa119cc242292bfdc1..5f0ac6a5c5978166ec8d685fc13617f7c25dabae 100644
--- a/debug/accuracy_tools/api_accuracy_checker/compare/algorithm.py
+++ b/debug/accuracy_tools/api_accuracy_checker/compare/algorithm.py
@@ -54,15 +54,12 @@ def cosine_sim(cpu_output, npu_output):
         return get_max_rel_err(n_value, b_value)
     if n_value.dtype == np.uint8:
         return compare_uint8_data(n_value, b_value)
-    n_max = np.max(np.abs(n_value))
-    b_max = np.max(np.abs(b_value))
+    n_max, b_max = np.max(np.abs(n_value)), np.max(np.abs(b_value))
     if n_max <= np.finfo(float).eps and b_max <= np.finfo(float).eps:
         return cos, True
-    elif n_max <= np.finfo(float).eps:
-        print_warn_log("All the data is Zero in npu dump data. Compare by relative error.")
+    elif n_max <= np.finfo(float).eps or b_max <= np.finfo(float).eps:
+        print_warn_log("All the data is Zero in either npu or bench dump data. Compare by relative error.")
         return get_max_rel_err(n_value, b_value)
-    elif b_max <= np.finfo(float).eps:
-        print_warn_log("All the data is Zero in bench dump data. Compare by relative error.")
     else:
         n_value = n_value.astype(float) / n_max
         b_value = b_value.astype(float) / b_max