diff --git a/python/examples/bert/benchmark_batch.py b/python/examples/bert/benchmark_batch.py
index 872799e64ea599554e42264c37ab5f574c0acb13..265521d484259b0e6ea2b182dbf61e2a5cf43b8d 100644
--- a/python/examples/bert/benchmark_batch.py
+++ b/python/examples/bert/benchmark_batch.py
@@ -57,8 +57,7 @@ def single_func(idx, resource):
                         os.getpid(),
                         int(round(b_start * 1000000)),
                         int(round(b_end * 1000000))))
-                result = client.batch_predict(
-                    feed_batch=feed_batch, fetch=fetch)
+                result = client.predict(feed_batch=feed_batch, fetch=fetch)
             else:
                 print("unsupport batch size {}".format(args.batch_size))
 
diff --git a/python/examples/criteo_ctr/benchmark_batch.py b/python/examples/criteo_ctr/benchmark_batch.py
index 47b63a6ade0c21bdc82a5c67d65b39ffc614e06c..ab67507355d0eba187d47ec9577eb5a3eda5dc46 100644
--- a/python/examples/criteo_ctr/benchmark_batch.py
+++ b/python/examples/criteo_ctr/benchmark_batch.py
@@ -55,8 +55,7 @@ def single_func(idx, resource):
                     for i in range(1, 27):
                         feed_dict["sparse_{}".format(i - 1)] = data[0][i]
                     feed_batch.append(feed_dict)
-                result = client.batch_predict(
-                    feed_batch=feed_batch, fetch=fetch)
+                result = client.predict(feed_batch=feed_batch, fetch=fetch)
             else:
                 print("unsupport batch size {}".format(args.batch_size))
 
diff --git a/python/examples/imagenet/benchmark_batch.py b/python/examples/imagenet/benchmark_batch.py
index 7477100971d1a098bb075c94f75490c16b53b862..915544d4f6f9d4636b14f4be92ad75ba08013389 100644
--- a/python/examples/imagenet/benchmark_batch.py
+++ b/python/examples/imagenet/benchmark_batch.py
@@ -50,8 +50,7 @@ def single_func(idx, resource):
                     img = reader.process_image(img_list[i])
                     img = img.reshape(-1)
                     feed_batch.append({"image": img})
-                result = client.batch_predict(
-                    feed_batch=feed_batch, fetch=fetch)
+                result = client.predict(feed_batch=feed_batch, fetch=fetch)
             else:
                 print("unsupport batch size {}".format(args.batch_size))
 
diff --git a/python/examples/imdb/benchmark_batch.py b/python/examples/imdb/benchmark_batch.py
index 302d63352ca20bf7e455ad1a66ead22f63dbe846..3ac52ec5472ff97f5d273dc230494223f3a71907 100644
--- a/python/examples/imdb/benchmark_batch.py
+++ b/python/examples/imdb/benchmark_batch.py
@@ -42,7 +42,7 @@ def single_func(idx, resource):
                 for bi in range(args.batch_size):
                     word_ids, label = imdb_dataset.get_words_and_label(line)
                     feed_batch.append({"words": word_ids})
-                result = client.batch_predict(
+                result = client.predict(
                     feed_batch=feed_batch, fetch=["prediction"])
             else:
                 print("unsupport batch size {}".format(args.batch_size))