diff --git a/python/examples/fit_a_line/benchmark.py b/python/examples/fit_a_line/benchmark.py
new file mode 100644
index 0000000000000000000000000000000000000000..75c499ddb0af9b29dc7ed381ef4921df2109b9db
--- /dev/null
+++ b/python/examples/fit_a_line/benchmark.py
@@ -0,0 +1,35 @@
+from paddle_serving_client import Client
+from paddle_serving_client.utils import MultiThreadRunner
+from paddle_serving_client.utils import benchmark_args
+import time
+import paddle
+import sys
+import requests
+
+args = benchmark_args()
+
+def single_func(idx, resource):
+    if args.request == "rpc":
+        client = Client()
+        client.load_client_config(args.model)
+        client.connect([args.endpoint])
+        train_reader = paddle.batch(paddle.reader.shuffle(
+            paddle.dataset.uci_housing.train(), buf_size=500), batch_size=1)
+        start = time.time()
+        for data in train_reader():
+            fetch_map = client.predict(feed={"x": data[0][0]}, fetch=["price"])
+        end = time.time()
+        return [[end - start]]
+    elif args.request == "http":
+        train_reader = paddle.batch(paddle.reader.shuffle(
+            paddle.dataset.uci_housing.train(), buf_size=500), batch_size=1)
+        start = time.time()
+        for data in train_reader():
+            r = requests.post('http://{}/uci/prediction'.format(args.endpoint),
+                              data = {"x": data[0]})
+        end = time.time()
+        return [[end - start]]
+
+multi_thread_runner = MultiThreadRunner()
+result = multi_thread_runner.run(single_func, args.thread, {})
+print(result)