diff --git a/python/examples/pipeline/PaddleClas/DarkNet53/benchmark.py b/python/examples/pipeline/PaddleClas/DarkNet53/benchmark.py
index 2433b0132728dc96627254f9231949a74a551c28..d643b90f5b7ac6ef6892bb83e7dfb20b650df49b 100644
--- a/python/examples/pipeline/PaddleClas/DarkNet53/benchmark.py
+++ b/python/examples/pipeline/PaddleClas/DarkNet53/benchmark.py
@@ -83,7 +83,7 @@ def multithread_http(thread, batch_size):
     print("Total cost: {}s".format(total_cost))
     print("Each thread cost: {}s. ".format(avg_cost))
     print("Total count: {}. ".format(total_number))
-    print("AVG QPS: {} samples/s".format(batch_size * total_number /
+    print("AVG_QPS: {} samples/s".format(batch_size * total_number /
                                          total_cost))
     show_latency(result[1])
 
diff --git a/python/examples/pipeline/PaddleClas/DarkNet53/benchmark_cfg.yaml b/python/examples/pipeline/PaddleClas/DarkNet53/benchmark_cfg.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f4d354e3a6ad919bd1219be20bd27ac45cc85c0f
--- /dev/null
+++ b/python/examples/pipeline/PaddleClas/DarkNet53/benchmark_cfg.yaml
@@ -0,0 +1,29 @@
+cuda_version: "10.1"
+cudnn_version: "7.6"
+trt_version: "6.0"
+python_version: "3.7"
+gcc_version: "8.2"
+paddle_version: "2.0.1"
+
+cpu: "Intel(R) Xeon(R) Gold 5117 CPU @ 2.00GHz X12"
+gpu: "T4"
+xpu: "None"
+api: ""
+owner: "cuicheng01"
+
+model_name: "imagenet"
+model_type: "static"
+model_source: "PaddleClas"
+model_url: ""
+
+batch_size: 1
+num_of_samples: 1000
+input_shape: "3,224,224"
+
+runtime_device: "cpu"
+ir_optim: true
+enable_memory_optim: true
+enable_tensorrt: false
+precision: "fp32"
+enable_mkldnn: false
+cpu_math_library_num_threads: ""