diff --git a/python/examples/pipeline/imagenet/benchmark.py b/python/examples/pipeline/imagenet/benchmark.py
index 22c1ce873f2db2d866a96ff9a68ffce3bd5b98f5..10078994047abab5e9790a1b32d9692c89400ec6 100644
--- a/python/examples/pipeline/imagenet/benchmark.py
+++ b/python/examples/pipeline/imagenet/benchmark.py
@@ -32,6 +32,8 @@ def gen_yml(device, gpu_id):
     if device == "gpu":
         config["op"]["imagenet"]["local_service_conf"]["device_type"] = 1
         config["op"]["imagenet"]["local_service_conf"]["devices"] = gpu_id
+    else:
+        config["op"]["imagenet"]["local_service_conf"]["device_type"] = 0
     with open("config2.yml", "w") as fout: 
         yaml.dump(config, fout, default_flow_style=False)
 
@@ -91,7 +93,10 @@ if __name__ == "__main__":
         mode = sys.argv[2] # brpc/  local predictor
         thread = int(sys.argv[3])
         device = sys.argv[4]
-        gpu_id = sys.argv[5]
+        if device == "gpu":
+            gpu_id = sys.argv[5]
+        else:
+            gpu_id = None
         gen_yml(device, gpu_id)
     elif sys.argv[1] == "run":
         mode = sys.argv[2] # http/ rpc
diff --git a/python/examples/pipeline/imagenet/benchmark.sh b/python/examples/pipeline/imagenet/benchmark.sh
index 572c029ee624189ee8cc34f559354129e56dd2f6..4c008b4f6b627e934b176adcc07fcb3e8421476b 100644
--- a/python/examples/pipeline/imagenet/benchmark.sh
+++ b/python/examples/pipeline/imagenet/benchmark.sh
@@ -1,19 +1,24 @@
 export FLAGS_profile_pipeline=1
 alias python3="python3.7"
 modelname="imagenet"
+use_gpu=0
 gpu_id="0"
 benchmark_config_filename="benchmark_config.yaml"
 
 # HTTP
 ps -ef | grep web_service | awk '{print $2}' | xargs kill -9 
 sleep 3
-python3 benchmark.py yaml local_predictor 1 gpu $gpu_id 
+if [ $use_gpu -eq 1 ]; then
+  python3 benchmark.py yaml local_predictor 1 gpu $gpu_id
+else
+  python3 benchmark.py yaml local_predictor 1 cpu
+fi
 rm -rf profile_log_$modelname
 for thread_num in 1
 do
   for batch_size in 1
   do
-    echo "#----imagenet thread num: $thread_num batch size: $batch_size mode:http ----" >>profile_log_$modelname
+    echo "#----imagenet thread num: $thread_num batch size: $batch_size mode:http use_gpu:$use_gpu----" >>profile_log_$modelname
     rm -rf PipelineServingLogs
     rm -rf cpu_utilization.py
     python3 resnet50_web_service.py >web.log 2>&1 &
@@ -25,7 +30,7 @@ do
     python3 cpu_utilization.py >>profile_log_$modelname
     python3 -m paddle_serving_server_gpu.profiler >>profile_log_$modelname
     ps -ef | grep web_service | awk '{print $2}' | xargs kill -9
-   python3 benchmark.py dump benchmark.log benchmark.tmp
+    python3 benchmark.py dump benchmark.log benchmark.tmp
     mv benchmark.tmp benchmark.log
     awk 'BEGIN {max = 0} {if(NR>1){if ($modelname > max) max=$modelname}} END {print "GPU_MEM:", max}' gpu_use.log >> profile_log_$modelname
     awk 'BEGIN {max = 0} {if(NR>1){if ($modelname > max) max=$modelname}} END {print "GPU_UTIL:", max}' gpu_utilization.log >> profile_log_$modelname