diff --git a/profiler/compare_tools/comparator/op_comparator.py b/profiler/compare_tools/comparator/op_comparator.py
index f299463fe55660fb3334f6de792d887c44837e29..4b552ac25816c2d8c3aa8037bc600a4f7955da28 100644
--- a/profiler/compare_tools/comparator/op_comparator.py
+++ b/profiler/compare_tools/comparator/op_comparator.py
@@ -127,3 +127,5 @@ class OpComparator:
             match_list.reverse()
             for data in match_list:
                 op_deque.append(data)
+
+        return drill_down_result
diff --git a/profiler/compare_tools/performance_compare.py b/profiler/compare_tools/performance_compare.py
index 46f7160341d0f44df078490516f6aeda87f58672..3a7f3913097a18924f7275fa58a28e79ef63df33 100644
--- a/profiler/compare_tools/performance_compare.py
+++ b/profiler/compare_tools/performance_compare.py
@@ -19,9 +19,9 @@ def performance_compare(args):
     if ArgsManager().base_profiling_type == Constant.NPU:
         npu_path = ArgsManager().base_profiling.file_path
     elif ArgsManager().base_profiling_type == Constant.GPU:
-        npu_path = ArgsManager().base_profiling.file_path
+        gpu_path = ArgsManager().base_profiling.file_path
     if ArgsManager().comparison_profiling_type == Constant.NPU:
-        gpu_path = ArgsManager().comparison_profiling.file_path
+        npu_path = ArgsManager().comparison_profiling.file_path
     elif ArgsManager().comparison_profiling_type == Constant.GPU:
         gpu_path = ArgsManager().comparison_profiling.file_path
     prof_main(npu_path, gpu_path)
@@ -49,9 +49,13 @@ def main():
     args = parser.parse_args()
 
     ArgsManager().init(args)
-    performance_compare(args)
+    try:
+        performance_compare(args)
+    except Exception:
+        print("profiling analyze failed.")
     dir_path = args.output_path if args.output_path else "./"
-    file_name = "performance_comparison_result_{}.xlsx".format(time.strftime("%Y%m%d%H%M%S", time.localtime(time.time())))
+    file_name = "performance_comparison_result_{}.xlsx".format(
+        time.strftime("%Y%m%d%H%M%S", time.localtime(time.time())))
     result_file_path = os.path.join(dir_path, file_name)
 
     ComparisonGenerator(args).create_excel(result_file_path)
diff --git a/profiler/performance_analyse/npu_parser.py b/profiler/performance_analyse/npu_parser.py
index 333d8a2682b05846e294e1112af92a91acfb6a5c..375dd85680ac07c6c537490395ec62ac4488aae0 100644
--- a/profiler/performance_analyse/npu_parser.py
+++ b/profiler/performance_analyse/npu_parser.py
@@ -48,7 +48,7 @@ class NpuProfilingParser:
         ai_core_res = defaultdict(float)
         for dic in data:
             self.get_ts_by_task_type(dic, event_wait_sqe, ai_core_dict, event_wait_sqe_res, ai_core_res)
-            if ('name' in dic) and (dic.get('name') == 'compute_time'):
+            if ('name' in dic) and (dic.get('name') == 'Compute'):
                 ts_flag = True
                 ts = dic.get('ts')
                 dur = dic.get('dur')
diff --git a/profiler/performance_analyse/profiling_parse.py b/profiler/performance_analyse/profiling_parse.py
index 6c69af674f5d2035d1dc667c0b0a5c3c83a4dc97..c45c73e9e27b6b4b4c9aae222499404b3ad3eac4 100644
--- a/profiler/performance_analyse/profiling_parse.py
+++ b/profiler/performance_analyse/profiling_parse.py
@@ -44,7 +44,7 @@ def show_table(gpu_profiling_info, npu_profiling_info):
                   f'{gpu_profiling_info.compute_time:.3f}s', f'{gpu_profiling_info.communication_not_overlapped: .3f}s',
                   f'{gpu_profiling_info.scheduling_time:.3f}', f'{gpu_profiling_info.scheduling_ratio:.2%}',
                   f'{gpu_profiling_info.memory_used:.2f}G', f'{gpu_profiling_info.e2e_time:.3f}s'])
-    table.add_row(['当前现状', f'{npu_profiling_info.cube_time:.3f}s', f'{npu_profiling_info.vector_time:.3f}s',
+    table.add_row(['NPU现状', f'{npu_profiling_info.cube_time:.3f}s', f'{npu_profiling_info.vector_time:.3f}s',
                   f'{npu_profiling_info.compute_time:.3f}s', f'{npu_profiling_info.communication_not_overlapped: .3f}s',
                   f'{npu_profiling_info.scheduling_time:.3f}', f'{npu_profiling_info.scheduling_ratio:.2%}',
                   f'{npu_profiling_info.memory_used:.2f}G', f'{npu_profiling_info.e2e_time:.3f}s'])