diff --git a/byte_micro_perf/core/perf_engine.py b/byte_micro_perf/core/perf_engine.py
index 93968d44..aceba919 100644
--- a/byte_micro_perf/core/perf_engine.py
+++ b/byte_micro_perf/core/perf_engine.py
@@ -182,7 +182,7 @@ def parse_workload(workload):
 
 
 
-ConfigInstance = namedtuple("ConfigInstance", ["dtype", "tensor_shapes", "index"])
+ConfigInstance = namedtuple("ConfigInstance", ["dtype", "tensor_shapes", "index", "total"])
 ResultItem = namedtuple("ResultItem", ["config", "report"])
 
 
@@ -261,7 +261,7 @@ def start_engine(self) -> None:
         case_index = 0
         for dtype in dtype_list:
             for shape in shape_list:
-                test_list.append(ConfigInstance(dtype, shape, case_index))
+                test_list.append(ConfigInstance(dtype, shape, case_index + 1, len(dtype_list) * len(shape_list)))
                 case_index = case_index + 1
 
         try:
@@ -379,7 +379,6 @@ def perf_func(self, rank: int, *args):
 
                 test_dtype = test_instance.dtype
                 test_shape = test_instance.tensor_shapes
-                print(f"rank {rank}, {test_instance}")
 
                 """
                 input_shape could be:
@@ -399,6 +398,15 @@ def perf_func(self, rank: int, *args):
                 if reports and "Error" not in reports:
                     result_list.append(ResultItem(test_instance, reports))
 
+                    latency = reports.get("Avg latency(us)", 0)
+                    kernel_bw = reports.get("Kernel bandwidth(GB/s)", 0)
+                    bus_bw = reports.get("Bus bandwidth(GB/s)", 0)
+
+                    print(f"rank {rank}, {test_instance}, latency: {latency}\nkernel_bw: {kernel_bw}, bus_bw: {bus_bw}")
+                else:
+                    print(f"rank {rank}, {test_instance}, error")
+
+
             output_result_list = []
             if world_size > 1:
                 all_result_list = backend_instance.all_gather_object(result_list)
@@ -411,8 +419,6 @@ def perf_func(self, rank: int, *args):
             for test_instance in test_list:
                 test_dtype = test_instance.dtype
                 test_shape = test_instance.tensor_shapes
-                if rank == 0:
-                    print(f"rank {rank}, {test_instance}")
 
                 """
                 input_shape could be:
@@ -432,6 +438,15 @@ def perf_func(self, rank: int, *args):
                 if reports and "Error" not in reports:
                     result_list.append(ResultItem(test_instance, reports))
 
+                    latency = reports.get("Avg latency(us)", 0)
+                    kernel_bw = reports.get("Kernel bandwidth(GB/s)", 0)
+                    bus_bw = reports.get("Bus bandwidth(GB/s)", 0)
+                    if rank == 0:
+                        print(f"rank {rank}, {test_instance}, latency: {latency}\nkernel_bw: {kernel_bw}, bus_bw: {bus_bw}")
+                else:
+                    if rank == 0:
+                        print(f"rank {rank}, {test_instance}, error")
+
 
         # destroy dist
         if world_size > 1: