diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet_rt.py b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet_rt.py
index ecd88cace572382f83957f4b08dffe22e1db6f78..3d81546a5cab4b502f890ee81abc31504d39c863 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet_rt.py
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/TrainResNet_rt.py
@@ -229,8 +229,12 @@ def Train(epochs=100):
 
                 # Training and calculating cost
                 resnet_model.set_is_training(True)
+                minibatch_start = time.time()
                 temp_cost, _ = sess.run([cost, train], feed_dict={images: minibatch_X, labels: minibatch_Y})
                 minibatch_cost += np.sum(temp_cost)
+                minibath_time = time.time() - minibatch_start
+                if batch_index <= 5:
+                    print("minibatch time: {}".format(minibath_time))
 
                 # tensorboard
                 if(tensorboard_on) and (batch_index % TensorBoard_refresh == 0):
diff --git a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_RT2_performance_1p.sh b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_RT2_performance_1p.sh
index 31cd52203451e8d1919c8e2e52e30db591839255..c0310c3bd57dd005dcc13b2e853ccecc7adb0e84 100644
--- a/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_RT2_performance_1p.sh
+++ b/TensorFlow/built-in/cv/image_classification/Face-ResNet50_ID1372_for_TensorFlow/test/train_RT2_performance_1p.sh
@@ -74,6 +74,8 @@ FPS=`awk 'BEGIN{printf "%.2f\n",'${batch_size}'*'${steps_per_s}'}'`
 #打印，不需要修改
 echo "Final Performance images/sec : $FPS"
 
+#输出CompileTime
+CompileTime=`grep "minibatch time:" ${cur_path}/test/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log |head -n 1|awk '{sum+=$3} END {print sum}'`
 
 #输出训练精度,需要模型审视修改
 train_accuracy="None"
@@ -114,4 +116,5 @@ echo "ActualFPS = ${ActualFPS}"             >> $cur_path/test/output/$ASCEND_DEV
 echo "TrainingTime = ${TrainingTime}"       >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}"    >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}"           >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}"        >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
+echo "E2ETrainingTime = ${e2e_time}"        >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "CompileTime = ${CompileTime}"         >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file