diff --git a/benchmark/ascend/resnet/config/resnet50_imagenet2012_Boost_config_128p.yaml b/benchmark/ascend/resnet/config/resnet50_imagenet2012_Boost_config_128p.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2593e5696801c4380a2533d790665d2bfaaca5d9
--- /dev/null
+++ b/benchmark/ascend/resnet/config/resnet50_imagenet2012_Boost_config_128p.yaml
@@ -0,0 +1,114 @@
+# Builtin Configurations(DO NOT CHANGE THESE CONFIGURATIONS unless you know exactly what you are doing)
+enable_modelarts: False
+# Url for modelarts
+data_url: ""
+train_url: ""
+checkpoint_url: ""
+# Path for local
+run_distribute: True
+enable_profiling: False
+data_path: "/data/resnet_tc/Imagenet2012/train"
+output_dir: "../outputs"
+load_path: "/cache/checkpoint_path/"
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
+
+# ==============================================================================
+# Training options
+optimizer: "LARS"
+infer_label: ""
+class_num: 1001
+batch_size: 96
+eval_batch_size: 125
+loss_scale: 1024
+momentum: 0.9
+weight_decay: 5.0e-05
+epoch_size: 49
+start_epoch: 0
+resume_ckpt: ""
+save_checkpoint: False
+save_checkpoint_epochs: 5
+keep_checkpoint_max: 10
+warmup_epochs: 9
+lr_decay_mode: "poly"
+use_label_smooth: True
+label_smooth_factor: 0.1
+lr_init: 0
+lr_max: 18.5
+lr_end: 0.0001
+lars_epsilon: 0.0
+lars_coefficient: 0.001
+
+net_name: "resnet50"
+dataset: "imagenet2012"
+device_num: 128
+pre_trained: ""
+run_eval: True
+eval_dataset_path: "/data/resnet_tc/Imagenet2012/val"
+parameter_server: False
+filter_weight: False
+save_best_ckpt: False
+eval_start_epoch: 4
+eval_interval: 4
+enable_cache: False
+cache_session_id: ""
+mode_name: "GRAPH"
+boost_mode: "O1"
+conv_init: "TruncatedNormal"
+dense_init: "TruncatedNormal"
+all_reduce_fusion_config:
+    - 85
+    - 160
+train_image_size: 192
+eval_image_size: 224
+max_device_memory: "30GB"
+
+# Export options
+device_id: 0
+width: 224
+height: 224
+file_name: "resnet50"
+file_format: "MINDIR"
+ckpt_file: ""
+network_dataset: "resnet50_imagenet2012"
+
+# Retrain options
+save_graphs: False
+save_graphs_path: "./graphs"
+has_trained_epoch: 0
+has_trained_step: 0
+
+# postprocess resnet inference
+result_path: ''
+label_path: ''
+
+# prediction
+img_path: ''
+
+# lite inference
+enable_predict: False
+enable_predict_lite_backend: False
+enable_predict_lite_mindir: False
+
+# lite mindir inference
+mindir_path: 'net.mindir'
+
+
+# # Help description for each configuration
+# enable_modelarts: "Whether training on modelarts, default: False"
+# data_url: "Dataset url for obs"
+# checkpoint_url: "The location of checkpoint for obs"
+# data_path: "Dataset path for local"
+# output_path: "Training output path for local"
+# load_path: "The location of checkpoint for obs"
+# device_target: "Target device type, available: [Ascend, GPU, CPU]"
+# enable_profiling: "Whether enable profiling while training, default: False"
+# num_classes: "Class for dataset"
+# batch_size: "Batch size for training and evaluation"
+# epoch_size: 37
+# checkpoint_path: "The location of the checkpoint file."
+# checkpoint_file_path: "The location of the checkpoint file."
+# save_graphs: "Whether save graphs during training, default: False."
+# save_graphs_path: "Path to save graphs."
+# img_path: "image file path."
diff --git a/benchmark/ascend/resnet/config/resnet50_imagenet2012_Boost_config_64p.yaml b/benchmark/ascend/resnet/config/resnet50_imagenet2012_Boost_config_64p.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2b09aba50a9bea0892171dc9f17e78e3ea0ab1a4
--- /dev/null
+++ b/benchmark/ascend/resnet/config/resnet50_imagenet2012_Boost_config_64p.yaml
@@ -0,0 +1,114 @@
+# Builtin Configurations(DO NOT CHANGE THESE CONFIGURATIONS unless you know exactly what you are doing)
+enable_modelarts: False
+# Url for modelarts
+data_url: ""
+train_url: ""
+checkpoint_url: ""
+# Path for local
+run_distribute: True
+enable_profiling: False
+data_path: "/data/resnet_tc/Imagenet2012/train"
+output_dir: "../outputs"
+load_path: "/cache/checkpoint_path/"
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
+
+# ==============================================================================
+# Training options
+optimizer: "LARS"
+infer_label: ""
+class_num: 1001
+batch_size: 96
+eval_batch_size: 125
+loss_scale: 1024
+momentum: 0.9
+weight_decay: 5.0e-05
+epoch_size: 42
+start_epoch: 0
+resume_ckpt: ""
+save_checkpoint: False
+save_checkpoint_epochs: 5
+keep_checkpoint_max: 10
+warmup_epochs: 5
+lr_decay_mode: "poly"
+use_label_smooth: True
+label_smooth_factor: 0.1
+lr_init: 0
+lr_max: 17.5
+lr_end: 0.0001
+lars_epsilon: 0.0
+lars_coefficient: 0.001
+
+net_name: "resnet50"
+dataset: "imagenet2012"
+device_num: 64
+pre_trained: ""
+run_eval: True
+eval_dataset_path: "/data/resnet_tc/Imagenet2012/val"
+parameter_server: False
+filter_weight: False
+save_best_ckpt: False
+eval_start_epoch: 4
+eval_interval: 4
+enable_cache: False
+cache_session_id: ""
+mode_name: "GRAPH"
+boost_mode: "O1"
+conv_init: "TruncatedNormal"
+dense_init: "TruncatedNormal"
+all_reduce_fusion_config:
+    - 85
+    - 160
+train_image_size: 192
+eval_image_size: 224
+max_device_memory: "30GB"
+
+# Export options
+device_id: 0
+width: 224
+height: 224
+file_name: "resnet50"
+file_format: "MINDIR"
+ckpt_file: ""
+network_dataset: "resnet50_imagenet2012"
+
+# Retrain options
+save_graphs: False
+save_graphs_path: "./graphs"
+has_trained_epoch: 0
+has_trained_step: 0
+
+# postprocess resnet inference
+result_path: ''
+label_path: ''
+
+# prediction
+img_path: ''
+
+# lite inference
+enable_predict: False
+enable_predict_lite_backend: False
+enable_predict_lite_mindir: False
+
+# lite mindir inference
+mindir_path: 'net.mindir'
+
+
+# # Help description for each configuration
+# enable_modelarts: "Whether training on modelarts, default: False"
+# data_url: "Dataset url for obs"
+# checkpoint_url: "The location of checkpoint for obs"
+# data_path: "Dataset path for local"
+# output_path: "Training output path for local"
+# load_path: "The location of checkpoint for obs"
+# device_target: "Target device type, available: [Ascend, GPU, CPU]"
+# enable_profiling: "Whether enable profiling while training, default: False"
+# num_classes: "Class for dataset"
+# batch_size: "Batch size for training and evaluation"
+# epoch_size: 37
+# checkpoint_path: "The location of the checkpoint file."
+# checkpoint_file_path: "The location of the checkpoint file."
+# save_graphs: "Whether save graphs during training, default: False."
+# save_graphs_path: "Path to save graphs."
+# img_path: "image file path."