diff --git a/script/app-mlperf-inference-mlcommons-python/customize.py b/script/app-mlperf-inference-mlcommons-python/customize.py
index c048e8f3c..55e89b68a 100644
--- a/script/app-mlperf-inference-mlcommons-python/customize.py
+++ b/script/app-mlperf-inference-mlcommons-python/customize.py
@@ -250,6 +250,7 @@ def get_run_cmd_reference(
         env['OUTPUT_DIR'] = env['MLC_MLPERF_OUTPUT_DIR']
         if env.get('MLC_MLPERF_VISION_DATASET_OPTION', '') == '' and env.get(
                 'MLC_MLPERF_DEVICE') != "tpu":
+
             if os_info['platform'] == 'windows':
                 cmd = "python python/main.py --profile " + env['MLC_MODEL'] + "-" + env['MLC_MLPERF_BACKEND'] + \
                     " --model=\"" + env['MLC_ML_MODEL_FILE_WITH_PATH'] + '" --dataset-path="' + env['MLC_DATASET_PREPROCESSED_PATH'] + \
@@ -261,6 +262,8 @@ def get_run_cmd_reference(
                 cmd = "./run_local.sh " + env['MLC_MLPERF_BACKEND'] + ' ' + \
                     env['MLC_MODEL'] + ' ' + env['MLC_MLPERF_DEVICE'] + " --scenario " + env['MLC_MLPERF_LOADGEN_SCENARIO'] + " " + env['MLC_MLPERF_LOADGEN_EXTRA_OPTIONS'] + \
                     scenario_extra_options + mode_extra_options + dataset_options
+                if env['MLC_MODEL'] in ["resnet50"]:
+                    cmd += f" --max-batchsize {env.get('MLC_MLPERF_LOADGEN_MAX_BATCHSIZE', '128')} "
             return cmd, env['RUN_DIR']
 
         if env['MLC_MLPERF_BACKEND'] == "ncnn":