diff --git a/script/app-mlperf-inference-mlcommons-python/customize.py b/script/app-mlperf-inference-mlcommons-python/customize.py
index b56896d6c..eba8bdd35 100644
--- a/script/app-mlperf-inference-mlcommons-python/customize.py
+++ b/script/app-mlperf-inference-mlcommons-python/customize.py
@@ -54,7 +54,7 @@ def preprocess(i):
         else:
             env['CM_NUM_THREADS'] = env.get('CM_HOST_CPU_TOTAL_CORES', '1')
 
-    if env.get('CM_MLPERF_LOADGEN_MAX_BATCHSIZE','') != '' and not env.get('CM_MLPERF_MODEL_SKIP_BATCHING', False):
+    if env.get('CM_MLPERF_LOADGEN_MAX_BATCHSIZE','') != '' and str(env.get('CM_MLPERF_MODEL_SKIP_BATCHING', False)).lower() not in [ "true", "1", "yes"] :
         env['CM_MLPERF_LOADGEN_EXTRA_OPTIONS'] += " --max-batchsize " + str(env['CM_MLPERF_LOADGEN_MAX_BATCHSIZE'])
 
     if env.get('CM_MLPERF_LOADGEN_BATCH_SIZE','') != '':
@@ -318,6 +318,7 @@ def get_run_cmd_reference(os_info, env, scenario_extra_options, mode_extra_optio
             cmd += f" --num-workers {env['CM_MLPERF_INFERENCE_NUM_WORKERS']}"
 
         cmd = cmd.replace("--count", "--total-sample-count")
+        cmd = cmd.replace("--max-batchsize", "--batch-size")
     
     elif "mixtral-8x7b" in env['CM_MODEL']:
         env['RUN_DIR'] = os.path.join(env['CM_MLPERF_INFERENCE_SOURCE'], "language", "mixtral-8x7b")