diff --git a/script/app-mlperf-inference-mlcommons-python/meta.yaml b/script/app-mlperf-inference-mlcommons-python/meta.yaml
index 011e46b99..0eadfa0ff 100644
--- a/script/app-mlperf-inference-mlcommons-python/meta.yaml
+++ b/script/app-mlperf-inference-mlcommons-python/meta.yaml
@@ -885,6 +885,7 @@ variations:
       ENQUEUE_NUM_THREADS: 2
       MLC_MLPERF_LOADGEN_MAX_BATCHSIZE: 16
       MLC_MLPERF_VISION_DATASET_OPTION: imagenet_pytorch
+      MLC_ML_MODEL_STARTING_WEIGHTS_FILENAME: <<<MLC_MLPERF_CUSTOM_MODEL_PATH>>>
 
 
   tvm-onnx:
diff --git a/script/app-mlperf-inference/customize.py b/script/app-mlperf-inference/customize.py
index 34bd3e046..ab421f248 100644
--- a/script/app-mlperf-inference/customize.py
+++ b/script/app-mlperf-inference/customize.py
@@ -254,7 +254,7 @@ def postprocess(i):
         measurements['starting_weights_filename'] = env.get(
             'MLC_ML_MODEL_STARTING_WEIGHTS_FILENAME', env.get(
                 'MLC_ML_MODEL_FILE', measurements.get(
-                    'starting_weights_filename', '')))
+                    'starting_weights_filename', 'TBD')))
         measurements['retraining'] = env.get(
             'MLC_ML_MODEL_RETRAINING', measurements.get(
                 'retraining', 'no'))
diff --git a/script/app-mlperf-inference/meta.yaml b/script/app-mlperf-inference/meta.yaml
index 867b5e6c8..846936234 100644
--- a/script/app-mlperf-inference/meta.yaml
+++ b/script/app-mlperf-inference/meta.yaml
@@ -27,7 +27,7 @@ default_env:
   MLC_MLPERF_RUN_STYLE: test
   MLC_TEST_QUERY_COUNT: '10'
   MLC_MLPERF_QUANTIZATION: off
-  MLC_GET_PLATFORM_DETAILS: yes
+  MLC_GET_PLATFORM_DETAILS: no
 
 env:
   MLC_MLPERF_PRINT_SUMMARY: "no"