diff --git a/official/benchmark/tfhub_memory_usage_benchmark.py b/official/benchmark/tfhub_memory_usage_benchmark.py
index 2c0a2fceef9..2dda28cfcf1 100644
--- a/official/benchmark/tfhub_memory_usage_benchmark.py
+++ b/official/benchmark/tfhub_memory_usage_benchmark.py
@@ -16,6 +16,7 @@
 
 Loads a SavedModel and records memory usage.
 """
+import functools
 import time
 
 from absl import flags
@@ -31,24 +32,31 @@ class TfHubMemoryUsageBenchmark(PerfZeroBenchmark):
   """A benchmark measuring memory usage for a given TF Hub SavedModel."""
 
   def __init__(self,
+               hub_model_handle_list=None,
                output_dir=None,
                default_flags=None,
                root_data_dir=None,
                **kwargs):
     super(TfHubMemoryUsageBenchmark, self).__init__(
         output_dir=output_dir, default_flags=default_flags, **kwargs)
-
-  def benchmark_memory_usage(self):
+    if hub_model_handle_list:
+      for hub_model_handle in hub_model_handle_list.split(';'):
+        setattr(
+            self, 'benchmark_' + hub_model_handle,
+            functools.partial(self.benchmark_memory_usage, hub_model_handle))
+
+  def benchmark_memory_usage(
+      self, hub_model_handle='https://tfhub.dev/google/nnlm-en-dim128/1'):
     start_time_sec = time.time()
-    self.load_model()
+    self.load_model(hub_model_handle)
     wall_time_sec = time.time() - start_time_sec
 
     metrics = []
     self.report_benchmark(iters=-1, wall_time=wall_time_sec, metrics=metrics)
 
-  def load_model(self):
+  def load_model(self, hub_model_handle):
     """Loads a TF Hub module."""
-    hub.load('https://tfhub.dev/google/nnlm-en-dim128/1')
+    hub.load(hub_model_handle)
 
 
 if __name__ == '__main__':