diff --git a/python/tvm/relay/op/contrib/arm_compute_lib.py b/python/tvm/relay/op/contrib/arm_compute_lib.py
index 2c1845e868de..a78ad294b770 100644
--- a/python/tvm/relay/op/contrib/arm_compute_lib.py
+++ b/python/tvm/relay/op/contrib/arm_compute_lib.py
@@ -63,7 +63,7 @@ def partition_for_arm_compute_lib(mod, params=None):
         [
             transform.InferType(),
             transform.MergeComposite(arm_compute_lib_pattern_table()),
-            transform.AnnotateTarget("arm_compute_lib"),
+            transform.AnnotateTarget("arm_compute_lib", False),
             transform.PartitionGraph(),
         ]
     )
diff --git a/tests/python/contrib/test_arm_compute_lib/test_network.py b/tests/python/contrib/test_arm_compute_lib/test_network.py
index 4efae487f220..898446b32ed9 100644
--- a/tests/python/contrib/test_arm_compute_lib/test_network.py
+++ b/tests/python/contrib/test_arm_compute_lib/test_network.py
@@ -152,7 +152,32 @@ def get_model():
     )
 
 
+def test_squeezenet():
+    Device.load("test_config.json")
+
+    if skip_runtime_test():
+        return
+
+    import tvm.relay.testing.tf as tf_testing
+
+    device = Device()
+
+    def get_model():
+        model_path = tf_testing.get_workload_official(
+            "https://storage.googleapis.com/download.tensorflow.org/models/tflite/model_zoo/upload_20180427/squeezenet_2018_04_27.tgz",
+            "squeezenet.tflite",
+        )
+        inputs = {"Placeholder": ((1, 224, 224, 3), "float32")}
+        mod, params = _get_tflite_model(model_path, inputs_dict=inputs)
+        return mod, params, inputs
+
+    _build_and_run_network(
+        *get_model(), device=device, tvm_ops=10, acl_partitions=30, atol=8, rtol=0
+    )
+
+
 if __name__ == "__main__":
     test_vgg16()
     test_mobilenet()
     test_quantized_mobilenet()
+    test_squeezenet()