diff --git a/python/tvm/relay/op/contrib/arm_compute_lib.py b/python/tvm/relay/op/contrib/arm_compute_lib.py
index d63cd8c83a93..6e66939ee2f0 100644
--- a/python/tvm/relay/op/contrib/arm_compute_lib.py
+++ b/python/tvm/relay/op/contrib/arm_compute_lib.py
@@ -285,7 +285,7 @@ def check_concatenate(expr):
             return False
         attrs, type_args = expr.attrs, expr.type_args
         for idx in range(len(type_args[0].fields)):
-            if type_args[0].fields[idx].dtype not in ["float32", "uint8"]:
+            if type_args[0].fields[idx].dtype not in ["float32", "uint8", "int8"]:
                 return False
         # ACL concatenate only supports maximum 4 dimensions input tensor
         if attrs.axis not in [-4, -3, -2, -1, 0, 1, 2, 3]:
diff --git a/tests/python/contrib/test_arm_compute_lib/test_concatenate.py b/tests/python/contrib/test_arm_compute_lib/test_concatenate.py
index deba26a0db56..55072f37c2bf 100644
--- a/tests/python/contrib/test_arm_compute_lib/test_concatenate.py
+++ b/tests/python/contrib/test_arm_compute_lib/test_concatenate.py
@@ -17,6 +17,7 @@
 """Arm Compute Library integration concatenate tests."""
 
 import numpy as np
+import pytest
 
 import tvm
 from tvm import relay
@@ -88,16 +89,9 @@ def _get_expected_codegen(input_shape_a, input_shape_b, input_shape_c, axis, dty
     return [input_a, input_b, input_c, node]
 
 
-def test_concatenate():
-    Device.load("test_config.json")
-
-    if skip_runtime_test():
-        return
-
-    device = Device()
-    np.random.seed(0)
-
-    for input_shape_a, input_shape_b, input_shape_c, axis, dtype in [
+@pytest.mark.parametrize(
+    "input_shape_a, input_shape_b, input_shape_c, axis, dtype",
+    [
         ([1, 234, 234, 256], [2, 234, 234, 256], [3, 234, 234, 256], 0, "float32"),
         ([1, 1, 234, 256], [1, 2, 234, 256], [1, 3, 234, 256], 1, "float32"),
         ([1, 234, 234, 1], [1, 234, 234, 2], [1, 234, 234, 3], -1, "float32"),
@@ -106,29 +100,43 @@ def test_concatenate():
         ([1, 1, 234, 256], [1, 2, 234, 256], [1, 3, 234, 256], 1, "uint8"),
         ([1, 234, 234, 1], [1, 234, 234, 2], [1, 234, 234, 3], -1, "uint8"),
         ([1, 234, 234, 256], [2, 234, 234, 256], [3, 234, 234, 256], -4, "uint8"),
-    ]:
-        outputs = []
-        inputs = {
-            "a": tvm.nd.array(np.random.randn(*input_shape_a).astype(dtype)),
-            "b": tvm.nd.array(np.random.randn(*input_shape_b).astype(dtype)),
-            "c": tvm.nd.array(np.random.randn(*input_shape_c).astype(dtype)),
-        }
-        func = _get_model(
-            inputs["a"].shape, inputs["b"].shape, inputs["c"].shape, axis, dtype, iter(inputs)
+        ([1, 234, 234, 256], [2, 234, 234, 256], [3, 234, 234, 256], 0, "int8"),
+        ([1, 1, 234, 256], [1, 2, 234, 256], [1, 3, 234, 256], 1, "int8"),
+        ([1, 234, 234, 1], [1, 234, 234, 2], [1, 234, 234, 3], -1, "int8"),
+        ([1, 234, 234, 256], [2, 234, 234, 256], [3, 234, 234, 256], -4, "int8"),
+    ],
+)
+def test_concatenate(input_shape_a, input_shape_b, input_shape_c, axis, dtype):
+    Device.load("test_config.json")
+
+    if skip_runtime_test():
+        return
+
+    device = Device()
+    np.random.seed(0)
+
+    outputs = []
+    inputs = {
+        "a": tvm.nd.array(np.random.randn(*input_shape_a).astype(dtype)),
+        "b": tvm.nd.array(np.random.randn(*input_shape_b).astype(dtype)),
+        "c": tvm.nd.array(np.random.randn(*input_shape_c).astype(dtype)),
+    }
+    func = _get_model(
+        inputs["a"].shape, inputs["b"].shape, inputs["c"].shape, axis, dtype, iter(inputs)
+    )
+    for acl in [False, True]:
+        outputs.append(
+            build_and_run(func, inputs, 1, None, device, enable_acl=acl, disabled_ops=[])[0]
         )
-        for acl in [False, True]:
-            outputs.append(
-                build_and_run(func, inputs, 1, None, device, enable_acl=acl, disabled_ops=[])[0]
-            )
-
-        config = {
-            "input_shape_a": input_shape_a,
-            "input_shape_b": input_shape_b,
-            "input_shape_c": input_shape_c,
-            "axis": axis,
-            "dtype": dtype,
-        }
-        verify(outputs, atol=1e-7, rtol=1e-7, config=config)
+
+    config = {
+        "input_shape_a": input_shape_a,
+        "input_shape_b": input_shape_b,
+        "input_shape_c": input_shape_c,
+        "axis": axis,
+        "dtype": dtype,
+    }
+    verify(outputs, atol=1e-7, rtol=1e-7, config=config)
 
 
 def test_codegen_concatenate():