diff --git a/numba_dpex/tests/core/types/DpnpNdArray/test_models.py b/numba_dpex/tests/core/types/DpnpNdArray/test_models.py
index 79a1645950..93fd52cc5f 100644
--- a/numba_dpex/tests/core/types/DpnpNdArray/test_models.py
+++ b/numba_dpex/tests/core/types/DpnpNdArray/test_models.py
@@ -4,12 +4,14 @@
 
 from numba import types
 from numba.core.datamodel import default_manager, models
+from numba.core.registry import cpu_target
 
 from numba_dpex.core.datamodel.models import (
     DpnpNdArrayModel,
     USMArrayModel,
     dpex_data_model_manager,
 )
+from numba_dpex.core.descriptor import dpex_kernel_target
 from numba_dpex.core.types.dpnp_ndarray_type import DpnpNdArray
 
 
@@ -31,3 +33,22 @@ def test_dpnp_ndarray_Model():
     """
 
     assert issubclass(DpnpNdArrayModel, models.StructModel)
+
+
+def test_flattened_member_count():
+    """Test that the number of flattened member count matches the number of
+    flattened args generated by the CpuTarget's ArgPacker.
+    """
+
+    cputargetctx = cpu_target.target_context
+    kerneltargetctx = dpex_kernel_target.target_context
+    dpex_dmm = kerneltargetctx.data_model_manager
+
+    for ndim in range(4):
+        dty = DpnpNdArray(ndim)
+        argty_tuple = tuple([dty])
+        datamodel = dpex_dmm.lookup(dty)
+        num_flattened_args = datamodel.flattened_field_count
+        ap = cputargetctx.get_arg_packer(argty_tuple)
+
+        assert num_flattened_args == len(ap._be_args)
diff --git a/numba_dpex/tests/core/types/USMNdArray/test_models.py b/numba_dpex/tests/core/types/USMNdArray/test_models.py
new file mode 100644
index 0000000000..0586ed13ca
--- /dev/null
+++ b/numba_dpex/tests/core/types/USMNdArray/test_models.py
@@ -0,0 +1,27 @@
+# SPDX-FileCopyrightText: 2023 Intel Corporation
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from numba.core.registry import cpu_target
+
+from numba_dpex.core.descriptor import dpex_kernel_target
+from numba_dpex.core.types.usm_ndarray_type import USMNdArray
+
+
+def test_flattened_member_count():
+    """Test that the number of flattened member count matches the number of
+    flattened args generated by the CpuTarget's ArgPacker.
+    """
+
+    cputargetctx = cpu_target.target_context
+    kerneltargetctx = dpex_kernel_target.target_context
+    dpex_dmm = kerneltargetctx.data_model_manager
+
+    for ndim in range(4):
+        dty = USMNdArray(ndim)
+        argty_tuple = tuple([dty])
+        datamodel = dpex_dmm.lookup(dty)
+        num_flattened_args = datamodel.flattened_field_count
+        ap = cputargetctx.get_arg_packer(argty_tuple)
+
+        assert num_flattened_args == len(ap._be_args)
diff --git a/numba_dpex/tests/core/types/range_types/test_data_model.py b/numba_dpex/tests/core/types/range_types/test_data_model.py
index f4e585206b..bbdeba7f71 100644
--- a/numba_dpex/tests/core/types/range_types/test_data_model.py
+++ b/numba_dpex/tests/core/types/range_types/test_data_model.py
@@ -4,16 +4,19 @@
 
 import pytest
 from numba.core.datamodel import default_manager
+from numba.core.registry import cpu_target
 
 from numba_dpex.core.datamodel.models import (
     NdRangeModel,
     RangeModel,
     dpex_data_model_manager,
 )
+from numba_dpex.core.descriptor import dpex_kernel_target
 from numba_dpex.core.types.range_types import NdRangeType, RangeType
 
 rfields = ["ndim", "dim0", "dim1", "dim2"]
 ndrfields = ["ndim", "gdim0", "gdim1", "gdim2", "ldim0", "ldim1", "ldim2"]
+range_tys = [RangeType, NdRangeType]
 
 
 def test_datamodel_registration():
@@ -58,3 +61,23 @@ def test_ndrange_model_fields(field):
         dm.get_field_position(field)
     except:
         pytest.fail(f"Expected field {field} not present in NdRangeModel")
+
+
+@pytest.mark.parametrize("range_type", range_tys)
+def test_flattened_member_count(range_type):
+    """Test that the number of flattened member count matches the number of
+    flattened args generated by the CpuTarget's ArgPacker.
+    """
+
+    cputargetctx = cpu_target.target_context
+    kerneltargetctx = dpex_kernel_target.target_context
+    dpex_dmm = kerneltargetctx.data_model_manager
+
+    for ndim in range(1, 3):
+        dty = range_type(ndim)
+        argty_tuple = tuple([dty])
+        datamodel = dpex_dmm.lookup(dty)
+        num_flattened_args = datamodel.flattened_field_count
+        ap = cputargetctx.get_arg_packer(argty_tuple)
+
+        assert num_flattened_args == len(ap._be_args)