diff --git a/tests/torch/ptq/test_fast_bias_correction.py b/tests/torch/ptq/test_fast_bias_correction.py
index 7f5639aaeba..e5d3b937376 100644
--- a/tests/torch/ptq/test_fast_bias_correction.py
+++ b/tests/torch/ptq/test_fast_bias_correction.py
@@ -11,6 +11,7 @@
 
 from typing import List
 
+import pytest
 import torch
 
 from nncf.common.factory import NNCFGraphFactory
@@ -61,6 +62,7 @@ def check_bias(model: NNCFNetwork, ref_bias: list):
         raise ValueError("Not found node with bias")
 
 
+@pytest.mark.skipif(not torch.cuda.is_available(), reason="Skipping for CPU-only setups")
 class TestTorchCudaFBCAlgorithm(TestTorchFBCAlgorithm):
     @staticmethod
     def list_to_backend_type(data: List) -> torch.Tensor:
diff --git a/tests/torch/test_tensor.py b/tests/torch/test_tensor.py
index eb4d907022b..35402c44891 100644
--- a/tests/torch/test_tensor.py
+++ b/tests/torch/test_tensor.py
@@ -22,11 +22,10 @@ def to_tensor(x):
         return torch.tensor(x)
 
 
+@pytest.mark.skipif(not torch.cuda.is_available(), reason="Skipping for CPU-only setups")
 class TestCudaPTNNCFTensorOperators(TemplateTestNNCFTensorOperators):
     @staticmethod
     def to_tensor(x):
-        if not torch.cuda.is_available():
-            pytest.skip("Skipping for CPU-only setups")
         return torch.tensor(x).cuda()
 
     def test_device(self):