diff --git a/tests/ignite/metrics/test_cohen_kappa.py b/tests/ignite/metrics/test_cohen_kappa.py
index beb25585dc75..1649c21668e4 100644
--- a/tests/ignite/metrics/test_cohen_kappa.py
+++ b/tests/ignite/metrics/test_cohen_kappa.py
@@ -85,9 +85,11 @@ def test_data_binary(request):
 
 @pytest.mark.parametrize("n_times", range(5))
 @pytest.mark.parametrize("weights", [None, "linear", "quadratic"])
-def test_binary_input(n_times, weights, test_data_binary):
+def test_binary_input(n_times, weights, test_data_binary, available_device):
     y_pred, y, batch_size = test_data_binary
-    ck = CohenKappa(weights)
+    ck = CohenKappa(weights=weights, device=available_device)
+    assert ck._device == torch.device(available_device)
+
     ck.reset()
     if batch_size > 1:
         n_iters = y.shape[0] // batch_size + 1
@@ -135,7 +137,7 @@ def test_data_integration_binary(request):
 
 @pytest.mark.parametrize("n_times", range(5))
 @pytest.mark.parametrize("weights", [None, "linear", "quadratic"])
-def test_integration_binary_input(n_times, weights, test_data_integration_binary):
+def test_integration_binary_input(n_times, weights, test_data_integration_binary, available_device):
     y_pred, y, batch_size = test_data_integration_binary
 
     def update_fn(engine, batch):
@@ -146,7 +148,9 @@ def update_fn(engine, batch):
 
     engine = Engine(update_fn)
 
-    ck_metric = CohenKappa(weights=weights)
+    ck_metric = CohenKappa(weights=weights, device=available_device)
+    assert ck_metric._device == torch.device(available_device)
+
     ck_metric.attach(engine, "ck")
 
     np_y = y.numpy()