diff --git a/tests/ignite/metrics/test_average_precision.py b/tests/ignite/metrics/test_average_precision.py
index b84f578111e5..aca1cd7474b2 100644
--- a/tests/ignite/metrics/test_average_precision.py
+++ b/tests/ignite/metrics/test_average_precision.py
@@ -82,9 +82,9 @@ def test_data_binary_and_multilabel(request):
 
 
 @pytest.mark.parametrize("n_times", range(5))
-def test_binary_and_multilabel_inputs(n_times, test_data_binary_and_multilabel):
+def test_binary_and_multilabel_inputs(n_times, available_device, test_data_binary_and_multilabel):
     y_pred, y, batch_size = test_data_binary_and_multilabel
-    ap = AveragePrecision()
+    ap = AveragePrecision(device=available_device)
     ap.reset()
     if batch_size > 1:
         n_iters = y.shape[0] // batch_size + 1
@@ -115,7 +115,9 @@ def test_data_integration_binary_and_multilabel(request):
 
 
 @pytest.mark.parametrize("n_times", range(5))
-def test_integration_binary_and_mulitlabel_inputs(n_times, test_data_integration_binary_and_multilabel):
+def test_integration_binary_and_mulitlabel_inputs(
+    n_times, available_device, test_data_integration_binary_and_multilabel
+):
     y_pred, y, batch_size = test_data_integration_binary_and_multilabel
 
     def update_fn(engine, batch):
@@ -126,7 +128,7 @@ def update_fn(engine, batch):
 
     engine = Engine(update_fn)
 
-    ap_metric = AveragePrecision()
+    ap_metric = AveragePrecision(device=available_device)
     ap_metric.attach(engine, "ap")
 
     np_y = y.numpy()