diff --git a/lenskit/tests/test_matrix_rows.py b/lenskit/tests/test_matrix_rows.py
index 14ec04d10..b6438fef5 100644
--- a/lenskit/tests/test_matrix_rows.py
+++ b/lenskit/tests/test_matrix_rows.py
@@ -30,15 +30,20 @@ def test_sparse_mean_center(tensor: torch.Tensor):
     coo = tensor.to_sparse_coo()
     rows = coo.indices()[0, :].numpy()
     counts = np.zeros(nr, dtype=np.int32)
-    sums = np.zeros(nr, dtype=np.float64)
+    if tensor.dtype == torch.float64:
+        sums = np.zeros(nr, dtype=np.float64)
+    else:
+        sums = np.zeros(nr, dtype=np.float64)
+
     np.add.at(counts, rows, 1)
     np.add.at(sums, rows, coo.values().numpy())
     tgt_means = sums / counts
     tgt_means = np.nan_to_num(tgt_means, nan=0)
+
     nt, means = normalize_sparse_rows(tensor, "center")
     assert means.shape == torch.Size([nr])
 
-    assert means.numpy() == approx(tgt_means, nan_ok=True, rel=5.0e-5)
+    assert means.numpy() == approx(tgt_means, nan_ok=True, rel=1.0e-5)
 
     for i in range(nr):
         tr = tensor[i].values().numpy()