diff --git a/dpbench/benchmarks/pca/pca_dpnp.py b/dpbench/benchmarks/pca/pca_dpnp.py
index cbf51dd5..f163f6ea 100644
--- a/dpbench/benchmarks/pca/pca_dpnp.py
+++ b/dpbench/benchmarks/pca/pca_dpnp.py
@@ -10,7 +10,7 @@ def pca(data, dims_rescaled_data=2):
     data -= data.mean(axis=0)
 
     # calculate the covariance matrix
-    v = np.cov(data, rowvar=False)
+    v = np.cov(data, rowvar=False, dtype=data.dtype)
 
     # calculate eigenvectors & eigenvalues of the covariance matrix
     evalues, evectors = np.linalg.eigh(v)
diff --git a/dpbench/benchmarks/pca/pca_numpy.py b/dpbench/benchmarks/pca/pca_numpy.py
index 7c180a7a..6735216d 100644
--- a/dpbench/benchmarks/pca/pca_numpy.py
+++ b/dpbench/benchmarks/pca/pca_numpy.py
@@ -10,7 +10,7 @@ def pca(data, dims_rescaled_data=2):
     data -= data.mean(axis=0)
 
     # calculate the covariance matrix
-    v = np.cov(data, rowvar=False)
+    v = np.cov(data, rowvar=False, dtype=data.dtype)
 
     # calculate eigenvectors & eigenvalues of the covariance matrix
     evalues, evectors = np.linalg.eigh(v)