diff --git a/dpnp/backend/kernels/dpnp_krnl_common.cpp b/dpnp/backend/kernels/dpnp_krnl_common.cpp
index bf3102bd7cde..dd6c8119c1b8 100644
--- a/dpnp/backend/kernels/dpnp_krnl_common.cpp
+++ b/dpnp/backend/kernels/dpnp_krnl_common.cpp
@@ -851,17 +851,18 @@ DPCTLSyclEventRef dpnp_matmul_c(DPCTLSyclQueueRef q_ref,
                   std::is_same<_DataType, float>::value)
     {
         // using std::max for these ldx variables is required by math library
-        const std::int64_t lda =
-            std::max<size_t>(1UL, size_k); // First dimensions of array_1
-        const std::int64_t ldb =
+        const std::int64_t ld_array_2 =
             std::max<size_t>(1UL, size_n); // First dimensions of array_2
-        const std::int64_t ldc =
+        const std::int64_t ld_array_1 =
+            std::max<size_t>(1UL, size_k); // First dimensions of array_1
+        const std::int64_t ld_result =
             std::max<size_t>(1UL, size_n); // Fast dimensions of result
 
         event = mkl_blas::gemm(q, oneapi::mkl::transpose::nontrans,
                                oneapi::mkl::transpose::nontrans, size_n, size_m,
-                               size_k, _DataType(1), array_2, ldb, array_1, lda,
-                               _DataType(0), result, ldc, dep_events);
+                               size_k, _DataType(1), array_2, ld_array_2,
+                               array_1, ld_array_1, _DataType(0), result,
+                               ld_result, dep_events);
     }
     else {
         // input1: M x K