diff --git a/python/test/unit/intel/test_mxfp_matmul.py b/python/test/unit/intel/test_mxfp_matmul.py
index e9de591541..a1b855fa00 100644
--- a/python/test/unit/intel/test_mxfp_matmul.py
+++ b/python/test/unit/intel/test_mxfp_matmul.py
@@ -36,9 +36,9 @@ def mxfp_matmul(  #
         a_scale, b_scale,  #
         M, N, K,  #
         stride_scale,  #
-        stride_am, stride_ak,  #
-        stride_bk, stride_bn,  #
-        stride_cm, stride_cn,  #
+        stride_am: tl.constexpr, stride_ak: tl.constexpr,  #
+        stride_bk: tl.constexpr, stride_bn: tl.constexpr,  #
+        stride_cm: tl.constexpr, stride_cn: tl.constexpr,  #
         DTYPE_A: tl.constexpr,  #
         DTYPE_B: tl.constexpr,  #
         BLOCK_M: tl.constexpr,  #
diff --git a/python/test/unit/language/test_matmul.py b/python/test/unit/language/test_matmul.py
index 9630aef886..49408862c7 100644
--- a/python/test/unit/language/test_matmul.py
+++ b/python/test/unit/language/test_matmul.py
@@ -1252,9 +1252,9 @@ def create_operand(dtype: str, size0: int, size1: int, k_dim: int, transpose: bo
     kernel_kwargs = {}
     if is_hip():
         kernel_kwargs["matrix_instr_nonkdim"] = nonKDim
-    if is_xpu() and (128, 256, 256) == (BLOCK_M, BLOCK_N, BLOCK_K) and not CONST_SCALE and not PACK_B_ALONG_K:
-        kernel_kwargs["num_warps"] = 8
     if is_xpu():
+        # since the block size are big we use num_warps = 32 to avoid pressure problems.
+        kernel_kwargs["num_warps"] = 32
         kernel_kwargs["grf_mode"] = "256"
     out = mxfp8_mxfp4_matmul[grid](a, b, output, a_scale, b_scale, M, N, K, stride_scale, a.stride(0), a.stride(1),
                                    b.stride(0), b.stride(1), output.stride(0), output.stride(1), not CONST_SCALE,