diff --git a/benchmarks/triton_kernels_benchmark/gemm_benchmark.py b/benchmarks/triton_kernels_benchmark/gemm_benchmark.py
index b70465ee71..7e0b339dc6 100644
--- a/benchmarks/triton_kernels_benchmark/gemm_benchmark.py
+++ b/benchmarks/triton_kernels_benchmark/gemm_benchmark.py
@@ -309,6 +309,10 @@ def benchmark(B, M, N, K, provider):
             acc = torch.empty((B, M, N), device='xpu', dtype=torch.float32)
             cnt = torch.empty((B, M, N), device='xpu', dtype=torch.int32)
         name = f'gemm_shape_{B}_{M}_{K}_{N}'
+        # FIXME: Use gemm_streamk_benchmark.py when Triton streamk can get
+        # better performance.
+        if (B, M, N, K) == (1, 3072, 4096, 3072):
+            name = 'gemm_streamk_shape_3072_4096_3072'
         func = getattr(xetla_kernel, name)
         xetla_fn = lambda: func(a, b, c, acc, cnt)
         torch_fn = lambda: torch.matmul(a, b).to(torch.float32)
@@ -338,6 +342,7 @@ def benchmark(B, M, N, K, provider):
             'gemm_shape_32_4096_4096_128': 'Test_32x4096x4096x128_row_row',
             'gemm_shape_4096_8_128_16384': 'Test_4096x8x128x16384_row_row',
             'gemm_shape_4096_8_16384_128': 'Test_4096x8x16384x128_row_row',
+            'gemm_streamk_shape_3072_4096_3072': 'stream_k_gemm_run',
         }
 
         # benchmark_suit.assert_close(xetla_fn(), torch_fn(), atol=1e-4, rtol=1.0, err_msg='xetla to torch')