diff --git a/mlir/benchmark/python/common.py b/mlir/benchmark/python/common.py
--- a/mlir/benchmark/python/common.py
+++ b/mlir/benchmark/python/common.py
@@ -19,25 +19,8 @@
         "parallelization-strategy=0"
         " vectorization-strategy=0 vl=1 enable-simd-index32=False"
     )
-    pipeline = (
-        f"builtin.func"
-        f"(linalg-generalize-named-ops,linalg-fuse-elementwise-ops),"
-        f"sparsification{{{opt}}},"
-        f"sparse-tensor-conversion,"
-        f"builtin.func"
-        f"(linalg-bufferize,convert-linalg-to-loops,convert-vector-to-scf),"
-        f"convert-scf-to-std,"
-        f"func-bufferize,"
-        f"tensor-constant-bufferize,"
-        f"builtin.func(tensor-bufferize,std-bufferize,finalizing-bufferize),"
-        f"convert-vector-to-llvm"
-        f"{{reassociate-fp-reductions=1 enable-index-optimizations=1}},"
-        f"lower-affine,"
-        f"convert-memref-to-llvm,"
-        f"convert-std-to-llvm,"
-        f"reconcile-unrealized-casts"
-    )
-    PassManager.parse(pipeline).run(mlir_module)
+    pipeline_new = f"builtin.module(sparse-compiler{{{opt}}})"
+    PassManager.parse(pipeline_new).run(mlir_module)
 
 
 def create_sparse_np_tensor(dimensions, number_of_elements):