diff --git a/graph_net/fault_locator/torch/compiler_evaluator.py b/graph_net/fault_locator/torch/compiler_evaluator.py
index b70056b74..bf282b07b 100644
--- a/graph_net/fault_locator/torch/compiler_evaluator.py
+++ b/graph_net/fault_locator/torch/compiler_evaluator.py
@@ -51,21 +51,43 @@ def _prepare_workspace(self, tmp_dir: Path, rel_model_path: str) -> Path:
 
     def _execute_benchmark(self, allow_list_path: Path, log_file: Path):
         """
-        Invokes the torch.test_compiler module and redirects output to a log file.
+        Invokes the torch.eval_backend_diff module and redirects output to a log file.
         Uses sys.executable to ensure the same Python environment is used.
         """
+        import base64
+        import json
+
+        ref_config = {
+            "backend_config": {
+                "compiler": "nope",
+                "device": self.config["device"],
+                "model_path_prefix": self.config["model_path_prefix"],
+            }
+        }
+
+        target_config = {
+            "backend_config": {
+                "compiler": self.config["compiler"],
+                "device": self.config["device"],
+                "model_path_prefix": self.config["model_path_prefix"],
+            }
+        }
+
+        ref_config_b64 = base64.b64encode(json.dumps(ref_config).encode()).decode()
+        target_config_b64 = base64.b64encode(
+            json.dumps(target_config).encode()
+        ).decode()
+
         cmd = [
             sys.executable,
             "-m",
-            "graph_net_bench.torch.test_compiler",
-            "--model-path-prefix",
-            f"{self.config['model_path_prefix']}/",
-            "--allow-list",
+            "graph_net_bench.torch.eval_backend_diff",
+            "--model-path-list",
             str(allow_list_path),
-            "--compiler",
-            self.config["compiler"],
-            "--device",
-            self.config["device"],
+            "--reference-config",
+            ref_config_b64,
+            "--target-config",
+            target_config_b64,
         ]
         print(" ".join(cmd))
         with log_file.open("w") as f:
diff --git a/graph_net_bench/torch/eval_backend_diff.py b/graph_net_bench/torch/eval_backend_diff.py
index cfa171dc6..5e2c89391 100755
--- a/graph_net_bench/torch/eval_backend_diff.py
+++ b/graph_net_bench/torch/eval_backend_diff.py
@@ -154,7 +154,7 @@ def eval_multi_models(args, model_path_prefix=None, use_model_list=False):
     failed_samples = []
     for sample_idx, model_path in enumerate(model_paths):
         print(
-            f"[{sample_idx}] {module_name}, model_path: {model_path}",
+            f"[{sample_idx}][Processing] {module_name}, model_path: {model_path}",
             file=sys.stderr,
             flush=True,
         )
@@ -189,20 +189,37 @@ def eval_multi_models(args, model_path_prefix=None, use_model_list=False):
             print(f"- {model_path}", file=sys.stderr, flush=True)
 
 
+def _build_args_for_perf(
+    config: dict, model_path: str, output_path: str
+) -> types.SimpleNamespace:
+    """
+    TODO: Remove or modify this function for args building
+    when finish refactoring eval_backend_perf to new runner-backend structure.
+    """
+    backend_config = config.get("backend_config", {})
+    return types.SimpleNamespace(
+        model_path=model_path,
+        output_path=output_path,
+        compiler=backend_config.get("compiler", ""),
+        device=backend_config.get("device", "cuda"),
+        seed=backend_config.get("seed", 123),
+        warmup=config.get("warmup", 3),
+        trials=config.get("trials", 5),
+        log_prompt=backend_config.get("log_prompt", "graph-net-bench-log"),
+        model_path_prefix=backend_config.get("model_path_prefix"),
+        backend_config=backend_config.get("backend_config"),
+    )
+
+
 def eval_single_model(args):
+    ref_config = test_compiler_util.convert_to_dict(args.reference_config)
+    target_config = test_compiler_util.convert_to_dict(args.target_config)
+
     ref_dir = "/tmp/eval_perf_diff/reference"
     target_dir = "/tmp/eval_perf_diff/target"
 
-    ref_args = types.SimpleNamespace(
-        model_path=args.model_path,
-        output_path=ref_dir,
-        **test_compiler_util.convert_to_dict(args.reference_config),
-    )
-    target_args = types.SimpleNamespace(
-        model_path=args.model_path,
-        output_path=target_dir,
-        **test_compiler_util.convert_to_dict(args.target_config),
-    )
+    ref_args = _build_args_for_perf(ref_config, args.model_path, ref_dir)
+    target_args = _build_args_for_perf(target_config, args.model_path, target_dir)
 
     eval_single_model_with_single_backend(ref_args)
     eval_single_model_with_single_backend(target_args)
@@ -230,11 +247,12 @@ def eval_single_model(args):
 
 def main(args):
     ref_config = test_compiler_util.convert_to_dict(args.reference_config)
-    model_path_prefix = ref_config.get("model_path_prefix")
+    backend_config = ref_config.get("backend_config", {})
+    model_path_prefix = backend_config.get("model_path_prefix")
 
     if args.model_path_list and model_path_prefix:
         eval_multi_models(args, model_path_prefix, use_model_list=True)
-    elif os.path.isdir(args.model_path):
+    elif args.model_path and os.path.isdir(args.model_path):
         if path_utils.is_single_model_dir(args.model_path):
             eval_single_model(args)
         else:
diff --git a/test/eval_backend_diff_test.sh b/test/eval_backend_diff_test.sh
index 1eaca5ecd..5a38f1d38 100755
--- a/test/eval_backend_diff_test.sh
+++ b/test/eval_backend_diff_test.sh
@@ -10,21 +10,35 @@ python3 -m graph_net_bench.torch.eval_backend_diff \
     --model-path-list $model_list \
     --reference-config $(base64 -w 0 <<EOF
 {
-    "compiler": "nope",
-    "device": "cuda",
+    "runner_type": "local",
+    "backend_path": "graph_net_bench.torch.backend.nope_backend",
+    "backend_class": "NopeBackend",
     "warmup": 1,
     "trials": 1,
-    "model_path_prefix": "$AI4C_ROOT"
+    "backend_config": {
+        "compiler": "nope",
+        "device": "cuda",
+        "seed": 123,
+        "log_prompt": "graph-net-bench-log",
+        "model_path_prefix": "$AI4C_ROOT"
+    }
 }
 EOF
 ) \
     --target-config $(base64 -w 0 <<EOF
 {
-    "compiler": "nope",
-    "device": "cuda",
+    "runner_type": "local",
+    "backend_path": "graph_net_bench.torch.backend.nope_backend",
+    "backend_class": "NopeBackend",
     "warmup": 1,
     "trials": 1,
-    "model_path_prefix": "$AI4C_ROOT"
+    "backend_config": {
+        "compiler": "nope",
+        "device": "cuda",
+        "seed": 123,
+        "log_prompt": "graph-net-bench-log",
+        "model_path_prefix": "$AI4C_ROOT"
+    }
 }
 EOF
 ) 2>&1 | tee "$OUTPUT_PATH/validation.log"