diff --git a/tests/dfx/perf/scripts/run_diffusion_benchmark.py b/tests/dfx/perf/scripts/run_diffusion_benchmark.py
index 078eaaea33f..1bd9bf1a143 100644
--- a/tests/dfx/perf/scripts/run_diffusion_benchmark.py
+++ b/tests/dfx/perf/scripts/run_diffusion_benchmark.py
@@ -317,6 +317,7 @@ def _unique_server_params(configs: list[dict[str, Any]]) -> list[dict[str, Any]]
                 "model": cfg["server_params"]["model"],
                 "serve_args": _build_serve_args(cfg["server_params"].get("serve_args", {})),
                 "benchmark_backend": "vllm-omni",
+                "server_params": cfg["server_params"],
             }
         )
     return result
@@ -363,6 +364,7 @@ def diffusion_server(request):
         print(f"\nStarting {server_type} server for test: {test_name}")
         with _make_server(server_cfg) as server:
             server.test_name = test_name
+            server.server_params = server_cfg["server_params"]
             print(f"{server_type} server started successfully")
             yield server
             print(f"{server_type} server stopping…")
@@ -400,6 +402,7 @@ def run_benchmark(
     params: dict[str, Any],
     test_name: str,
     backend: str = "vllm-omni",
+    server_params: dict[str, Any] | None = None,
 ) -> dict[str, Any]:
     """Run diffusion_benchmark_serving.py as a subprocess and return parsed metrics.
 
@@ -496,6 +499,7 @@ def run_benchmark(
         "test_name": test_name,
         "backend": backend,
         "timestamp": timestamp,
+        "server_params": server_params,
         "benchmark_params": params,
         "result": metrics,
         "log_file": str(log_file),
@@ -561,6 +565,7 @@ def test_diffusion_performance_benchmark(diffusion_server, benchmark_params):
         params=params,
         test_name=test_name,
         backend=backend,
+        server_params=diffusion_server.server_params,
     )
 
     print(f"\n{'=' * 60}")
diff --git a/tests/dfx/perf/tests/test_qwen_image_vllm_omni.json b/tests/dfx/perf/tests/test_qwen_image_vllm_omni.json
index 66478e73bb7..eea180ad03f 100644
--- a/tests/dfx/perf/tests/test_qwen_image_vllm_omni.json
+++ b/tests/dfx/perf/tests/test_qwen_image_vllm_omni.json
@@ -43,27 +43,6 @@
                     "peak_memory_mb_max": 74000,
                     "peak_memory_mb_mean": 74000
                 }
-            },
-            {
-                "name": "mixed_resolution",
-                "dataset": "random",
-                "task": "t2i",
-                "num-inference-steps": 20,
-                "num-prompts": 10,
-                "max-concurrency": 1,
-                "enable-negative-prompt": true,
-                "random-request-config": [
-                    {"width": 512,  "height": 512,  "num_inference_steps": 20, "weight": 0.15},
-                    {"width": 768,  "height": 768,  "num_inference_steps": 20, "weight": 0.25},
-                    {"width": 1024, "height": 1024, "num_inference_steps": 25, "weight": 0.45},
-                    {"width": 1536, "height": 1536, "num_inference_steps": 35, "weight": 0.15}
-                ],
-                "baseline": {
-                    "throughput_qps": 0.14,
-                    "latency_p99": 25.0,
-                    "peak_memory_mb_max": 74000,
-                    "peak_memory_mb_mean": 74000
-                }
             }
         ]
     },
@@ -116,27 +95,6 @@
                     "peak_memory_mb_max": 61000,
                     "peak_memory_mb_mean": 61000
                 }
-            },
-            {
-                "name": "mixed_resolution",
-                "dataset": "random",
-                "task": "t2i",
-                "num-inference-steps": 20,
-                "num-prompts": 10,
-                "max-concurrency": 1,
-                "enable-negative-prompt": true,
-                "random-request-config": [
-                    {"width": 512,  "height": 512,  "num_inference_steps": 20, "weight": 0.15},
-                    {"width": 768,  "height": 768,  "num_inference_steps": 20, "weight": 0.25},
-                    {"width": 1024, "height": 1024, "num_inference_steps": 25, "weight": 0.45},
-                    {"width": 1536, "height": 1536, "num_inference_steps": 35, "weight": 0.15}
-                ],
-                "baseline": {
-                    "throughput_qps": 0.20,
-                    "latency_p99": 8.5,
-                    "peak_memory_mb_max": 61000,
-                    "peak_memory_mb_mean": 61000
-                }
             }
         ]
     },
@@ -199,27 +157,6 @@
                     "peak_memory_mb_max": 74000,
                     "peak_memory_mb_mean": 74000
                 }
-            },
-            {
-                "name": "mixed_resolution",
-                "dataset": "random",
-                "task": "t2i",
-                "num-inference-steps": 20,
-                "num-prompts": 10,
-                "max-concurrency": 1,
-                "enable-negative-prompt": true,
-                "random-request-config": [
-                    {"width": 512,  "height": 512,  "num_inference_steps": 20, "weight": 0.15},
-                    {"width": 768,  "height": 768,  "num_inference_steps": 20, "weight": 0.25},
-                    {"width": 1024, "height": 1024, "num_inference_steps": 25, "weight": 0.45},
-                    {"width": 1536, "height": 1536, "num_inference_steps": 35, "weight": 0.15}
-                ],
-                "baseline": {
-                    "throughput_qps": 0.35,
-                    "latency_p99": 5.33,
-                    "peak_memory_mb_max": 74000,
-                    "peak_memory_mb_mean": 74000
-                }
             }
         ]
     }