diff --git a/.circleci/config.yml b/.circleci/config.yml
index 90a8a9abb..32ad29cdf 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -341,12 +341,12 @@ jobs:
       - run_nvidia_smi
       - benchmark_layers_integration_test:
           device: "cuda"
-          layers: "groupnorm gsm_groupnorm instancenorm gsm_instancenorm layernorm gsm_layernorm"
+          layers: "groupnorm gsm_groupnorm instancenorm gsm_instancenorm layernorm gsm_layernorm dpmha"
           runtime_ratio_threshold: "2.5"
           memory_ratio_threshold: "1.6"
       - benchmark_layers_integration_test:
           device: "cuda"
-          layers: linear gsm_linear
+          layers: "linear gsm_linear"
           runtime_ratio_threshold: "3.6"
           memory_ratio_threshold: "13.0"
       - benchmark_layers_integration_test:
diff --git a/benchmarks/utils.py b/benchmarks/utils.py
index a21ddeddb..8de6a33d2 100644
--- a/benchmarks/utils.py
+++ b/benchmarks/utils.py
@@ -220,12 +220,13 @@ def generate_report(path_to_results: str, save_path: str, format: str) -> None:
     )
 
     def add_ratio(df, metric, variant):
-        if variant in df.columns.get_level_values("variant"):
-            df[(metric, f"{variant}/control")] = (
-                df.loc[:, (metric, variant)] / df.loc[:, (metric, "control")]
-            )
-        else:
-            df[(metric, f"{variant}/control")] = np.nan
+        if variant not in df.columns.get_level_values("variant"):
+            for ametric in df.columns.get_level_values(0):
+                df[(ametric, variant)] = np.nan
+
+        df[(metric, f"{variant}/control")] = (
+            df.loc[:, (metric, variant)] / df.loc[:, (metric, "control")]
+        )
 
     if "control" in results["variant"].tolist():
         add_ratio(pivot, "runtime", "dp")