fix score

app.py

@@ -93,11 +93,6 @@ def get_benchmark_df(benchmark="1xA100-80GB"):
         axis=1,
     )
 
-    # remove score for quantized models
-    merged_df.loc[
-        merged_df["optimizations"].str.contains("LLM.int8|LLM.fp4"), "best_score"
-    ] = "Not Evaluated"
-
     # create composite score
     score_distance = 100 - merged_df["best_score"]
     # normalize latency between 0 and 100
@@ -105,6 +100,11 @@ def get_benchmark_df(benchmark="1xA100-80GB"):
     merged_df["tradeoff"] = (score_distance**2 + latency_distance**2) ** 0.5
     merged_df["tradeoff"] = merged_df["tradeoff"].round(2)
 
+    # remove score for quantized models
+    merged_df.loc[
+        merged_df["optimizations"].str.contains("LLM.int8|LLM.fp4"), "best_score"
+    ] = "Not Evaluated"
+
     return merged_df