Add Qwen3.5 Benchmarks

app.js

@@ -234,7 +234,7 @@ config.filters.forEach(f => {
 });
 
 // Metric filter (always last)
-filtersBar.appendChild(createFilterGroup("Metric", "filter-metric"));
+filtersBar.appendChild(createFilterGroup("METRIC", "filter-metric"));
 
 function createFilterGroup(label, id) {
     const div = document.createElement("div");
@@ -456,7 +456,15 @@ function buildTables(filtered, chartsShown) {
     const groupFilterCfg = config.filters.find(f => f.column === GROUP_BY);
     const groupVal  = filters[GROUP_BY];
     const opts      = availableOptions(filters.family);
-    const groupVals = groupVal === "all" ? (opts[GROUP_BY] || []) : [groupVal];
+    let groupVals = groupVal === "all" ? (opts[GROUP_BY] || []) : [groupVal];
+    if (groupVal === "all" && groupFilterCfg?.value_labels) {
+        const labelOrder = Object.keys(groupFilterCfg.value_labels);
+        groupVals = [...groupVals].sort((a, b) => {
+            const ai = labelOrder.indexOf(String(a));
+            const bi = labelOrder.indexOf(String(b));
+            return (ai === -1 ? Infinity : ai) - (bi === -1 ? Infinity : bi);
+        });
+    }
 
     // Determine which display columns are visible given current filter state
     const visibleDisplay = (config.display_columns || []).filter(dc => {

config.json

@@ -8,16 +8,16 @@
   "filters": [
     {
       "column": "type",
-      "label": "Modality"
+      "label": "MODALITY"
     },
     {
       "column": "batch",
-      "label": "Batch Size",
+      "label": "BATCH SIZE",
       "type": "number"
     },
     {
       "column": "device",
-      "label": "Device",
+      "label": "DEVICE",
       "value_labels": {
         "orin_nano": "Jetson Orin Nano Super",
         "orin_nano_super": "Jetson Orin Nano Super",
@@ -129,12 +129,27 @@
   "model_families": {
     "Cosmos-Reason2-2B": {
       "data_file": "data/Cosmos-Reason2.csv",
-      "table_group_by": ["res", "fps"],
+      "table_group_by": [
+        "res",
+        "fps"
+      ],
       "experiment_setup": {
         "agx_thor": "Measurement setup: NVIDIA vLLM 26.01, 256 tokens generated, 10 warm-up runs, averaged over 25 runs.",
         "agx_orin": "Measurement setup: NVIDIA AI IoT vLLM 0.14.0 tegra, 256 tokens generated, 10 warm-up runs, averaged over 25 runs.",
         "orin_nano": "Measurement setup: NVIDIA AI IoT vLLM 0.14.0 tegra, 256 tokens generated, 10 warm-up runs, averaged over 25 runs."
       }
+    },
+    "Qwen3.5": {
+      "data_file": "data/Qwen3.5.csv",
+      "table_group_by": [
+        "res",
+        "fps"
+      ],
+      "experiment_setup": {
+        "agx_thor": "Measurement setup: NVIDIA AI IoT vLLM 0.16.0 arm64, 256 tokens generated, 10 warm-up runs, averaged over 25 runs.",
+        "agx_orin": "Measurement setup: NVIDIA AI IoT vLLM 0.16.0 tegra, 256 tokens generated, 10 warm-up runs, averaged over 25 runs.",
+        "orin_nano": "Measurement setup: NVIDIA AI IoT vLLM 0.16.0 tegra, 256 tokens generated, 10 warm-up runs, averaged over 25 runs."
+      }
     }
   }
 }

data/Qwen3.5.csv

@@ -0,0 +1,165 @@
+model_family,model,type,batch,device,res,fps,frames,e2e,tps,tpot,ttft
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,1,agx_orin,1280x720,N/A,N/A,3.4767,73.63,10.47,793.82
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,1,agx_orin,1920x1080,N/A,N/A,3.4601,73.99,10.50,769.59
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,1,agx_orin,854x480,N/A,N/A,3.4106,75.06,10.46,730.42
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,1,agx_thor,1280x720,N/A,N/A,2.9966,85.43,9.47,571.74
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,1,agx_thor,1920x1080,N/A,N/A,3.0482,83.98,9.52,609.01
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,1,agx_thor,854x480,N/A,N/A,2.9693,86.22,9.53,527.85
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,1,orin_nano_super,1280x720,N/A,N/A,6.0005,42.66,18.24,1327.89
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,8,agx_orin,1280x720,N/A,N/A,7.6469,267.82,15.99,2367.57
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,8,agx_orin,1920x1080,N/A,N/A,7.3892,277.16,16.13,2203.89
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,8,agx_orin,854x480,N/A,N/A,7.1014,288.40,16.26,2035.83
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,8,agx_thor,1280x720,N/A,N/A,6.2006,330.29,9.36,2363.24
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,8,agx_thor,1920x1080,N/A,N/A,5.4511,375.70,10.32,1861.66
+Qwen3.5,Qwen/Qwen3.5-0.8B,image,8,agx_thor,854x480,N/A,N/A,6.0003,341.32,9.42,2261.71
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+Qwen3.5,Qwen/Qwen3.5-0.8B,text,1,agx_thor,N/A,N/A,N/A,2.4818,103.15,9.48,53.33
+Qwen3.5,Qwen/Qwen3.5-0.8B,text,1,orin_nano_super,N/A,N/A,N/A,4.7219,54.21,17.89,140.28
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