Update performance dashboard (#2)

- Update performance dashboard (bd55be6d4447db6dcf0db8f2eeed73af443c1749)


Co-authored-by: Xiaoming Hu <[email protected]>

README.md

@@ -22,7 +22,25 @@ Please follow the [instructions](https://github.com/google-ai-edge/mediapipe-sam
 
 Note that all benchmark stats are from a Samsung S24 Ultra.
 
-| Model                                          | Params |                    | GGML tk/s (CPU, 4 threads) | GGML tk/s (CPU, 8 threads) | LiteRT tk/s (XNNPACK, 4 threads) | LiteRT tk/s (XNNPACK, 8 threads) |
-| ---------------------------------------------- | ------ | ------------------ | -------------------------- | -------------------------- | -------------------------------- | -------------------------------- |
-| DeepSeek-R1-Distill-Qwen-1.5B (Int8 quantized) | 1.78 B | Prefill 512 tokens | 64.66                      | 87.18                      | 260.95                           | 299.15                           |
-|                                                |        | Decode 128 tokens  | 23.85                      | 15.37                      | 23.126                           | 10.486                           |
+<table border="1">
+  <tr>
+    <th>Model</th>
+      <td colspan="2">DeepSeek-R1-Distill-Qwen-1.5B (Int8 quantized)</td>
+  </tr>
+  <tr>
+    <th>Params</th>
+    <td colspan="2">1.78 B</td>
+  </tr>
+  <tr>
+    <th></th>
+    <td><b>Prefill 512 tokens</b></td><td><b>Decode 128 tokens</b></td>
+  </tr>
+  <tr>
+    <th>LiteRT tk/s (XNNPACK, 4 threads)</th>
+    <td>260.95</td><td>23.126</td>
+  </tr>
+  <tr>
+    <th>GGML tk/s (CPU, 4 threads)</th>
+      <td>64.66</td><td>23.85</td>
+  </tr>
+</table>