update partial A100 CUDA accuracy data
@@ -1951,14 +1951,14 @@ Performance varies by use, configuration and other factors. See [platform config
<td class="tg-pm1l">54.71%</td>
<td class="tg-pm1l">47.06%</td>
<td class="tg-pm1l">54.71%</td>
- <td class="tg-pm1l">54.74%*</td>
+ <td class="tg-pm1l">54.79%</td>
</tr>
<tr>
<td class="tg-cwad">CaffeNet</td>
<td class="tg-pm1l">56.25%</td>
<td class="tg-pm1l">52.35%</td>
<td class="tg-pm1l">56.27%</td>
- <td class="tg-pm1l">56.12%*</td>
+ <td class="tg-pm1l">56.24%</td>
</tr>
<tr>
<td class="tg-cwad">GoogleNet</td>
@@ -1972,7 +1972,7 @@ Performance varies by use, configuration and other factors. See [platform config
<td class="tg-pm1l">55.86%</td>
<td class="tg-pm1l">45.09%</td>
<td class="tg-pm1l">55.86%</td>
- <td class="tg-pm1l">55.75%*</td>
+ <td class="tg-pm1l">55.89%</td>
</tr>
<tr>
<td class="tg-cwad">Inception V1</td>
@@ -2021,7 +2021,7 @@ Performance varies by use, configuration and other factors. See [platform config
<td class="tg-pm1l">72.31%</td>
<td class="tg-pm1l">69.35%</td>
<td class="tg-pm1l">72.32%</td>
- <td class="tg-pm1l">72.31%*</td>
+ <td class="tg-pm1l">72.34%</td>
</tr>
<tr>
<td class="tg-cwad">MobileNet V3 MLPerf</td>
