| Image Classification (SP) |
928 |
707 |
131.3%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Image Classification (HP) |
657 |
686 |
95.8%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Image Classification (Q) |
1372 |
701 |
195.7%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Image Segmentation (SP) |
664 |
1212 |
54.8%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Image Segmentation (HP) |
403 |
656 |
61.4%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Image Segmentation (Q) |
1532 |
1055 |
145.2%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Pose Estimation (SP) |
1385 |
6763 |
20.5%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Pose Estimation (HP) |
1060 |
11164 |
9.5%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Pose Estimation (Q) |
2724 |
6144 |
44.3%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Object Detection (SP) |
534 |
766 |
69.7%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Object Detection (HP) |
426 |
716 |
59.5%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Object Detection (Q) |
1004 |
721 |
139.3%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Face Detection (SP) |
984 |
2459 |
40.0%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Face Detection (HP) |
969 |
2400 |
40.4%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Face Detection (Q) |
1938 |
2256 |
85.9%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Depth Estimation (SP) |
1124 |
4033 |
27.9%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Depth Estimation (HP) |
1300 |
4768 |
27.3%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Depth Estimation (Q) |
1242 |
3531 |
35.2%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Style Transfer (SP) |
2895 |
11422 |
25.3%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Style Transfer (HP) |
2961 |
16504 |
17.9%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Style Transfer (Q) |
5090 |
10147 |
50.2%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Image Super-Resolution (SP) |
663 |
2871 |
23.1%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Image Super-Resolution (HP) |
623 |
3836 |
16.2%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Image Super-Resolution (Q) |
1096 |
2197 |
49.9%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Text Classification (SP) |
239 |
749 |
31.9%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Text Classification (HP) |
224 |
794 |
28.2%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Text Classification (Q) |
486 |
529 |
91.9%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Machine Translation (SP) |
572 |
1299 |
44.0%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Machine Translation (HP) |
554 |
1234 |
44.9%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
| Machine Translation (Q) |
271 |
637 |
42.5%
|
|
Samsung Galaxy S23
|
|
|
Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
|
|
