| User | UnseenOfDarkcloud |
| Upload Date | February 06 2026 08:56 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406MA_UX8406MA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1083
201.5 IPS |
|
|
Image Classification (HP)
|
100% |
4657
866.0 IPS |
|
|
Image Classification (Q)
|
100% |
6728
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4516
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
29627
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
62966
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (HP)
|
100% |
5308
421.0 IPS |
|
|
Object Detection (Q)
|
87% |
8509
682.9 IPS |
|
|
Face Detection (SP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
13941
165.6 IPS |
|
|
Face Detection (Q)
|
100% |
24025
285.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3351
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17168
132.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
32333
251.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11094
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
46384
59.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85699
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12620
466.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22825
845.3 IPS |
|
|
Text Classification (SP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1786
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3803
65.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3829
66.0 IPS |