| Upload Date | December 04 2025 04:10 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405CA_UX3405CA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405CA |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2811
522.8 IPS |
|
|
Image Classification (HP)
|
100% |
6083
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8336
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2628
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3287
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6450
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
32186
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
68869
80.7 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
5227
414.6 IPS |
|
|
Object Detection (Q)
|
88% |
9204
737.9 IPS |
|
|
Face Detection (SP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
17949
213.3 IPS |
|
|
Face Detection (Q)
|
100% |
31267
371.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6074
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18699
144.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
35137
273.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17530
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53366
68.6 IPS |
|
|
Style Transfer (Q)
|
98% |
98532
127.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3074
113.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15178
560.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28035
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
1680
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1718
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3654
62.9 IPS |