| Upload Date | November 10 2025 11:57 PM |
| Views | 4 |
| 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 14 UX3405CA_UX3405CA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405CA |
| Power Plan | Balanced |
| 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% |
3359
624.6 IPS |
|
|
Image Classification (HP)
|
100% |
6719
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9216
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3810
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2806
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7233
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
34765
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74374
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
6025
477.9 IPS |
|
|
Object Detection (Q)
|
87% |
9642
773.8 IPS |
|
|
Face Detection (SP)
|
100% |
8259
98.1 IPS |
|
|
Face Detection (HP)
|
100% |
17269
205.2 IPS |
|
|
Face Detection (Q)
|
100% |
31679
376.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7205
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19164
147.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
35357
275.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18785
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55540
71.4 IPS |
|
|
Style Transfer (Q)
|
98% |
98825
127.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3653
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14245
526.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23665
876.4 IPS |
|
|
Text Classification (SP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
1985
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2635
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4060
69.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4067
70.1 IPS |