| Upload Date | November 10 2025 11:55 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| 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% |
6923
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
11952
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
15263
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9144
148.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21242
344.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25415
412.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25191
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
92896
108.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
176384
206.5 IPS |
|
|
Object Detection (SP)
|
100% |
6606
524.0 IPS |
|
|
Object Detection (HP)
|
100% |
13394
1.06 KIPS |
|
|
Object Detection (Q)
|
88% |
16606
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
13162
156.4 IPS |
|
|
Face Detection (HP)
|
100% |
28055
333.4 IPS |
|
|
Face Detection (Q)
|
100% |
36896
438.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22500
173.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47920
369.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
62444
485.4 IPS |
|
|
Style Transfer (SP)
|
100% |
62642
80.5 IPS |
|
|
Style Transfer (HP)
|
100% |
155554
200.0 IPS |
|
|
Style Transfer (Q)
|
98% |
233225
300.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10311
380.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28978
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35893
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2468
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5140
88.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5209
89.7 IPS |