| Upload Date | November 12 2025 07:23 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| 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% |
3400
632.4 IPS |
|
|
Image Classification (HP)
|
100% |
3575
664.8 IPS |
|
|
Image Classification (Q)
|
100% |
8573
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3953
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2553
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6682
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
5578
6.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
21513
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
3084
244.6 IPS |
|
|
Object Detection (Q)
|
88% |
8877
711.6 IPS |
|
|
Face Detection (SP)
|
100% |
8151
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
8953
106.4 IPS |
|
|
Face Detection (Q)
|
100% |
15067
179.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7419
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5127
39.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10211
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15433
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11263
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
45176
58.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2357
87.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2038
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7420
274.8 IPS |
|
|
Text Classification (SP)
|
100% |
1974
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
3492
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2743
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2628
45.3 IPS |