| Upload Date | November 10 2025 11:51 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 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% |
3321
617.7 IPS |
|
|
Image Classification (HP)
|
100% |
3678
683.9 IPS |
|
|
Image Classification (Q)
|
100% |
8506
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3506
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8066
130.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7149
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
6646
7.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
24576
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2520
199.9 IPS |
|
|
Object Detection (HP)
|
100% |
3407
270.3 IPS |
|
|
Object Detection (Q)
|
88% |
8330
667.8 IPS |
|
|
Face Detection (SP)
|
100% |
8477
100.7 IPS |
|
|
Face Detection (HP)
|
100% |
9672
114.9 IPS |
|
|
Face Detection (Q)
|
100% |
17067
202.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7213
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7519
57.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
20133
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18499
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18324
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
64621
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3522
130.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3899
144.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12429
460.3 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
4383
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2714
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4321
74.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3046
52.5 IPS |