| Upload Date | November 10 2025 11:46 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
3472
645.7 IPS |
|
|
Image Classification (HP)
|
100% |
645
119.9 IPS |
|
|
Image Classification (Q)
|
99% |
7262
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10263
166.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8068
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5529
6.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
27062
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3255
258.1 IPS |
|
|
Object Detection (HP)
|
100% |
834
66.2 IPS |
|
|
Object Detection (Q)
|
86% |
7157
575.2 IPS |
|
|
Face Detection (SP)
|
100% |
9576
113.8 IPS |
|
|
Face Detection (HP)
|
100% |
1849
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
9406
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9165
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2600
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16450
131.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18923
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12957
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20866
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3259
120.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2406
88.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5414
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
1623
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1436
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3265
65.6 IPS |