| User | minerale |
| Upload Date | October 21 2025 09:55 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1697
315.5 IPS |
|
|
Image Classification (HP)
|
100% |
15071
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
21190
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19341
313.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32565
527.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3198
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
110118
128.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
246460
288.7 IPS |
|
|
Object Detection (SP)
|
100% |
1669
132.4 IPS |
|
|
Object Detection (HP)
|
100% |
17506
1.39 KIPS |
|
|
Object Detection (Q)
|
88% |
26427
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
5015
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
42923
510.0 IPS |
|
|
Face Detection (Q)
|
100% |
94854
1.13 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4294
33.1 IPS |
|
|
Depth Estimation (HP)
|
92% |
82742
641.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
157721
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
9431
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
239865
308.3 IPS |
|
|
Style Transfer (Q)
|
98% |
403638
520.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41965
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76206
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
1972
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (Q)
|
92% |
3432
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7057
121.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8425
145.1 IPS |