| User | O-EtaIXVII |
| Upload Date | September 25 2025 09:17 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Balanced |
| 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% |
1204
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
15553
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
22621
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18884
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31416
509.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1831
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
107054
124.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
235303
275.6 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
100% |
18274
1.45 KIPS |
|
|
Object Detection (Q)
|
88% |
28106
2.25 KIPS |
|
|
Face Detection (SP)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
40168
477.3 IPS |
|
|
Face Detection (Q)
|
100% |
93961
1.12 KIPS |
|
|
Depth Estimation (SP)
|
100% |
2996
23.1 IPS |
|
|
Depth Estimation (HP)
|
92% |
82229
637.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
156539
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
6277
8.07 IPS |
|
|
Style Transfer (HP)
|
100% |
237697
305.6 IPS |
|
|
Style Transfer (Q)
|
98% |
411983
531.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41085
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77601
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (Q)
|
92% |
4050
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7229
124.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7973
137.3 IPS |