| User | minerale |
| Upload Date | October 21 2025 10:00 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
1209
224.8 IPS |
|
|
Image Classification (Q)
|
100% |
4914
913.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4584
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3085
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2068
2.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
10999
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1640
130.1 IPS |
|
|
Object Detection (HP)
|
100% |
1165
92.4 IPS |
|
|
Object Detection (Q)
|
88% |
4826
386.9 IPS |
|
|
Face Detection (SP)
|
100% |
5009
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
12300
146.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4344
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2988
23.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12820
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9096
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
5905
7.59 IPS |
|
|
Style Transfer (Q)
|
98% |
32891
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1929
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1316
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6867
254.3 IPS |
|
|
Text Classification (SP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (Q)
|
92% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2921
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2929
50.5 IPS |