| Upload Date | April 22 2025 09:26 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| 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% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
11770
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
16858
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16155
261.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31160
505.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3074
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
102103
119.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
202908
237.7 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
15818
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
21928
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
31545
374.8 IPS |
|
|
Face Detection (Q)
|
100% |
66899
794.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4118
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
68205
525.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
110924
863.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9020
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
205883
264.7 IPS |
|
|
Style Transfer (Q)
|
98% |
304522
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1845
68.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31960
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56657
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2003
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2589
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
2273
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4053
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4019
69.2 IPS |