| Upload Date | June 22 2025 08:43 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1927
358.4 IPS |
|
|
Image Classification (HP)
|
100% |
12019
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
17925
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17894
290.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25323
410.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
106865
124.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
213175
249.7 IPS |
|
|
Object Detection (SP)
|
100% |
1873
148.6 IPS |
|
|
Object Detection (HP)
|
100% |
15649
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
23037
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
5707
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
26646
316.6 IPS |
|
|
Face Detection (Q)
|
100% |
70122
833.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4780
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71309
549.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
114590
891.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9990
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205763
264.5 IPS |
|
|
Style Transfer (Q)
|
98% |
314550
405.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35007
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59697
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2735
3.65 KIPS |
|
|
Text Classification (Q)
|
92% |
2029
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3828
65.9 IPS |