ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
9790
Single Precision Score
25468
Half Precision Score
28994
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cj1171 |
| Upload Date | September 23 2025 02:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6785
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
15238
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
18147
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9291
150.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25612
415.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29767
482.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20271
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
112771
131.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
254029
297.4 IPS |
|
|
Object Detection (SP)
|
100% |
5610
445.0 IPS |
|
|
Object Detection (HP)
|
100% |
12241
971.0 IPS |
|
|
Object Detection (Q)
|
88% |
14633
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
12370
147.0 IPS |
|
|
Face Detection (HP)
|
100% |
32649
387.9 IPS |
|
|
Face Detection (Q)
|
100% |
44014
523.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20746
159.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
53776
414.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
65343
508.1 IPS |
|
|
Style Transfer (SP)
|
100% |
45988
59.1 IPS |
|
|
Style Transfer (HP)
|
100% |
136623
175.6 IPS |
|
|
Style Transfer (Q)
|
98% |
156804
202.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8599
317.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26872
992.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25660
950.3 IPS |
|
|
Text Classification (SP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5087
6.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2953
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6501
112.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6120
105.4 IPS |
