ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2917
Single Precision Score
1292
Half Precision Score
5927
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cj1171 |
| Upload Date | September 23 2025 02:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
2172
403.9 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (Q)
|
99% |
4798
894.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6711
109.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4576
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
16257
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2078
164.8 IPS |
|
|
Object Detection (HP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
4607
370.3 IPS |
|
|
Face Detection (SP)
|
100% |
5810
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
1380
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
7717
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1922
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12253
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10949
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8174
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19970
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4463
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
1287
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
598
797.9 IPS |
|
|
Text Classification (Q)
|
97% |
1221
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2157
43.3 IPS |
