ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2908
Single Precision Score
2029
Half Precision Score
7749
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cj1171 |
| Upload Date | September 23 2025 02:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (Q)
|
100% |
4949
920.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4696
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3098
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2108
2.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
12081
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
100% |
1211
96.0 IPS |
|
|
Object Detection (Q)
|
88% |
4904
393.1 IPS |
|
|
Face Detection (SP)
|
100% |
5097
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
12860
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4351
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3066
23.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
13170
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9406
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6099
7.84 IPS |
|
|
Style Transfer (Q)
|
98% |
34873
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7265
269.1 IPS |
|
|
Text Classification (SP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1355
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
4334
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3051
52.6 IPS |
