ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2552
Single Precision Score
1318
Half Precision Score
4969
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 12:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1886
350.8 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
99% |
4232
789.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2435
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3242
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2724
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
11761
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.6 IPS |
|
|
Object Detection (HP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
4178
335.8 IPS |
|
|
Face Detection (SP)
|
100% |
4760
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
6907
82.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4583
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1918
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10442
83.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7957
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6504
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
16946
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3467
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
725
968.3 IPS |
|
|
Text Classification (Q)
|
97% |
1533
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2793
56.1 IPS |
