ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2539
Single Precision Score
1312
Half Precision Score
5017
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 12:48 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% |
1819
338.3 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (Q)
|
99% |
4111
766.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2458
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3167
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
11770
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
4188
336.6 IPS |
|
|
Face Detection (SP)
|
100% |
5001
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
6979
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4452
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1888
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10070
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8033
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6581
8.46 IPS |
|
|
Style Transfer (Q)
|
98% |
17079
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3628
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
688
918.9 IPS |
|
|
Text Classification (Q)
|
97% |
1572
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2967
59.6 IPS |
