ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2528
Single Precision Score
1311
Half Precision Score
4996
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 11:27 PM |
| Views | 8 |
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% |
1768
328.9 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (Q)
|
99% |
4187
780.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2444
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3128
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2603
3.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
11736
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (Q)
|
86% |
4314
346.7 IPS |
|
|
Face Detection (SP)
|
100% |
5118
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
6793
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4411
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1929
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10143
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8048
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6744
8.67 IPS |
|
|
Style Transfer (Q)
|
98% |
17403
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3552
131.5 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
721
962.5 IPS |
|
|
Text Classification (Q)
|
97% |
1522
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2888
58.0 IPS |
