ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench AI Score
1954
Single Precision Score
1003
Half Precision Score
3780
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gshaw1967 |
| Upload Date | February 20 2025 12:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.6 IPS |
|
|
Image Classification (Q)
|
99% |
3086
575.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1914
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2579
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2173
2.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
9512
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
86% |
2850
229.0 IPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
5224
62.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3516
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1519
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8101
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6550
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
5297
6.81 IPS |
|
|
Style Transfer (Q)
|
98% |
14036
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2638
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
536
715.8 IPS |
|
|
Text Classification (Q)
|
97% |
1231
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1930
38.8 IPS |
