ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2570
Single Precision Score
1313
Half Precision Score
4995
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cj1171 |
| Upload Date | April 02 2025 12:54 AM |
| Views | 5 |
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 |
| 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% |
1807
336.0 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (Q)
|
99% |
4179
779.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2439
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3328
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2750
3.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
12115
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (Q)
|
86% |
4211
338.4 IPS |
|
|
Face Detection (SP)
|
100% |
5314
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
6898
82.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4571
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1845
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10057
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7698
9.90 IPS |
|
|
Style Transfer (HP)
|
100% |
6435
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
17229
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3467
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.5 IPS |
|
|
Text Classification (Q)
|
97% |
1612
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2788
56.0 IPS |
