ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
10624
Single Precision Score
26032
Half Precision Score
27925
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 08:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7252
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
14565
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
17106
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9336
151.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24269
393.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29118
472.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21657
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
129324
150.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
248358
290.8 IPS |
|
|
Object Detection (SP)
|
100% |
6454
511.9 IPS |
|
|
Object Detection (HP)
|
100% |
15695
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
14867
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
13524
160.7 IPS |
|
|
Face Detection (HP)
|
100% |
28847
342.8 IPS |
|
|
Face Detection (Q)
|
100% |
35251
418.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23922
184.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58712
452.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
65739
511.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49707
63.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149704
192.4 IPS |
|
|
Style Transfer (Q)
|
98% |
147495
190.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9130
337.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28552
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28480
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4932
6.58 KIPS |
|
|
Text Classification (Q)
|
92% |
2855
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5580
96.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5643
97.2 IPS |
