ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
10636
Single Precision Score
25908
Half Precision Score
28123
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 11:47 PM |
| Views | 2 |
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% |
7275
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
14206
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
16877
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9294
150.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24110
390.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29030
470.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22129
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
129265
150.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
249330
291.9 IPS |
|
|
Object Detection (SP)
|
100% |
6470
513.2 IPS |
|
|
Object Detection (HP)
|
100% |
15735
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
15080
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
13288
157.9 IPS |
|
|
Face Detection (HP)
|
100% |
29015
344.8 IPS |
|
|
Face Detection (Q)
|
100% |
35232
418.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24480
188.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
57331
441.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
65106
506.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49182
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155380
199.7 IPS |
|
|
Style Transfer (Q)
|
98% |
155507
200.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9322
344.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28069
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28506
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4826
6.44 KIPS |
|
|
Text Classification (Q)
|
92% |
2946
3.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5588
96.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5610
96.6 IPS |
