ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
10700
Single Precision Score
25797
Half Precision Score
28259
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 07:25 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% |
7212
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
14365
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
16875
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9481
153.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24223
392.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29160
472.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22123
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
130040
151.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
250461
293.2 IPS |
|
|
Object Detection (SP)
|
100% |
6574
521.5 IPS |
|
|
Object Detection (HP)
|
100% |
15684
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
15202
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
13041
155.0 IPS |
|
|
Face Detection (HP)
|
100% |
28882
343.2 IPS |
|
|
Face Detection (Q)
|
100% |
35355
420.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24119
185.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
58787
452.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
64507
501.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50587
65.0 IPS |
|
|
Style Transfer (HP)
|
100% |
153997
198.0 IPS |
|
|
Style Transfer (Q)
|
98% |
154082
198.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9459
349.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28261
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30477
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4462
5.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2883
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5580
96.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5614
96.7 IPS |
