ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
10702
Single Precision Score
25989
Half Precision Score
28085
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 08:15 AM |
| 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% |
7198
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
14253
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
16813
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9622
156.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24226
392.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29033
470.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22319
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
128446
149.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
251097
294.0 IPS |
|
|
Object Detection (SP)
|
100% |
6595
523.1 IPS |
|
|
Object Detection (HP)
|
100% |
15771
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
14843
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
13316
158.2 IPS |
|
|
Face Detection (HP)
|
100% |
29170
346.6 IPS |
|
|
Face Detection (Q)
|
100% |
35736
424.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24000
184.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
58950
454.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
65228
507.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49052
63.1 IPS |
|
|
Style Transfer (HP)
|
100% |
152518
196.1 IPS |
|
|
Style Transfer (Q)
|
98% |
151790
195.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9371
346.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28321
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29023
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4773
6.37 KIPS |
|
|
Text Classification (Q)
|
92% |
2904
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5670
97.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5628
96.9 IPS |
