ASUS Vivobook S 14 ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407VA_S3407VA
Geekbench AI Score
3081
Single Precision Score
4308
Half Precision Score
6747
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | January 25 2026 12:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407VA_S3407VA |
| Motherboard | ASUSTeK COMPUTER INC. S3407VA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 5 210H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1718
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
2648
492.5 IPS |
|
|
Image Classification (Q)
|
99% |
3965
739.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2721
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4470
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5501
89.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5500
6.42 IPS |
|
|
Pose Estimation (HP)
|
99% |
4013
4.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
16874
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1666
132.1 IPS |
|
|
Object Detection (HP)
|
99% |
2517
199.6 IPS |
|
|
Object Detection (Q)
|
90% |
4162
332.7 IPS |
|
|
Face Detection (SP)
|
100% |
5421
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
8416
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
12453
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6055
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10075
77.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
13457
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14633
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19592
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38398
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2419
89.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7767
287.7 IPS |
|
|
Text Classification (SP)
|
71% |
1094
1.58 KIPS |
|
|
Text Classification (HP)
|
71% |
1440
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
1319
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1998
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1938
33.5 IPS |
