ASUS Vivobook S 14 ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407VA_S3407VA
Geekbench AI Score
3121
Single Precision Score
3150
Half Precision Score
7719
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | January 25 2026 12:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 210H |
| 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% |
1970
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (Q)
|
100% |
4922
915.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4872
79.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3609
4.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
12056
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (Q)
|
88% |
4980
399.2 IPS |
|
|
Face Detection (SP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
11153
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5010
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5026
38.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12572
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10855
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10900
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38034
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7802
288.9 IPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
3794
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3307
57.0 IPS |
