ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407VA_S3407VA
Geekbench AI Score
3075
Single Precision Score
3094
Half Precision Score
6826
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 03:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13420H |
| 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 Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1872
348.2 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.5 IPS |
|
|
Image Classification (Q)
|
100% |
4584
852.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4055
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3555
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3365
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
12172
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
1821
144.5 IPS |
|
|
Object Detection (Q)
|
88% |
4534
363.4 IPS |
|
|
Face Detection (SP)
|
100% |
4810
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
4797
57.0 IPS |
|
|
Face Detection (Q)
|
100% |
10954
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4859
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4891
37.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12383
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10031
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9841
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19665
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2203
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7351
272.2 IPS |
|
|
Text Classification (SP)
|
100% |
1927
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1939
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
3470
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3147
54.2 IPS |
