ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407VA_S3407VA
Geekbench AI Score
2968
Single Precision Score
4052
Half Precision Score
6324
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 03:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD 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 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% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
2501
465.0 IPS |
|
|
Image Classification (Q)
|
99% |
3717
693.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4203
68.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5214
84.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5491
6.41 IPS |
|
|
Pose Estimation (HP)
|
99% |
3956
4.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
16790
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
99% |
2419
191.9 IPS |
|
|
Object Detection (Q)
|
90% |
3831
306.3 IPS |
|
|
Face Detection (SP)
|
100% |
5246
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
8064
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
11897
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6007
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9967
77.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
13290
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14387
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21325
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38083
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2422
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3787
139.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7470
276.6 IPS |
|
|
Text Classification (SP)
|
71% |
1097
1.59 KIPS |
|
|
Text Classification (HP)
|
71% |
1281
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
1285
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1427
24.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1422
24.5 IPS |
