ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407CA_S3407CA
Geekbench AI Score
3869
Single Precision Score
3793
Half Precision Score
9415
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 03:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407CA_S3407CA |
| Motherboard | ASUSTeK COMPUTER INC. S3407CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2366
440.0 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.0 IPS |
|
|
Image Classification (Q)
|
100% |
6355
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6237
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5566
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4931
5.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
19095
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (Q)
|
88% |
6665
534.3 IPS |
|
|
Face Detection (SP)
|
100% |
5624
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
7053
83.8 IPS |
|
|
Face Detection (Q)
|
100% |
12976
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5999
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5836
45.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
16195
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15554
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14181
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
50436
65.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2720
100.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2938
108.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9660
357.7 IPS |
|
|
Text Classification (SP)
|
100% |
2488
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
4107
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3707
63.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2581
44.5 IPS |
