ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407CA_S3407CA
Geekbench AI Score
1711
Single Precision Score
6752
Half Precision Score
10326
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 09:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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(R) Core(TM) 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
962
178.9 IPS |
|
|
Image Classification (HP)
|
100% |
3158
587.3 IPS |
|
|
Image Classification (Q)
|
100% |
5252
976.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3261
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2209
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
30625
35.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
62343
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
997
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
4772
378.5 IPS |
|
|
Object Detection (Q)
|
88% |
8237
660.3 IPS |
|
|
Face Detection (SP)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
13898
165.1 IPS |
|
|
Face Detection (Q)
|
100% |
24180
287.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2755
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12589
97.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
21797
169.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6574
8.45 IPS |
|
|
Style Transfer (HP)
|
100% |
37713
48.5 IPS |
|
|
Style Transfer (Q)
|
98% |
62267
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11819
436.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18989
703.2 IPS |
|
|
Text Classification (SP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
1015
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2478
42.7 IPS |
