ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S3407CA_S3407CA
Geekbench AI Score
3542
Single Precision Score
1560
Half Precision Score
6768
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 03:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2635
490.1 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.0 IPS |
|
|
Image Classification (Q)
|
99% |
5837
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8052
130.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5990
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4369
5.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
19749
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (Q)
|
86% |
5716
459.4 IPS |
|
|
Face Detection (SP)
|
100% |
6812
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
8140
97.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7561
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2281
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13356
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14700
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10954
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21212
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1880
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4772
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
677
903.3 IPS |
|
|
Text Classification (Q)
|
97% |
1219
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2834
56.9 IPS |
