ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607CA_S3607CA
Geekbench AI Score
2777
Single Precision Score
1189
Half Precision Score
4969
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 10:32 AM |
| Views | 5 |
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 16 S3607CA_S3607CA |
| Motherboard | ASUSTeK COMPUTER INC. S3607CA |
| 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% |
1852
344.4 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (Q)
|
99% |
4886
911.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2661
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4843
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3574
4.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
15782
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1931
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
4527
363.8 IPS |
|
|
Face Detection (SP)
|
100% |
4277
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
6676
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5983
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1792
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10661
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11056
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9238
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15080
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2081
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3165
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
596
795.8 IPS |
|
|
Text Classification (Q)
|
97% |
1278
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (Q)
|
65% |
2278
45.8 IPS |
