ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S3607CA_S3607CA
Geekbench AI Score
4783
Single Precision Score
6326
Half Precision Score
3203
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 10:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2667
496.0 IPS |
|
|
Image Classification (HP)
|
100% |
2987
555.5 IPS |
|
|
Image Classification (Q)
|
99% |
2151
401.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5463
88.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2070
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15218
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21200
24.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11166
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
3123
247.7 IPS |
|
|
Object Detection (HP)
|
100% |
3515
278.8 IPS |
|
|
Object Detection (Q)
|
87% |
2410
193.5 IPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
6761
80.3 IPS |
|
|
Face Detection (Q)
|
97% |
2719
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10305
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15149
116.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7796
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37619
48.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56213
72.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22208
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6118
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7439
274.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3428
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
662
886.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (Q)
|
70% |
889
16.7 IPS |
