ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
2591
Single Precision Score
2823
Half Precision Score
7184
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lumpek |
| Upload Date | October 02 2025 12:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA |
| Motherboard | ASUSTeK COMPUTER INC. S5606CA |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
785
145.9 IPS |
|
|
Image Classification (HP)
|
100% |
1085
201.7 IPS |
|
|
Image Classification (Q)
|
100% |
4034
750.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4707
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3785
4.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
11994
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (Q)
|
88% |
3791
303.9 IPS |
|
|
Face Detection (SP)
|
100% |
3925
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
4864
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
10641
126.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4298
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4447
34.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
12239
95.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11329
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10205
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37789
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2041
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8225
304.6 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
4577
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2291
39.5 IPS |
