ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
2568
Single Precision Score
9515
Half Precision Score
15346
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lumpek |
| Upload Date | October 02 2025 12:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1618
300.8 IPS |
|
|
Image Classification (HP)
|
100% |
5820
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
9472
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3535
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3848
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
34759
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73896
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
1298
102.9 IPS |
|
|
Object Detection (HP)
|
100% |
5202
412.6 IPS |
|
|
Object Detection (Q)
|
88% |
10130
812.1 IPS |
|
|
Face Detection (SP)
|
100% |
4014
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
16082
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
32416
385.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4042
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18492
142.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34824
271.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10030
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56124
72.1 IPS |
|
|
Style Transfer (Q)
|
98% |
99776
128.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14030
518.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30350
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2056
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4114
70.9 IPS |
