ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
4163
Single Precision Score
9819
Half Precision Score
15089
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ChrissoChrisso |
| Upload Date | June 02 2025 02:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2698
501.7 IPS |
|
|
Image Classification (HP)
|
100% |
6899
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9541
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3595
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2916
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3979
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5957
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
34319
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74697
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
2051
162.7 IPS |
|
|
Object Detection (HP)
|
100% |
6106
484.3 IPS |
|
|
Object Detection (Q)
|
87% |
9935
797.4 IPS |
|
|
Face Detection (SP)
|
100% |
6632
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
16883
200.6 IPS |
|
|
Face Detection (Q)
|
100% |
28795
342.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6265
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19538
150.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
36015
280.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17515
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54657
70.3 IPS |
|
|
Style Transfer (Q)
|
98% |
98705
127.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14084
520.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25078
928.7 IPS |
|
|
Text Classification (SP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1975
2.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2042
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2579
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4145
71.4 IPS |
