ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
3517
Single Precision Score
1416
Half Precision Score
7055
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | HARMFUL |
| Upload Date | November 26 2025 07:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| 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 | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2905
540.3 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
99% |
6744
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8759
142.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5613
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
20392
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (Q)
|
86% |
7472
600.5 IPS |
|
|
Face Detection (SP)
|
100% |
6610
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
8039
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7602
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1700
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13504
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13938
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10126
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17727
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1767
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4292
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
1589
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1432
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2872
57.7 IPS |
