ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
3845
Single Precision Score
4673
Half Precision Score
11059
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 08:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1218
226.6 IPS |
|
|
Image Classification (HP)
|
100% |
3863
718.4 IPS |
|
|
Image Classification (Q)
|
100% |
8592
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6875
111.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5943
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
5457
6.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
21167
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
100% |
3328
264.0 IPS |
|
|
Object Detection (Q)
|
88% |
8884
712.1 IPS |
|
|
Face Detection (SP)
|
100% |
6604
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
8515
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
15716
186.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6477
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6570
50.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
19453
151.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18237
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16183
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
58264
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3281
121.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3318
122.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12342
457.1 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (Q)
|
92% |
4720
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4173
71.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2376
40.9 IPS |
