ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
2870
Single Precision Score
2832
Half Precision Score
6636
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | July 20 2025 06:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA |
| Motherboard | ASUSTeK COMPUTER INC. S5606MA |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1718
319.5 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.1 IPS |
|
|
Image Classification (Q)
|
100% |
4954
921.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2658
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2656
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4729
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4305
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3131
3.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
11527
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (Q)
|
88% |
3767
301.9 IPS |
|
|
Face Detection (SP)
|
100% |
4593
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (Q)
|
100% |
10135
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4235
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4172
32.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
10248
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10675
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10642
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33789
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1873
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6483
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3398
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2106
36.3 IPS |
