ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
3050
Single Precision Score
8954
Half Precision Score
14059
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | July 20 2025 06:48 PM |
| Views | 7 |
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 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% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
6375
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
9022
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2647
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2438
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4395
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
30240
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
65803
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
5351
424.4 IPS |
|
|
Object Detection (Q)
|
88% |
9283
744.3 IPS |
|
|
Face Detection (SP)
|
100% |
5217
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
15452
183.6 IPS |
|
|
Face Detection (Q)
|
100% |
29316
348.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4682
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17546
135.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
32379
251.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10885
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48523
62.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87856
113.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14312
528.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27876
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1925
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2342
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3964
68.3 IPS |
