ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MU_N6506MU
Geekbench AI Score
2940
Single Precision Score
2922
Half Precision Score
6718
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | MiSA |
| Upload Date | March 11 2026 01:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MU_N6506MU |
| Motherboard | ASUSTeK COMPUTER INC. N6506MU |
| Power Plan | Kiegyenslyozott |
| 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% |
1472
273.8 IPS |
|
|
Image Classification (HP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (Q)
|
100% |
4939
918.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4066
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5063
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5183
6.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
14057
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
100% |
1438
114.0 IPS |
|
|
Object Detection (Q)
|
88% |
4199
336.6 IPS |
|
|
Face Detection (SP)
|
100% |
4520
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
4531
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
9423
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4559
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4418
34.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10540
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13569
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13565
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35277
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6951
257.4 IPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
3257
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2043
35.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1993
34.3 IPS |
