ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MU_N6506MU
Geekbench AI Score
13133
Single Precision Score
24680
Half Precision Score
10388
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | MiSA |
| Upload Date | March 11 2026 01:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| 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% |
5542
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
10032
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
5063
944.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10236
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15225
246.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9439
153.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57548
67.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
187726
219.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
51863
60.8 IPS |
|
|
Object Detection (SP)
|
100% |
6752
535.6 IPS |
|
|
Object Detection (HP)
|
100% |
12561
996.4 IPS |
|
|
Object Detection (Q)
|
84% |
6185
498.9 IPS |
|
|
Face Detection (SP)
|
100% |
16393
194.8 IPS |
|
|
Face Detection (HP)
|
100% |
29888
355.1 IPS |
|
|
Face Detection (Q)
|
97% |
14150
168.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28276
217.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65030
501.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
19641
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
81478
104.7 IPS |
|
|
Style Transfer (HP)
|
100% |
267968
344.5 IPS |
|
|
Style Transfer (Q)
|
98% |
87528
112.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18912
698.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35498
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13820
511.7 IPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3158
4.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1655
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3988
68.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1716
32.2 IPS |
