ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV
Geekbench AI Score
2723
Single Precision Score
1112
Half Precision Score
4839
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | masterr |
| Upload Date | December 25 2024 06:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV |
| Motherboard | ASUSTeK COMPUTER INC. N6506MV |
| Power Plan | Balanced |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (Q)
|
99% |
4176
778.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2520
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4842
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
17575
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
86% |
4553
365.9 IPS |
|
|
Face Detection (SP)
|
100% |
5193
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
5892
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5955
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1653
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10947
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11399
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7910
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16013
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2869
106.2 IPS |
|
|
Text Classification (SP)
|
100% |
1021
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.9 IPS |
|
|
Text Classification (Q)
|
97% |
1268
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1438
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.60 IPS |
|
|
Machine Translation (Q)
|
65% |
2228
44.8 IPS |
