ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MJ_Q533MJ
Geekbench AI Score
1776
Single Precision Score
1878
Half Precision Score
1365
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ja7ad |
| Upload Date | November 18 2025 11:02 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MJ_Q533MJ |
| Motherboard | ASUSTeK COMPUTER INC. N6506MJ |
| 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 | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 38.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
1521
282.9 IPS |
|
|
Image Classification (Q)
|
99% |
851
158.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1012
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2058
2.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2939
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (Q)
|
85% |
1028
82.8 IPS |
|
|
Face Detection (SP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2570
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
1955
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2008
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2093
16.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1776
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2388
3.07 IPS |
|
|
Style Transfer (HP)
|
100% |
2385
3.07 IPS |
|
|
Style Transfer (Q)
|
98% |
5145
6.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1504
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (Q)
|
92% |
640
859.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (Q)
|
58% |
504
11.8 IPS |
