ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MJ_Q533MJ
Geekbench AI Score
2547
Single Precision Score
1069
Half Precision Score
1996
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | alaskaFinnMac |
| Upload Date | December 26 2024 09:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MJ_Q533MJ |
| Motherboard | ASUSTeK COMPUTER INC. N6506MJ |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1095
203.6 IPS |
|
|
Image Classification (HP)
|
0% |
0
663.6 IPS |
|
|
Image Classification (Q)
|
100% |
993
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5451
88.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1047
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10468
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15928
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9092
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1057
83.9 IPS |
|
|
Object Detection (HP)
|
0% |
0
296.5 IPS |
|
|
Object Detection (Q)
|
86% |
953
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
942
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
6799
80.8 IPS |
|
|
Face Detection (Q)
|
97% |
869
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5929
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
16920
130.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
4969
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32826
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50376
64.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23878
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5889
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7592
280.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3986
147.6 IPS |
|
|
Text Classification (SP)
|
86% |
620
838.5 IPS |
|
|
Text Classification (HP)
|
99% |
447
596.4 IPS |
|
|
Text Classification (Q)
|
84% |
435
590.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (Q)
|
70% |
624
11.7 IPS |
