| User | masterr |
| Upload Date | April 20 2025 04:16 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV |
| Motherboard | ASUSTeK COMPUTER INC. N6506MV |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1103
205.1 IPS |
|
|
Image Classification (HP)
|
100% |
3987
741.4 IPS |
|
|
Image Classification (Q)
|
100% |
962
178.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5231
84.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1033
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10271
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15998
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8819
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
99% |
4034
320.9 IPS |
|
|
Object Detection (Q)
|
86% |
965
77.6 IPS |
|
|
Face Detection (SP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (HP)
|
100% |
5887
70.0 IPS |
|
|
Face Detection (Q)
|
97% |
796
9.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
5946
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
16818
130.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
4936
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31368
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55212
71.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23905
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5922
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9675
357.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3840
142.2 IPS |
|
|
Text Classification (SP)
|
86% |
721
974.8 IPS |
|
|
Text Classification (HP)
|
99% |
615
820.9 IPS |
|
|
Text Classification (Q)
|
84% |
496
673.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1908
32.9 IPS |
|
|
Machine Translation (Q)
|
70% |
807
15.1 IPS |