| User | Venturouster17 |
| Upload Date | September 03 2025 05:20 PM |
| Views | 9 |
| 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. ROG Zephyrus G16 GU605MV_GU605MV |
| Motherboard | ASUSTeK COMPUTER INC. GU605MV |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2164
402.4 IPS |
|
|
Image Classification (HP)
|
100% |
4066
756.1 IPS |
|
|
Image Classification (Q)
|
100% |
1802
335.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7005
113.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2370
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12265
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17211
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10663
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.8 IPS |
|
|
Object Detection (HP)
|
99% |
4341
345.3 IPS |
|
|
Object Detection (Q)
|
86% |
1907
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (Q)
|
97% |
3329
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
17369
134.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
6551
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37022
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
56719
72.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27713
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6390
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9559
353.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3270
121.1 IPS |
|
|
Text Classification (SP)
|
86% |
699
945.9 IPS |
|
|
Text Classification (HP)
|
99% |
609
812.8 IPS |
|
|
Text Classification (Q)
|
84% |
520
705.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (Q)
|
70% |
881
16.5 IPS |