| User | topgun966 |
| Upload Date | November 18 2025 05:00 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW |
| Motherboard | ASUSTeK COMPUTER INC. GA403WW |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1059
197.0 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.2 IPS |
|
|
Image Classification (Q)
|
100% |
1039
193.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3154
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6667
108.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2842
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14872
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
44311
51.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14082
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
4025
319.3 IPS |
|
|
Object Detection (Q)
|
86% |
1650
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
5668
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
11032
131.1 IPS |
|
|
Face Detection (Q)
|
97% |
4830
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7715
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16386
126.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
3666
29.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13740
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58663
75.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11558
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1789
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
251
334.4 IPS |
|
|
Text Classification (HP)
|
100% |
438
585.0 IPS |
|
|
Text Classification (Q)
|
97% |
150
200.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1189
20.5 IPS |
|
|
Machine Translation (Q)
|
70% |
479
8.98 IPS |