| Upload Date | December 20 2025 12:10 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403WW_GA403WW |
| Motherboard | ASUSTeK COMPUTER INC. GA403WW |
| Power Plan | Performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10809
2.01 KIPS |
|
|
Image Classification (HP)
|
100% |
17394
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9424
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17920
290.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26035
422.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15688
255.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
115778
135.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
352046
410.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
107742
126.2 IPS |
|
|
Object Detection (SP)
|
100% |
12268
973.1 IPS |
|
|
Object Detection (HP)
|
100% |
22073
1.75 KIPS |
|
|
Object Detection (Q)
|
86% |
10540
846.8 IPS |
|
|
Face Detection (SP)
|
100% |
33065
392.9 IPS |
|
|
Face Detection (HP)
|
100% |
53782
639.1 IPS |
|
|
Face Detection (Q)
|
97% |
28720
342.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
52329
403.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
116769
899.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
42460
339.2 IPS |
|
|
Style Transfer (SP)
|
100% |
183559
236.0 IPS |
|
|
Style Transfer (HP)
|
100% |
686747
882.8 IPS |
|
|
Style Transfer (Q)
|
98% |
165737
213.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33277
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61138
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26307
974.1 IPS |
|
|
Text Classification (SP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4087
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2102
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5422
93.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2220
41.6 IPS |