| Upload Date | December 14 2025 06:09 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2898
538.9 IPS |
|
|
Image Classification (HP)
|
100% |
617
114.8 IPS |
|
|
Image Classification (Q)
|
99% |
7507
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10559
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6735
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5597
6.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
26929
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
2905
230.5 IPS |
|
|
Object Detection (HP)
|
100% |
800
63.4 IPS |
|
|
Object Detection (Q)
|
86% |
7142
574.0 IPS |
|
|
Face Detection (SP)
|
100% |
6269
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
1865
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
11328
135.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7701
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2620
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16468
131.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15975
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14504
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31482
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2367
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1897
70.3 IPS |
|
|
Text Classification (SP)
|
100% |
1678
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1471
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2060
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2756
55.4 IPS |