| Upload Date | November 10 2025 01:08 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| 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 | Silent |
| 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% |
2194
407.9 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.6 IPS |
|
|
Image Classification (Q)
|
99% |
5271
983.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8013
130.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5508
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4520
5.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
19688
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
86% |
6289
505.5 IPS |
|
|
Face Detection (SP)
|
100% |
5030
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
1419
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
8187
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6111
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2083
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15214
121.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12503
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11981
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28337
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2375
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
563
750.9 IPS |
|
|
Text Classification (Q)
|
97% |
1147
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2020
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2630
52.9 IPS |