| User | aloncy |
| Upload Date | May 28 2025 07:00 PM |
| Views | 8 |
| Notes | GHelper Balanced Eco Auto On plug - iGPU - 890M |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WU_FA401WU |
| Motherboard | ASUSTeK COMPUTER INC. FA401WU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3130
582.0 IPS |
|
|
Image Classification (HP)
|
100% |
672
124.9 IPS |
|
|
Image Classification (Q)
|
99% |
7659
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4141
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8113
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6447
7.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
28908
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3077
244.1 IPS |
|
|
Object Detection (HP)
|
100% |
863
68.4 IPS |
|
|
Object Detection (Q)
|
86% |
8307
667.6 IPS |
|
|
Face Detection (SP)
|
100% |
6383
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
11726
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8850
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3129
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17048
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16977
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16322
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33726
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2521
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2451
90.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4103
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
1690
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1689
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3723
74.8 IPS |