| User | aloncy |
| Upload Date | May 28 2025 10:27 PM |
| Views | 7 |
| Notes | GHelper TURBO STANDARD auto on plug - iGPU |
| 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% |
3295
612.7 IPS |
|
|
Image Classification (HP)
|
100% |
656
122.1 IPS |
|
|
Image Classification (Q)
|
99% |
7788
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4199
68.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8435
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
6640
7.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
30804
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3331
264.2 IPS |
|
|
Object Detection (HP)
|
100% |
897
71.1 IPS |
|
|
Object Detection (Q)
|
86% |
8669
696.7 IPS |
|
|
Face Detection (SP)
|
100% |
6391
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
1861
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
11841
141.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9475
73.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3165
24.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18269
145.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18912
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16912
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35345
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2781
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2585
95.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4296
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1719
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4182
84.0 IPS |