| User | datamushroom |
| Upload Date | February 20 2026 09:12 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GPD G1628-04 |
| Motherboard | GPD G1628-04 |
| Power Plan | Balanced |
| 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% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
1576
293.1 IPS |
|
|
Image Classification (Q)
|
100% |
1287
239.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2872
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
40963
47.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
82366
96.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
32337
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
2254
178.8 IPS |
|
|
Object Detection (HP)
|
100% |
3300
261.7 IPS |
|
|
Object Detection (Q)
|
87% |
1978
158.8 IPS |
|
|
Face Detection (SP)
|
100% |
6307
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
10396
123.5 IPS |
|
|
Face Detection (Q)
|
97% |
5236
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14297
110.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18834
145.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11493
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49187
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
82105
105.5 IPS |
|
|
Style Transfer (Q)
|
98% |
39345
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9673
357.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15490
572.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6708
248.4 IPS |
|
|
Text Classification (SP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1992
2.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1070
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (Q)
|
70% |
916
17.2 IPS |