| User | ahofmann |
| Upload Date | January 17 2026 10:31 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| Power Plan | Hchstleistung |
| 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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
4838
899.7 IPS |
|
|
Image Classification (Q)
|
100% |
2232
415.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3494
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5622
91.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3274
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
41689
48.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
95628
111.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
28741
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
100% |
3608
286.2 IPS |
|
|
Object Detection (Q)
|
87% |
1974
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
6120
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
10931
129.9 IPS |
|
|
Face Detection (Q)
|
97% |
5140
61.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16915
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27494
211.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13624
109.3 IPS |
|
|
Style Transfer (SP)
|
100% |
75670
97.3 IPS |
|
|
Style Transfer (HP)
|
100% |
136809
175.9 IPS |
|
|
Style Transfer (Q)
|
98% |
45542
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11878
438.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25242
932.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7167
265.4 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1695
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1735
32.5 IPS |