| User | ahofmann |
| Upload Date | January 17 2026 10:29 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| 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% |
3144
584.7 IPS |
|
|
Image Classification (HP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (Q)
|
99% |
7661
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10824
176.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7075
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5682
6.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
28537
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3153
250.1 IPS |
|
|
Object Detection (HP)
|
100% |
839
66.5 IPS |
|
|
Object Detection (Q)
|
86% |
7879
633.2 IPS |
|
|
Face Detection (SP)
|
100% |
6742
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
10866
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2610
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15461
123.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16821
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15399
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33157
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1658
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
1634
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1501
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3355
67.4 IPS |