| User | ahofmann |
| Upload Date | January 17 2026 10:33 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3503
651.5 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
100% |
9954
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4188
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4118
66.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11260
182.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7541
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
7642
8.92 IPS |
|
|
Pose Estimation (Q)
|
98% |
30155
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
3385
268.5 IPS |
|
|
Object Detection (HP)
|
100% |
3456
274.1 IPS |
|
|
Object Detection (Q)
|
88% |
9486
760.4 IPS |
|
|
Face Detection (SP)
|
100% |
8335
99.0 IPS |
|
|
Face Detection (HP)
|
100% |
8233
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
24957
296.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8917
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8851
68.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
23127
180.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21279
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20964
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
80021
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4617
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4558
168.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14837
549.5 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2799
3.74 KIPS |
|
|
Text Classification (Q)
|
92% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4279
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5311
91.5 IPS |