| User | Naeem_Malik |
| Upload Date | April 24 2025 03:57 PM |
| Views | 7 |
| 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 | Micro Computer (HK) Tech Limited AI Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8BAC |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3091
574.8 IPS |
|
|
Image Classification (HP)
|
100% |
665
123.6 IPS |
|
|
Image Classification (Q)
|
99% |
7602
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4000
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7035
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
5721
6.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
25402
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3098
245.8 IPS |
|
|
Object Detection (HP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (Q)
|
86% |
8072
648.7 IPS |
|
|
Face Detection (SP)
|
100% |
6511
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
1705
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
10975
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8794
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2698
20.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17407
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16556
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14636
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34460
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2401
88.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3662
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
1592
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.3 IPS |
|
|
Text Classification (Q)
|
97% |
1697
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2202
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3968
79.7 IPS |