| Upload Date | November 10 2025 05:22 PM |
| Views | 1 |
| 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 |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2465
458.4 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
99% |
6589
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3355
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5715
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
4857
5.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
22300
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.1 IPS |
|
|
Object Detection (Q)
|
86% |
6283
505.0 IPS |
|
|
Face Detection (SP)
|
100% |
5763
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
8975
107.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7088
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2153
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
14274
113.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13588
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12971
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28582
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2008
74.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3202
118.6 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
630
840.7 IPS |
|
|
Text Classification (Q)
|
97% |
1619
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1849
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2761
55.5 IPS |