| User | Naeem_Malik |
| Upload Date | May 06 2025 10:23 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% |
2988
555.8 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.5 IPS |
|
|
Image Classification (Q)
|
99% |
7261
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3892
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7200
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
5778
6.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
28347
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
3219
255.4 IPS |
|
|
Object Detection (HP)
|
100% |
837
66.4 IPS |
|
|
Object Detection (Q)
|
86% |
7917
636.3 IPS |
|
|
Face Detection (SP)
|
100% |
6762
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
9043
107.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9229
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3024
23.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16725
133.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17244
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15679
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35436
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2531
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4140
153.3 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
626
835.1 IPS |
|
|
Text Classification (Q)
|
97% |
1664
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3912
78.6 IPS |