| User | Naeem_Malik |
| Upload Date | May 06 2025 10:19 PM |
| Views | 8 |
| 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 | 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% |
3473
645.8 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.0 IPS |
|
|
Image Classification (Q)
|
100% |
9854
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3954
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4032
65.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11246
182.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7348
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
7271
8.48 IPS |
|
|
Pose Estimation (Q)
|
98% |
30303
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
3189
253.0 IPS |
|
|
Object Detection (HP)
|
100% |
3341
265.0 IPS |
|
|
Object Detection (Q)
|
88% |
9815
786.8 IPS |
|
|
Face Detection (SP)
|
100% |
8458
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
8223
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
24479
290.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9359
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9501
73.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
25012
194.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20590
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20448
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
79335
102.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4620
170.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4581
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14690
544.0 IPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (Q)
|
92% |
3885
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4177
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5216
89.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5655
97.4 IPS |