| Upload Date | September 20 2025 02:35 AM |
| Views | 32 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX PRO 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited N5 PRO |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F8NAA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX PRO 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3338
620.8 IPS |
|
|
Image Classification (HP)
|
100% |
3488
648.6 IPS |
|
|
Image Classification (Q)
|
100% |
9005
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4134
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4061
65.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10873
176.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5825
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
5670
6.62 IPS |
|
|
Pose Estimation (Q)
|
98% |
30871
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2953
234.2 IPS |
|
|
Object Detection (HP)
|
100% |
3256
258.3 IPS |
|
|
Object Detection (Q)
|
88% |
8459
678.1 IPS |
|
|
Face Detection (SP)
|
100% |
8337
99.1 IPS |
|
|
Face Detection (HP)
|
100% |
8511
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
23272
276.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9510
73.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9458
72.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
24479
190.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21220
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22798
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
78413
101.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4613
170.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4356
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14351
531.5 IPS |
|
|
Text Classification (SP)
|
100% |
3113
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (Q)
|
92% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2431
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3670
63.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4737
81.6 IPS |