| Upload Date | January 01 2026 08:19 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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 | Zrwnowaony |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2637
490.4 IPS |
|
|
Image Classification (HP)
|
100% |
5345
994.0 IPS |
|
|
Image Classification (Q)
|
100% |
2383
443.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4236
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5888
95.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3402
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
44767
52.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
99539
116.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31099
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
2104
166.9 IPS |
|
|
Object Detection (HP)
|
100% |
3254
258.1 IPS |
|
|
Object Detection (Q)
|
87% |
1994
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
6172
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
11062
131.4 IPS |
|
|
Face Detection (Q)
|
97% |
5231
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17030
131.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29424
226.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13138
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
71826
92.3 IPS |
|
|
Style Transfer (HP)
|
100% |
129333
166.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46694
60.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10959
404.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26052
962.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7733
286.3 IPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1754
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1748
32.8 IPS |