| User | Naeem_Malik |
| Upload Date | May 06 2025 10:25 PM |
| Views | 13 |
| 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 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% |
2408
447.9 IPS |
|
|
Image Classification (HP)
|
100% |
4704
874.9 IPS |
|
|
Image Classification (Q)
|
100% |
2603
484.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4071
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5494
89.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3385
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
42472
49.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
93602
109.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30036
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
2049
162.6 IPS |
|
|
Object Detection (HP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (Q)
|
87% |
1930
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
6020
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
10610
126.1 IPS |
|
|
Face Detection (Q)
|
97% |
5213
62.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16343
125.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24452
188.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12684
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
68889
88.6 IPS |
|
|
Style Transfer (HP)
|
100% |
119264
153.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46096
59.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8502
313.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24716
912.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6380
236.3 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3339
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1535
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1478
27.7 IPS |