| User | GregoR_44 |
| Upload Date | December 12 2025 05:58 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 MercedesAMG AI+ A3XWGG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FM |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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% |
2896
538.5 IPS |
|
|
Image Classification (HP)
|
100% |
4865
904.8 IPS |
|
|
Image Classification (Q)
|
100% |
2743
510.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4079
66.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5806
94.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3353
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
46137
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
107594
125.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32655
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
3964
314.4 IPS |
|
|
Object Detection (Q)
|
87% |
2202
176.9 IPS |
|
|
Face Detection (SP)
|
100% |
6137
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
11607
137.9 IPS |
|
|
Face Detection (Q)
|
97% |
5196
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19911
153.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33311
256.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
14471
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
83388
107.2 IPS |
|
|
Style Transfer (HP)
|
100% |
159848
205.5 IPS |
|
|
Style Transfer (Q)
|
98% |
52378
67.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14649
540.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25138
928.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9063
335.6 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2832
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1643
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4079
70.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1734
32.5 IPS |