| User | cubti101 |
| Upload Date | February 01 2026 10:59 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 MC16255 |
| Motherboard | Dell Inc. 0G8G0T |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3660
680.6 IPS |
|
|
Image Classification (HP)
|
100% |
5794
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
3297
613.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5159
83.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6249
101.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4116
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
50851
59.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
111867
130.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
37658
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
2840
225.2 IPS |
|
|
Object Detection (HP)
|
100% |
4667
370.2 IPS |
|
|
Object Detection (Q)
|
87% |
2526
202.9 IPS |
|
|
Face Detection (SP)
|
100% |
7243
86.1 IPS |
|
|
Face Detection (HP)
|
100% |
13988
166.2 IPS |
|
|
Face Detection (Q)
|
97% |
6059
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22548
173.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36670
282.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
16728
134.2 IPS |
|
|
Style Transfer (SP)
|
100% |
88510
113.8 IPS |
|
|
Style Transfer (HP)
|
100% |
159821
205.5 IPS |
|
|
Style Transfer (Q)
|
98% |
61252
79.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15579
575.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28699
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10269
380.3 IPS |
|
|
Text Classification (SP)
|
100% |
2642
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4178
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4687
80.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1967
36.9 IPS |