| Upload Date | November 10 2025 07:31 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 | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| 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% |
3096
575.7 IPS |
|
|
Image Classification (HP)
|
100% |
4655
865.7 IPS |
|
|
Image Classification (Q)
|
100% |
2248
418.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3518
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5942
96.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3498
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47304
55.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
100062
116.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32550
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
4050
321.3 IPS |
|
|
Object Detection (Q)
|
87% |
2251
180.8 IPS |
|
|
Face Detection (SP)
|
100% |
6461
76.8 IPS |
|
|
Face Detection (HP)
|
100% |
12502
148.5 IPS |
|
|
Face Detection (Q)
|
97% |
5116
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19684
151.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33462
257.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14892
119.4 IPS |
|
|
Style Transfer (SP)
|
100% |
84399
108.5 IPS |
|
|
Style Transfer (HP)
|
100% |
160107
205.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51120
65.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14083
520.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25692
948.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8729
323.2 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1873
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1838
34.5 IPS |