| Upload Date | January 04 2026 10:57 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | GEEKOM A9 Max |
| Motherboard | Standard A9 Max |
| Power Plan | Utilisation normale |
| 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% |
3303
614.3 IPS |
|
|
Image Classification (HP)
|
100% |
5305
986.6 IPS |
|
|
Image Classification (Q)
|
100% |
2882
536.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3552
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5578
90.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3436
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
44749
52.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
104809
122.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31380
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
100% |
4284
339.8 IPS |
|
|
Object Detection (Q)
|
87% |
2155
173.1 IPS |
|
|
Face Detection (SP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (HP)
|
100% |
11094
131.8 IPS |
|
|
Face Detection (Q)
|
97% |
5077
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18082
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
32360
249.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
13632
109.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78264
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
155763
200.2 IPS |
|
|
Style Transfer (Q)
|
98% |
50367
64.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14055
519.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27357
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9249
342.5 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2049
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4203
72.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1768
33.2 IPS |