| User | OMD |
| Upload Date | January 31 2026 01:41 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP EliteDesk 805 G6 Desktop Mini PC |
| Motherboard | HP 872C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 4650G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1142
212.3 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (Q)
|
100% |
1010
187.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1153
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10877
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19236
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
9057
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (Q)
|
88% |
1160
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (Q)
|
97% |
2454
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6316
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8570
66.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4956
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18875
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30124
38.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15235
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5813
214.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2654
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
561
751.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (Q)
|
70% |
736
13.8 IPS |