| User | OMD |
| Upload Date | January 30 2026 10:23 PM |
| Views | 1 |
| 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% |
1095
203.7 IPS |
|
|
Image Classification (HP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (Q)
|
100% |
1002
186.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1134
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10554
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18628
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
8879
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1267
100.5 IPS |
|
|
Object Detection (HP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (Q)
|
88% |
1122
90.0 IPS |
|
|
Face Detection (SP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (Q)
|
97% |
2352
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5952
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8274
63.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4670
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18548
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30423
39.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14945
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2565
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
546
730.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
70% |
717
13.5 IPS |