| User | darronb |
| Upload Date | May 20 2025 05:06 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M-HDV |
| Motherboard | ASRock B550M-HDV |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
1650
306.9 IPS |
|
|
Image Classification (Q)
|
100% |
1223
227.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1268
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11381
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20248
23.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
9692
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (Q)
|
88% |
1364
109.4 IPS |
|
|
Face Detection (SP)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (Q)
|
97% |
2982
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6925
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9741
75.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5462
43.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19622
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32178
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16130
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4394
162.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6453
238.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3046
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
653
874.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (Q)
|
70% |
862
16.2 IPS |