| User | ImAchillefs |
| Upload Date | October 25 2025 05:48 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Pro4 |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2616
486.4 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.3 IPS |
|
|
Image Classification (Q)
|
100% |
2249
418.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3707
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3954
64.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3129
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
48191
56.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
50785
59.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
38987
45.7 IPS |
|
|
Object Detection (SP)
|
100% |
3053
242.2 IPS |
|
|
Object Detection (HP)
|
100% |
3239
256.9 IPS |
|
|
Object Detection (Q)
|
88% |
2523
202.3 IPS |
|
|
Face Detection (SP)
|
100% |
8863
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
11281
134.0 IPS |
|
|
Face Detection (Q)
|
97% |
6985
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16649
128.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18942
146.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12162
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
74848
96.2 IPS |
|
|
Style Transfer (HP)
|
100% |
85300
109.7 IPS |
|
|
Style Transfer (Q)
|
98% |
58294
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10826
399.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11877
438.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6759
250.3 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
617
827.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1910
33.0 IPS |
|
|
Machine Translation (Q)
|
70% |
873
16.4 IPS |