| Upload Date | December 14 2025 06:09 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | B550 Steel Legend |
| Motherboard | ASRock B550 Steel Legend |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12243
2.28 KIPS |
|
|
Image Classification (HP)
|
100% |
13282
2.47 KIPS |
|
|
Image Classification (Q)
|
99% |
9632
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19587
317.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16839
273.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17430
283.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
173649
202.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
321070
374.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
158704
185.9 IPS |
|
|
Object Detection (SP)
|
100% |
13096
1.04 KIPS |
|
|
Object Detection (HP)
|
99% |
15158
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
11943
959.2 IPS |
|
|
Face Detection (SP)
|
100% |
40523
481.5 IPS |
|
|
Face Detection (HP)
|
100% |
46090
547.6 IPS |
|
|
Face Detection (Q)
|
97% |
34991
417.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
66475
512.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
84892
654.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
53001
424.7 IPS |
|
|
Style Transfer (SP)
|
100% |
314487
404.3 IPS |
|
|
Style Transfer (HP)
|
100% |
504860
649.0 IPS |
|
|
Style Transfer (Q)
|
98% |
272200
351.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35208
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51570
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28873
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2144
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2780
52.1 IPS |