| User | UrkMrl |
| Upload Date | March 27 2025 04:33 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 580X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.88 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3277
609.4 IPS |
|
|
Image Classification (HP)
|
100% |
3653
679.4 IPS |
|
|
Image Classification (Q)
|
100% |
2677
497.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3851
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4147
67.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3244
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
48694
56.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
52160
60.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
38353
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
3621
287.2 IPS |
|
|
Object Detection (HP)
|
100% |
3670
291.1 IPS |
|
|
Object Detection (Q)
|
88% |
3010
241.3 IPS |
|
|
Face Detection (SP)
|
100% |
9378
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
11632
138.2 IPS |
|
|
Face Detection (Q)
|
97% |
7493
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19479
150.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21611
167.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
14119
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
82580
106.2 IPS |
|
|
Style Transfer (HP)
|
100% |
93124
119.7 IPS |
|
|
Style Transfer (Q)
|
98% |
64029
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12410
458.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13240
488.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7817
289.5 IPS |
|
|
Text Classification (SP)
|
100% |
1204
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
718
962.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1870
32.3 IPS |
|
|
Machine Translation (Q)
|
70% |
913
17.1 IPS |