| User | sipos |
| Upload Date | January 21 2025 01:21 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
660
122.7 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.8 IPS |
|
|
Image Classification (Q)
|
100% |
657
122.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
974
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6369
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
10527
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5727
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (Q)
|
87% |
678
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
2128
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
1978
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3695
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4350
33.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3232
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11150
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16173
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9794
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2806
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3714
137.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2113
78.3 IPS |
|
|
Text Classification (SP)
|
100% |
733
978.5 IPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
506
677.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (Q)
|
70% |
605
11.3 IPS |