| User | sipos |
| Upload Date | April 17 2025 05:33 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
665
123.6 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.4 IPS |
|
|
Image Classification (Q)
|
100% |
663
123.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
979
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6368
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
10511
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5739
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
87% |
672
54.0 IPS |
|
|
Face Detection (SP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2091
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
1963
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3642
28.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4351
33.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3226
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11139
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16232
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9736
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2818
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3779
139.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2119
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
716
955.3 IPS |
|
|
Text Classification (HP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
500
669.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (Q)
|
70% |
591
11.1 IPS |