| User | sipos |
| Upload Date | January 22 2025 04:08 PM |
| Views | 15 |
| 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 9 9950X 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% |
655
121.7 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.8 IPS |
|
|
Image Classification (Q)
|
100% |
654
121.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
976
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6355
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
10245
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
5660
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
87% |
675
54.2 IPS |
|
|
Face Detection (SP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2091
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
1971
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3673
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4322
33.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3207
25.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11072
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16084
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9726
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2785
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2081
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.2 IPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
507
679.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
70% |
603
11.3 IPS |