| User | fang1121cs |
| Upload Date | December 20 2024 02:39 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Power Plan | Balanced |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.5 IPS |
|
|
Image Classification (Q)
|
100% |
701
130.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1212
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1055
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6763
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
11164
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
6144
7.20 IPS |
|
|
Object Detection (SP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
87% |
721
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
2256
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4033
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4768
36.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3531
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11422
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16504
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10147
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2871
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3836
141.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2197
81.4 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.6 IPS |
|
|
Text Classification (HP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
529
708.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
70% |
637
11.9 IPS |