| User | zarushi |
| Upload Date | April 18 2025 07:54 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education N (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S UD |
| Motherboard | Gigabyte Technology Co., Ltd. X570S UD |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6344
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
10341
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
4749
885.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9734
157.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14877
241.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7809
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71094
83.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
186598
217.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
58377
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
7483
593.6 IPS |
|
|
Object Detection (HP)
|
100% |
12991
1.03 KIPS |
|
|
Object Detection (Q)
|
84% |
5765
465.0 IPS |
|
|
Face Detection (SP)
|
100% |
17268
205.2 IPS |
|
|
Face Detection (HP)
|
100% |
28120
334.1 IPS |
|
|
Face Detection (Q)
|
97% |
13587
162.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
35687
274.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
66893
516.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
24553
196.5 IPS |
|
|
Style Transfer (SP)
|
100% |
120002
154.3 IPS |
|
|
Style Transfer (HP)
|
100% |
300662
386.5 IPS |
|
|
Style Transfer (Q)
|
98% |
95308
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21677
800.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36051
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13682
506.6 IPS |
|
|
Text Classification (SP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
3103
4.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1231
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3689
63.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1419
26.6 IPS |