| User | sly_ |
| Upload Date | May 19 2025 07:12 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 2700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
943
175.4 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
1284
239.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
978
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2155
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
2620
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
58% |
824
90.0 IPS |
|
|
Face Detection (SP)
|
100% |
2217
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (Q)
|
96% |
2967
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2788
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1041
8.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
2884
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5567
7.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4698
6.04 IPS |
|
|
Style Transfer (Q)
|
87% |
5698
7.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1036
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
617
823.5 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.2 IPS |
|
|
Text Classification (Q)
|
97% |
276
369.8 IPS |
|
|
Machine Translation (SP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1080
20.9 IPS |