| Upload Date | December 12 2025 02:26 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 2700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS ELITE |
| Power Plan | Hchstleistung |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
909
169.1 IPS |
|
|
Image Classification (HP)
|
100% |
263
49.0 IPS |
|
|
Image Classification (Q)
|
96% |
1252
233.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (Q)
|
97% |
1521
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1900
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1668
1.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
2508
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
899
71.3 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
58% |
815
89.1 IPS |
|
|
Face Detection (SP)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
668
7.93 IPS |
|
|
Face Detection (Q)
|
96% |
2522
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2631
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1006
7.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
3128
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5390
6.93 IPS |
|
|
Style Transfer (HP)
|
100% |
4234
5.44 IPS |
|
|
Style Transfer (Q)
|
87% |
5308
6.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
770
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1213
44.9 IPS |
|
|
Text Classification (SP)
|
100% |
606
808.3 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.3 IPS |
|
|
Text Classification (Q)
|
97% |
528
707.5 IPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (Q)
|
68% |
1008
19.5 IPS |