| User | kot-ubitsa |
| Upload Date | December 15 2025 10:17 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Windows 10 LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M S2H |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1843
342.7 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
96% |
4106
766.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
1797
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3607
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
3095
3.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
9483
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1888
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.9 IPS |
|
|
Object Detection (Q)
|
58% |
2376
259.6 IPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (Q)
|
96% |
6876
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6030
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1893
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9038
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9826
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8282
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
13140
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1903
70.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2721
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
1392
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
650
867.8 IPS |
|
|
Text Classification (Q)
|
97% |
441
591.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2538
49.0 IPS |