| Upload Date | January 04 2026 12:52 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M K |
| Motherboard | Gigabyte Technology Co., Ltd. B450M K-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2600
483.5 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.6 IPS |
|
|
Image Classification (Q)
|
96% |
3910
730.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2281
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4603
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3954
4.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
9069
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
713
56.6 IPS |
|
|
Object Detection (Q)
|
58% |
2727
297.9 IPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
1407
16.7 IPS |
|
|
Face Detection (Q)
|
96% |
6552
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5903
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1936
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8009
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11428
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9888
12.7 IPS |
|
|
Style Transfer (Q)
|
87% |
10236
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2290
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2721
100.8 IPS |
|
|
Text Classification (SP)
|
100% |
1442
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.6 IPS |
|
|
Text Classification (Q)
|
97% |
1424
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2834
54.8 IPS |