| Upload Date | February 02 2026 11:57 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3449
641.3 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.2 IPS |
|
|
Image Classification (Q)
|
99% |
7482
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3513
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6267
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5222
6.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
21432
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (HP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (Q)
|
86% |
7884
633.6 IPS |
|
|
Face Detection (SP)
|
100% |
6302
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
8982
107.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7692
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2506
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14382
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13181
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11811
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20204
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2642
97.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4101
151.8 IPS |
|
|
Text Classification (SP)
|
100% |
1727
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1972
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3655
73.4 IPS |