| Upload Date | October 17 2025 08:50 AM |
| Views | 9 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3275
609.0 IPS |
|
|
Image Classification (HP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (Q)
|
99% |
7509
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3522
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6266
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5149
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
21441
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3174
251.8 IPS |
|
|
Object Detection (HP)
|
100% |
898
71.3 IPS |
|
|
Object Detection (Q)
|
86% |
7828
629.1 IPS |
|
|
Face Detection (SP)
|
100% |
7506
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
9899
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7822
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2730
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16289
130.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15170
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12153
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27577
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2990
110.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2565
94.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4160
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
914
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2013
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4295
86.3 IPS |