| Upload Date | November 05 2025 07:17 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
99% |
7596
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3684
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5755
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4908
5.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
21329
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3081
244.4 IPS |
|
|
Object Detection (HP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (Q)
|
86% |
7977
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
1846
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
8821
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8022
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2489
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14953
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14139
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11522
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18372
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2979
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4175
154.6 IPS |
|
|
Text Classification (SP)
|
100% |
1895
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2061
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4455
89.5 IPS |