| Upload Date | November 07 2025 10:10 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 WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| 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% |
3488
648.6 IPS |
|
|
Image Classification (HP)
|
100% |
746
138.8 IPS |
|
|
Image Classification (Q)
|
99% |
7571
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8226
133.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6160
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5193
6.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
21587
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
3253
258.0 IPS |
|
|
Object Detection (HP)
|
100% |
954
75.7 IPS |
|
|
Object Detection (Q)
|
86% |
8011
643.8 IPS |
|
|
Face Detection (SP)
|
100% |
6490
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
1964
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
10067
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7910
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2600
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16251
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15584
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12765
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20501
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2600
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5637
208.7 IPS |
|
|
Text Classification (SP)
|
100% |
2175
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1885
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5140
103.3 IPS |