| Upload Date | December 07 2025 08:06 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A8-7650K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. F2A88X-UP4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD A8-7650K |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 48 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
96% |
376
70.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
159
2.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
288
4.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
426
0.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
731
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
58% |
265
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
96% |
772
9.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
562
4.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
390
3.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
747
5.95 IPS |
|
|
Style Transfer (SP)
|
100% |
1208
1.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1132
1.46 IPS |
|
|
Style Transfer (Q)
|
87% |
1471
1.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
218
8.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
215
7.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
348
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.1 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.9 IPS |
|
|
Text Classification (Q)
|
97% |
191
255.4 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (HP)
|
100% |
168
2.90 IPS |
|
|
Machine Translation (Q)
|
68% |
506
9.78 IPS |