| Upload Date | November 15 2025 02:45 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M K |
| Motherboard | Gigabyte Technology Co., Ltd. B650M K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2778
516.5 IPS |
|
|
Image Classification (HP)
|
100% |
586
108.9 IPS |
|
|
Image Classification (Q)
|
99% |
8678
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7712
125.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4713
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4155
4.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
21261
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2206
175.0 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
86% |
7008
563.2 IPS |
|
|
Face Detection (SP)
|
100% |
3623
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
1418
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
9260
110.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6044
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2060
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7321
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10181
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9633
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17197
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1710
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5655
209.4 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1750
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2781
55.9 IPS |