| Upload Date | December 16 2025 08:53 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 | JGINYUE B650I Night Devil |
| Motherboard | JGINYUE B650I Night Devil |
| Power Plan | Alto desempenho |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4330
805.2 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (Q)
|
99% |
9207
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11293
183.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5980
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
5769
6.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
26662
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
4031
319.8 IPS |
|
|
Object Detection (HP)
|
100% |
891
70.7 IPS |
|
|
Object Detection (Q)
|
86% |
9197
739.2 IPS |
|
|
Face Detection (SP)
|
100% |
7295
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11349
135.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9568
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2902
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11481
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17344
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14489
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26898
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2690
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6697
248.0 IPS |
|
|
Text Classification (SP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1950
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2666
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3761
75.6 IPS |