| User | mhgsjm |
| Upload Date | October 12 2025 02:12 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7430U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AB8139 LX15PRO |
| Motherboard | Default string EM_ |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7430U with Radeon Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1665
309.5 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
96% |
3575
667.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
4047
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3792
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2898
3.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
7287
8.61 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (Q)
|
58% |
2194
239.7 IPS |
|
|
Face Detection (SP)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
96% |
5286
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4023
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1639
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6731
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8601
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7241
9.31 IPS |
|
|
Style Transfer (Q)
|
87% |
8362
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3053
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1354
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1578
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2007
38.8 IPS |