| User | seepranavg |
| Upload Date | November 01 2025 03:07 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5625U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82TV |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5625U |
| 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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
1560
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2283
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
5035
5.95 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
58% |
1642
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
2090
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
834
9.91 IPS |
|
|
Face Detection (Q)
|
96% |
4379
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3288
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1179
9.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
5064
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5911
7.60 IPS |
|
|
Style Transfer (HP)
|
100% |
4868
6.26 IPS |
|
|
Style Transfer (Q)
|
87% |
7808
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1521
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
462
616.0 IPS |
|
|
Text Classification (Q)
|
97% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
68% |
1435
27.7 IPS |