| User | cas1 |
| Upload Date | September 02 2025 02:19 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83LY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2385
443.6 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
99% |
4123
769.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5972
97.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4856
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3477
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
16143
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.5 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.7 IPS |
|
|
Object Detection (Q)
|
86% |
4515
362.8 IPS |
|
|
Face Detection (SP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
6282
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6210
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1533
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10649
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11831
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8298
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17356
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3301
122.2 IPS |
|
|
Text Classification (SP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
505
674.1 IPS |
|
|
Text Classification (Q)
|
97% |
1074
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (Q)
|
65% |
2055
41.3 IPS |