| Upload Date | October 23 2025 10:07 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
99% |
5338
995.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
799
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6582
107.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5064
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3753
4.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
18222
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (Q)
|
86% |
5365
431.1 IPS |
|
|
Face Detection (SP)
|
100% |
6918
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
7858
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7093
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1995
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11289
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12892
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9282
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20481
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2245
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
746
996.1 IPS |
|
|
Text Classification (Q)
|
97% |
1403
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2792
56.1 IPS |