| Upload Date | October 21 2025 07:21 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DV |
| 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 | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2788
518.4 IPS |
|
|
Image Classification (HP)
|
100% |
2853
530.6 IPS |
|
|
Image Classification (Q)
|
100% |
6590
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6959
112.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5643
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5633
6.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
20949
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (Q)
|
88% |
7128
571.4 IPS |
|
|
Face Detection (SP)
|
100% |
6954
82.6 IPS |
|
|
Face Detection (HP)
|
100% |
6842
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
16033
190.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7194
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7138
55.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
17511
136.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16952
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16641
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
57779
74.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3340
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3340
123.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11095
410.9 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
4346
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3873
66.7 IPS |