| Upload Date | November 11 2025 09:27 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
2727
507.1 IPS |
|
|
Image Classification (HP)
|
100% |
2144
398.7 IPS |
|
|
Image Classification (Q)
|
100% |
6573
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3461
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6422
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4663
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4273
4.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
18933
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
2556
202.7 IPS |
|
|
Object Detection (Q)
|
88% |
6969
558.6 IPS |
|
|
Face Detection (SP)
|
100% |
5079
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
15804
187.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4371
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4760
36.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
15155
117.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14794
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13277
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
50644
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2305
85.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10819
400.7 IPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (Q)
|
92% |
4452
5.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3010
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2926
50.4 IPS |