| User | GadgetVisioi |
| Upload Date | December 20 2024 06:25 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83GS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450HX |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1545
287.3 IPS |
|
|
Image Classification (HP)
|
100% |
1467
272.9 IPS |
|
|
Image Classification (Q)
|
100% |
3853
716.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3502
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3141
3.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3326
3.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
12199
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (Q)
|
88% |
4025
322.6 IPS |
|
|
Face Detection (SP)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4297
51.1 IPS |
|
|
Face Detection (Q)
|
100% |
9818
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4409
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4443
34.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11107
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9514
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9875
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33910
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6640
245.9 IPS |
|
|
Text Classification (SP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2679
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2728
47.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2717
46.8 IPS |