| User | slimg |
| Upload Date | July 16 2025 02:01 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8365U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | LENOVO 20QES6LS00 |
| Motherboard | LENOVO 20QES6LS00 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.27 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
1088
202.3 IPS |
|
|
Image Classification (Q)
|
100% |
2086
387.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2282
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1247
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1301
1.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
2714
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
945
75.0 IPS |
|
|
Object Detection (HP)
|
100% |
974
77.2 IPS |
|
|
Object Detection (Q)
|
87% |
1940
155.6 IPS |
|
|
Face Detection (SP)
|
100% |
2300
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
5189
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2114
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2177
16.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
4033
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4271
5.49 IPS |
|
|
Style Transfer (HP)
|
100% |
4399
5.66 IPS |
|
|
Style Transfer (Q)
|
98% |
10061
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1090
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2578
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
1640
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (Q)
|
91% |
734
986.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1654
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1627
28.0 IPS |