| User | cz1982 |
| Upload Date | November 23 2025 03:03 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 80VR |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (Q)
|
100% |
1956
363.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2249
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2154
2.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
3929
4.61 IPS |
|
|
Object Detection (SP)
|
100% |
1036
82.2 IPS |
|
|
Object Detection (HP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (Q)
|
87% |
1617
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
4260
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2750
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2750
21.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
4415
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6243
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
6231
8.01 IPS |
|
|
Style Transfer (Q)
|
98% |
11133
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1268
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1269
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2279
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (Q)
|
91% |
680
914.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2113
36.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2091
36.0 IPS |