| User | z1phos |
| Upload Date | May 03 2025 02:05 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 81LK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
800
148.8 IPS |
|
|
Image Classification (HP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (Q)
|
100% |
1151
214.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1515
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1826
2.13 IPS |
|
|
Pose Estimation (HP)
|
99% |
1949
2.28 IPS |
|
|
Pose Estimation (Q)
|
97% |
2590
3.03 IPS |
|
|
Object Detection (SP)
|
100% |
748
59.3 IPS |
|
|
Object Detection (HP)
|
99% |
1262
100.4 IPS |
|
|
Object Detection (Q)
|
88% |
1179
94.6 IPS |
|
|
Face Detection (SP)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
3328
39.5 IPS |
|
|
Face Detection (Q)
|
97% |
2947
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2261
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3921
30.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
3549
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5072
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
7115
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
6299
8.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1603
59.4 IPS |
|
|
Text Classification (SP)
|
71% |
599
866.8 IPS |
|
|
Text Classification (HP)
|
71% |
699
1.01 KIPS |
|
|
Text Classification (Q)
|
92% |
536
720.4 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
97% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
954
16.5 IPS |