| Upload Date | November 16 2025 07:34 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | LENOVO 20W9S06700 |
| Motherboard | LENOVO 20W9S06700 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2176
404.8 IPS |
|
|
Image Classification (HP)
|
100% |
3226
600.0 IPS |
|
|
Image Classification (Q)
|
99% |
4277
797.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2632
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4334
70.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5345
86.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6256
7.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
4703
5.49 IPS |
|
|
Pose Estimation (Q)
|
97% |
19992
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (Q)
|
90% |
3228
258.1 IPS |
|
|
Face Detection (SP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
7219
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
10721
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5978
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9234
71.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
12233
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15350
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21053
27.1 IPS |
|
|
Style Transfer (Q)
|
98% |
41207
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2368
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3261
120.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5916
219.1 IPS |
|
|
Text Classification (SP)
|
71% |
530
766.9 IPS |
|
|
Text Classification (HP)
|
71% |
471
680.7 IPS |
|
|
Text Classification (Q)
|
92% |
548
736.8 IPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1075
18.6 IPS |