| Upload Date | November 16 2025 07:51 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% |
1645
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
2111
392.6 IPS |
|
|
Image Classification (Q)
|
99% |
2662
496.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4138
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5067
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
4776
5.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
20681
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
100% |
2149
170.5 IPS |
|
|
Object Detection (Q)
|
90% |
2890
231.1 IPS |
|
|
Face Detection (SP)
|
100% |
4532
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7115
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
10583
125.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5968
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8935
69.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
12855
100.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15283
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21325
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
44733
57.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2296
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3418
126.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6272
232.3 IPS |
|
|
Text Classification (SP)
|
71% |
588
850.0 IPS |
|
|
Text Classification (HP)
|
71% |
609
881.1 IPS |
|
|
Text Classification (Q)
|
92% |
636
854.6 IPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1145
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |