LENOVO 20W9S06700
Geekbench AI Score
2438
Single Precision Score
3233
Half Precision Score
4761
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:37 AM |
| Views | 1 |
System Information
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1524
283.4 IPS |
|
|
Image Classification (HP)
|
100% |
2244
417.4 IPS |
|
|
Image Classification (Q)
|
99% |
2102
392.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3918
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3166
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5653
6.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
3586
4.18 IPS |
|
|
Pose Estimation (Q)
|
97% |
17429
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (HP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (Q)
|
90% |
2780
222.3 IPS |
|
|
Face Detection (SP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
6597
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
10045
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5792
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8325
64.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11105
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14827
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20610
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
40793
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3221
118.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6059
224.4 IPS |
|
|
Text Classification (SP)
|
71% |
431
623.5 IPS |
|
|
Text Classification (HP)
|
71% |
539
779.0 IPS |
|
|
Text Classification (Q)
|
92% |
576
773.9 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1017
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1170
20.2 IPS |
