LENOVO 20W9S06700
Geekbench AI Score
2034
Single Precision Score
3318
Half Precision Score
5077
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 02:19 AM |
| Views | 2 |
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 | Power saver |
| 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% |
1194
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
2156
401.0 IPS |
|
|
Image Classification (Q)
|
99% |
2919
544.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3847
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4922
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (HP)
|
99% |
3644
4.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
15572
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (HP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (Q)
|
90% |
3185
254.7 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6503
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
9765
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3859
29.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8626
66.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
11480
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8933
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18953
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27525
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3290
121.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6422
237.8 IPS |
|
|
Text Classification (SP)
|
71% |
569
823.5 IPS |
|
|
Text Classification (HP)
|
71% |
655
947.2 IPS |
|
|
Text Classification (Q)
|
92% |
660
886.5 IPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1287
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1223
21.1 IPS |
