LENOVO 20W9S06700
Geekbench AI Score
2567
Single Precision Score
3378
Half Precision Score
5341
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:43 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% |
1494
277.9 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
99% |
2575
480.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3977
64.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5346
86.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6221
7.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
4456
5.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
19285
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
100% |
2203
174.7 IPS |
|
|
Object Detection (Q)
|
90% |
3338
266.9 IPS |
|
|
Face Detection (SP)
|
100% |
4706
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
6916
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
10835
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7673
59.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11103
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15057
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21007
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42274
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3333
123.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6419
237.7 IPS |
|
|
Text Classification (SP)
|
71% |
523
756.5 IPS |
|
|
Text Classification (HP)
|
71% |
628
909.1 IPS |
|
|
Text Classification (Q)
|
92% |
597
802.4 IPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1109
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1095
18.9 IPS |
