LENOVO 20W9S06700
Geekbench AI Score
903
Single Precision Score
478
Half Precision Score
1950
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 02:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| 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% |
697
129.6 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (Q)
|
99% |
1961
365.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1291
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1356
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
918
1.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
5130
6.01 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.1 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
86% |
1648
132.4 IPS |
|
|
Face Detection (SP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
518
6.16 IPS |
|
|
Face Detection (Q)
|
97% |
2618
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1464
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
568
4.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
3801
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2483
3.19 IPS |
|
|
Style Transfer (HP)
|
100% |
2006
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
6394
8.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1761
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
579
773.0 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.6 IPS |
|
|
Text Classification (Q)
|
97% |
269
360.5 IPS |
|
|
Machine Translation (SP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
65% |
1233
24.8 IPS |
