LENOVO 20L8S3LJ01
Geekbench AI Score
914
Single Precision Score
451
Half Precision Score
1331
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 15 2025 12:07 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8650U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20L8S3LJ01 |
| Motherboard | LENOVO 20L8S3LJ01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8650U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
761
141.4 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (Q)
|
96% |
722
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
639
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1110
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1053
1.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
2623
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
674
53.4 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
58% |
799
87.3 IPS |
|
|
Face Detection (SP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
506
6.01 IPS |
|
|
Face Detection (Q)
|
96% |
2243
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1578
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
706
5.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
2637
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3333
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2559
3.29 IPS |
|
|
Style Transfer (Q)
|
87% |
3849
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1115
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
665
888.2 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.5 IPS |
|
|
Text Classification (Q)
|
97% |
689
922.6 IPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
68% |
1039
20.1 IPS |
