LENOVO 80YL
Geekbench AI Score
798
Single Precision Score
471
Half Precision Score
992
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | November 12 2025 11:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7500U |
| System Information | |
|---|---|
| Operating System | Windows 10 Enterprise N LTSC (64-bit) |
| Model | LENOVO 80YL |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (Q)
|
96% |
976
182.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
567
9.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
843
0.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
1708
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
58% |
487
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
1197
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
497
5.91 IPS |
|
|
Face Detection (Q)
|
96% |
1528
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1479
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
1801
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2535
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
1879
2.42 IPS |
|
|
Style Transfer (Q)
|
87% |
3246
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
882
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
504
672.4 IPS |
|
|
Text Classification (HP)
|
100% |
419
559.0 IPS |
|
|
Text Classification (Q)
|
97% |
277
371.5 IPS |
|
|
Machine Translation (SP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (Q)
|
68% |
923
17.8 IPS |
