LENOVO 82WU
Geekbench AI Score
1800
Single Precision Score
711
Half Precision Score
3685
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ATQ |
| Upload Date | April 09 2025 05:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82WU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1905
354.3 IPS |
|
|
Image Classification (HP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (Q)
|
99% |
3497
652.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
2212
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1526
1.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
6656
7.80 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
86% |
3766
302.7 IPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (Q)
|
97% |
5837
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2723
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
918
7.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
7934
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5853
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3955
5.08 IPS |
|
|
Style Transfer (Q)
|
98% |
11196
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2676
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
1076
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
404
539.8 IPS |
|
|
Text Classification (Q)
|
97% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
65% |
1468
29.5 IPS |
