LENOVO 82WU
Geekbench AI Score
1987
Single Precision Score
719
Half Precision Score
3555
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ATQ |
| Upload Date | April 09 2025 05:38 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% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
3488
650.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2443
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2878
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1718
2.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
7492
8.78 IPS |
|
|
Object Detection (SP)
|
100% |
1648
130.7 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
86% |
3011
242.0 IPS |
|
|
Face Detection (SP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (Q)
|
97% |
5991
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3687
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
924
7.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
7118
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5553
7.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4005
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
11023
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1995
73.9 IPS |
|
|
Text Classification (SP)
|
100% |
976
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
429
572.2 IPS |
|
|
Text Classification (Q)
|
97% |
1259
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (Q)
|
65% |
1424
28.6 IPS |
