LENOVO 82WU
Geekbench AI Score
1665
Single Precision Score
689
Half Precision Score
3367
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ATQ |
| Upload Date | April 12 2025 03:49 PM |
| Views | 6 |
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% |
1830
340.4 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
99% |
3222
600.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
2258
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1520
1.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
7251
8.50 IPS |
|
|
Object Detection (SP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
86% |
3335
268.0 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
700
8.32 IPS |
|
|
Face Detection (Q)
|
97% |
4831
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2715
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
868
6.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
6105
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5252
6.75 IPS |
|
|
Style Transfer (HP)
|
100% |
3864
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
10115
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
987
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2470
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
409
546.3 IPS |
|
|
Text Classification (Q)
|
97% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
65% |
1360
27.3 IPS |
