LENOVO 82WU
Geekbench AI Score
1542
Single Precision Score
592
Half Precision Score
3048
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ATQ |
| Upload Date | April 11 2025 02:09 PM |
| Views | 11 |
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% |
1788
332.4 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
99% |
3180
593.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
2090
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2056
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1473
1.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
6822
8.00 IPS |
|
|
Object Detection (SP)
|
100% |
963
76.4 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
86% |
2955
237.5 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (Q)
|
97% |
5277
62.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2513
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
841
6.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
5099
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4746
6.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3317
4.26 IPS |
|
|
Style Transfer (Q)
|
98% |
9938
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1423
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
269
358.5 IPS |
|
|
Text Classification (Q)
|
97% |
1037
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
65% |
1310
26.3 IPS |
