LENOVO 82WU
Geekbench AI Score
2046
Single Precision Score
831
Half Precision Score
4254
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | wjaltufeihi |
| Upload Date | March 06 2026 04:30 AM |
| Views | 19 |
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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
3703
690.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5726
93.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4125
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1830
2.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
8183
9.59 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
86% |
3966
318.7 IPS |
|
|
Face Detection (SP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
6257
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2727
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
992
7.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
7586
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5675
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3742
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
11336
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3110
115.1 IPS |
|
|
Text Classification (SP)
|
100% |
1106
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.5 IPS |
|
|
Text Classification (Q)
|
97% |
1131
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1493
30.0 IPS |
