LENOVO 82WU
Geekbench AI Score
1975
Single Precision Score
827
Half Precision Score
4346
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | wjaltufeihi |
| Upload Date | March 08 2026 02:16 AM |
| Views | 3 |
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% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
451
84.0 IPS |
|
|
Image Classification (Q)
|
99% |
3720
693.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5782
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2406
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1784
2.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
7487
8.78 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
86% |
3767
302.7 IPS |
|
|
Face Detection (SP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
6453
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2873
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
8666
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5735
7.37 IPS |
|
|
Style Transfer (HP)
|
100% |
4113
5.29 IPS |
|
|
Style Transfer (Q)
|
98% |
11882
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
807
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3164
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
525
700.8 IPS |
|
|
Text Classification (Q)
|
97% |
1181
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.66 IPS |
|
|
Machine Translation (Q)
|
65% |
1597
32.1 IPS |
