LENOVO 82U9
Geekbench AI Score
1982
Single Precision Score
1869
Half Precision Score
4708
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Laptop_Testers |
| Upload Date | September 14 2025 11:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82U9 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
996
185.3 IPS |
|
|
Image Classification (HP)
|
100% |
1005
186.8 IPS |
|
|
Image Classification (Q)
|
100% |
3206
596.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3160
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2634
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
8683
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (Q)
|
88% |
3354
268.8 IPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
5061
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3011
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2502
19.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
8061
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8033
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8209
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24251
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5400
200.0 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2810
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1208
20.8 IPS |
