LENOVO 82U9
Geekbench AI Score
3674
Single Precision Score
5290
Half Precision Score
7957
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Laptop_Testers |
| Upload Date | September 06 2025 05:43 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2211
411.1 IPS |
|
|
Image Classification (HP)
|
100% |
3232
601.0 IPS |
|
|
Image Classification (Q)
|
99% |
4517
842.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3712
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6701
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8632
139.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6654
7.76 IPS |
|
|
Pose Estimation (HP)
|
99% |
5405
6.31 IPS |
|
|
Pose Estimation (Q)
|
97% |
24136
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
100% |
3129
248.2 IPS |
|
|
Object Detection (Q)
|
90% |
4943
395.2 IPS |
|
|
Face Detection (SP)
|
100% |
6490
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
9703
115.3 IPS |
|
|
Face Detection (Q)
|
100% |
13827
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7546
58.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12819
99.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
12225
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18518
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31587
40.6 IPS |
|
|
Style Transfer (Q)
|
98% |
61514
79.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3309
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5682
209.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10701
396.3 IPS |
|
|
Text Classification (SP)
|
71% |
1065
1.54 KIPS |
|
|
Text Classification (HP)
|
71% |
1174
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
1127
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1791
30.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1745
30.2 IPS |
