LENOVO 82U9
Geekbench AI Score
1662
Single Precision Score
1607
Half Precision Score
4259
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Laptop_Testers |
| Upload Date | September 06 2025 05:39 AM |
| Views | 13 |
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% |
807
150.1 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.7 IPS |
|
|
Image Classification (Q)
|
100% |
3050
567.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1935
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2075
2.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
7463
8.74 IPS |
|
|
Object Detection (SP)
|
100% |
863
68.4 IPS |
|
|
Object Detection (HP)
|
100% |
825
65.4 IPS |
|
|
Object Detection (Q)
|
88% |
2963
237.5 IPS |
|
|
Face Detection (SP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (Q)
|
100% |
6261
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2344
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2150
16.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
6907
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6752
8.68 IPS |
|
|
Style Transfer (HP)
|
100% |
6735
8.66 IPS |
|
|
Style Transfer (Q)
|
98% |
21164
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1166
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4910
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
1167
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1213
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
2679
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1250
21.5 IPS |
