LENOVO 82U9
Geekbench AI Score
1648
Single Precision Score
709
Half Precision Score
3271
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Laptop_Testers |
| Upload Date | September 06 2025 05:32 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1156
215.0 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.6 IPS |
|
|
Image Classification (Q)
|
99% |
2300
429.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
3587
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2496
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1540
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
7966
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
1138
90.3 IPS |
|
|
Object Detection (HP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (Q)
|
86% |
2503
201.2 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
97% |
4023
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3164
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1030
7.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
6473
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6135
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
4351
5.59 IPS |
|
|
Style Transfer (Q)
|
98% |
11130
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2442
90.4 IPS |
|
|
Text Classification (SP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
415
554.1 IPS |
|
|
Text Classification (Q)
|
97% |
857
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (Q)
|
65% |
1406
28.3 IPS |
