LENOVO 82RL
Geekbench AI Score
1611
Single Precision Score
830
Half Precision Score
3170
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 09:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1215U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 82RL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1215U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1186
220.6 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
99% |
2841
529.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1982
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2581
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1841
2.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
7879
9.24 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (Q)
|
86% |
2645
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
808
9.60 IPS |
|
|
Face Detection (Q)
|
97% |
4221
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3284
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1271
9.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
6168
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5891
7.57 IPS |
|
|
Style Transfer (HP)
|
100% |
4690
6.03 IPS |
|
|
Style Transfer (Q)
|
98% |
7637
9.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2220
82.2 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
517
690.0 IPS |
|
|
Text Classification (Q)
|
97% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1428
28.7 IPS |
