Ideadpad Lenovo - 82MD LENOVO 82MD
Geekbench AI Score
1718
Single Precision Score
877
Half Precision Score
3822
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:18 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82MD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.7 IPS |
|
|
Image Classification (Q)
|
99% |
3448
643.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
879
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
3663
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2313
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
8000
9.38 IPS |
|
|
Object Detection (SP)
|
100% |
1170
92.8 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
86% |
3104
249.5 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5251
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3316
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1265
9.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
7173
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5421
6.97 IPS |
|
|
Style Transfer (HP)
|
100% |
4390
5.64 IPS |
|
|
Style Transfer (Q)
|
98% |
10914
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2730
101.1 IPS |
|
|
Text Classification (SP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
575
767.9 IPS |
|
|
Text Classification (Q)
|
97% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (Q)
|
65% |
1729
34.7 IPS |
