Ideadpad Lenovo - 82MD LENOVO 82MD
Geekbench AI Score
2321
Single Precision Score
2339
Half Precision Score
6321
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| 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% |
1360
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (Q)
|
100% |
4201
781.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4174
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2541
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
9375
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (Q)
|
88% |
4381
351.2 IPS |
|
|
Face Detection (SP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (Q)
|
100% |
10186
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3584
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3517
27.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
10507
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6785
8.72 IPS |
|
|
Style Transfer (HP)
|
100% |
7038
9.05 IPS |
|
|
Style Transfer (Q)
|
98% |
26142
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1523
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5447
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3461
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2711
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2681
46.2 IPS |
