Ideadpad Iris Lenovo - 82MD LENOVO 82MD
Geekbench AI Score
3045
Single Precision Score
4385
Half Precision Score
6711
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:36 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
3044
566.0 IPS |
|
|
Image Classification (Q)
|
99% |
4030
751.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2642
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5314
86.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6150
99.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9194
10.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
7062
8.24 IPS |
|
|
Pose Estimation (Q)
|
97% |
27067
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
3223
255.6 IPS |
|
|
Object Detection (Q)
|
90% |
4748
379.6 IPS |
|
|
Face Detection (SP)
|
100% |
4436
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
8744
103.9 IPS |
|
|
Face Detection (Q)
|
100% |
13883
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8012
61.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12614
97.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16806
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22448
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30063
38.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34266
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2077
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8085
299.4 IPS |
|
|
Text Classification (SP)
|
71% |
408
590.2 IPS |
|
|
Text Classification (HP)
|
71% |
594
858.8 IPS |
|
|
Text Classification (Q)
|
92% |
508
682.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1748
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1772
30.6 IPS |
