V14 Lenovo - 82NM LENOVO 82NM
Geekbench AI Score
1405
Single Precision Score
1572
Half Precision Score
4137
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:32 PM |
| Views | 8 |
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 Home Single Language (64-bit) |
| Model | LENOVO 82NM |
| 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% |
1467
272.8 IPS |
|
|
Image Classification (HP)
|
100% |
1484
275.9 IPS |
|
|
Image Classification (Q)
|
100% |
4175
776.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2432
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1280
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
4888
5.73 IPS |
|
|
Object Detection (SP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (HP)
|
100% |
1289
102.2 IPS |
|
|
Object Detection (Q)
|
88% |
4209
337.4 IPS |
|
|
Face Detection (SP)
|
100% |
2411
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
6642
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1442
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2025
15.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
4410
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3103
3.99 IPS |
|
|
Style Transfer (HP)
|
100% |
4022
5.17 IPS |
|
|
Style Transfer (Q)
|
98% |
19061
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
724
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
693
25.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3673
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
1503
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2690
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1530
26.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1276
22.0 IPS |
