V14 Lenovo - 82NM LENOVO 82NM
Geekbench AI Score
1426
Single Precision Score
722
Half Precision Score
3362
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | johnny_capivara |
| Upload Date | December 24 2025 09:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| 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% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
99% |
3081
574.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
677
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
2348
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1813
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1345
1.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
5648
6.62 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (HP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
86% |
2718
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (Q)
|
97% |
4758
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2715
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1153
8.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
6478
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4581
5.89 IPS |
|
|
Style Transfer (HP)
|
100% |
3994
5.13 IPS |
|
|
Style Transfer (Q)
|
98% |
11409
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3140
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
516
688.7 IPS |
|
|
Text Classification (Q)
|
97% |
1006
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
65% |
1499
30.1 IPS |
