LENOVO 82HS
Geekbench AI Score
1071
Single Precision Score
617
Half Precision Score
2874
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hfalshareef |
| Upload Date | December 12 2025 03:48 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82HS |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
99% |
2138
398.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
2267
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1399
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1189
1.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
6031
7.07 IPS |
|
|
Object Detection (SP)
|
100% |
806
63.9 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (Q)
|
86% |
2187
175.7 IPS |
|
|
Face Detection (SP)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (Q)
|
97% |
3921
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2231
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
5665
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4247
5.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3442
4.42 IPS |
|
|
Style Transfer (Q)
|
98% |
8969
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2690
99.6 IPS |
|
|
Text Classification (SP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
483
644.2 IPS |
|
|
Text Classification (Q)
|
97% |
902
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (Q)
|
65% |
1248
25.1 IPS |
