LENOVO 82HS
Geekbench AI Score
1154
Single Precision Score
644
Half Precision Score
2985
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hfalshareef |
| Upload Date | October 20 2025 10:26 PM |
| Views | 10 |
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% |
728
135.3 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
99% |
2480
462.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
458
7.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2537
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1721
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1440
1.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
6439
7.55 IPS |
|
|
Object Detection (SP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (Q)
|
86% |
2396
192.6 IPS |
|
|
Face Detection (SP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (Q)
|
97% |
3872
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2124
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
935
7.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
5145
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4112
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3558
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
8693
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2673
99.0 IPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
469
626.5 IPS |
|
|
Text Classification (Q)
|
97% |
966
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
65% |
1295
26.0 IPS |
