LENOVO 82HS
Geekbench AI Score
897
Single Precision Score
484
Half Precision Score
2261
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hfalshareef |
| Upload Date | December 03 2025 04:15 PM |
| Views | 7 |
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% |
795
147.9 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (Q)
|
99% |
3028
564.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
3027
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1859
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1556
1.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
7104
8.33 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.8 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
86% |
1787
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
460
5.46 IPS |
|
|
Face Detection (Q)
|
97% |
2568
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1124
8.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
587
4.52 IPS |
|
|
Depth Estimation (Q)
|
78% |
4584
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2488
3.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2005
2.58 IPS |
|
|
Style Transfer (Q)
|
98% |
5871
7.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
524
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1600
59.2 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.4 IPS |
|
|
Text Classification (HP)
|
100% |
209
279.1 IPS |
|
|
Text Classification (Q)
|
97% |
346
463.6 IPS |
|
|
Machine Translation (SP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
65% |
785
15.8 IPS |
