LENOVO 82HS
Geekbench AI Score
878
Single Precision Score
433
Half Precision Score
2472
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hfalshareef |
| Upload Date | December 03 2025 04:32 PM |
| Views | 11 |
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% |
695
129.3 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.9 IPS |
|
|
Image Classification (Q)
|
99% |
2098
391.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
2226
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
929
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
4192
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
86% |
2187
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (Q)
|
97% |
3699
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1547
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
556
4.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
3784
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2139
2.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1714
2.20 IPS |
|
|
Style Transfer (Q)
|
98% |
6865
8.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2160
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
655
873.9 IPS |
|
|
Text Classification (HP)
|
100% |
502
670.4 IPS |
|
|
Text Classification (Q)
|
97% |
791
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
65% |
1214
24.4 IPS |
