LENOVO 82HS
Geekbench AI Score
1271
Single Precision Score
678
Half Precision Score
3178
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hfalshareef |
| Upload Date | December 03 2025 03:39 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% |
889
165.4 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (Q)
|
99% |
3031
565.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
2821
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1895
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1549
1.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
7224
8.47 IPS |
|
|
Object Detection (SP)
|
100% |
872
69.2 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
86% |
2491
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
709
8.43 IPS |
|
|
Face Detection (Q)
|
97% |
4205
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2353
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1003
7.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
5767
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4545
5.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3627
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
8878
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2550
94.4 IPS |
|
|
Text Classification (SP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.2 IPS |
|
|
Text Classification (Q)
|
97% |
890
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
65% |
1401
28.2 IPS |
