LENOVO 82HS
Geekbench AI Score
669
Single Precision Score
344
Half Precision Score
1956
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hfalshareef |
| Upload Date | December 12 2025 02:39 PM |
| Views | 4 |
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% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (Q)
|
99% |
1922
358.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
715
0.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
4044
4.74 IPS |
|
|
Object Detection (SP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (Q)
|
86% |
2077
166.9 IPS |
|
|
Face Detection (SP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (Q)
|
97% |
3473
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1266
9.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
552
4.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
4293
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2341
3.01 IPS |
|
|
Style Transfer (HP)
|
100% |
1931
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
6187
7.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.12 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1153
42.7 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.8 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.1 IPS |
|
|
Text Classification (Q)
|
97% |
293
392.4 IPS |
|
|
Machine Translation (SP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.83 IPS |
|
|
Machine Translation (Q)
|
65% |
768
15.4 IPS |
