LENOVO 82HS
Geekbench AI Score
533
Single Precision Score
274
Half Precision Score
1140
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hfalshareef |
| Upload Date | October 20 2025 10:43 PM |
| Views | 2 |
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
147.8 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
99% |
2572
479.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
824
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
553
0.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
2227
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.70 IPS |
|
|
Object Detection (Q)
|
86% |
788
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
749
8.89 IPS |
|
|
Face Detection (HP)
|
100% |
258
3.07 IPS |
|
|
Face Detection (Q)
|
97% |
1346
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
715
5.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
314
2.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
1871
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1476
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1201
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
3602
4.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
239
8.82 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
792
29.3 IPS |
|
|
Text Classification (SP)
|
100% |
234
311.7 IPS |
|
|
Text Classification (HP)
|
100% |
138
184.5 IPS |
|
|
Text Classification (Q)
|
97% |
257
344.6 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.28 IPS |
|
|
Machine Translation (HP)
|
100% |
149
2.56 IPS |
|
|
Machine Translation (Q)
|
65% |
541
10.9 IPS |
