LENOVO 82H7
Geekbench AI Score
1613
Single Precision Score
852
Half Precision Score
3915
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1155G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 82H7 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1155G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1470
273.4 IPS |
|
|
Image Classification (HP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (Q)
|
99% |
3658
682.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
4072
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2478
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
7361
8.63 IPS |
|
|
Object Detection (SP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (HP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (Q)
|
86% |
2747
220.8 IPS |
|
|
Face Detection (SP)
|
100% |
2056
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
811
9.63 IPS |
|
|
Face Detection (Q)
|
97% |
4651
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2476
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1049
8.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
6485
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4551
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
4052
5.21 IPS |
|
|
Style Transfer (Q)
|
98% |
11077
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3918
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
666
889.0 IPS |
|
|
Text Classification (Q)
|
97% |
1287
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1669
33.5 IPS |
