LENOVO 81CN
Geekbench AI Score
1854
Single Precision Score
1793
Half Precision Score
2836
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | October 31 2025 07:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81CN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1135
211.1 IPS |
|
|
Image Classification (HP)
|
100% |
1140
211.9 IPS |
|
|
Image Classification (Q)
|
100% |
1956
363.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2099
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2411
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1746
2.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
3351
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
1113
88.3 IPS |
|
|
Object Detection (HP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (Q)
|
87% |
2029
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
2085
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
5250
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3088
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3032
23.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5332
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5834
7.50 IPS |
|
|
Style Transfer (HP)
|
100% |
5994
7.71 IPS |
|
|
Style Transfer (Q)
|
98% |
13020
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2778
102.9 IPS |
|
|
Text Classification (SP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (Q)
|
91% |
644
865.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1851
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1850
31.9 IPS |
