LENOVO 81CN
Geekbench AI Score
1094
Single Precision Score
541
Half Precision Score
1468
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | April 30 2025 10:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-8250U |
| 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% |
850
158.1 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
96% |
1480
276.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
809
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1389
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
2669
3.16 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (Q)
|
58% |
974
106.4 IPS |
|
|
Face Detection (SP)
|
100% |
1452
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
566
6.72 IPS |
|
|
Face Detection (Q)
|
96% |
2585
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2028
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
730
5.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
3366
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3586
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2559
3.29 IPS |
|
|
Style Transfer (Q)
|
87% |
4993
6.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
792
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1121
41.6 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
406
541.8 IPS |
|
|
Text Classification (Q)
|
97% |
282
378.4 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (Q)
|
68% |
1093
21.1 IPS |
