LENOVO 81CN
Geekbench AI Score
1146
Single Precision Score
562
Half Precision Score
1530
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | February 21 2025 01:31 PM |
| Views | 10 |
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% |
912
169.5 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.4 IPS |
|
|
Image Classification (Q)
|
96% |
1600
298.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
884
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1461
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1155
1.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
2867
3.39 IPS |
|
|
Object Detection (SP)
|
100% |
798
63.3 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
58% |
961
105.0 IPS |
|
|
Face Detection (SP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (Q)
|
96% |
2698
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2132
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
776
5.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
3536
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3683
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2809
3.61 IPS |
|
|
Style Transfer (Q)
|
87% |
5261
6.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1220
45.2 IPS |
|
|
Text Classification (SP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
410
546.8 IPS |
|
|
Text Classification (Q)
|
97% |
299
400.6 IPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
68% |
989
19.1 IPS |
