LENOVO 81CN
Geekbench AI Score
1207
Single Precision Score
605
Half Precision Score
1649
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | October 31 2025 06:53 AM |
| Views | 5 |
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% |
839
156.0 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (Q)
|
96% |
1545
288.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
1255
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1212
1.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
2896
3.42 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
58% |
1013
110.7 IPS |
|
|
Face Detection (SP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
601
7.14 IPS |
|
|
Face Detection (Q)
|
96% |
2727
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2155
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
842
6.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
3267
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4510
5.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2909
3.74 IPS |
|
|
Style Transfer (Q)
|
87% |
5572
7.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1528
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
473
631.3 IPS |
|
|
Text Classification (Q)
|
97% |
310
415.5 IPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
68% |
1117
21.6 IPS |
