LENOVO 81CN
Geekbench AI Score
1339
Single Precision Score
2025
Half Precision Score
1904
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | October 08 2024 09:34 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| 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% |
969
180.3 IPS |
|
|
Image Classification (HP)
|
100% |
1469
273.3 IPS |
|
|
Image Classification (Q)
|
100% |
1350
251.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1619
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (HP)
|
99% |
2175
2.55 IPS |
|
|
Pose Estimation (Q)
|
97% |
3087
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (HP)
|
99% |
1400
111.4 IPS |
|
|
Object Detection (Q)
|
88% |
1300
104.3 IPS |
|
|
Face Detection (SP)
|
100% |
1870
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
3207
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2550
19.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4613
35.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4132
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6599
8.48 IPS |
|
|
Style Transfer (HP)
|
100% |
8892
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7660
9.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2011
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1864
69.0 IPS |
|
|
Text Classification (SP)
|
71% |
565
817.5 IPS |
|
|
Text Classification (HP)
|
71% |
653
944.4 IPS |
|
|
Text Classification (Q)
|
92% |
480
645.3 IPS |
|
|
Machine Translation (SP)
|
100% |
562
9.69 IPS |
|
|
Machine Translation (HP)
|
97% |
780
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
789
13.6 IPS |
