LENOVO 81CN
Geekbench AI Score
1340
Single Precision Score
2036
Half Precision Score
1899
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | February 21 2025 02:15 PM |
| Views | 8 |
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% |
980
182.3 IPS |
|
|
Image Classification (HP)
|
100% |
1469
273.2 IPS |
|
|
Image Classification (Q)
|
100% |
1364
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1669
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2166
2.53 IPS |
|
|
Pose Estimation (HP)
|
99% |
2151
2.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
3065
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
806
63.9 IPS |
|
|
Object Detection (HP)
|
99% |
1403
111.6 IPS |
|
|
Object Detection (Q)
|
88% |
1302
104.4 IPS |
|
|
Face Detection (SP)
|
100% |
1896
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (Q)
|
97% |
3240
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2603
20.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4611
35.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
4146
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6347
8.16 IPS |
|
|
Style Transfer (HP)
|
100% |
8904
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7857
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1182
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1841
68.2 IPS |
|
|
Text Classification (SP)
|
71% |
573
828.6 IPS |
|
|
Text Classification (HP)
|
71% |
691
1.00 KIPS |
|
|
Text Classification (Q)
|
92% |
453
608.1 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
97% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
766
13.2 IPS |
