LENOVO 81CN
Geekbench AI Score
980
Single Precision Score
304
Half Precision Score
1196
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | gbdora |
| Upload Date | August 16 2024 09:40 AM |
| Views | 15 |
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% |
601
111.8 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.1 IPS |
|
|
Image Classification (Q)
|
97% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
818
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1411
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (Q)
|
87% |
2708
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.20 IPS |
|
|
Object Detection (Q)
|
86% |
700
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
134
1.59 IPS |
|
|
Face Detection (Q)
|
96% |
1499
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1961
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
389
3.00 IPS |
|
|
Depth Estimation (Q)
|
76% |
1967
15.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3811
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
2623
3.37 IPS |
|
|
Style Transfer (Q)
|
87% |
5111
6.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1177
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
352
469.7 IPS |
|
|
Text Classification (Q)
|
97% |
275
368.1 IPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.97 IPS |
|
|
Machine Translation (Q)
|
60% |
816
18.2 IPS |
