LENOVO 81WB
Geekbench AI Score
500
Single Precision Score
264
Half Precision Score
691
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | AkashChetri |
| Upload Date | December 23 2024 03:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10110U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81WB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10110U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (HP)
|
100% |
134
25.0 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
495
8.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
667
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
1118
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.6 IPS |
|
|
Object Detection (Q)
|
58% |
358
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
342
4.07 IPS |
|
|
Face Detection (Q)
|
96% |
1100
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
738
5.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
350
2.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
987
7.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1455
1.87 IPS |
|
|
Style Transfer (HP)
|
100% |
1044
1.34 IPS |
|
|
Style Transfer (Q)
|
87% |
2007
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
232
8.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
444
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.9 IPS |
|
|
Text Classification (HP)
|
100% |
185
246.5 IPS |
|
|
Text Classification (Q)
|
97% |
364
487.8 IPS |
|
|
Machine Translation (SP)
|
100% |
512
8.83 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (Q)
|
68% |
568
11.0 IPS |
