LENOVO 81WB
Geekbench AI Score
1011
Single Precision Score
462
Half Precision Score
1371
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ZMALKRAYDMI |
| Upload Date | April 12 2025 10:41 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81WB |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.8 IPS |
|
|
Image Classification (Q)
|
96% |
856
159.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
1452
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2892
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
998
1.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
2105
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
58% |
605
66.1 IPS |
|
|
Face Detection (SP)
|
100% |
1395
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
357
4.24 IPS |
|
|
Face Detection (Q)
|
96% |
1719
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
471
3.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
2112
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3135
4.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3140
4.04 IPS |
|
|
Style Transfer (Q)
|
87% |
3983
5.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
562
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
740
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
457
609.6 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.8 IPS |
|
|
Text Classification (Q)
|
97% |
965
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
223
3.85 IPS |
|
|
Machine Translation (Q)
|
68% |
1441
27.8 IPS |
