LENOVO 81WB
Geekbench AI Score
1063
Single Precision Score
474
Half Precision Score
1593
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ZMALKRAYDMI |
| Upload Date | April 10 2025 12:25 PM |
| Views | 16 |
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% |
964
179.4 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (Q)
|
96% |
1589
296.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
474
7.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1095
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
864
1.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
2074
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
830
65.9 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (Q)
|
58% |
815
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
1650
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (Q)
|
96% |
2957
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1662
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
632
4.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
3369
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3809
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
2330
2.99 IPS |
|
|
Style Transfer (Q)
|
87% |
4393
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1103
40.9 IPS |
|
|
Text Classification (SP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
396
527.9 IPS |
|
|
Text Classification (Q)
|
97% |
746
999.9 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
68% |
998
19.3 IPS |
