LENOVO 81WD
Geekbench AI Score
1157
Single Precision Score
1159
Half Precision Score
3421
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Laptop_Testers |
| Upload Date | October 14 2025 04:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-1005G1 CPU @ 1.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81WD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
702
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.3 IPS |
|
|
Image Classification (Q)
|
100% |
2256
419.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1922
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1402
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1381
1.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
5586
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
88% |
2290
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
1284
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
100% |
5035
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1837
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1840
14.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
5952
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3720
4.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3756
4.83 IPS |
|
|
Style Transfer (Q)
|
98% |
14072
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
815
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2902
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (Q)
|
92% |
2176
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1488
25.6 IPS |
