LENOVO 81WD
Geekbench AI Score
1107
Single Precision Score
1794
Half Precision Score
1807
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Laptop_Testers |
| Upload Date | October 14 2025 05:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
719
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
1227
228.2 IPS |
|
|
Image Classification (Q)
|
100% |
1138
211.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1438
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2350
2.74 IPS |
|
|
Pose Estimation (HP)
|
99% |
1720
2.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
3979
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (HP)
|
99% |
1250
99.5 IPS |
|
|
Object Detection (Q)
|
88% |
1185
95.0 IPS |
|
|
Face Detection (SP)
|
100% |
1241
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
2739
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
2591
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2279
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4171
32.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
3748
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5824
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
9693
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8648
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1600
59.2 IPS |
|
|
Text Classification (SP)
|
71% |
439
634.6 IPS |
|
|
Text Classification (HP)
|
71% |
620
897.6 IPS |
|
|
Text Classification (Q)
|
92% |
470
632.1 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (HP)
|
97% |
761
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
762
13.2 IPS |
