LENOVO 81WD
Geekbench AI Score
1105
Single Precision Score
1789
Half Precision Score
1799
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Laptop_Testers |
| Upload Date | September 14 2025 11:07 AM |
| Views | 3 |
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% |
747
138.9 IPS |
|
|
Image Classification (HP)
|
100% |
1236
229.8 IPS |
|
|
Image Classification (Q)
|
100% |
1139
211.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1427
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2354
2.75 IPS |
|
|
Pose Estimation (HP)
|
99% |
1720
2.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
3954
4.63 IPS |
|
|
Object Detection (SP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (HP)
|
99% |
1250
99.4 IPS |
|
|
Object Detection (Q)
|
88% |
1179
94.6 IPS |
|
|
Face Detection (SP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
2598
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2255
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4162
32.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
3780
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5823
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
9571
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8498
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1590
58.9 IPS |
|
|
Text Classification (SP)
|
71% |
419
606.3 IPS |
|
|
Text Classification (HP)
|
71% |
612
885.7 IPS |
|
|
Text Classification (Q)
|
92% |
466
626.5 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (HP)
|
97% |
756
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
758
13.1 IPS |
