LENOVO 81WD
Geekbench AI Score
1000
Single Precision Score
557
Half Precision Score
2291
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | varaganti_rahul |
| Upload Date | November 11 2025 04:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1005G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81WD |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
666
123.8 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (Q)
|
99% |
1679
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1762
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1269
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
4620
5.42 IPS |
|
|
Object Detection (SP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
86% |
1755
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
97% |
3040
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1731
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
790
6.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
3954
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3264
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2386
3.07 IPS |
|
|
Style Transfer (Q)
|
98% |
6386
8.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1987
73.6 IPS |
|
|
Text Classification (SP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.7 IPS |
|
|
Text Classification (Q)
|
97% |
871
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (Q)
|
65% |
1252
25.2 IPS |
