LENOVO 81W8
Geekbench AI Score
782
Single Precision Score
468
Half Precision Score
1573
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Shadan123 |
| Upload Date | October 10 2025 02:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1005G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81W8 |
| 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 | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.8 IPS |
|
|
Image Classification (Q)
|
99% |
1398
260.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
865
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
898
1.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
3915
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (Q)
|
86% |
1248
100.3 IPS |
|
|
Face Detection (SP)
|
100% |
1009
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (Q)
|
97% |
2463
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1419
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
698
5.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
3378
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2739
3.52 IPS |
|
|
Style Transfer (HP)
|
100% |
2077
2.67 IPS |
|
|
Style Transfer (Q)
|
98% |
4649
6.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1709
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
551
735.4 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.9 IPS |
|
|
Text Classification (Q)
|
97% |
270
361.2 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
65% |
884
17.8 IPS |
