[2021] Laptop: Lenovo IdeaPad 1 (14IGL05) [81VU0002UK] LENOVO 81VU
Geekbench AI Score
128
Single Precision Score
84
Half Precision Score
226
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | January 11 2025 11:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N4020 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 81VU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Celeron N4020 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
100
18.6 IPS |
|
|
Image Classification (HP)
|
100% |
52
9.64 IPS |
|
|
Image Classification (Q)
|
96% |
216
40.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
91
1.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
71
1.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
171
2.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
165
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
122
0.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
341
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
83
6.58 IPS |
|
|
Object Detection (HP)
|
100% |
47
3.69 IPS |
|
|
Object Detection (Q)
|
58% |
130
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
244
2.90 IPS |
|
|
Face Detection (HP)
|
100% |
123
1.46 IPS |
|
|
Face Detection (Q)
|
96% |
388
4.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
200
1.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
119
0.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
351
2.79 IPS |
|
|
Style Transfer (SP)
|
100% |
348
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
285
0.37 IPS |
|
|
Style Transfer (Q)
|
87% |
584
0.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73
2.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56
2.06 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
154
5.70 IPS |
|
|
Text Classification (SP)
|
100% |
64
85.3 IPS |
|
|
Text Classification (HP)
|
100% |
56
75.1 IPS |
|
|
Text Classification (Q)
|
97% |
88
117.8 IPS |
|
|
Machine Translation (SP)
|
100% |
126
2.17 IPS |
|
|
Machine Translation (HP)
|
100% |
66
1.14 IPS |
|
|
Machine Translation (Q)
|
68% |
200
3.87 IPS |
