[2021] Laptop: Lenovo IdeaPad 1 (14IGL05) [81VU0002UK] LENOVO 81VU
Geekbench AI Score
127
Single Precision Score
127
Half Precision Score
250
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | January 11 2025 12:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Celeron(R) N4020 CPU @ 1.10GHz |
| 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% |
107
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
100% |
222
41.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
256
4.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
165
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
155
0.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
205
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.56 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.41 IPS |
|
|
Object Detection (Q)
|
87% |
155
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
221
2.62 IPS |
|
|
Face Detection (HP)
|
100% |
222
2.64 IPS |
|
|
Face Detection (Q)
|
97% |
418
4.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
170
1.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
166
1.28 IPS |
|
|
Depth Estimation (Q)
|
81% |
350
2.76 IPS |
|
|
Style Transfer (SP)
|
100% |
282
0.36 IPS |
|
|
Style Transfer (HP)
|
100% |
290
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
996
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
83
3.08 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
198
7.32 IPS |
|
|
Text Classification (SP)
|
100% |
93
123.9 IPS |
|
|
Text Classification (HP)
|
100% |
86
114.1 IPS |
|
|
Text Classification (Q)
|
91% |
156
210.1 IPS |
|
|
Machine Translation (SP)
|
100% |
112
1.93 IPS |
|
|
Machine Translation (HP)
|
100% |
120
2.06 IPS |
|
|
Machine Translation (Q)
|
100% |
120
2.07 IPS |
