[2021] Laptop: Lenovo IdeaPad 1 (14IGL05) [81VU0002UK] LENOVO 81VU
Geekbench AI Score
146
Single Precision Score
181
Half Precision Score
123
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | January 11 2025 12:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 600 |
| 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% |
40
7.42 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.3 IPS |
|
|
Image Classification (Q)
|
100% |
43
7.93 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
115
1.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
89
1.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
707
0.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
417
0.49 IPS |
|
|
Object Detection (SP)
|
100% |
42
3.32 IPS |
|
|
Object Detection (HP)
|
98% |
60
4.79 IPS |
|
|
Object Detection (Q)
|
86% |
42
3.37 IPS |
|
|
Face Detection (SP)
|
100% |
180
2.13 IPS |
|
|
Face Detection (HP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (Q)
|
97% |
153
1.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
231
1.78 IPS |
|
|
Depth Estimation (HP)
|
98% |
322
2.49 IPS |
|
|
Depth Estimation (Q)
|
77% |
214
1.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1180
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1683
2.16 IPS |
|
|
Style Transfer (Q)
|
98% |
968
1.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
156
5.76 IPS |
|
|
Text Classification (SP)
|
100% |
70
93.5 IPS |
|
|
Text Classification (HP)
|
100% |
49
65.7 IPS |
|
|
Text Classification (Q)
|
97% |
41
54.8 IPS |
|
|
Machine Translation (SP)
|
100% |
78
1.34 IPS |
|
|
Machine Translation (HP)
|
100% |
94
1.62 IPS |
|
|
Machine Translation (Q)
|
70% |
59
1.11 IPS |
