motorola motorola edge 20 lite
Geekbench AI Score
483
Single Precision Score
479
Half Precision Score
868
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6853V/NZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola motorola edge 20 lite |
| Model ID | motorola motorola edge 20 lite |
| Motherboard | kyoto |
| CPU Information | |
|---|---|
| Name | ARM MT6853V/NZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (HP)
|
100% |
211
39.2 IPS |
|
|
Image Classification (Q)
|
100% |
600
111.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
648
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1048
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1043
1.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
1494
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (Q)
|
83% |
600
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
689
8.18 IPS |
|
|
Face Detection (HP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (Q)
|
95% |
1360
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
903
6.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
868
6.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
1381
12.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1722
2.24 IPS |
|
|
Style Transfer (HP)
|
89% |
1720
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
3430
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
830
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.0 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.8 IPS |
|
|
Text Classification (Q)
|
88% |
420
566.4 IPS |
|
|
Machine Translation (SP)
|
100% |
443
7.62 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (Q)
|
50% |
313
11.1 IPS |
