motorola motorola edge 20 lite
Geekbench AI Score
473
Single Precision Score
818
Half Precision Score
894
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Kike |
| Upload Date | February 13 2026 07:50 AM |
| Views | 5 |
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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
99% |
525
97.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
468
7.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
638
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1038
1.21 IPS |
|
|
Pose Estimation (HP)
|
92% |
1993
2.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1509
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
97% |
409
32.6 IPS |
|
|
Object Detection (Q)
|
85% |
599
48.2 IPS |
|
|
Face Detection (SP)
|
100% |
685
8.14 IPS |
|
|
Face Detection (HP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
1369
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
900
6.93 IPS |
|
|
Depth Estimation (HP)
|
98% |
1623
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
1372
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1729
2.24 IPS |
|
|
Style Transfer (HP)
|
88% |
2180
2.83 IPS |
|
|
Style Transfer (Q)
|
98% |
3425
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
862
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
849
31.5 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.1 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.5 IPS |
|
|
Text Classification (Q)
|
93% |
439
589.9 IPS |
|
|
Machine Translation (SP)
|
100% |
439
7.57 IPS |
|
|
Machine Translation (HP)
|
96% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
55% |
452
12.1 IPS |
