motorola motorola edge 20 lite
Geekbench AI Score
480
Single Precision Score
478
Half Precision Score
864
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keliort |
| Upload Date | February 01 2025 11:46 AM |
| Views | 10 |
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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
100% |
578
107.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
647
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1034
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1029
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1493
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (Q)
|
83% |
585
47.2 IPS |
|
|
Face Detection (SP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (HP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (Q)
|
95% |
1345
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
885
6.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
877
6.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1366
12.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1735
2.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1741
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3435
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
830
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.8 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.4 IPS |
|
|
Text Classification (Q)
|
88% |
446
601.3 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.45 IPS |
|
|
Machine Translation (Q)
|
50% |
306
10.9 IPS |
