motorola motorola edge 20 lite
Geekbench AI Score
156
Single Precision Score
212
Half Precision Score
207
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keliort |
| Upload Date | February 01 2025 11:11 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
100
18.6 IPS |
|
|
Image Classification (HP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (Q)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
246
4.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
105
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
122
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
122
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.09 IPS |
|
|
Object Detection (HP)
|
100% |
122
9.70 IPS |
|
|
Object Detection (Q)
|
83% |
116
9.40 IPS |
|
|
Face Detection (SP)
|
100% |
311
3.70 IPS |
|
|
Face Detection (HP)
|
100% |
439
5.22 IPS |
|
|
Face Detection (Q)
|
97% |
463
5.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
192
1.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.93 IPS |
|
|
Depth Estimation (Q)
|
62% |
203
1.92 IPS |
|
|
Style Transfer (SP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
534
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
533
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
138
5.11 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.3 IPS |
|
|
Text Classification (HP)
|
100% |
141
187.6 IPS |
|
|
Text Classification (Q)
|
91% |
230
308.9 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
57% |
168
4.12 IPS |
