motorola moto g55 5G
Geekbench AI Score
578
Single Precision Score
563
Half Precision Score
1134
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 10:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g55 5G |
| Model ID | motorola moto g55 5G |
| Motherboard | taipei |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
244
45.3 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.2 IPS |
|
|
Image Classification (Q)
|
100% |
755
140.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
876
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
1930
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (Q)
|
83% |
745
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
828
9.83 IPS |
|
|
Face Detection (HP)
|
100% |
823
9.78 IPS |
|
|
Face Detection (Q)
|
95% |
1824
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1062
8.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
1032
7.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
1779
16.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2182
2.83 IPS |
|
|
Style Transfer (HP)
|
89% |
2171
2.82 IPS |
|
|
Style Transfer (Q)
|
98% |
4523
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
589
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1072
39.7 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.5 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.6 IPS |
|
|
Text Classification (Q)
|
88% |
622
838.3 IPS |
|
|
Machine Translation (SP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
