motorola moto g55 5G
Geekbench AI Score
132
Single Precision Score
236
Half Precision Score
147
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 01:40 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 3.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
73
13.6 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
0% |
0
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
106
1.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
240
3.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
99
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
192
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.49 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.18 IPS |
|
|
Object Detection (Q)
|
84% |
114
9.17 IPS |
|
|
Face Detection (SP)
|
100% |
195
2.31 IPS |
|
|
Face Detection (HP)
|
100% |
422
5.01 IPS |
|
|
Face Detection (Q)
|
97% |
413
4.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
152
1.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
304
2.35 IPS |
|
|
Depth Estimation (Q)
|
63% |
250
2.34 IPS |
|
|
Style Transfer (SP)
|
100% |
335
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
677
0.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76
2.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
146
5.42 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (HP)
|
100% |
171
227.6 IPS |
|
|
Text Classification (Q)
|
91% |
341
458.4 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.52 IPS |
