Motorola Moto G54
Geekbench AI Score
104
Single Precision Score
192
Half Precision Score
130
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gamer_321 |
| Upload Date | May 17 2025 04:17 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | MediaTek Dimensity 7020 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Motorola Moto G54 |
| Model ID | motorola moto g54 5G |
| Motherboard | cancunf |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 11.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
59
11.0 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (Q)
|
0% |
0
20.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
77
1.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
193
3.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
216
3.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
72
0.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
150
0.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
147
0.17 IPS |
|
|
Object Detection (SP)
|
100% |
39
3.12 IPS |
|
|
Object Detection (HP)
|
100% |
85
6.70 IPS |
|
|
Object Detection (Q)
|
84% |
94
7.58 IPS |
|
|
Face Detection (SP)
|
100% |
158
1.88 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
97% |
401
4.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
118
0.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
247
1.91 IPS |
|
|
Depth Estimation (Q)
|
63% |
211
1.98 IPS |
|
|
Style Transfer (SP)
|
100% |
279
0.36 IPS |
|
|
Style Transfer (HP)
|
100% |
620
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
616
0.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63
2.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
131
4.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
129
4.80 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.5 IPS |
|
|
Text Classification (HP)
|
100% |
148
197.4 IPS |
|
|
Text Classification (Q)
|
91% |
303
407.6 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
57% |
227
5.54 IPS |
