Motorola Moto G54
Geekbench AI Score
524
Single Precision Score
524
Half Precision Score
1002
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gamer_321 |
| Upload Date | May 17 2025 03:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
220
40.9 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
100% |
673
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1156
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1678
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
662
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
767
9.12 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (Q)
|
95% |
1610
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1011
7.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1012
7.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1563
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1932
2.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1926
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3982
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
939
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.0 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.9 IPS |
|
|
Text Classification (Q)
|
88% |
547
737.6 IPS |
|
|
Machine Translation (SP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
50% |
351
12.5 IPS |
