Motorola Moto G54
Geekbench AI Score
461
Single Precision Score
466
Half Precision Score
925
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | isakii_Testes |
| Upload Date | June 11 2025 12:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 7020 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
100% |
664
123.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
264
4.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1025
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1567
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (Q)
|
83% |
581
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (HP)
|
100% |
671
7.97 IPS |
|
|
Face Detection (Q)
|
95% |
1509
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
913
7.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
844
6.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
1444
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1812
2.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1805
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3690
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.3 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.1 IPS |
|
|
Text Classification (Q)
|
88% |
475
640.2 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
