Motorola Moto G54
Geekbench AI Score
528
Single Precision Score
524
Half Precision Score
1013
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gamer_321 |
| Upload Date | February 10 2025 05:47 PM |
| Views | 14 |
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% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.8 IPS |
|
|
Image Classification (Q)
|
100% |
676
125.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
780
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1153
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1151
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1704
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (Q)
|
83% |
666
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
766
9.11 IPS |
|
|
Face Detection (HP)
|
100% |
767
9.12 IPS |
|
|
Face Detection (Q)
|
95% |
1624
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1029
7.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
1024
7.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1577
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1948
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1949
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
4017
5.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
949
35.2 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.2 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.7 IPS |
|
|
Text Classification (Q)
|
88% |
555
748.2 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
50% |
352
12.5 IPS |
