Motorola Moto G54
Geekbench AI Score
241
Single Precision Score
298
Half Precision Score
129
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 10:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
97% |
341
63.7 IPS |
|
|
Image Classification (Q)
|
97% |
24
4.55 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
28
0.45 IPS |
|
|
Pose Estimation (SP)
|
99% |
1053
1.23 IPS |
|
|
Pose Estimation (HP)
|
98% |
2342
2.74 IPS |
|
|
Pose Estimation (Q)
|
70% |
1148
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (Q)
|
80% |
33
2.72 IPS |
|
|
Face Detection (SP)
|
100% |
602
7.16 IPS |
|
|
Face Detection (HP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
42
0.50 IPS |
|
|
Depth Estimation (SP)
|
84% |
688
5.39 IPS |
|
|
Depth Estimation (HP)
|
84% |
1650
12.9 IPS |
|
|
Depth Estimation (Q)
|
57% |
134
1.46 IPS |
|
|
Style Transfer (SP)
|
100% |
919
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
407
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1848
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
98% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
97% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
29% |
3
57.4 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.1 IPS |
|
|
Text Classification (Q)
|
93% |
76
101.9 IPS |
|
|
Machine Translation (SP)
|
100% |
154
2.65 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (Q)
|
55% |
137
3.64 IPS |
