Motorola Moto G54
Geekbench AI Score
255
Single Precision Score
308
Half Precision Score
131
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 08:59 PM |
| Views | 6 |
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% |
191
35.5 IPS |
|
|
Image Classification (HP)
|
97% |
375
70.0 IPS |
|
|
Image Classification (Q)
|
97% |
25
4.66 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29
0.47 IPS |
|
|
Pose Estimation (SP)
|
99% |
1057
1.24 IPS |
|
|
Pose Estimation (HP)
|
98% |
2355
2.76 IPS |
|
|
Pose Estimation (Q)
|
70% |
1161
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (Q)
|
80% |
32
2.60 IPS |
|
|
Face Detection (SP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
43
0.51 IPS |
|
|
Depth Estimation (SP)
|
84% |
694
5.43 IPS |
|
|
Depth Estimation (HP)
|
84% |
1675
13.1 IPS |
|
|
Depth Estimation (Q)
|
57% |
137
1.50 IPS |
|
|
Style Transfer (SP)
|
100% |
928
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
410
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1864
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
98% |
471
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
97% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
29% |
4
70.5 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.6 IPS |
|
|
Text Classification (Q)
|
93% |
76
101.6 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
55% |
138
3.66 IPS |
