Motorola Moto G54
Geekbench AI Score
255
Single Precision Score
307
Half Precision Score
128
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gamer_321 |
| Upload Date | February 10 2025 06:16 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
191
35.5 IPS |
|
|
Image Classification (HP)
|
97% |
375
69.9 IPS |
|
|
Image Classification (Q)
|
97% |
25
4.61 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
27
0.44 IPS |
|
|
Pose Estimation (SP)
|
99% |
1054
1.23 IPS |
|
|
Pose Estimation (HP)
|
98% |
2356
2.76 IPS |
|
|
Pose Estimation (Q)
|
70% |
1163
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
99% |
370
29.3 IPS |
|
|
Object Detection (Q)
|
80% |
30
2.47 IPS |
|
|
Face Detection (SP)
|
100% |
625
7.43 IPS |
|
|
Face Detection (HP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
40
0.48 IPS |
|
|
Depth Estimation (SP)
|
84% |
692
5.42 IPS |
|
|
Depth Estimation (HP)
|
84% |
1670
13.1 IPS |
|
|
Depth Estimation (Q)
|
57% |
135
1.47 IPS |
|
|
Style Transfer (SP)
|
100% |
927
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
408
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1847
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
98% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
97% |
488
18.1 IPS |
|
|
Text Classification (SP)
|
29% |
4
71.6 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.5 IPS |
|
|
Text Classification (Q)
|
93% |
76
101.4 IPS |
|
|
Machine Translation (SP)
|
100% |
172
2.97 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
55% |
138
3.66 IPS |
