Motorola Moto G54
Geekbench AI Score
215
Single Precision Score
369
Half Precision Score
407
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 01 2026 07:58 PM |
| Views | 8 |
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% |
75
14.0 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
99% |
166
31.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
90
1.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
220
3.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
990
1.16 IPS |
|
|
Pose Estimation (HP)
|
92% |
2111
2.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
1576
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (HP)
|
97% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
85% |
247
19.9 IPS |
|
|
Face Detection (SP)
|
100% |
187
2.23 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
448
5.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.86 IPS |
|
|
Depth Estimation (HP)
|
98% |
516
3.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
539
4.98 IPS |
|
|
Style Transfer (SP)
|
89% |
865
1.12 IPS |
|
|
Style Transfer (HP)
|
88% |
1188
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1398
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.99 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
330
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
363
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.7 IPS |
|
|
Text Classification (HP)
|
100% |
252
335.8 IPS |
|
|
Text Classification (Q)
|
93% |
258
346.9 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (HP)
|
96% |
408
7.06 IPS |
|
|
Machine Translation (Q)
|
55% |
283
7.60 IPS |
