Motorola Moto G54
Geekbench AI Score
472
Single Precision Score
470
Half Precision Score
923
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 05:56 AM |
| Views | 6 |
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% |
196
36.5 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
100% |
621
115.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
268
4.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1043
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1052
1.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
1594
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
608
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
694
8.24 IPS |
|
|
Face Detection (HP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (Q)
|
95% |
1501
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
815
6.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
831
6.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
1467
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1870
2.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1857
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3792
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
877
32.5 IPS |
|
|
Text Classification (SP)
|
100% |
235
314.1 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.9 IPS |
|
|
Text Classification (Q)
|
88% |
475
640.6 IPS |
|
|
Machine Translation (SP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
50% |
299
10.6 IPS |
