Motorola Moto G54
Geekbench AI Score
526
Single Precision Score
524
Half Precision Score
1005
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 08:30 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
671
124.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1110
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1134
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1678
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.6 IPS |
|
|
Object Detection (Q)
|
83% |
664
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.24 IPS |
|
|
Face Detection (Q)
|
95% |
1609
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1021
7.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1024
7.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1575
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1930
2.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1944
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
3995
5.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.0 IPS |
|
|
Text Classification (HP)
|
100% |
263
351.2 IPS |
|
|
Text Classification (Q)
|
88% |
547
738.2 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
50% |
357
12.7 IPS |
