motorola moto g54 5G
Geekbench AI Score
245
Single Precision Score
287
Half Precision Score
112
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 03:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g54 5G |
| 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% |
183
34.0 IPS |
|
|
Image Classification (HP)
|
97% |
345
64.5 IPS |
|
|
Image Classification (Q)
|
97% |
23
4.36 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
29
0.47 IPS |
|
|
Pose Estimation (SP)
|
99% |
1054
1.23 IPS |
|
|
Pose Estimation (HP)
|
98% |
2346
2.75 IPS |
|
|
Pose Estimation (Q)
|
70% |
1153
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
99% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
80% |
31
2.54 IPS |
|
|
Face Detection (SP)
|
100% |
604
7.18 IPS |
|
|
Face Detection (HP)
|
100% |
1155
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
40
0.47 IPS |
|
|
Depth Estimation (SP)
|
84% |
690
5.40 IPS |
|
|
Depth Estimation (HP)
|
84% |
1651
12.9 IPS |
|
|
Depth Estimation (Q)
|
57% |
73
0.80 IPS |
|
|
Style Transfer (SP)
|
100% |
882
1.13 IPS |
|
|
Style Transfer (HP)
|
100% |
369
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
1649
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
98% |
453
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
97% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
29% |
4
76.8 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.6 IPS |
|
|
Text Classification (Q)
|
93% |
62
83.6 IPS |
|
|
Machine Translation (SP)
|
100% |
144
2.49 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
55% |
108
2.87 IPS |
