motorola moto g54 5G
Geekbench AI Score
241
Single Precision Score
272
Half Precision Score
88
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 16 2024 03:03 AM |
| Views | 21 |
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% |
347
64.8 IPS |
|
|
Image Classification (Q)
|
97% |
25
4.62 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13
0.22 IPS |
|
|
Pose Estimation (SP)
|
99% |
1051
1.23 IPS |
|
|
Pose Estimation (HP)
|
98% |
2332
2.73 IPS |
|
|
Pose Estimation (Q)
|
70% |
987
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
80% |
18
1.47 IPS |
|
|
Face Detection (SP)
|
100% |
596
7.09 IPS |
|
|
Face Detection (HP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
22
0.26 IPS |
|
|
Depth Estimation (SP)
|
87% |
687
5.36 IPS |
|
|
Depth Estimation (HP)
|
86% |
1627
12.7 IPS |
|
|
Depth Estimation (Q)
|
70% |
97
0.82 IPS |
|
|
Style Transfer (SP)
|
100% |
830
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
323
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1411
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
98% |
453
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
97% |
347
12.8 IPS |
|
|
Text Classification (SP)
|
29% |
4
72.5 IPS |
|
|
Text Classification (HP)
|
100% |
110
147.1 IPS |
|
|
Text Classification (Q)
|
93% |
53
70.8 IPS |
|
|
Machine Translation (SP)
|
100% |
132
2.28 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (Q)
|
55% |
91
2.42 IPS |
