motorola moto g54 5G
Geekbench AI Score
530
Single Precision Score
531
Half Precision Score
1004
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 10:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
222
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (Q)
|
100% |
677
126.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
769
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1138
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1157
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1684
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (Q)
|
83% |
663
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.26 IPS |
|
|
Face Detection (Q)
|
95% |
1615
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1029
7.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
978
7.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
1562
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1941
2.52 IPS |
|
|
Style Transfer (HP)
|
89% |
1939
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
3977
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
941
34.9 IPS |
|
|
Text Classification (SP)
|
100% |
272
362.8 IPS |
|
|
Text Classification (HP)
|
100% |
268
358.3 IPS |
|
|
Text Classification (Q)
|
88% |
547
737.5 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (Q)
|
50% |
348
12.4 IPS |
