motorola moto g power - 2025
Geekbench AI Score
508
Single Precision Score
505
Half Precision Score
986
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 01:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g power - 2025 |
| Model ID | motorola moto g power - 2025 |
| Motherboard | vegas |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
100% |
686
127.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
745
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1107
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1107
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1738
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
655
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
95% |
1554
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
948
7.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
924
7.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1566
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1808
2.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1797
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3910
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
931
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.5 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.0 IPS |
|
|
Text Classification (Q)
|
88% |
489
659.5 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.2 IPS |
