motorola moto g power - 2025
Geekbench AI Score
517
Single Precision Score
518
Half Precision Score
976
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 02:20 AM |
| Views | 1 |
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% |
223
41.5 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
100% |
679
126.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
740
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1100
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1098
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1689
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
83% |
655
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (HP)
|
100% |
724
8.60 IPS |
|
|
Face Detection (Q)
|
95% |
1541
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
937
7.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
945
7.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
1549
14.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1871
2.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1870
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3866
4.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
924
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.9 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.3 IPS |
|
|
Text Classification (Q)
|
88% |
496
668.8 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
50% |
337
12.0 IPS |
