motorola moto g play - 2026
Geekbench AI Score
486
Single Precision Score
485
Half Precision Score
983
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 04:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | motorola moto g play - 2026 |
| Model ID | motorola moto g play - 2026 |
| Motherboard | nevada |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
100% |
679
126.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
753
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1715
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
656
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
743
8.83 IPS |
|
|
Face Detection (HP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (Q)
|
95% |
1548
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
470
3.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
476
3.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
1569
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1903
2.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1897
2.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3919
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
478
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
938
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.7 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.3 IPS |
|
|
Text Classification (Q)
|
88% |
497
670.1 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.17 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
