motorola moto g play - 2026
Geekbench AI Score
516
Single Precision Score
517
Half Precision Score
972
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 02:52 AM |
| Views | 14 |
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% |
230
42.8 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
100% |
677
125.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
746
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1093
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1092
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1701
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
653
52.7 IPS |
|
|
Face Detection (SP)
|
100% |
741
8.80 IPS |
|
|
Face Detection (HP)
|
100% |
742
8.81 IPS |
|
|
Face Detection (Q)
|
95% |
1530
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
947
7.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
947
7.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
1564
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1882
2.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1896
2.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3897
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
928
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.8 IPS |
|
|
Text Classification (HP)
|
100% |
281
374.4 IPS |
|
|
Text Classification (Q)
|
88% |
475
640.0 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (Q)
|
50% |
329
11.7 IPS |
