motorola moto g play - 2026
Geekbench AI Score
484
Single Precision Score
482
Half Precision Score
980
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 18 2025 04:47 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% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.6 IPS |
|
|
Image Classification (Q)
|
100% |
682
126.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
746
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1711
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
657
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
95% |
1545
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
465
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
461
3.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1569
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1886
2.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1890
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3899
5.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.6 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.0 IPS |
|
|
Text Classification (Q)
|
88% |
488
657.9 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (Q)
|
50% |
331
11.7 IPS |
