motorola moto g play - 2024
Geekbench AI Score
330
Single Precision Score
331
Half Precision Score
364
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | November 06 2025 10:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g play - 2024 |
| Model ID | motorola moto g play - 2024 |
| Motherboard | fogona |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
100% |
247
45.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
401
6.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
850
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
858
1.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
677
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (Q)
|
83% |
238
19.2 IPS |
|
|
Face Detection (SP)
|
100% |
444
5.27 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.97 IPS |
|
|
Face Detection (Q)
|
95% |
751
8.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
718
5.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
705
5.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
738
6.76 IPS |
|
|
Style Transfer (SP)
|
89% |
1227
1.59 IPS |
|
|
Style Transfer (HP)
|
89% |
1227
1.59 IPS |
|
|
Style Transfer (Q)
|
98% |
1199
1.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
345
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
380
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
119
158.6 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.8 IPS |
|
|
Text Classification (Q)
|
88% |
125
168.2 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.18 IPS |
|
|
Machine Translation (Q)
|
50% |
83
2.96 IPS |
