motorola moto g play - 2024
Geekbench AI Score
237
Single Precision Score
238
Half Precision Score
239
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | December 10 2025 04:17 PM |
| Views | 9 |
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% |
106
19.7 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.7 IPS |
|
|
Image Classification (Q)
|
100% |
168
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
189
3.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
509
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
352
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.7 IPS |
|
|
Object Detection (Q)
|
83% |
172
13.9 IPS |
|
|
Face Detection (SP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (Q)
|
95% |
369
4.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
405
3.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
370
2.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
367
3.36 IPS |
|
|
Style Transfer (SP)
|
89% |
851
1.10 IPS |
|
|
Style Transfer (HP)
|
89% |
842
1.09 IPS |
|
|
Style Transfer (Q)
|
98% |
989
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
199
7.37 IPS |
|
|
Text Classification (SP)
|
100% |
127
169.4 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.6 IPS |
|
|
Text Classification (Q)
|
88% |
132
178.5 IPS |
|
|
Machine Translation (SP)
|
100% |
203
3.49 IPS |
|
|
Machine Translation (HP)
|
100% |
200
3.44 IPS |
|
|
Machine Translation (Q)
|
50% |
90
3.19 IPS |
