motorola moto g play - 2024
Geekbench AI Score
211
Single Precision Score
221
Half Precision Score
227
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | miningaway222 |
| Upload Date | February 28 2026 06:58 PM |
| Views | 2 |
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% |
101
18.7 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.1 IPS |
|
|
Image Classification (Q)
|
99% |
129
24.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
202
3.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
335
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
115
9.09 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.82 IPS |
|
|
Object Detection (Q)
|
85% |
155
12.5 IPS |
|
|
Face Detection (SP)
|
100% |
274
3.26 IPS |
|
|
Face Detection (HP)
|
100% |
285
3.39 IPS |
|
|
Face Detection (Q)
|
97% |
342
4.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
399
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
382
2.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
342
3.16 IPS |
|
|
Style Transfer (SP)
|
89% |
854
1.11 IPS |
|
|
Style Transfer (HP)
|
89% |
881
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
788
1.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
200
7.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.15 IPS |
|
|
Text Classification (SP)
|
100% |
59
79.2 IPS |
|
|
Text Classification (HP)
|
100% |
106
141.4 IPS |
|
|
Text Classification (Q)
|
93% |
126
169.6 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.22 IPS |
|
|
Machine Translation (HP)
|
100% |
155
2.68 IPS |
|
|
Machine Translation (Q)
|
55% |
120
3.21 IPS |
