motorola moto g play - 2024
Geekbench AI Score
345
Single Precision Score
344
Half Precision Score
382
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 02:41 AM |
| Views | 1 |
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% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
100% |
314
58.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
399
6.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
851
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
844
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
707
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
314
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
486
5.78 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (Q)
|
95% |
735
8.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
690
5.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
691
5.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
739
6.77 IPS |
|
|
Style Transfer (SP)
|
89% |
1422
1.85 IPS |
|
|
Style Transfer (HP)
|
89% |
1421
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1906
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
366
13.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
198
7.35 IPS |
|
|
Text Classification (SP)
|
100% |
126
168.6 IPS |
|
|
Text Classification (HP)
|
100% |
126
168.1 IPS |
|
|
Text Classification (Q)
|
88% |
133
179.4 IPS |
|
|
Machine Translation (SP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (HP)
|
100% |
197
3.40 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.17 IPS |
