motorola moto g52
Geekbench AI Score
351
Single Precision Score
355
Half Precision Score
440
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 03:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto g52 |
| Model ID | motorola moto g52 |
| Motherboard | rhode |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
175
32.6 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
311
57.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
396
6.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
848
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
698
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
83% |
276
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (Q)
|
95% |
674
8.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
640
4.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
642
4.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
675
6.18 IPS |
|
|
Style Transfer (SP)
|
89% |
1326
1.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1331
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1757
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
379
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
177
236.5 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.7 IPS |
|
|
Text Classification (Q)
|
88% |
252
339.6 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
50% |
151
5.36 IPS |
