motorola moto g52j 5G
Geekbench AI Score
419
Single Precision Score
418
Half Precision Score
770
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 16 2024 06:55 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g52j 5G |
| Model ID | motorola moto g52j 5G |
| Motherboard | cypfr |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (Q)
|
100% |
506
94.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
578
9.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
894
1.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
896
1.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
1193
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
87% |
507
40.7 IPS |
|
|
Face Detection (SP)
|
100% |
613
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
615
7.31 IPS |
|
|
Face Detection (Q)
|
95% |
1192
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
808
6.23 IPS |
|
|
Depth Estimation (HP)
|
100% |
811
6.25 IPS |
|
|
Depth Estimation (Q)
|
75% |
1270
10.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1495
1.94 IPS |
|
|
Style Transfer (HP)
|
89% |
1492
1.94 IPS |
|
|
Style Transfer (Q)
|
98% |
2815
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
752
27.9 IPS |
|
|
Text Classification (SP)
|
100% |
219
292.1 IPS |
|
|
Text Classification (HP)
|
100% |
218
290.8 IPS |
|
|
Text Classification (Q)
|
88% |
432
583.0 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
50% |
303
10.8 IPS |
