motorola moto g52j 5G AI motorola moto g52j 5G
Geekbench AI Score
540
Single Precision Score
537
Half Precision Score
1053
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | yuichan |
| Upload Date | August 27 2024 11:17 AM |
| Views | 7 |
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 | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
734
136.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
834
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1187
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1743
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
87% |
729
58.5 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (Q)
|
95% |
1736
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1012
7.80 IPS |
|
|
Depth Estimation (HP)
|
100% |
1013
7.81 IPS |
|
|
Depth Estimation (Q)
|
75% |
1835
14.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2032
2.64 IPS |
|
|
Style Transfer (HP)
|
89% |
1910
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3754
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
937
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.2 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.0 IPS |
|
|
Text Classification (Q)
|
88% |
539
727.0 IPS |
|
|
Machine Translation (SP)
|
100% |
458
7.88 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
50% |
357
12.7 IPS |
