motorola moto g 5G (2022)
Geekbench AI Score
515
Single Precision Score
509
Half Precision Score
947
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 08:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833V/NZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto g 5G (2022) |
| Model ID | motorola moto g 5G (2022) |
| Motherboard | austin |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/NZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (Q)
|
100% |
634
118.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1103
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1642
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
648
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.68 IPS |
|
|
Face Detection (HP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (Q)
|
95% |
1471
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
952
7.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
937
7.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
1504
13.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1862
2.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1859
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
3768
4.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
911
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.8 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.9 IPS |
|
|
Text Classification (Q)
|
88% |
489
659.8 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
