motorola moto g stylus 5G (2022)
Geekbench AI Score
543
Single Precision Score
539
Half Precision Score
1027
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 08:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto g stylus 5G (2022) |
| Model ID | motorola moto g stylus 5G (2022) |
| Motherboard | milanf |
| 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 | 3.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.7 IPS |
|
|
Image Classification (Q)
|
100% |
727
135.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
833
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1189
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
1746
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
714
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
778
9.24 IPS |
|
|
Face Detection (HP)
|
100% |
777
9.24 IPS |
|
|
Face Detection (Q)
|
95% |
1723
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1027
7.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
993
7.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
1521
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1926
2.50 IPS |
|
|
Style Transfer (HP)
|
89% |
1929
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3797
4.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
941
34.9 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.7 IPS |
|
|
Text Classification (HP)
|
100% |
273
363.8 IPS |
|
|
Text Classification (Q)
|
88% |
517
697.7 IPS |
|
|
Machine Translation (SP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
