motorola moto g stylus 5G (2022)
Geekbench AI Score
490
Single Precision Score
485
Half Precision Score
911
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | December 24 2025 12:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (Q)
|
100% |
677
125.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
779
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1117
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1434
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
588
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
685
8.14 IPS |
|
|
Face Detection (HP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (Q)
|
95% |
1429
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
906
6.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
910
7.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1352
12.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1716
2.23 IPS |
|
|
Style Transfer (HP)
|
89% |
1722
2.23 IPS |
|
|
Style Transfer (Q)
|
98% |
3433
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
475
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
828
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
244
325.0 IPS |
|
|
Text Classification (HP)
|
100% |
242
323.4 IPS |
|
|
Text Classification (Q)
|
88% |
483
651.7 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.33 IPS |
|
|
Machine Translation (Q)
|
50% |
337
12.0 IPS |
