motorola moto g stylus 5G (2022)
Geekbench AI Score
212
Single Precision Score
335
Half Precision Score
1021
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | December 24 2025 01:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
203
37.7 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.4 IPS |
|
|
Image Classification (Q)
|
97% |
715
133.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
790
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1202
1.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
4727
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
99% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
85% |
788
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
97% |
1981
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
338
2.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
216
1.66 IPS |
|
|
Depth Estimation (Q)
|
63% |
3232
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
904
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
375
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
2398
3.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
670
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2340
86.7 IPS |
|
|
Text Classification (SP)
|
100% |
3
3.79 IPS |
|
|
Text Classification (HP)
|
100% |
134
179.4 IPS |
|
|
Text Classification (Q)
|
93% |
105
141.4 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
54% |
156
4.40 IPS |
