motorola moto g stylus 5G (2022)
Geekbench AI Score
169
Single Precision Score
166
Half Precision Score
708
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | December 24 2025 02:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
110
20.5 IPS |
|
|
Image Classification (HP)
|
100% |
106
19.7 IPS |
|
|
Image Classification (Q)
|
96% |
680
127.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
805
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
171
0.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
5099
5.97 IPS |
|
|
Object Detection (SP)
|
100% |
94
7.44 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.47 IPS |
|
|
Object Detection (Q)
|
84% |
715
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.98 IPS |
|
|
Face Detection (Q)
|
97% |
1347
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
215
1.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
215
1.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
2905
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
374
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
375
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
8151
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
106
3.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
106
3.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2267
84.0 IPS |
|
|
Text Classification (SP)
|
100% |
135
179.8 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.2 IPS |
|
|
Text Classification (Q)
|
93% |
222
297.9 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.38 IPS |
