motorola moto g stylus 5G (2022)
Geekbench AI Score
185
Single Precision Score
285
Half Precision Score
297
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | February 23 2025 08:18 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
108
20.2 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (Q)
|
97% |
189
35.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
274
4.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (Q)
|
95% |
284
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.52 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
89% |
153
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (HP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (Q)
|
97% |
469
5.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
430
3.32 IPS |
|
|
Depth Estimation (Q)
|
62% |
353
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1049
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
1048
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
212
7.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
208
7.71 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.2 IPS |
|
|
Text Classification (HP)
|
100% |
151
201.3 IPS |
|
|
Text Classification (Q)
|
91% |
286
384.8 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.70 IPS |
