motorola moto g stylus 5G (2022)
Geekbench AI Score
220
Single Precision Score
360
Half Precision Score
1040
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | February 23 2025 09:06 AM |
| Views | 15 |
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% |
205
38.2 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (Q)
|
97% |
675
126.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
802
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
526
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1220
1.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
4727
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
99% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
85% |
759
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
502
5.97 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
97% |
2007
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
246
1.90 IPS |
|
|
Depth Estimation (Q)
|
63% |
3221
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
972
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
420
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
2730
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
673
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2289
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
3
4.43 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.1 IPS |
|
|
Text Classification (Q)
|
93% |
110
147.2 IPS |
|
|
Machine Translation (SP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
54% |
172
4.85 IPS |
