motorola moto g stylus 5G
Geekbench AI Score
354
Single Precision Score
333
Half Precision Score
650
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | AaronMTechVlogs |
| Upload Date | February 22 2025 09:23 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola moto g stylus 5G |
| Model ID | motorola moto g stylus 5G |
| Motherboard | denver |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 8 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.04 GHz |
| Memory Information | |
|---|---|
| Size | 3.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (Q)
|
100% |
428
79.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
554
9.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1024
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1483
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
83% |
485
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (Q)
|
95% |
842
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
687
5.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
677
5.21 IPS |
|
|
Depth Estimation (Q)
|
64% |
1349
12.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1720
2.23 IPS |
|
|
Style Transfer (HP)
|
89% |
1641
2.13 IPS |
|
|
Style Transfer (Q)
|
98% |
3637
4.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
611
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.4 IPS |
|
|
Text Classification (HP)
|
100% |
145
193.7 IPS |
|
|
Text Classification (Q)
|
88% |
221
297.8 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (Q)
|
50% |
142
5.06 IPS |
