motorola moto g stylus - 2025
Geekbench AI Score
630
Single Precision Score
607
Half Precision Score
1606
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 09:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g stylus - 2025 |
| Model ID | motorola moto g stylus - 2025 |
| Motherboard | mona |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.6 IPS |
|
|
Image Classification (Q)
|
100% |
1048
195.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
952
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1580
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2009
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
3764
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
83% |
1334
107.8 IPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
3293
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
807
6.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
812
6.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
3370
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3717
4.83 IPS |
|
|
Style Transfer (HP)
|
89% |
3720
4.83 IPS |
|
|
Style Transfer (Q)
|
98% |
8589
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1972
73.1 IPS |
|
|
Text Classification (SP)
|
100% |
497
662.9 IPS |
|
|
Text Classification (HP)
|
100% |
490
654.5 IPS |
|
|
Text Classification (Q)
|
88% |
792
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.19 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.48 IPS |
