motorola moto g stylus - 2025
Geekbench AI Score
795
Single Precision Score
839
Half Precision Score
1739
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 05:37 PM |
| Views | 1 |
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% |
254
47.3 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.9 IPS |
|
|
Image Classification (Q)
|
100% |
1159
215.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
1631
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2027
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1936
2.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
3748
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
83% |
1320
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (Q)
|
95% |
3247
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1052
8.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
950
7.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
3351
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3602
4.68 IPS |
|
|
Style Transfer (HP)
|
89% |
3598
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
8438
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
872
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1953
72.4 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.4 IPS |
|
|
Text Classification (HP)
|
100% |
486
648.2 IPS |
|
|
Text Classification (Q)
|
88% |
780
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
194
6.89 IPS |
