motorola moto g stylus 5G (2022)
Geekbench AI Score
545
Single Precision Score
543
Half Precision Score
1069
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KD8UXA |
| Upload Date | February 23 2025 07:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (Q)
|
100% |
723
134.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
827
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1167
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1747
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
83% |
714
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
753
8.95 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (Q)
|
95% |
1722
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1008
7.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
1003
7.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
1636
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2019
2.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2018
2.62 IPS |
|
|
Style Transfer (Q)
|
98% |
4157
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.2 IPS |
|
|
Text Classification (HP)
|
100% |
288
385.0 IPS |
|
|
Text Classification (Q)
|
88% |
584
787.8 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
50% |
381
13.5 IPS |
