motorola moto g stylus 5G - 2024
Geekbench AI Score
714
Single Precision Score
716
Half Precision Score
1360
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 06 2026 09:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g stylus 5G - 2024 |
| Model ID | motorola moto g stylus 5G - 2024 |
| Motherboard | boston |
| 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 @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.1 IPS |
|
|
Image Classification (Q)
|
100% |
1347
250.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1557
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1929
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3474
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
1282
103.6 IPS |
|
|
Face Detection (SP)
|
100% |
1062
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3175
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1450
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1518
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3166
29.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3462
4.49 IPS |
|
|
Style Transfer (HP)
|
89% |
3463
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
7998
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.6 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.9 IPS |
|
|
Text Classification (Q)
|
88% |
260
351.2 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.54 IPS |
|
|
Machine Translation (Q)
|
50% |
176
6.26 IPS |
