motorola moto g stylus 5G - 2024
Geekbench AI Score
379
Single Precision Score
675
Half Precision Score
624
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Zack26 |
| Upload Date | August 02 2025 03:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
281
52.3 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
466
86.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
699
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1475
1.72 IPS |
|
|
Pose Estimation (HP)
|
99% |
2845
3.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
2806
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
99% |
434
34.5 IPS |
|
|
Object Detection (Q)
|
85% |
414
33.3 IPS |
|
|
Face Detection (SP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (HP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
1310
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.56 IPS |
|
|
Depth Estimation (HP)
|
98% |
1728
13.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1420
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1660
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
3838
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
3764
4.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
716
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
709
26.3 IPS |
|
|
Text Classification (SP)
|
35% |
15
146.4 IPS |
|
|
Text Classification (HP)
|
35% |
24
222.7 IPS |
|
|
Text Classification (Q)
|
35% |
26
232.3 IPS |
|
|
Machine Translation (SP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (HP)
|
97% |
246
4.25 IPS |
|
|
Machine Translation (Q)
|
64% |
185
3.81 IPS |
