motorola moto g stylus 5G - 2024
Geekbench AI Score
632
Single Precision Score
635
Half Precision Score
1303
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Zack26 |
| Upload Date | August 02 2025 03:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
100% |
1334
248.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1550
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1946
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
3477
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
394
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
83% |
1275
103.0 IPS |
|
|
Face Detection (SP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3164
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1538
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1500
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3159
28.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3318
4.31 IPS |
|
|
Style Transfer (HP)
|
89% |
3349
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
5836
7.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
275
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
155
206.4 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.5 IPS |
|
|
Text Classification (Q)
|
88% |
252
340.4 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
50% |
169
6.01 IPS |
