motorola moto g stylus 5G - 2024
Geekbench AI Score
636
Single Precision Score
637
Half Precision Score
1316
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 06:59 AM |
| Views | 3 |
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% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
100% |
1337
248.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
509
8.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1548
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1951
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1957
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
3483
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
83% |
1284
103.8 IPS |
|
|
Face Detection (SP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3189
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1547
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1532
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3162
29.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3364
4.37 IPS |
|
|
Style Transfer (HP)
|
89% |
3367
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
5934
7.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.7 IPS |
|
|
Text Classification (HP)
|
100% |
157
209.9 IPS |
|
|
Text Classification (Q)
|
88% |
259
349.8 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
50% |
173
6.14 IPS |
