motorola moto g stylus 5G - 2024
Geekbench AI Score
881
Single Precision Score
874
Half Precision Score
1882
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 19 2025 07:34 PM |
| Views | 5 |
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% |
426
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
100% |
1343
249.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
504
8.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1539
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1971
2.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3470
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
83% |
1304
105.4 IPS |
|
|
Face Detection (SP)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1093
13.0 IPS |
|
|
Face Detection (Q)
|
95% |
3212
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1529
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1541
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3165
29.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3484
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3484
4.52 IPS |
|
|
Style Transfer (Q)
|
98% |
7939
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
830
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1883
69.8 IPS |
|
|
Text Classification (SP)
|
100% |
472
629.9 IPS |
|
|
Text Classification (HP)
|
100% |
467
623.6 IPS |
|
|
Text Classification (Q)
|
88% |
877
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
449
15.9 IPS |
