motorola moto g stylus 5G - 2023
Geekbench AI Score
761
Single Precision Score
766
Half Precision Score
1394
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tacsignals |
| Upload Date | February 20 2025 06:03 AM |
| 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 - 2023 |
| Model ID | motorola moto g stylus 5G - 2023 |
| Motherboard | genevn |
| 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 | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
100% |
1295
240.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1520
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1907
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1910
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
3303
3.92 IPS |
|
|
Object Detection (SP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (Q)
|
83% |
1178
95.2 IPS |
|
|
Face Detection (SP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
2942
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1471
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1494
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2944
27.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3320
4.31 IPS |
|
|
Style Transfer (HP)
|
89% |
3315
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
7481
9.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1671
61.9 IPS |
|
|
Text Classification (SP)
|
100% |
434
578.7 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.4 IPS |
|
|
Text Classification (Q)
|
88% |
230
309.8 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
50% |
146
5.18 IPS |
