motorola moto g stylus 5G - 2024
Geekbench AI Score
787
Single Precision Score
720
Half Precision Score
1315
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 08 2025 03:17 PM |
| Views | 1 |
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% |
433
80.5 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
100% |
1344
249.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1564
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1982
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1986
2.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
3485
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
398
31.6 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (Q)
|
83% |
1291
104.3 IPS |
|
|
Face Detection (SP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1107
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3203
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1347
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1492
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3148
28.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3412
4.43 IPS |
|
|
Style Transfer (HP)
|
89% |
3412
4.43 IPS |
|
|
Style Transfer (Q)
|
98% |
5978
7.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
607
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.1 IPS |
|
|
Text Classification (HP)
|
100% |
157
210.2 IPS |
|
|
Text Classification (Q)
|
88% |
260
350.7 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
50% |
172
6.12 IPS |
