motorola moto g stylus 5G - 2024
Geekbench AI Score
205
Single Precision Score
284
Half Precision Score
292
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | wishindo |
| Upload Date | September 25 2024 10:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
125
23.2 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
97% |
197
36.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
273
4.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
174
0.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
275
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
100
7.97 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
89% |
141
11.3 IPS |
|
|
Face Detection (SP)
|
100% |
375
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (Q)
|
97% |
485
5.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
273
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
440
3.40 IPS |
|
|
Depth Estimation (Q)
|
63% |
362
3.40 IPS |
|
|
Style Transfer (SP)
|
100% |
591
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1156
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1180
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
136
5.01 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
134
4.96 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.7 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.4 IPS |
|
|
Text Classification (Q)
|
91% |
307
412.7 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.32 IPS |
