motorola moto g stylus 5G - 2024/Snapdragon 6 gen 1 motorola moto g stylus 5G - 2024
Geekbench AI Score
313
Single Precision Score
305
Half Precision Score
622
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | arkansawdave74 |
| Upload Date | March 12 2025 07:53 AM |
| Views | 17 |
| Notes | Snapdragon 6 gen 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 | schedutil |
| 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% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.1 IPS |
|
|
Image Classification (Q)
|
100% |
473
88.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
515
8.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
656
0.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
1230
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (Q)
|
83% |
429
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.01 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.16 IPS |
|
|
Face Detection (Q)
|
95% |
902
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
507
3.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1060
9.71 IPS |
|
|
Style Transfer (SP)
|
89% |
1170
1.52 IPS |
|
|
Style Transfer (HP)
|
89% |
1181
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2492
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
159
211.9 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.6 IPS |
|
|
Text Classification (Q)
|
88% |
260
351.3 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
50% |
174
6.17 IPS |
