motorola moto g stylus 5G - 2023
Geekbench AI Score
635
Single Precision Score
635
Half Precision Score
1263
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | qwertyyfluff |
| Upload Date | February 26 2025 08:46 PM |
| Views | 13 |
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% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.4 IPS |
|
|
Image Classification (Q)
|
100% |
1201
223.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
476
7.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1425
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1827
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1809
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
2979
3.53 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
83% |
1072
86.6 IPS |
|
|
Face Detection (SP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
2676
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1381
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2675
24.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2999
3.89 IPS |
|
|
Style Transfer (HP)
|
89% |
3046
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
6776
8.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
746
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1573
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
130
173.0 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.1 IPS |
|
|
Text Classification (Q)
|
88% |
194
261.8 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (Q)
|
50% |
128
4.53 IPS |
