motorola moto g stylus 5G - 2024
Geekbench AI Score
774
Single Precision Score
754
Half Precision Score
1768
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | wishindo |
| Upload Date | September 25 2024 10:17 PM |
| Views | 2 |
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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.4 IPS |
|
|
Image Classification (Q)
|
100% |
1271
236.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1655
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1659
1.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
3367
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
83% |
1187
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
947
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
3007
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1288
9.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1240
9.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
2843
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3137
4.07 IPS |
|
|
Style Transfer (HP)
|
89% |
2934
3.81 IPS |
|
|
Style Transfer (Q)
|
98% |
7756
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1801
66.7 IPS |
|
|
Text Classification (SP)
|
100% |
444
593.3 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.0 IPS |
|
|
Text Classification (Q)
|
88% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (Q)
|
50% |
423
15.0 IPS |
