motorola moto g 5G - 2024
Geekbench AI Score
504
Single Precision Score
501
Half Precision Score
922
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | October 13 2024 02:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g 5G - 2024 |
| Model ID | motorola moto g 5G - 2024 |
| Motherboard | fogo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
100% |
662
123.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
762
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1127
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
1485
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
83% |
613
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
720
8.55 IPS |
|
|
Face Detection (HP)
|
100% |
705
8.38 IPS |
|
|
Face Detection (Q)
|
95% |
1479
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
951
7.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
953
7.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1392
12.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1809
2.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1811
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
3541
4.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
862
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.5 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.8 IPS |
|
|
Text Classification (Q)
|
88% |
481
648.7 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
