motorola moto g 5G - 2024
Geekbench AI Score
517
Single Precision Score
516
Half Precision Score
954
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 03:09 AM |
| Views | 1 |
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% |
223
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
660
122.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1072
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1574
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
654
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
739
8.79 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
95% |
1515
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
985
7.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1488
13.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1887
2.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1889
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3727
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
917
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
266
354.6 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.5 IPS |
|
|
Text Classification (Q)
|
88% |
505
681.8 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
