motorola moto g 5G - 2024
Geekbench AI Score
324
Single Precision Score
492
Half Precision Score
465
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 08:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
99% |
311
57.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
331
5.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
487
7.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1283
1.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
1986
2.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
1963
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
99% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
85% |
282
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (HP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
975
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.94 IPS |
|
|
Depth Estimation (HP)
|
98% |
1178
9.11 IPS |
|
|
Depth Estimation (Q)
|
65% |
1036
9.31 IPS |
|
|
Style Transfer (SP)
|
100% |
1659
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
2951
3.79 IPS |
|
|
Style Transfer (Q)
|
98% |
2900
3.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
428
15.9 IPS |
|
|
Text Classification (SP)
|
35% |
13
124.0 IPS |
|
|
Text Classification (HP)
|
35% |
21
189.6 IPS |
|
|
Text Classification (Q)
|
35% |
21
187.0 IPS |
|
|
Machine Translation (SP)
|
100% |
208
3.59 IPS |
|
|
Machine Translation (HP)
|
97% |
284
4.91 IPS |
|
|
Machine Translation (Q)
|
64% |
218
4.48 IPS |
