motorola moto g 5G - 2024
Geekbench AI Score
520
Single Precision Score
518
Half Precision Score
968
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Mckbrian |
| Upload Date | February 14 2025 01:51 AM |
| Views | 12 |
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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
100% |
663
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
764
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1129
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1130
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1595
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (Q)
|
83% |
652
52.7 IPS |
|
|
Face Detection (SP)
|
100% |
744
8.84 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
95% |
1572
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
995
7.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
988
7.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
1492
13.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1907
2.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1898
2.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3729
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
918
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.0 IPS |
|
|
Text Classification (HP)
|
100% |
266
354.9 IPS |
|
|
Text Classification (Q)
|
88% |
511
689.6 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
