motorola moto g 5G - 2024
Geekbench AI Score
511
Single Precision Score
509
Half Precision Score
948
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | kvnsalters |
| Upload Date | October 01 2024 08:48 PM |
| Views | 5 |
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% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (Q)
|
100% |
658
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1133
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1131
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1588
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (Q)
|
83% |
653
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.89 IPS |
|
|
Face Detection (Q)
|
95% |
1574
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
979
7.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
990
7.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
1494
13.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1897
2.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1908
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3657
4.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
497
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
862
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
251
334.9 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.8 IPS |
|
|
Text Classification (Q)
|
88% |
481
648.8 IPS |
|
|
Machine Translation (SP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
50% |
318
11.3 IPS |
