motorola moto g56 5G
Geekbench AI Score
458
Single Precision Score
458
Half Precision Score
901
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 09:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g56 5G |
| Model ID | motorola moto g56 5G |
| Motherboard | bogota |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
100% |
606
112.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
686
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1028
1.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
1574
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (Q)
|
83% |
591
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (HP)
|
100% |
677
8.04 IPS |
|
|
Face Detection (Q)
|
95% |
1456
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
842
6.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
797
6.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
1431
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1803
2.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1802
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3733
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
857
31.8 IPS |
|
|
Text Classification (SP)
|
100% |
228
304.9 IPS |
|
|
Text Classification (HP)
|
100% |
230
306.9 IPS |
|
|
Text Classification (Q)
|
88% |
475
640.8 IPS |
|
|
Machine Translation (SP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (Q)
|
50% |
291
10.3 IPS |
