motorola moto g56 5G
Geekbench AI Score
533
Single Precision Score
533
Half Precision Score
1009
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 10:04 PM |
| Views | 2 |
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% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
100% |
691
128.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1142
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1148
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
1702
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
658
53.1 IPS |
|
|
Face Detection (SP)
|
100% |
775
9.20 IPS |
|
|
Face Detection (HP)
|
100% |
768
9.12 IPS |
|
|
Face Detection (Q)
|
95% |
1610
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1014
7.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
1019
7.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1562
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1968
2.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1970
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
4006
5.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
954
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.6 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.6 IPS |
|
|
Text Classification (Q)
|
88% |
544
733.9 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
50% |
350
12.4 IPS |
