motorola moto g64 5G
Geekbench AI Score
585
Single Precision Score
582
Half Precision Score
1136
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 14 2026 05:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g64 5G |
| Model ID | motorola moto g64 5G |
| Motherboard | cancunf |
| 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 @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
100% |
775
144.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
873
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1220
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1243
1.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
1906
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
83% |
745
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.89 IPS |
|
|
Face Detection (HP)
|
100% |
828
9.83 IPS |
|
|
Face Detection (Q)
|
95% |
1820
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1102
8.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
1081
8.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1783
16.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2163
2.81 IPS |
|
|
Style Transfer (HP)
|
89% |
2154
2.80 IPS |
|
|
Style Transfer (Q)
|
98% |
4491
5.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1060
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.6 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.0 IPS |
|
|
Text Classification (Q)
|
88% |
624
842.2 IPS |
|
|
Machine Translation (SP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
50% |
388
13.8 IPS |
