motorola moto g85 5G
Geekbench AI Score
569
Single Precision Score
567
Half Precision Score
1108
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 03:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g85 5G |
| Model ID | motorola moto g85 5G |
| Motherboard | malmo |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 6 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
249
46.2 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.3 IPS |
|
|
Image Classification (Q)
|
100% |
757
140.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
865
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1226
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1230
1.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
1825
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (Q)
|
83% |
741
59.8 IPS |
|
|
Face Detection (SP)
|
100% |
794
9.43 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (Q)
|
95% |
1791
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1052
8.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
1050
8.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1708
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2110
2.74 IPS |
|
|
Style Transfer (HP)
|
89% |
2113
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
4336
5.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1047
38.8 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.5 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.3 IPS |
|
|
Text Classification (Q)
|
88% |
598
806.4 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (Q)
|
50% |
382
13.6 IPS |
