motorola moto g85 5G
Geekbench AI Score
564
Single Precision Score
563
Half Precision Score
1103
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 13 2025 07:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.1 IPS |
|
|
Image Classification (Q)
|
100% |
751
139.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
860
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1228
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1225
1.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
1822
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
83% |
740
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
784
9.31 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
95% |
1777
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1038
8.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1703
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2108
2.74 IPS |
|
|
Style Transfer (HP)
|
89% |
2109
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
4338
5.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1044
38.7 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.6 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.6 IPS |
|
|
Text Classification (Q)
|
88% |
596
803.4 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
50% |
377
13.4 IPS |
