motorola moto g85 5G
Geekbench AI Score
565
Single Precision Score
564
Half Precision Score
1103
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 08:58 PM |
| Views | 1 |
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% |
248
46.1 IPS |
|
|
Image Classification (HP)
|
100% |
249
46.3 IPS |
|
|
Image Classification (Q)
|
100% |
749
139.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
862
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1225
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1225
1.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
1822
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
83% |
738
59.6 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (HP)
|
100% |
789
9.38 IPS |
|
|
Face Detection (Q)
|
95% |
1791
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1046
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1042
8.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
1703
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2106
2.73 IPS |
|
|
Style Transfer (HP)
|
89% |
2105
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
4329
5.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1044
38.7 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.8 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.3 IPS |
|
|
Text Classification (Q)
|
88% |
593
799.7 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
