motorola moto g86 5G
Geekbench AI Score
862
Single Precision Score
861
Half Precision Score
1840
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 01:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g86 5G |
| Model ID | motorola moto g86 5G |
| Motherboard | nice |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
100% |
1320
245.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1500
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1907
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
3408
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
1264
102.1 IPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
3146
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1467
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1486
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3121
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3332
4.33 IPS |
|
|
Style Transfer (HP)
|
89% |
3341
4.34 IPS |
|
|
Style Transfer (Q)
|
98% |
7773
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
802
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
799
29.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1829
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.3 IPS |
|
|
Text Classification (HP)
|
100% |
466
622.1 IPS |
|
|
Text Classification (Q)
|
88% |
855
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
439
15.6 IPS |
