motorola moto g86 5G
Geekbench AI Score
879
Single Precision Score
880
Half Precision Score
1853
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 10:07 AM |
| Views | 42 |
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% |
426
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
100% |
1322
245.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1561
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1921
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
3404
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (Q)
|
83% |
1275
103.0 IPS |
|
|
Face Detection (SP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (Q)
|
95% |
3145
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1498
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1505
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3111
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3427
4.45 IPS |
|
|
Style Transfer (HP)
|
89% |
3432
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
7772
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1836
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
471
628.8 IPS |
|
|
Text Classification (HP)
|
100% |
472
630.1 IPS |
|
|
Text Classification (Q)
|
88% |
858
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
447
15.9 IPS |
