motorola moto g86 5G
Geekbench AI Score
872
Single Precision Score
868
Half Precision Score
1853
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 08:48 AM |
| Views | 10 |
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
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
100% |
1326
246.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1555
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1934
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1929
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3400
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
83% |
1279
103.3 IPS |
|
|
Face Detection (SP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
3166
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1494
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1491
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3104
28.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3344
4.34 IPS |
|
|
Style Transfer (HP)
|
89% |
3349
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
7744
9.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1818
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
476
635.1 IPS |
|
|
Text Classification (HP)
|
100% |
465
620.8 IPS |
|
|
Text Classification (Q)
|
88% |
861
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
448
15.9 IPS |
