motorola moto g86 power 5G
Geekbench AI Score
510
Single Precision Score
696
Half Precision Score
572
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 12 2025 09:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola moto g86 power 5G |
| Model ID | motorola moto g86 power 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 | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
97% |
295
55.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
854
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2156
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3653
4.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
3751
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
99% |
349
27.6 IPS |
|
|
Object Detection (Q)
|
83% |
330
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (Q)
|
96% |
1365
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1251
9.64 IPS |
|
|
Depth Estimation (HP)
|
98% |
2141
16.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1698
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3481
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
6386
8.21 IPS |
|
|
Style Transfer (Q)
|
98% |
6359
8.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
640
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
943
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
934
34.6 IPS |
|
|
Text Classification (SP)
|
35% |
20
183.9 IPS |
|
|
Text Classification (HP)
|
29% |
7
121.3 IPS |
|
|
Text Classification (Q)
|
32% |
9
119.0 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
43% |
98
5.68 IPS |
