motorola moto g85 5G
Geekbench AI Score
130
Single Precision Score
129
Half Precision Score
358
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 13 2025 08:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
76
14.2 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.2 IPS |
|
|
Image Classification (Q)
|
99% |
232
43.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
106
1.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
284
4.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
133
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
133
0.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
536
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.93 IPS |
|
|
Object Detection (HP)
|
100% |
75
5.95 IPS |
|
|
Object Detection (Q)
|
87% |
239
19.2 IPS |
|
|
Face Detection (SP)
|
100% |
220
2.61 IPS |
|
|
Face Detection (HP)
|
100% |
221
2.63 IPS |
|
|
Face Detection (Q)
|
97% |
569
6.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
174
1.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
174
1.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
484
4.39 IPS |
|
|
Style Transfer (SP)
|
100% |
308
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
305
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
982
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79
2.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
79
2.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
302
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
103
137.0 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.8 IPS |
|
|
Text Classification (Q)
|
91% |
251
337.1 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.11 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
57% |
200
4.88 IPS |
