motorola moto g85 5G
Geekbench AI Score
354
Single Precision Score
548
Half Precision Score
435
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 13 2025 07:58 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
261
48.6 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
100% |
362
67.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
551
8.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
1512
1.76 IPS |
|
|
Pose Estimation (HP)
|
99% |
2411
2.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
2382
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (HP)
|
99% |
313
24.9 IPS |
|
|
Object Detection (Q)
|
87% |
301
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
744
8.84 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
1079
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.98 IPS |
|
|
Depth Estimation (HP)
|
98% |
1464
11.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
1123
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1989
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3595
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3435
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
541
20.0 IPS |
|
|
Text Classification (SP)
|
35% |
14
139.2 IPS |
|
|
Text Classification (HP)
|
35% |
25
224.8 IPS |
|
|
Text Classification (Q)
|
33% |
19
225.9 IPS |
|
|
Machine Translation (SP)
|
100% |
151
2.59 IPS |
|
|
Machine Translation (HP)
|
97% |
163
2.83 IPS |
|
|
Machine Translation (Q)
|
43% |
40
2.25 IPS |
