motorola moto g84 5G
Geekbench AI Score
510
Single Precision Score
503
Half Precision Score
950
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 01:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola moto g84 5G |
| Model ID | motorola moto g84 5G |
| Motherboard | bangkk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
100% |
726
135.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1191
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1072
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
1501
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
83% |
617
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
95% |
1493
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
946
7.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
64% |
1405
12.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1801
2.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1798
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3574
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
868
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
252
336.8 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.7 IPS |
|
|
Text Classification (Q)
|
88% |
496
668.7 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
