motorola moto g84 5G
Geekbench AI Score
553
Single Precision Score
552
Half Precision Score
1057
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 05 2025 05:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
100% |
710
132.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1200
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1206
1.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
1735
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
713
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (Q)
|
95% |
1721
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1030
7.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
1618
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2044
2.65 IPS |
|
|
Style Transfer (HP)
|
89% |
2038
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
4040
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1003
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.5 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.4 IPS |
|
|
Text Classification (Q)
|
88% |
576
777.4 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
368
13.1 IPS |
