motorola motorola edge 50 pro
Geekbench AI Score
803
Single Precision Score
806
Half Precision Score
1483
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 12:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 50 pro |
| Model ID | motorola motorola edge 50 pro |
| Motherboard | eqe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
745
138.6 IPS |
|
|
Image Classification (HP)
|
100% |
754
140.3 IPS |
|
|
Image Classification (Q)
|
100% |
1913
355.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1821
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1813
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1880
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
4706
5.58 IPS |
|
|
Object Detection (SP)
|
98% |
684
54.4 IPS |
|
|
Object Detection (HP)
|
98% |
680
54.1 IPS |
|
|
Object Detection (Q)
|
83% |
1609
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
1725
20.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1434
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1447
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2096
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2252
2.92 IPS |
|
|
Style Transfer (HP)
|
89% |
2246
2.92 IPS |
|
|
Style Transfer (Q)
|
98% |
5009
6.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
452
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1283
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.9 IPS |
|
|
Text Classification (HP)
|
99% |
231
308.3 IPS |
|
|
Text Classification (Q)
|
88% |
391
527.9 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
50% |
216
7.66 IPS |
