motorola motorola edge 50 pro
Geekbench AI Score
698
Single Precision Score
699
Half Precision Score
1342
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 15 2025 04:52 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% |
748
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.5 IPS |
|
|
Image Classification (Q)
|
100% |
1967
365.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1813
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1911
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1906
2.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
2678
3.18 IPS |
|
|
Object Detection (SP)
|
98% |
368
29.3 IPS |
|
|
Object Detection (HP)
|
98% |
368
29.3 IPS |
|
|
Object Detection (Q)
|
83% |
787
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
666
7.91 IPS |
|
|
Face Detection (HP)
|
100% |
675
8.02 IPS |
|
|
Face Detection (Q)
|
95% |
1707
20.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
866
6.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
873
6.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
2050
18.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2230
2.89 IPS |
|
|
Style Transfer (HP)
|
89% |
2234
2.90 IPS |
|
|
Style Transfer (Q)
|
98% |
5308
6.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
487
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1404
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
256
342.2 IPS |
|
|
Text Classification (HP)
|
99% |
253
337.2 IPS |
|
|
Text Classification (Q)
|
88% |
419
564.5 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
50% |
232
8.25 IPS |
