motorola motorola edge 50 pro
Geekbench AI Score
1064
Single Precision Score
1069
Half Precision Score
2585
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 05:05 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
703
130.8 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.9 IPS |
|
|
Image Classification (Q)
|
100% |
1843
342.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2023
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1943
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1935
2.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
5377
6.38 IPS |
|
|
Object Detection (SP)
|
98% |
637
50.7 IPS |
|
|
Object Detection (HP)
|
98% |
665
52.9 IPS |
|
|
Object Detection (Q)
|
83% |
1698
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1155
13.7 IPS |
|
|
Face Detection (Q)
|
95% |
4182
49.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1443
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1456
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4099
37.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4411
5.73 IPS |
|
|
Style Transfer (HP)
|
89% |
4475
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
12141
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3139
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.6 IPS |
|
|
Text Classification (HP)
|
99% |
584
780.1 IPS |
|
|
Text Classification (Q)
|
88% |
1168
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
513
18.2 IPS |
