motorola motorola edge 50 pro
Geekbench AI Score
713
Single Precision Score
1139
Half Precision Score
941
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 10:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
507
94.4 IPS |
|
|
Image Classification (HP)
|
100% |
802
149.2 IPS |
|
|
Image Classification (Q)
|
99% |
842
157.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1111
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3239
3.78 IPS |
|
|
Pose Estimation (HP)
|
99% |
6189
7.24 IPS |
|
|
Pose Estimation (Q)
|
97% |
5873
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
99% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
82% |
627
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1959
23.3 IPS |
|
|
Face Detection (Q)
|
97% |
1463
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1979
15.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3548
27.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2760
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4176
5.37 IPS |
|
|
Style Transfer (HP)
|
100% |
8732
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8835
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1302
48.2 IPS |
|
|
Text Classification (SP)
|
35% |
24
235.8 IPS |
|
|
Text Classification (HP)
|
35% |
32
287.7 IPS |
|
|
Text Classification (Q)
|
35% |
34
333.6 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
97% |
302
5.23 IPS |
|
|
Machine Translation (Q)
|
49% |
101
3.80 IPS |
