motorola motorola edge 50
Geekbench AI Score
555
Single Precision Score
845
Half Precision Score
760
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | wwagner33 |
| Upload Date | January 23 2026 11:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 50 |
| Model ID | motorola motorola edge 50 |
| Motherboard | tank |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
400
74.3 IPS |
|
|
Image Classification (HP)
|
100% |
579
107.7 IPS |
|
|
Image Classification (Q)
|
99% |
548
102.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
859
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (HP)
|
99% |
4569
5.33 IPS |
|
|
Pose Estimation (Q)
|
97% |
4546
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
85% |
408
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1586
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1410
10.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2260
17.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
1877
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3219
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
6637
8.53 IPS |
|
|
Style Transfer (Q)
|
98% |
6423
8.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
875
32.4 IPS |
|
|
Text Classification (SP)
|
35% |
17
166.0 IPS |
|
|
Text Classification (HP)
|
35% |
24
218.9 IPS |
|
|
Text Classification (Q)
|
35% |
23
210.3 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (HP)
|
97% |
243
4.20 IPS |
|
|
Machine Translation (Q)
|
64% |
192
3.94 IPS |
