motorola motorola edge 50 fusion
Geekbench AI Score
740
Single Precision Score
749
Half Precision Score
1382
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 03:31 AM |
| 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 fusion |
| Model ID | motorola motorola edge 50 fusion |
| Motherboard | cuscoi |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
100% |
1452
270.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1659
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2022
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1993
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3774
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1261
101.8 IPS |
|
|
Face Detection (SP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3392
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1586
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1588
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3422
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3544
4.60 IPS |
|
|
Style Transfer (HP)
|
89% |
3554
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
5378
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
849
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
682
25.3 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.6 IPS |
|
|
Text Classification (Q)
|
88% |
285
385.0 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
50% |
183
6.50 IPS |
