motorola motorola edge 50 fusion
Geekbench AI Score
753
Single Precision Score
747
Half Precision Score
1643
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 03:09 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 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% |
450
83.7 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
100% |
1455
270.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1662
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
3773
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1404
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
3421
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1580
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1567
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3429
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3646
4.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3644
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
8617
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2020
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
175
234.2 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.9 IPS |
|
|
Text Classification (Q)
|
88% |
287
387.3 IPS |
|
|
Machine Translation (SP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
50% |
192
6.82 IPS |
