motorola motorola edge 50 pro
Geekbench AI Score
693
Single Precision Score
696
Half Precision Score
1354
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 10:31 AM |
| Views | 1 |
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% |
730
135.8 IPS |
|
|
Image Classification (HP)
|
100% |
776
144.3 IPS |
|
|
Image Classification (Q)
|
100% |
1976
367.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1966
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1911
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1875
2.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
2632
3.12 IPS |
|
|
Object Detection (SP)
|
98% |
372
29.6 IPS |
|
|
Object Detection (HP)
|
98% |
373
29.7 IPS |
|
|
Object Detection (Q)
|
83% |
796
64.3 IPS |
|
|
Face Detection (SP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (HP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (Q)
|
95% |
1702
20.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
880
6.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
878
6.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
2077
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2174
2.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2193
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
5334
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1391
51.6 IPS |
|
|
Text Classification (SP)
|
100% |
239
319.2 IPS |
|
|
Text Classification (HP)
|
99% |
251
335.6 IPS |
|
|
Text Classification (Q)
|
88% |
416
561.4 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
50% |
234
8.32 IPS |
