motorola motorola edge 50 neo
Geekbench AI Score
933
Single Precision Score
934
Half Precision Score
2075
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | HWFF |
| Upload Date | November 12 2025 01:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | motorola motorola edge 50 neo |
| Model ID | motorola motorola edge 50 neo |
| Motherboard | vienna |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
465
86.4 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
100% |
1488
276.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1746
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2049
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2043
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
3861
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
1417
114.5 IPS |
|
|
Face Detection (SP)
|
100% |
1085
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (Q)
|
95% |
3507
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1561
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1556
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3496
32.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3693
4.79 IPS |
|
|
Style Transfer (HP)
|
89% |
3694
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
8725
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
849
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2097
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
524
698.7 IPS |
|
|
Text Classification (HP)
|
100% |
518
691.8 IPS |
|
|
Text Classification (Q)
|
88% |
965
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.1 IPS |
