motorola motorola edge 50 neo
Geekbench AI Score
540
Single Precision Score
1314
Half Precision Score
2702
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Nickayz |
| Upload Date | March 24 2026 01:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
1540
286.4 IPS |
|
|
Image Classification (Q)
|
99% |
4542
847.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2030
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2698
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6680
7.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
27058
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (Q)
|
86% |
2179
175.2 IPS |
|
|
Face Detection (SP)
|
100% |
1300
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
3715
44.1 IPS |
|
|
Face Detection (Q)
|
97% |
9149
109.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
401
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
6967
53.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
14591
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1673
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
306
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
385
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4128
152.4 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3060
445.6 IPS |
|
|
Text Classification (SP)
|
100% |
71
95.4 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.6 IPS |
|
|
Text Classification (Q)
|
93% |
1302
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (Q)
|
53% |
187
5.36 IPS |
