motorola motorola edge 50 neo
Geekbench AI Score
537
Single Precision Score
1321
Half Precision Score
2709
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Da_lioX |
| Upload Date | September 02 2025 12:51 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
415
77.2 IPS |
|
|
Image Classification (HP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (Q)
|
99% |
4526
844.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2037
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2691
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6660
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
26982
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (Q)
|
86% |
2201
177.0 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
9187
109.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
403
3.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
6981
53.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
14497
137.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1684
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
315
0.41 IPS |
|
|
Style Transfer (Q)
|
30% |
389
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4153
153.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3064
446.2 IPS |
|
|
Text Classification (SP)
|
100% |
70
94.0 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.6 IPS |
|
|
Text Classification (Q)
|
93% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
53% |
187
5.37 IPS |
