motorola motorola edge 50 neo
Geekbench AI Score
538
Single Precision Score
1318
Half Precision Score
2694
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | HWFF |
| Upload Date | November 12 2025 01:02 PM |
| Views | 2 |
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% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
1517
282.2 IPS |
|
|
Image Classification (Q)
|
99% |
4514
841.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2025
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2689
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
6661
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
27022
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (Q)
|
86% |
2205
177.3 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
3736
44.4 IPS |
|
|
Face Detection (Q)
|
97% |
9084
108.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
401
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
6953
53.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
14406
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1681
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
309
0.40 IPS |
|
|
Style Transfer (Q)
|
30% |
387
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4124
152.3 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3046
443.6 IPS |
|
|
Text Classification (SP)
|
100% |
70
93.3 IPS |
|
|
Text Classification (HP)
|
100% |
114
152.3 IPS |
|
|
Text Classification (Q)
|
93% |
1293
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
185
3.18 IPS |
|
|
Machine Translation (Q)
|
53% |
186
5.35 IPS |
