motorola motorola edge 50 neo
Geekbench AI Score
519
Single Precision Score
1300
Half Precision Score
2652
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 12:51 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% |
397
73.8 IPS |
|
|
Image Classification (HP)
|
100% |
1518
282.3 IPS |
|
|
Image Classification (Q)
|
99% |
4472
834.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2033
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2401
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
27036
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (Q)
|
86% |
2170
174.6 IPS |
|
|
Face Detection (SP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (Q)
|
97% |
8727
104.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
6904
53.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
13908
132.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1604
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
301
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
387
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4114
151.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3024
440.5 IPS |
|
|
Text Classification (SP)
|
100% |
70
93.7 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.7 IPS |
|
|
Text Classification (Q)
|
93% |
1280
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
53% |
178
5.10 IPS |
