motorola motorola edge 50 neo
Geekbench AI Score
542
Single Precision Score
1322
Half Precision Score
2713
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 05:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
100% |
1520
282.7 IPS |
|
|
Image Classification (Q)
|
99% |
4581
854.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2032
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2677
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6676
7.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
27018
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (Q)
|
86% |
2225
179.0 IPS |
|
|
Face Detection (SP)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
3769
44.8 IPS |
|
|
Face Detection (Q)
|
97% |
9220
110.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
400
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
6996
53.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
14567
138.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1683
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
305
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
381
5.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
930
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4168
153.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3081
448.7 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.6 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.5 IPS |
|
|
Text Classification (Q)
|
93% |
1321
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
184
3.18 IPS |
|
|
Machine Translation (HP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (Q)
|
53% |
186
5.36 IPS |
