motorola motorola edge 50 neo
Geekbench AI Score
542
Single Precision Score
1322
Half Precision Score
2712
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 12 2024 08:18 AM |
| Views | 22 |
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% |
423
78.6 IPS |
|
|
Image Classification (HP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (Q)
|
99% |
4602
858.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2051
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2736
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6679
7.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
27060
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.5 IPS |
|
|
Object Detection (HP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (Q)
|
86% |
2208
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (Q)
|
97% |
9211
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
403
3.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
7011
54.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
14513
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1684
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
307
0.39 IPS |
|
|
Style Transfer (Q)
|
30% |
390
5.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
3052
444.5 IPS |
|
|
Text Classification (SP)
|
100% |
72
96.4 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.5 IPS |
|
|
Text Classification (Q)
|
93% |
1311
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
183
3.16 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (Q)
|
53% |
183
5.27 IPS |
