motorola motorola edge 30 neo
Geekbench AI Score
551
Single Precision Score
551
Half Precision Score
1059
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 12:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola edge 30 neo |
| Model ID | motorola motorola edge 30 neo |
| Motherboard | miami |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
100% |
720
133.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
830
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1195
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
1732
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
712
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
783
9.31 IPS |
|
|
Face Detection (HP)
|
100% |
783
9.30 IPS |
|
|
Face Detection (Q)
|
95% |
1730
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1024
7.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
1614
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2031
2.64 IPS |
|
|
Style Transfer (HP)
|
89% |
2034
2.64 IPS |
|
|
Style Transfer (Q)
|
98% |
4033
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.1 IPS |
|
|
Text Classification (HP)
|
100% |
287
382.5 IPS |
|
|
Text Classification (Q)
|
88% |
575
776.0 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
50% |
371
13.2 IPS |
