motorola motorola edge 30 pro
Geekbench ML Score
501
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 21 2022 06:23 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola motorola edge 30 pro |
| Model ID | motorola motorola edge 30 pro |
| Motherboard | hiphi |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.98 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
499
53.5 IPS |
|
|
Image Classification (F16)
|
100% |
495
53.0 IPS |
|
|
Image Classification (I8)
|
81% |
192
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
797
4.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
784
4.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
891
5.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
318
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
304
1.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
520
18.2 IPS |
|
|
Object Detection (F16)
|
100% |
523
18.3 IPS |
|
|
Object Detection (I8)
|
52% |
306
10.7 IPS |
|
|
Face Detection (F32)
|
100% |
827
9.50 IPS |
|
|
Face Detection (F16)
|
100% |
813
9.34 IPS |
|
|
Face Detection (I8)
|
75% |
535
6.15 IPS |
|
|
Text Classification (F32)
|
100% |
332
131.2 IPS |
|
|
Text Classification (F16)
|
100% |
335
132.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1012
155.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1009
155.5 IPS |
