motorola motorola edge plus 2023
Geekbench ML Score
464
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 01 2023 11:32 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola motorola edge plus 2023 |
| Model ID | motorola motorola edge plus 2023 |
| Motherboard | rtwo |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
452
48.5 IPS |
|
|
Image Classification (F16)
|
100% |
453
48.6 IPS |
|
|
Image Classification (I8)
|
81% |
207
22.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
652
4.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
655
4.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
872
5.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
382
1.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
380
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
234
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
484
17.0 IPS |
|
|
Object Detection (F16)
|
100% |
480
16.9 IPS |
|
|
Object Detection (I8)
|
52% |
331
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
810
9.30 IPS |
|
|
Face Detection (F16)
|
100% |
812
9.33 IPS |
|
|
Face Detection (I8)
|
75% |
567
6.51 IPS |
|
|
Text Classification (F32)
|
100% |
308
121.6 IPS |
|
|
Text Classification (F16)
|
100% |
306
121.2 IPS |
|
|
Machine Translation (F32)
|
100% |
564
87.0 IPS |
|
|
Machine Translation (F16)
|
100% |
566
87.2 IPS |
