motorola motorola edge 30
Geekbench ML Score
401
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 04:11 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola motorola edge 30 |
| Model ID | motorola motorola edge 30 |
| Motherboard | dubai |
| 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 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
401
42.9 IPS |
|
|
Image Classification (F16)
|
100% |
404
43.3 IPS |
|
|
Image Classification (I8)
|
81% |
218
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
632
3.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
634
3.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
912
5.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
267
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
265
1.07 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
424
14.9 IPS |
|
|
Object Detection (F16)
|
100% |
413
14.5 IPS |
|
|
Object Detection (I8)
|
52% |
328
11.5 IPS |
|
|
Face Detection (F32)
|
100% |
584
6.71 IPS |
|
|
Face Detection (F16)
|
100% |
583
6.69 IPS |
|
|
Face Detection (I8)
|
75% |
541
6.21 IPS |
|
|
Text Classification (F32)
|
100% |
251
99.4 IPS |
|
|
Text Classification (F16)
|
100% |
207
81.8 IPS |
|
|
Machine Translation (F32)
|
100% |
490
75.6 IPS |
|
|
Machine Translation (F16)
|
100% |
496
76.5 IPS |
