motorola motorola edge 30
Geekbench ML Score
368
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 03 2023 05:20 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
398
42.6 IPS |
|
|
Image Classification (F16)
|
100% |
373
40.0 IPS |
|
|
Image Classification (I8)
|
81% |
215
23.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
570
3.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
575
3.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
856
5.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
220
0.89 IPS |
|
|
Pose Estimation (I8)
|
80% |
167
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
357
12.5 IPS |
|
|
Object Detection (F16)
|
100% |
356
12.5 IPS |
|
|
Object Detection (I8)
|
52% |
289
10.1 IPS |
|
|
Face Detection (F32)
|
100% |
545
6.26 IPS |
|
|
Face Detection (F16)
|
100% |
512
5.89 IPS |
|
|
Face Detection (I8)
|
75% |
490
5.63 IPS |
|
|
Text Classification (F32)
|
100% |
278
110.0 IPS |
|
|
Text Classification (F16)
|
100% |
276
109.2 IPS |
|
|
Machine Translation (F32)
|
100% |
427
65.8 IPS |
|
|
Machine Translation (F16)
|
100% |
430
66.2 IPS |
