motorola motorola edge 30 pro
Geekbench ML Score
2077
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 22 2023 11:40 AM |
| Views | 1 |
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 | 7.09 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1699
182.1 IPS |
|
|
Image Classification (F16)
|
100% |
2558
274.1 IPS |
|
|
Image Classification (I8)
|
80% |
2694
288.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4459
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7696
47.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
7349
45.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1989
8.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
3825
15.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
3819
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
626
22.0 IPS |
|
|
Object Detection (F16)
|
99% |
779
27.3 IPS |
|
|
Object Detection (I8)
|
53% |
797
28.0 IPS |
|
|
Face Detection (F32)
|
100% |
2834
32.6 IPS |
|
|
Face Detection (F16)
|
97% |
5215
59.9 IPS |
|
|
Face Detection (I8)
|
75% |
4313
49.6 IPS |
|
|
Text Classification (F32)
|
100% |
842
333.2 IPS |
|
|
Text Classification (F16)
|
98% |
973
385.0 IPS |
|
|
Machine Translation (F32)
|
100% |
765
117.9 IPS |
|
|
Machine Translation (F16)
|
100% |
814
125.4 IPS |
