motorola motorola edge 30 pro
Geekbench ML Score
3177
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 21 2022 06:28 PM |
| Views | 3 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1309
140.2 IPS |
|
|
Image Classification (F16)
|
100% |
9306
997.1 IPS |
|
|
Image Classification (I8)
|
80% |
23024
2.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2847
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8365
51.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
43540
268.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
607
2.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
10659
43.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
55545
224.8 IPS |
|
|
Object Detection (F32)
|
100% |
1042
36.6 IPS |
|
|
Object Detection (F16)
|
100% |
1780
62.5 IPS |
|
|
Object Detection (I8)
|
53% |
1987
69.7 IPS |
|
|
Face Detection (F32)
|
100% |
2071
23.8 IPS |
|
|
Face Detection (F16)
|
97% |
7077
81.3 IPS |
|
|
Face Detection (I8)
|
76% |
48736
559.9 IPS |
|
|
Text Classification (F32)
|
100% |
15
5.99 IPS |
|
|
Text Classification (F16)
|
100% |
832
329.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1005
154.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1004
154.8 IPS |
