motorola motorola edge 20 pro
Geekbench ML Score
390
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2022 07:59 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | motorola motorola edge 20 pro |
| Model ID | motorola motorola edge 20 pro |
| Motherboard | pstar |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
367
39.3 IPS |
|
|
Image Classification (F16)
|
100% |
293
31.4 IPS |
|
|
Image Classification (I8)
|
81% |
205
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
543
3.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
551
3.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
830
5.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
261
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
242
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
340
11.9 IPS |
|
|
Object Detection (F16)
|
100% |
354
12.4 IPS |
|
|
Object Detection (I8)
|
52% |
274
9.62 IPS |
|
|
Face Detection (F32)
|
100% |
548
6.29 IPS |
|
|
Face Detection (F16)
|
100% |
552
6.34 IPS |
|
|
Face Detection (I8)
|
75% |
481
5.53 IPS |
|
|
Text Classification (F32)
|
100% |
346
136.9 IPS |
|
|
Text Classification (F16)
|
100% |
349
137.9 IPS |
|
|
Machine Translation (F32)
|
100% |
591
91.1 IPS |
|
|
Machine Translation (F16)
|
100% |
591
91.0 IPS |
