OPPO PEDM00
Geekbench ML Score
749
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2021 05:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OPPO PEDM00 |
| Model ID | OPPO PEDM00 |
| Motherboard | kona |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
744
79.7 IPS |
|
|
Image Classification (F16)
|
100% |
1077
115.4 IPS |
|
|
Image Classification (I8)
|
80% |
2519
269.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
956
5.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
1153
7.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
5206
32.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
459
1.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
1726
6.98 IPS |
|
|
Pose Estimation (I8)
|
80% |
3631
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
537
18.8 IPS |
|
|
Object Detection (F16)
|
100% |
681
23.9 IPS |
|
|
Object Detection (I8)
|
52% |
918
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
968
11.1 IPS |
|
|
Face Detection (F16)
|
97% |
1201
13.8 IPS |
|
|
Face Detection (I8)
|
75% |
4450
51.1 IPS |
|
|
Text Classification (F32)
|
54% |
14
5.64 IPS |
|
|
Text Classification (F16)
|
54% |
22
8.59 IPS |
|
|
Machine Translation (F32)
|
100% |
480
74.0 IPS |
|
|
Machine Translation (F16)
|
100% |
483
74.4 IPS |
