OPPO PDEM30
Geekbench ML Score
1219
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 10:24 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO PDEM30 |
| Model ID | OPPO PDEM30 |
| 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
848
90.9 IPS |
|
|
Image Classification (F16)
|
100% |
1384
148.3 IPS |
|
|
Image Classification (I8)
|
80% |
1147
122.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2382
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4076
25.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
3756
23.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1219
4.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
2090
8.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
2085
8.44 IPS |
|
|
Object Detection (F32)
|
100% |
475
16.7 IPS |
|
|
Object Detection (F16)
|
99% |
594
20.9 IPS |
|
|
Object Detection (I8)
|
53% |
594
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
1621
18.6 IPS |
|
|
Face Detection (F16)
|
97% |
2818
32.4 IPS |
|
|
Face Detection (I8)
|
76% |
2628
30.2 IPS |
|
|
Text Classification (F32)
|
100% |
491
194.3 IPS |
|
|
Text Classification (F16)
|
98% |
524
207.1 IPS |
|
|
Machine Translation (F32)
|
100% |
565
87.0 IPS |
|
|
Machine Translation (F16)
|
100% |
566
87.2 IPS |
