OPPO PEMM00
Geekbench ML Score
198
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | July 16 2025 11:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | OPPO PEMM00 |
| Model ID | OPPO PEMM00 |
| Motherboard | oppo6833 |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/ZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
108
11.5 IPS |
|
|
Image Classification (F16)
|
100% |
61
6.52 IPS |
|
|
Image Classification (I8)
|
81% |
160
17.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
237
1.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
241
1.49 IPS |
|
|
Image Segmentation (I8)
|
89% |
522
3.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
123
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
122
4.29 IPS |
|
|
Object Detection (F16)
|
100% |
98
3.44 IPS |
|
|
Object Detection (I8)
|
52% |
285
10.0 IPS |
|
|
Face Detection (F32)
|
100% |
245
2.81 IPS |
|
|
Face Detection (F16)
|
100% |
236
2.71 IPS |
|
|
Face Detection (I8)
|
75% |
345
3.96 IPS |
|
|
Text Classification (F32)
|
100% |
418
165.1 IPS |
|
|
Text Classification (F16)
|
100% |
410
162.0 IPS |
|
|
Machine Translation (F32)
|
100% |
252
38.8 IPS |
|
|
Machine Translation (F16)
|
100% |
249
38.4 IPS |
