OPPO PEMM00
Geekbench ML Score
156
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | July 17 2025 12:11 AM |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
74
7.90 IPS |
|
|
Image Classification (F16)
|
100% |
41
4.42 IPS |
|
|
Image Classification (I8)
|
81% |
181
19.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
289
1.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
309
1.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
329
2.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
111
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
111
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
57
0.23 IPS |
|
|
Object Detection (F32)
|
100% |
58
2.04 IPS |
|
|
Object Detection (F16)
|
100% |
50
1.75 IPS |
|
|
Object Detection (I8)
|
52% |
259
9.07 IPS |
|
|
Face Detection (F32)
|
100% |
132
1.51 IPS |
|
|
Face Detection (F16)
|
100% |
139
1.59 IPS |
|
|
Face Detection (I8)
|
75% |
252
2.89 IPS |
|
|
Text Classification (F32)
|
100% |
448
177.2 IPS |
|
|
Text Classification (F16)
|
100% |
449
177.5 IPS |
|
|
Machine Translation (F32)
|
100% |
248
38.3 IPS |
|
|
Machine Translation (F16)
|
100% |
249
38.4 IPS |
