OPPO PEMM00
Geekbench ML Score
203
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | July 17 2025 12:22 AM |
| Views | 2 |
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% |
105
11.2 IPS |
|
|
Image Classification (F16)
|
100% |
98
10.5 IPS |
|
|
Image Classification (I8)
|
81% |
156
16.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
235
1.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
233
1.44 IPS |
|
|
Image Segmentation (I8)
|
89% |
529
3.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
123
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
125
0.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
103
3.61 IPS |
|
|
Object Detection (F16)
|
100% |
101
3.54 IPS |
|
|
Object Detection (I8)
|
52% |
292
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
310
3.56 IPS |
|
|
Face Detection (F16)
|
100% |
231
2.66 IPS |
|
|
Face Detection (I8)
|
75% |
338
3.89 IPS |
|
|
Text Classification (F32)
|
100% |
420
166.0 IPS |
|
|
Text Classification (F16)
|
100% |
414
163.8 IPS |
|
|
Machine Translation (F32)
|
100% |
249
38.3 IPS |
|
|
Machine Translation (F16)
|
100% |
250
38.5 IPS |
