realme RMP2102
Geekbench ML Score
159
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 28 2023 02:55 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | realme RMP2102 |
| Model ID | realme RMP2102 |
| Motherboard | oppo8786 |
| CPU Information | |
|---|---|
| Name | ARM MT8786V/CA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
97
10.4 IPS |
|
|
Image Classification (F16)
|
100% |
105
11.3 IPS |
|
|
Image Classification (I8)
|
81% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
218
1.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
203
1.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
532
3.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
93
0.38 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
106
3.71 IPS |
|
|
Object Detection (F16)
|
100% |
127
4.47 IPS |
|
|
Object Detection (I8)
|
52% |
282
9.90 IPS |
|
|
Face Detection (F32)
|
100% |
194
2.23 IPS |
|
|
Face Detection (F16)
|
100% |
201
2.31 IPS |
|
|
Face Detection (I8)
|
75% |
367
4.21 IPS |
|
|
Text Classification (F32)
|
100% |
182
71.9 IPS |
|
|
Text Classification (F16)
|
100% |
181
71.5 IPS |
|
|
Machine Translation (F32)
|
100% |
85
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
84
12.9 IPS |
