realme RMX3031
Geekbench ML Score
234
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 02:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | realme RMX3031 |
| Model ID | realme RMX3031 |
| Motherboard | RM6893 |
| CPU Information | |
|---|---|
| Name | ARM MT6893Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
134
14.4 IPS |
|
|
Image Classification (F16)
|
100% |
114
12.3 IPS |
|
|
Image Classification (I8)
|
81% |
167
17.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
429
2.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
440
2.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
637
3.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
213
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
202
0.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
160
0.65 IPS |
|
|
Object Detection (F32)
|
100% |
122
4.28 IPS |
|
|
Object Detection (F16)
|
100% |
126
4.41 IPS |
|
|
Object Detection (I8)
|
52% |
243
8.52 IPS |
|
|
Face Detection (F32)
|
100% |
261
2.99 IPS |
|
|
Face Detection (F16)
|
100% |
256
2.94 IPS |
|
|
Face Detection (I8)
|
75% |
391
4.49 IPS |
|
|
Text Classification (F32)
|
100% |
198
78.5 IPS |
|
|
Text Classification (F16)
|
100% |
181
71.5 IPS |
|
|
Machine Translation (F32)
|
100% |
382
58.9 IPS |
|
|
Machine Translation (F16)
|
100% |
388
59.8 IPS |
