realme RMX3700
Geekbench ML Score
351
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 08 2023 05:40 PM |
| Views | 21 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3700 |
| Model ID | realme RMX3700 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 14.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
252
27.1 IPS |
|
|
Image Classification (F16)
|
100% |
495
53.1 IPS |
|
|
Image Classification (I8)
|
81% |
190
20.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
460
2.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
410
2.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
931
5.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
292
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
281
1.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
257
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
177
6.20 IPS |
|
|
Object Detection (F16)
|
100% |
195
6.86 IPS |
|
|
Object Detection (I8)
|
52% |
249
8.72 IPS |
|
|
Face Detection (F32)
|
100% |
329
3.77 IPS |
|
|
Face Detection (F16)
|
100% |
341
3.92 IPS |
|
|
Face Detection (I8)
|
75% |
488
5.61 IPS |
|
|
Text Classification (F32)
|
100% |
271
107.3 IPS |
|
|
Text Classification (F16)
|
100% |
262
103.6 IPS |
|
|
Machine Translation (F32)
|
100% |
903
139.2 IPS |
|
|
Machine Translation (F16)
|
100% |
899
138.6 IPS |
