realme RMX3700
Geekbench ML Score
390
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 09 2023 10:00 AM |
| Views | 82 |
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 | 7.13 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
352
37.7 IPS |
|
|
Image Classification (F16)
|
100% |
350
37.5 IPS |
|
|
Image Classification (I8)
|
81% |
395
42.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
647
4.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
629
3.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
725
4.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
246
0.99 IPS |
|
|
Pose Estimation (I8)
|
80% |
127
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
109
3.81 IPS |
|
|
Object Detection (F16)
|
100% |
98
3.43 IPS |
|
|
Object Detection (I8)
|
52% |
446
15.7 IPS |
|
|
Face Detection (F32)
|
100% |
178
2.04 IPS |
|
|
Face Detection (F16)
|
100% |
331
3.80 IPS |
|
|
Face Detection (I8)
|
75% |
540
6.20 IPS |
|
|
Text Classification (F32)
|
100% |
1153
456.0 IPS |
|
|
Text Classification (F16)
|
100% |
1110
439.1 IPS |
|
|
Machine Translation (F32)
|
100% |
900
138.7 IPS |
|
|
Machine Translation (F16)
|
100% |
898
138.4 IPS |
