realme RMX3301
Geekbench ML Score
428
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 11 2025 05:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3301 |
| Model ID | realme RMX3301 |
| 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 | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
325
34.8 IPS |
|
|
Image Classification (F16)
|
100% |
337
36.1 IPS |
|
|
Image Classification (I8)
|
81% |
387
41.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
520
3.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
595
3.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
701
4.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
212
0.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
388
13.6 IPS |
|
|
Object Detection (F16)
|
100% |
233
8.17 IPS |
|
|
Object Detection (I8)
|
52% |
422
14.8 IPS |
|
|
Face Detection (F32)
|
100% |
332
3.81 IPS |
|
|
Face Detection (F16)
|
100% |
265
3.05 IPS |
|
|
Face Detection (I8)
|
75% |
517
5.94 IPS |
|
|
Text Classification (F32)
|
100% |
1131
447.3 IPS |
|
|
Text Classification (F16)
|
100% |
1135
449.0 IPS |
|
|
Machine Translation (F32)
|
100% |
905
139.4 IPS |
|
|
Machine Translation (F16)
|
100% |
907
139.7 IPS |
