realme RMX3301
Geekbench ML Score
290
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 11 2025 05:44 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
132
14.1 IPS |
|
|
Image Classification (F16)
|
100% |
148
15.8 IPS |
|
|
Image Classification (I8)
|
81% |
171
18.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
439
2.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
563
3.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
729
4.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
219
0.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
218
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
143
5.03 IPS |
|
|
Object Detection (F16)
|
100% |
200
7.01 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.14 IPS |
|
|
Face Detection (F32)
|
100% |
310
3.56 IPS |
|
|
Face Detection (F16)
|
100% |
302
3.47 IPS |
|
|
Face Detection (I8)
|
75% |
419
4.81 IPS |
|
|
Text Classification (F32)
|
100% |
224
88.4 IPS |
|
|
Text Classification (F16)
|
100% |
200
78.9 IPS |
|
|
Machine Translation (F32)
|
100% |
845
130.3 IPS |
|
|
Machine Translation (F16)
|
100% |
899
138.5 IPS |
