realme RMX3363
Geekbench ML Score
926
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 16 2022 05:32 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | realme RMX3363 |
| Model ID | realme RMX3363 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
701
75.2 IPS |
|
|
Image Classification (F16)
|
100% |
1012
108.4 IPS |
|
|
Image Classification (I8)
|
80% |
886
94.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1526
9.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
2587
16.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
2615
16.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
688
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
1336
5.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
1340
5.42 IPS |
|
|
Object Detection (F32)
|
100% |
469
16.5 IPS |
|
|
Object Detection (F16)
|
99% |
604
21.2 IPS |
|
|
Object Detection (I8)
|
53% |
447
15.7 IPS |
|
|
Face Detection (F32)
|
100% |
1185
13.6 IPS |
|
|
Face Detection (F16)
|
97% |
2048
23.5 IPS |
|
|
Face Detection (I8)
|
75% |
1665
19.1 IPS |
|
|
Text Classification (F32)
|
100% |
426
168.4 IPS |
|
|
Text Classification (F16)
|
98% |
569
224.9 IPS |
|
|
Machine Translation (F32)
|
100% |
484
74.6 IPS |
|
|
Machine Translation (F16)
|
100% |
486
74.9 IPS |
