realme RMX2063
Geekbench ML Score
300
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 11 2024 11:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | realme RMX2063 |
| Model ID | realme RMX2063 |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
285
30.5 IPS |
|
|
Image Classification (F16)
|
100% |
368
39.4 IPS |
|
|
Image Classification (I8)
|
80% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
423
2.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
514
3.18 IPS |
|
|
Image Segmentation (I8)
|
89% |
1501
9.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
326
1.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
2562
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
306
10.7 IPS |
|
|
Object Detection (F16)
|
100% |
395
13.8 IPS |
|
|
Object Detection (I8)
|
52% |
717
25.2 IPS |
|
|
Face Detection (F32)
|
100% |
325
3.74 IPS |
|
|
Face Detection (F16)
|
97% |
373
4.29 IPS |
|
|
Face Detection (I8)
|
75% |
1545
17.7 IPS |
|
|
Text Classification (F32)
|
54% |
9
3.67 IPS |
|
|
Text Classification (F16)
|
54% |
10
3.77 IPS |
|
|
Machine Translation (F32)
|
100% |
209
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
207
31.8 IPS |
