realme RMX2063
Geekbench ML Score
224
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | September 11 2024 11:50 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
121
13.0 IPS |
|
|
Image Classification (F16)
|
100% |
119
12.7 IPS |
|
|
Image Classification (I8)
|
81% |
186
19.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
319
1.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
331
2.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
525
3.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
141
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
140
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
200
7.03 IPS |
|
|
Object Detection (F16)
|
100% |
177
6.21 IPS |
|
|
Object Detection (I8)
|
52% |
347
12.2 IPS |
|
|
Face Detection (F32)
|
100% |
307
3.53 IPS |
|
|
Face Detection (F16)
|
100% |
298
3.42 IPS |
|
|
Face Detection (I8)
|
75% |
402
4.62 IPS |
|
|
Text Classification (F32)
|
100% |
246
97.3 IPS |
|
|
Text Classification (F16)
|
100% |
247
97.8 IPS |
|
|
Machine Translation (F32)
|
100% |
207
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
203
31.3 IPS |
