realme RMX2144
Geekbench ML Score
205
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 25 2024 08:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | realme RMX2144 |
| Model ID | realme RMX2144 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
127
13.6 IPS |
|
|
Image Classification (F16)
|
100% |
116
12.4 IPS |
|
|
Image Classification (I8)
|
81% |
126
13.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
323
2.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
323
2.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
456
2.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
135
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
137
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
147
5.15 IPS |
|
|
Object Detection (F16)
|
100% |
161
5.66 IPS |
|
|
Object Detection (I8)
|
52% |
194
6.81 IPS |
|
|
Face Detection (F32)
|
100% |
281
3.23 IPS |
|
|
Face Detection (F16)
|
100% |
277
3.18 IPS |
|
|
Face Detection (I8)
|
75% |
291
3.34 IPS |
|
|
Text Classification (F32)
|
100% |
215
84.9 IPS |
|
|
Text Classification (F16)
|
100% |
222
87.8 IPS |
|
|
Machine Translation (F32)
|
100% |
291
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
290
44.7 IPS |
