realme RMX3780
Geekbench ML Score
216
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 04 2023 09:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3780 |
| Model ID | realme RMX3780 |
| Motherboard | k6835v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
160
17.1 IPS |
|
|
Image Classification (F16)
|
100% |
130
13.9 IPS |
|
|
Image Classification (I8)
|
81% |
234
25.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
216
1.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
209
1.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
658
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
165
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
87
3.06 IPS |
|
|
Object Detection (F16)
|
100% |
91
3.20 IPS |
|
|
Object Detection (I8)
|
52% |
330
11.6 IPS |
|
|
Face Detection (F32)
|
100% |
191
2.19 IPS |
|
|
Face Detection (F16)
|
100% |
185
2.12 IPS |
|
|
Face Detection (I8)
|
75% |
475
5.46 IPS |
|
|
Text Classification (F32)
|
100% |
421
166.6 IPS |
|
|
Text Classification (F16)
|
100% |
398
157.2 IPS |
|
|
Machine Translation (F32)
|
100% |
247
38.1 IPS |
|
|
Machine Translation (F16)
|
100% |
247
38.1 IPS |
