realme RMX3741
Geekbench ML Score
187
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 03 2023 01:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3741 |
| Model ID | realme RMX3741 |
| Motherboard | RM6877 |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
60
6.42 IPS |
|
|
Image Classification (F16)
|
100% |
77
8.23 IPS |
|
|
Image Classification (I8)
|
81% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
251
1.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
223
1.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
659
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
160
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
158
0.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
178
0.72 IPS |
|
|
Object Detection (F32)
|
100% |
86
3.01 IPS |
|
|
Object Detection (F16)
|
100% |
80
2.82 IPS |
|
|
Object Detection (I8)
|
52% |
308
10.8 IPS |
|
|
Face Detection (F32)
|
100% |
191
2.20 IPS |
|
|
Face Detection (F16)
|
100% |
218
2.51 IPS |
|
|
Face Detection (I8)
|
75% |
436
5.01 IPS |
|
|
Text Classification (F32)
|
100% |
220
87.2 IPS |
|
|
Text Classification (F16)
|
100% |
139
55.1 IPS |
|
|
Machine Translation (F32)
|
100% |
274
42.2 IPS |
|
|
Machine Translation (F16)
|
100% |
288
44.4 IPS |
