Realme RMX1941
Geekbench ML Score
78
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 08 2023 05:45 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | Realme RMX1941 |
| Model ID | Realme RMX1941 |
| Motherboard | RM6762_18540 |
| CPU Information | |
|---|---|
| Name | ARM MT6762V/WR |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 1.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
47
5.00 IPS |
|
|
Image Classification (F16)
|
100% |
43
4.64 IPS |
|
|
Image Classification (I8)
|
81% |
218
23.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
93
0.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
94
0.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
365
2.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
55
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
55
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
105
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
77
2.69 IPS |
|
|
Object Detection (F16)
|
100% |
70
2.44 IPS |
|
|
Object Detection (I8)
|
52% |
164
5.77 IPS |
|
|
Face Detection (F32)
|
100% |
103
1.19 IPS |
|
|
Face Detection (F16)
|
100% |
105
1.21 IPS |
|
|
Face Detection (I8)
|
75% |
328
3.77 IPS |
|
|
Text Classification (F32)
|
100% |
66
26.2 IPS |
|
|
Text Classification (F16)
|
100% |
67
26.7 IPS |
|
|
Machine Translation (F32)
|
100% |
12
1.85 IPS |
|
|
Machine Translation (F16)
|
100% |
12
1.82 IPS |
