realme RMX2040
Geekbench ML Score
161
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 08 2023 05:38 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | realme RMX2040 |
| Model ID | realme RMX2040 |
| Motherboard | oppo6769 |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
116
12.5 IPS |
|
|
Image Classification (F16)
|
100% |
91
9.79 IPS |
|
|
Image Classification (I8)
|
81% |
209
22.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
208
1.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
214
1.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
528
3.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
100
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
109
3.83 IPS |
|
|
Object Detection (F16)
|
100% |
105
3.67 IPS |
|
|
Object Detection (I8)
|
52% |
288
10.1 IPS |
|
|
Face Detection (F32)
|
100% |
234
2.69 IPS |
|
|
Face Detection (F16)
|
100% |
219
2.51 IPS |
|
|
Face Detection (I8)
|
75% |
364
4.18 IPS |
|
|
Text Classification (F32)
|
100% |
175
69.1 IPS |
|
|
Text Classification (F16)
|
100% |
180
71.3 IPS |
|
|
Machine Translation (F32)
|
100% |
82
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
84
13.0 IPS |
