realme RMX3085
Geekbench ML Score
200
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 18 2023 02:20 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | realme RMX3085 |
| Model ID | realme RMX3085 |
| Motherboard | RM6785 |
| CPU Information | |
|---|---|
| Name | ARM MT6785V/CD |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 3.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
102
10.9 IPS |
|
|
Image Classification (F16)
|
100% |
86
9.21 IPS |
|
|
Image Classification (I8)
|
81% |
186
19.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
308
1.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
314
1.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
479
2.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
113
0.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
107
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
157
5.53 IPS |
|
|
Object Detection (F16)
|
100% |
126
4.42 IPS |
|
|
Object Detection (I8)
|
52% |
250
8.78 IPS |
|
|
Face Detection (F32)
|
100% |
330
3.79 IPS |
|
|
Face Detection (F16)
|
100% |
268
3.08 IPS |
|
|
Face Detection (I8)
|
75% |
334
3.83 IPS |
|
|
Text Classification (F32)
|
100% |
278
109.8 IPS |
|
|
Text Classification (F16)
|
100% |
306
121.0 IPS |
|
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
205
31.6 IPS |
