realme RMX3360
Geekbench ML Score
205
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 09:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3360 |
| Model ID | realme RMX3360 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
64
6.87 IPS |
|
|
Image Classification (F16)
|
100% |
68
7.27 IPS |
|
|
Image Classification (I8)
|
81% |
197
21.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
263
1.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
245
1.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
838
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
201
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
198
0.80 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
131
4.60 IPS |
|
|
Object Detection (F16)
|
100% |
124
4.35 IPS |
|
|
Object Detection (I8)
|
52% |
275
9.65 IPS |
|
|
Face Detection (F32)
|
100% |
187
2.15 IPS |
|
|
Face Detection (F16)
|
100% |
190
2.18 IPS |
|
|
Face Detection (I8)
|
75% |
401
4.61 IPS |
|
|
Text Classification (F32)
|
100% |
123
48.6 IPS |
|
|
Text Classification (F16)
|
100% |
125
49.5 IPS |
|
|
Machine Translation (F32)
|
100% |
477
73.5 IPS |
|
|
Machine Translation (F16)
|
100% |
451
69.5 IPS |
