realme RMX3360
Geekbench ML Score
856
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 09:18 PM |
| Views | 3 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
707
75.7 IPS |
|
|
Image Classification (F16)
|
100% |
1140
122.2 IPS |
|
|
Image Classification (I8)
|
80% |
1031
110.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1560
9.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
2450
15.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
2259
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
702
2.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
1341
5.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
1304
5.28 IPS |
|
|
Object Detection (F32)
|
100% |
322
11.3 IPS |
|
|
Object Detection (F16)
|
99% |
328
11.5 IPS |
|
|
Object Detection (I8)
|
53% |
325
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
1146
13.2 IPS |
|
|
Face Detection (F16)
|
97% |
2230
25.6 IPS |
|
|
Face Detection (I8)
|
75% |
1566
18.0 IPS |
|
|
Text Classification (F32)
|
100% |
391
154.6 IPS |
|
|
Text Classification (F16)
|
98% |
500
197.8 IPS |
|
|
Machine Translation (F32)
|
100% |
472
72.8 IPS |
|
|
Machine Translation (F16)
|
100% |
471
72.7 IPS |
