realme RMX3360
Geekbench ML Score
358
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2022 07:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | 7.11 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
342
36.7 IPS |
|
|
Image Classification (F16)
|
100% |
262
28.1 IPS |
|
|
Image Classification (I8)
|
81% |
185
19.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
523
3.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
536
3.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
874
5.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
260
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
255
1.03 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
330
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
316
11.1 IPS |
|
|
Object Detection (I8)
|
52% |
246
8.63 IPS |
|
|
Face Detection (F32)
|
100% |
451
5.19 IPS |
|
|
Face Detection (F16)
|
100% |
460
5.28 IPS |
|
|
Face Detection (I8)
|
75% |
420
4.82 IPS |
|
|
Text Classification (F32)
|
100% |
337
133.3 IPS |
|
|
Text Classification (F16)
|
100% |
338
133.7 IPS |
|
|
Machine Translation (F32)
|
100% |
461
71.0 IPS |
|
|
Machine Translation (F16)
|
100% |
464
71.5 IPS |
