realme RMX3370
Geekbench ML Score
417
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 08:44 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | realme RMX3370 |
| Model ID | realme RMX3370 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
404
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
410
43.9 IPS |
|
|
Image Classification (I8)
|
81% |
194
20.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
651
4.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
661
4.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
800
4.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
272
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
272
1.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
421
14.8 IPS |
|
|
Object Detection (F16)
|
100% |
416
14.6 IPS |
|
|
Object Detection (I8)
|
52% |
278
9.75 IPS |
|
|
Face Detection (F32)
|
100% |
620
7.13 IPS |
|
|
Face Detection (F16)
|
100% |
616
7.08 IPS |
|
|
Face Detection (I8)
|
75% |
480
5.52 IPS |
|
|
Text Classification (F32)
|
100% |
321
127.1 IPS |
|
|
Text Classification (F16)
|
100% |
323
127.7 IPS |
|
|
Machine Translation (F32)
|
100% |
592
91.3 IPS |
|
|
Machine Translation (F16)
|
100% |
592
91.2 IPS |
