realme RMX3853
Geekbench ML Score
911
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 07:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3853 |
| Model ID | realme RMX3853 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.15 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
429
80.3 IPS |
|
|
Image Classification (F16)
|
100% |
429
80.3 IPS |
|
|
Image Classification (I8)
|
97% |
742
138.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
568
9.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
569
9.51 IPS |
|
|
Image Segmentation (I8)
|
98% |
565
9.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
1023
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
988
1.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
4571
5.54 IPS |
|
|
Object Detection (F32)
|
100% |
443
33.0 IPS |
|
|
Object Detection (F16)
|
100% |
471
35.1 IPS |
|
|
Object Detection (I8)
|
61% |
947
70.7 IPS |
|
|
Face Detection (F32)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (F16)
|
100% |
1056
12.6 IPS |
|
|
Face Detection (I8)
|
86% |
1740
20.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1052
8.16 IPS |
|
|
Depth Estimation (F16)
|
100% |
1026
7.96 IPS |
|
|
Depth Estimation (I8)
|
95% |
1859
14.4 IPS |
|
|
Style Transfer (F32)
|
100% |
2026
2.67 IPS |
|
|
Style Transfer (F16)
|
100% |
1886
2.48 IPS |
|
|
Style Transfer (I8)
|
98% |
4752
6.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
693
24.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
675
24.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1646
58.8 IPS |
|
|
Text Classification (F32)
|
100% |
535
769.1 IPS |
|
|
Text Classification (F16)
|
100% |
528
759.4 IPS |
|
|
Text Classification (I8)
|
92% |
394
566.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1133
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1086
20.0 IPS |
|
|
Machine Translation (I8)
|
64% |
361
6.64 IPS |
