realme RMX3851
Geekbench ML Score
854
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 18 2024 05:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3851 |
| Model ID | realme RMX3851 |
| 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 | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
385
72.1 IPS |
|
|
Image Classification (F16)
|
100% |
384
71.9 IPS |
|
|
Image Classification (I8)
|
97% |
686
128.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
473
7.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
518
8.66 IPS |
|
|
Image Segmentation (I8)
|
98% |
531
8.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
1002
1.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
1000
1.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
4358
5.28 IPS |
|
|
Object Detection (F32)
|
100% |
440
32.9 IPS |
|
|
Object Detection (F16)
|
100% |
209
15.6 IPS |
|
|
Object Detection (I8)
|
61% |
916
68.4 IPS |
|
|
Face Detection (F32)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (I8)
|
86% |
1705
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1032
8.00 IPS |
|
|
Depth Estimation (F16)
|
100% |
1038
8.05 IPS |
|
|
Depth Estimation (I8)
|
95% |
1858
14.4 IPS |
|
|
Style Transfer (F32)
|
100% |
1986
2.61 IPS |
|
|
Style Transfer (F16)
|
100% |
1982
2.61 IPS |
|
|
Style Transfer (I8)
|
98% |
4589
6.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
661
23.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
682
24.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1704
60.9 IPS |
|
|
Text Classification (F32)
|
100% |
495
711.1 IPS |
|
|
Text Classification (F16)
|
100% |
464
667.3 IPS |
|
|
Text Classification (I8)
|
92% |
405
582.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1053
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1010
18.6 IPS |
|
|
Machine Translation (I8)
|
64% |
378
6.97 IPS |
