realme RMX5010
Geekbench ML Score
1462
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 11:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5010 |
| Model ID | realme RMX5010 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
879
164.5 IPS |
|
|
Image Classification (F16)
|
100% |
1021
191.1 IPS |
|
|
Image Classification (I8)
|
97% |
1061
198.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1323
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1266
21.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1046
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1801
2.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
1802
2.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
6433
7.79 IPS |
|
|
Object Detection (F32)
|
100% |
966
72.1 IPS |
|
|
Object Detection (F16)
|
100% |
974
72.7 IPS |
|
|
Object Detection (I8)
|
61% |
1863
139.1 IPS |
|
|
Face Detection (F32)
|
100% |
1910
22.7 IPS |
|
|
Face Detection (F16)
|
100% |
1906
22.7 IPS |
|
|
Face Detection (I8)
|
86% |
3478
41.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1883
14.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1933
15.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3502
27.2 IPS |
|
|
Style Transfer (F32)
|
100% |
2673
3.52 IPS |
|
|
Style Transfer (F16)
|
100% |
2930
3.85 IPS |
|
|
Style Transfer (I8)
|
98% |
7840
10.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1167
41.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
982
35.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3049
108.9 IPS |
|
|
Text Classification (F32)
|
100% |
324
466.2 IPS |
|
|
Text Classification (F16)
|
100% |
324
466.1 IPS |
|
|
Text Classification (I8)
|
92% |
636
914.6 IPS |
|
|
Machine Translation (F32)
|
100% |
960
17.7 IPS |
|
|
Machine Translation (F16)
|
100% |
942
17.3 IPS |
|
|
Machine Translation (I8)
|
64% |
708
13.0 IPS |
