realme RMX5010
Geekbench ML Score
1596
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 09:35 AM |
| Views | 4 |
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% |
895
167.5 IPS |
|
|
Image Classification (F16)
|
100% |
992
185.7 IPS |
|
|
Image Classification (I8)
|
97% |
1400
262.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1326
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1322
22.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1307
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
1840
2.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
1832
2.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
8576
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
873
65.2 IPS |
|
|
Object Detection (F16)
|
100% |
1132
84.5 IPS |
|
|
Object Detection (I8)
|
61% |
2026
151.2 IPS |
|
|
Face Detection (F32)
|
100% |
2009
23.9 IPS |
|
|
Face Detection (F16)
|
100% |
2006
23.9 IPS |
|
|
Face Detection (I8)
|
86% |
3631
43.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1917
14.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
1936
15.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
4365
33.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3093
4.07 IPS |
|
|
Style Transfer (F16)
|
100% |
3089
4.06 IPS |
|
|
Style Transfer (I8)
|
98% |
7896
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1179
42.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1249
44.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3646
130.2 IPS |
|
|
Text Classification (F32)
|
100% |
394
566.0 IPS |
|
|
Text Classification (F16)
|
100% |
417
599.8 IPS |
|
|
Text Classification (I8)
|
92% |
726
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
906
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
923
17.0 IPS |
|
|
Machine Translation (I8)
|
64% |
788
14.5 IPS |
