realme RMX5051
Geekbench AI Score
849
Single Precision Score
792
Half Precision Score
1467
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 07:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5051 |
| Model ID | realme RMX5051 |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
738
137.3 IPS |
|
|
Image Classification (HP)
|
100% |
810
150.7 IPS |
|
|
Image Classification (Q)
|
100% |
1459
271.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1933
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1817
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1776
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
4918
5.83 IPS |
|
|
Object Detection (SP)
|
98% |
791
62.9 IPS |
|
|
Object Detection (HP)
|
98% |
388
30.8 IPS |
|
|
Object Detection (Q)
|
83% |
802
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
1166
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (Q)
|
95% |
1711
20.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
799
6.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
1286
9.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
1960
18.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2270
2.95 IPS |
|
|
Style Transfer (HP)
|
89% |
2271
2.95 IPS |
|
|
Style Transfer (Q)
|
98% |
4772
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
700
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1151
42.7 IPS |
|
|
Text Classification (SP)
|
100% |
272
362.7 IPS |
|
|
Text Classification (HP)
|
99% |
469
626.4 IPS |
|
|
Text Classification (Q)
|
88% |
679
916.3 IPS |
|
|
Machine Translation (SP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
50% |
334
11.8 IPS |
