realme RMX5051
Geekbench AI Score
922
Single Precision Score
883
Half Precision Score
1474
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 13 2025 11:44 AM |
| Views | 3 |
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% |
839
156.1 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
100% |
819
152.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1782
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
4698
5.57 IPS |
|
|
Object Detection (SP)
|
98% |
771
61.4 IPS |
|
|
Object Detection (HP)
|
98% |
774
61.6 IPS |
|
|
Object Detection (Q)
|
83% |
700
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
3472
41.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1514
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1391
10.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3813
34.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3996
5.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3981
5.17 IPS |
|
|
Style Transfer (Q)
|
98% |
10478
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1183
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.3 IPS |
|
|
Text Classification (HP)
|
99% |
443
591.8 IPS |
|
|
Text Classification (Q)
|
88% |
399
538.1 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
331
11.7 IPS |
