realme RMX5051
Geekbench AI Score
1075
Single Precision Score
1090
Half Precision Score
2226
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 05 2025 07:12 PM |
| Views | 4 |
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 | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
839
156.1 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.2 IPS |
|
|
Image Classification (Q)
|
100% |
1526
283.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1741
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1814
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1798
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
4673
5.54 IPS |
|
|
Object Detection (SP)
|
98% |
809
64.4 IPS |
|
|
Object Detection (HP)
|
98% |
803
63.9 IPS |
|
|
Object Detection (Q)
|
83% |
1475
119.1 IPS |
|
|
Face Detection (SP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
3592
42.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1515
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1583
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3866
35.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4173
5.42 IPS |
|
|
Style Transfer (HP)
|
89% |
4116
5.34 IPS |
|
|
Style Transfer (Q)
|
98% |
10205
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
744
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
757
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2524
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.1 IPS |
|
|
Text Classification (HP)
|
99% |
467
623.8 IPS |
|
|
Text Classification (Q)
|
88% |
932
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
490
17.4 IPS |
