realme RMX5210
Geekbench AI Score
3051
Single Precision Score
4784
Half Precision Score
3984
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sebeg_the_tea_boii |
| Upload Date | November 16 2025 10:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | realme RMX5210 |
| Model ID | realme RMX5210 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3386
629.8 IPS |
|
|
Image Classification (Q)
|
100% |
3202
595.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4028
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7261
117.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7160
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14277
16.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
26212
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25743
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
99% |
2533
200.9 IPS |
|
|
Object Detection (Q)
|
85% |
2401
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
6359
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
10965
130.3 IPS |
|
|
Face Detection (Q)
|
97% |
9553
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7536
58.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10247
79.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
7899
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18021
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38305
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38095
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5542
204.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5413
200.6 IPS |
|
|
Text Classification (SP)
|
35% |
81
793.6 IPS |
|
|
Text Classification (HP)
|
35% |
89
808.5 IPS |
|
|
Text Classification (Q)
|
33% |
62
689.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1814
31.2 IPS |
|
|
Machine Translation (Q)
|
48% |
737
28.3 IPS |
