realme RMX5210
Geekbench AI Score
503
Single Precision Score
492
Half Precision Score
1135
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 02:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
306
57.0 IPS |
|
|
Image Classification (Q)
|
99% |
898
167.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
490
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
477
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1901
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
87% |
812
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (HP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (Q)
|
97% |
1727
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
639
4.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1485
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1110
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1110
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2990
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1126
41.7 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.4 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.8 IPS |
|
|
Text Classification (Q)
|
91% |
657
883.2 IPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
57% |
545
13.3 IPS |
