realme RMX5210
Geekbench AI Score
320
Single Precision Score
342
Half Precision Score
678
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2025 09:59 AM |
| Views | 74 |
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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
384
71.5 IPS |
|
|
Image Classification (HP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (Q)
|
99% |
689
128.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
366
5.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
325
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (Q)
|
98% |
880
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (Q)
|
87% |
575
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
349
4.14 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (Q)
|
97% |
799
9.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
338
2.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
500
3.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1097
9.95 IPS |
|
|
Style Transfer (SP)
|
100% |
821
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
686
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
1787
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
154
5.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
250
9.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
865
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.8 IPS |
|
|
Text Classification (HP)
|
100% |
312
417.0 IPS |
|
|
Text Classification (Q)
|
91% |
331
444.7 IPS |
|
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.64 IPS |
|
|
Machine Translation (Q)
|
57% |
359
8.78 IPS |
