realme RMX5210
Geekbench AI Score
2873
Single Precision Score
4379
Half Precision Score
3767
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 10:40 AM |
| Views | 1 |
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% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
2353
437.6 IPS |
|
|
Image Classification (Q)
|
100% |
2211
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3502
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6000
97.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5475
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13976
16.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
24918
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24793
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
99% |
2282
181.0 IPS |
|
|
Object Detection (Q)
|
85% |
2195
176.7 IPS |
|
|
Face Detection (SP)
|
100% |
6207
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
10615
126.1 IPS |
|
|
Face Detection (Q)
|
97% |
9465
112.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7296
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9960
77.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
7822
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17665
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37422
48.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37610
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5816
214.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5435
201.4 IPS |
|
|
Text Classification (SP)
|
35% |
76
739.3 IPS |
|
|
Text Classification (HP)
|
35% |
76
692.1 IPS |
|
|
Text Classification (Q)
|
33% |
81
911.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (Q)
|
48% |
714
27.4 IPS |
