realme RMX5210
Geekbench AI Score
2853
Single Precision Score
4260
Half Precision Score
3569
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2025 07:06 PM |
| 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% |
1723
320.5 IPS |
|
|
Image Classification (HP)
|
100% |
2335
434.3 IPS |
|
|
Image Classification (Q)
|
100% |
2239
416.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3523
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6082
98.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6256
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13967
16.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
24914
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24776
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
99% |
2315
183.6 IPS |
|
|
Object Detection (Q)
|
85% |
2110
169.8 IPS |
|
|
Face Detection (SP)
|
100% |
5842
69.4 IPS |
|
|
Face Detection (HP)
|
100% |
10313
122.5 IPS |
|
|
Face Detection (Q)
|
97% |
8385
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7240
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9738
75.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7632
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17607
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37636
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37286
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6197
228.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5475
202.9 IPS |
|
|
Text Classification (SP)
|
35% |
74
723.9 IPS |
|
|
Text Classification (HP)
|
35% |
78
705.7 IPS |
|
|
Text Classification (Q)
|
33% |
62
689.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (Q)
|
48% |
566
21.7 IPS |
