realme RMX5200
Geekbench AI Score
320
Single Precision Score
30063
Half Precision Score
74175
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | March 07 2026 01:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | realme RMX5200 |
| Model ID | realme RMX5200 |
| 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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
21743
4.04 KIPS |
|
|
Image Classification (Q)
|
96% |
47419
8.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
246
4.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
15806
256.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
56341
916.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
296
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
160711
187.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
619692
725.3 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
21893
1.74 KIPS |
|
|
Object Detection (Q)
|
85% |
28818
2.32 KIPS |
|
|
Face Detection (SP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (HP)
|
100% |
43742
519.7 IPS |
|
|
Face Detection (Q)
|
97% |
131035
1.56 KIPS |
|
|
Depth Estimation (SP)
|
100% |
437
3.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
88486
681.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
184797
1.72 KIPS |
|
|
Style Transfer (SP)
|
100% |
788
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
97535
125.4 IPS |
|
|
Style Transfer (Q)
|
98% |
582691
751.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
218
8.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54623
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
168641
6.25 KIPS |
|
|
Text Classification (SP)
|
100% |
269
359.2 IPS |
|
|
Text Classification (HP)
|
100% |
4277
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
11034
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (HP)
|
100% |
5656
97.4 IPS |
|
|
Machine Translation (Q)
|
56% |
4025
103.7 IPS |
