realme RMX5200
Geekbench AI Score
509
Single Precision Score
511
Half Precision Score
1202
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 01:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 10.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (HP)
|
100% |
304
56.5 IPS |
|
|
Image Classification (Q)
|
99% |
858
160.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
813
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
488
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
476
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1921
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
87% |
959
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (HP)
|
100% |
801
9.52 IPS |
|
|
Face Detection (Q)
|
97% |
2038
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
643
4.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
612
4.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1495
13.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1134
1.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1138
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3059
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
348
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1230
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
483
644.7 IPS |
|
|
Text Classification (HP)
|
100% |
484
646.0 IPS |
|
|
Text Classification (Q)
|
91% |
777
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
57% |
551
13.5 IPS |
