realme RMX5200
Geekbench AI Score
2984
Single Precision Score
4702
Half Precision Score
3949
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 01:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1851
344.2 IPS |
|
|
Image Classification (HP)
|
100% |
2784
517.7 IPS |
|
|
Image Classification (Q)
|
100% |
2796
520.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3578
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6993
113.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6415
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13841
16.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
24987
29.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24784
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
1734
137.6 IPS |
|
|
Object Detection (HP)
|
99% |
2355
186.8 IPS |
|
|
Object Detection (Q)
|
85% |
2240
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
5730
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
10458
124.3 IPS |
|
|
Face Detection (Q)
|
97% |
8943
106.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7349
56.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9764
75.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
7667
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17191
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38423
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39299
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6529
241.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6179
229.0 IPS |
|
|
Text Classification (SP)
|
35% |
98
958.0 IPS |
|
|
Text Classification (HP)
|
35% |
102
928.4 IPS |
|
|
Text Classification (Q)
|
33% |
81
904.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (Q)
|
48% |
687
26.4 IPS |
