realme RMX5200
Geekbench AI Score
2834
Single Precision Score
4285
Half Precision Score
3682
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 03:22 PM |
| Views | 4 |
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% |
1669
310.4 IPS |
|
|
Image Classification (HP)
|
100% |
2370
440.8 IPS |
|
|
Image Classification (Q)
|
100% |
2555
475.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3593
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5926
96.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6030
98.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14010
16.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
25174
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24762
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
2045
162.2 IPS |
|
|
Object Detection (Q)
|
85% |
1997
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
5641
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
9962
118.4 IPS |
|
|
Face Detection (Q)
|
97% |
8792
104.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7290
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9778
75.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
7706
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17551
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37648
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37411
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5580
206.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5436
201.5 IPS |
|
|
Text Classification (SP)
|
35% |
77
745.7 IPS |
|
|
Text Classification (HP)
|
35% |
77
699.4 IPS |
|
|
Text Classification (Q)
|
33% |
61
687.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (Q)
|
48% |
717
27.5 IPS |
