realme RMX5011
Geekbench AI Score
2162
Single Precision Score
2165
Half Precision Score
3316
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 07:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5011 |
| Model ID | realme RMX5011 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
1602
297.9 IPS |
|
|
Image Classification (Q)
|
100% |
3300
613.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3970
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4514
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3911
4.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
11263
13.4 IPS |
|
|
Object Detection (SP)
|
98% |
1224
97.4 IPS |
|
|
Object Detection (HP)
|
98% |
1218
96.9 IPS |
|
|
Object Detection (Q)
|
83% |
2813
227.3 IPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (Q)
|
95% |
6575
78.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3463
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3467
26.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7037
64.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8484
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8710
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16939
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3137
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
647
863.2 IPS |
|
|
Text Classification (HP)
|
99% |
724
966.7 IPS |
|
|
Text Classification (Q)
|
88% |
359
483.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
439
15.6 IPS |
