realme RMX5101
Geekbench AI Score
1230
Single Precision Score
1225
Half Precision Score
2264
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 04 2025 12:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5101 |
| Model ID | realme RMX5101 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 3 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1028
191.1 IPS |
|
|
Image Classification (HP)
|
100% |
1060
197.1 IPS |
|
|
Image Classification (Q)
|
100% |
1699
316.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2346
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2176
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2160
2.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
5909
7.01 IPS |
|
|
Object Detection (SP)
|
98% |
925
73.6 IPS |
|
|
Object Detection (HP)
|
98% |
929
74.0 IPS |
|
|
Object Detection (Q)
|
83% |
1462
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
4104
49.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1658
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1642
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4149
38.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4934
6.41 IPS |
|
|
Style Transfer (HP)
|
89% |
4961
6.44 IPS |
|
|
Style Transfer (Q)
|
98% |
12549
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
865
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2459
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.7 IPS |
|
|
Text Classification (HP)
|
99% |
593
791.0 IPS |
|
|
Text Classification (Q)
|
88% |
676
912.2 IPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
50% |
290
10.3 IPS |
