realme RMX5061
Geekbench AI Score
1842
Single Precision Score
1820
Half Precision Score
2582
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 05:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5061 |
| Model ID | realme RMX5061 |
| Motherboard | k6989v2_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
1229
228.6 IPS |
|
|
Image Classification (Q)
|
100% |
1850
344.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1985
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2575
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2570
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
4953
5.87 IPS |
|
|
Object Detection (SP)
|
98% |
1332
106.0 IPS |
|
|
Object Detection (HP)
|
98% |
1235
98.2 IPS |
|
|
Object Detection (Q)
|
83% |
1707
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (Q)
|
95% |
4077
48.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2923
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2927
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4234
38.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6201
8.05 IPS |
|
|
Style Transfer (HP)
|
89% |
6110
7.93 IPS |
|
|
Style Transfer (Q)
|
98% |
11107
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2716
100.6 IPS |
|
|
Text Classification (SP)
|
100% |
600
801.1 IPS |
|
|
Text Classification (HP)
|
99% |
597
796.6 IPS |
|
|
Text Classification (Q)
|
88% |
1110
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (Q)
|
50% |
735
26.1 IPS |
