realme RMX5061
Geekbench AI Score
1847
Single Precision Score
1842
Half Precision Score
2577
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 05:30 PM |
| Views | 3 |
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 | 11.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1289
239.7 IPS |
|
|
Image Classification (HP)
|
100% |
1239
230.5 IPS |
|
|
Image Classification (Q)
|
100% |
1876
348.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1986
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2478
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2466
2.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
4978
5.90 IPS |
|
|
Object Detection (SP)
|
98% |
1272
101.2 IPS |
|
|
Object Detection (HP)
|
98% |
1307
104.0 IPS |
|
|
Object Detection (Q)
|
83% |
1711
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
2785
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (Q)
|
95% |
4097
48.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2883
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2855
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4257
39.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6202
8.05 IPS |
|
|
Style Transfer (HP)
|
89% |
6209
8.06 IPS |
|
|
Style Transfer (Q)
|
98% |
11050
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2734
101.3 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.7 IPS |
|
|
Text Classification (HP)
|
99% |
616
821.6 IPS |
|
|
Text Classification (Q)
|
88% |
1119
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (Q)
|
50% |
692
24.5 IPS |
