realme RMX5061
Geekbench AI Score
1240
Single Precision Score
5049
Half Precision Score
4889
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 18 2026 12:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 15.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1219
226.7 IPS |
|
|
Image Classification (HP)
|
100% |
4450
827.5 IPS |
|
|
Image Classification (Q)
|
99% |
9066
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4389
71.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1853
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9101
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18502
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
75083
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
100% |
4725
374.8 IPS |
|
|
Object Detection (Q)
|
86% |
5699
458.4 IPS |
|
|
Face Detection (SP)
|
100% |
3595
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
12204
145.0 IPS |
|
|
Face Detection (Q)
|
97% |
11655
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
972
7.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
19152
147.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
33346
316.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2628
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
539
0.69 IPS |
|
|
Style Transfer (Q)
|
30% |
407
6.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3051
112.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10919
403.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7921
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
134
178.5 IPS |
|
|
Text Classification (HP)
|
97% |
2108
2.82 KIPS |
|
|
Text Classification (Q)
|
73% |
2013
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (Q)
|
60% |
431
9.70 IPS |
