realme RMX5061
Geekbench AI Score
1231
Single Precision Score
5224
Half Precision Score
4902
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 18 2026 11:57 AM |
| Views | 7 |
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% |
1209
224.8 IPS |
|
|
Image Classification (HP)
|
100% |
4651
864.9 IPS |
|
|
Image Classification (Q)
|
99% |
9053
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4464
72.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1850
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9021
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18408
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
74977
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (HP)
|
100% |
4752
377.0 IPS |
|
|
Object Detection (Q)
|
86% |
5711
459.4 IPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
12314
146.3 IPS |
|
|
Face Detection (Q)
|
97% |
11663
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
970
7.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
19341
149.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
33554
318.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2617
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
690
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
407
6.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3047
112.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10903
402.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7983
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
133
177.7 IPS |
|
|
Text Classification (HP)
|
97% |
2100
2.81 KIPS |
|
|
Text Classification (Q)
|
73% |
2007
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (HP)
|
100% |
2218
38.2 IPS |
|
|
Machine Translation (Q)
|
60% |
438
9.87 IPS |
