realme RMX5061
Geekbench AI Score
1220
Single Precision Score
4994
Half Precision Score
4896
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 18 2026 12:38 PM |
| Views | 5 |
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% |
1231
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
4440
825.6 IPS |
|
|
Image Classification (Q)
|
99% |
9170
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4237
68.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1856
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9021
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18633
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75232
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.6 IPS |
|
|
Object Detection (HP)
|
100% |
4739
375.9 IPS |
|
|
Object Detection (Q)
|
86% |
5764
463.7 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
12045
143.1 IPS |
|
|
Face Detection (Q)
|
97% |
11692
139.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
969
7.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
19293
148.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
33374
316.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2563
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (Q)
|
30% |
395
5.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10849
400.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8019
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
129
172.2 IPS |
|
|
Text Classification (HP)
|
97% |
2084
2.79 KIPS |
|
|
Text Classification (Q)
|
73% |
2059
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
385
6.62 IPS |
|
|
Machine Translation (HP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (Q)
|
60% |
422
9.50 IPS |
