realme RMX5061
Geekbench AI Score
1453
Single Precision Score
1988
Half Precision Score
1638
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 18 2026 02:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
622
115.7 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.4 IPS |
|
|
Image Classification (Q)
|
97% |
708
132.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3083
50.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2462
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9728
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16315
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13864
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (HP)
|
99% |
778
61.7 IPS |
|
|
Object Detection (Q)
|
83% |
1083
87.5 IPS |
|
|
Face Detection (SP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
96% |
2835
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4062
31.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10356
80.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
7792
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15258
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32836
42.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28665
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2651
97.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3265
121.0 IPS |
|
|
Text Classification (SP)
|
35% |
27
246.0 IPS |
|
|
Text Classification (HP)
|
29% |
21
366.2 IPS |
|
|
Text Classification (Q)
|
32% |
28
363.2 IPS |
|
|
Machine Translation (SP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (Q)
|
43% |
92
5.34 IPS |
