realme RMX5061
Geekbench AI Score
1482
Single Precision Score
2074
Half Precision Score
1821
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | virgiliobaptistella |
| Upload Date | January 18 2026 02:27 AM |
| Views | 5 |
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% |
648
120.5 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.6 IPS |
|
|
Image Classification (Q)
|
97% |
690
128.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2239
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3246
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11765
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15445
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17177
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
521
41.3 IPS |
|
|
Object Detection (HP)
|
99% |
1342
106.4 IPS |
|
|
Object Detection (Q)
|
83% |
1280
103.4 IPS |
|
|
Face Detection (SP)
|
100% |
3404
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (Q)
|
96% |
2946
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4075
31.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8898
68.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
7448
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14848
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32467
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28982
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2551
94.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3457
128.1 IPS |
|
|
Text Classification (SP)
|
35% |
31
284.8 IPS |
|
|
Text Classification (HP)
|
29% |
22
376.1 IPS |
|
|
Text Classification (Q)
|
32% |
28
366.9 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
43% |
133
7.72 IPS |
