realme RMX5061
Geekbench AI Score
1238
Single Precision Score
5220
Half Precision Score
4957
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 10:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1224
227.6 IPS |
|
|
Image Classification (HP)
|
100% |
4672
868.8 IPS |
|
|
Image Classification (Q)
|
99% |
9407
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4347
70.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1860
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8841
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18427
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
75195
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.7 IPS |
|
|
Object Detection (HP)
|
100% |
4838
383.7 IPS |
|
|
Object Detection (Q)
|
86% |
5893
474.0 IPS |
|
|
Face Detection (SP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
12357
146.8 IPS |
|
|
Face Detection (Q)
|
97% |
11387
135.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
971
7.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
19587
150.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
33124
314.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2618
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
636
0.82 IPS |
|
|
Style Transfer (Q)
|
30% |
408
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3036
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10967
405.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8231
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
141
188.0 IPS |
|
|
Text Classification (HP)
|
97% |
2191
2.93 KIPS |
|
|
Text Classification (Q)
|
73% |
2085
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
2244
38.7 IPS |
|
|
Machine Translation (Q)
|
60% |
438
9.86 IPS |
