realme RMX5061
Geekbench AI Score
1105
Single Precision Score
5250
Half Precision Score
4945
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | July 01 2025 12:20 PM |
| Views | 4 |
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 | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
830
154.3 IPS |
|
|
Image Classification (HP)
|
100% |
4653
865.3 IPS |
|
|
Image Classification (Q)
|
99% |
9278
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4406
71.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1852
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8812
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18633
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75546
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.9 IPS |
|
|
Object Detection (HP)
|
100% |
4879
387.0 IPS |
|
|
Object Detection (Q)
|
86% |
6011
483.5 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
12306
146.2 IPS |
|
|
Face Detection (Q)
|
97% |
11513
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
942
7.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
19486
150.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
33705
320.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2565
3.30 IPS |
|
|
Style Transfer (HP)
|
100% |
698
0.90 IPS |
|
|
Style Transfer (Q)
|
30% |
397
5.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2459
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11001
406.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8209
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
134
178.3 IPS |
|
|
Text Classification (HP)
|
97% |
2135
2.86 KIPS |
|
|
Text Classification (Q)
|
73% |
2088
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (Q)
|
60% |
425
9.58 IPS |
