realme RMX5061
Geekbench AI Score
1222
Single Precision Score
5212
Half Precision Score
4883
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 19 2025 12:08 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% |
1218
226.6 IPS |
|
|
Image Classification (HP)
|
100% |
4574
850.7 IPS |
|
|
Image Classification (Q)
|
99% |
9266
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1856
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8971
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18313
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75025
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
4801
380.8 IPS |
|
|
Object Detection (Q)
|
86% |
5768
464.0 IPS |
|
|
Face Detection (SP)
|
100% |
3567
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
12222
145.2 IPS |
|
|
Face Detection (Q)
|
97% |
11478
136.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
933
7.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
19496
150.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
32932
312.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2546
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (Q)
|
30% |
394
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3010
111.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10851
400.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8022
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
135
180.1 IPS |
|
|
Text Classification (HP)
|
97% |
2128
2.85 KIPS |
|
|
Text Classification (Q)
|
73% |
2035
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (HP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (Q)
|
60% |
426
9.58 IPS |
