realme RMX5070
Geekbench AI Score
1094
Single Precision Score
1099
Half Precision Score
1965
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 09:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5070 |
| Model ID | realme RMX5070 |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
860
159.9 IPS |
|
|
Image Classification (HP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (Q)
|
100% |
1478
274.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1970
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1888
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
5202
6.17 IPS |
|
|
Object Detection (SP)
|
98% |
752
59.8 IPS |
|
|
Object Detection (HP)
|
98% |
764
60.8 IPS |
|
|
Object Detection (Q)
|
83% |
1194
96.4 IPS |
|
|
Face Detection (SP)
|
100% |
1158
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
3244
38.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1523
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1629
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3785
34.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4218
5.48 IPS |
|
|
Style Transfer (HP)
|
89% |
4438
5.76 IPS |
|
|
Style Transfer (Q)
|
98% |
11116
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
692
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
681
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1968
72.9 IPS |
|
|
Text Classification (SP)
|
100% |
533
712.0 IPS |
|
|
Text Classification (HP)
|
99% |
508
677.6 IPS |
|
|
Text Classification (Q)
|
88% |
575
775.9 IPS |
|
|
Machine Translation (SP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
50% |
308
10.9 IPS |
