realme RMX5070
Geekbench AI Score
998
Single Precision Score
1011
Half Precision Score
1618
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 04:38 PM |
| 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 | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
833
154.8 IPS |
|
|
Image Classification (HP)
|
100% |
761
141.5 IPS |
|
|
Image Classification (Q)
|
100% |
1527
283.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
833
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1843
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1845
2.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
5159
6.12 IPS |
|
|
Object Detection (SP)
|
98% |
793
63.1 IPS |
|
|
Object Detection (HP)
|
98% |
790
62.9 IPS |
|
|
Object Detection (Q)
|
83% |
1466
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
1700
20.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1273
9.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1279
9.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
4036
37.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4201
5.45 IPS |
|
|
Style Transfer (HP)
|
89% |
4225
5.49 IPS |
|
|
Style Transfer (Q)
|
98% |
11286
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
708
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1138
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.1 IPS |
|
|
Text Classification (HP)
|
99% |
509
679.1 IPS |
|
|
Text Classification (Q)
|
88% |
403
543.4 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
