realme RMX5051
Geekbench AI Score
505
Single Precision Score
896
Half Precision Score
717
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 06:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5051 |
| Model ID | realme RMX5051 |
| 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 @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
380
70.7 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.6 IPS |
|
|
Image Classification (Q)
|
100% |
569
105.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
798
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (HP)
|
99% |
3781
4.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
3699
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (HP)
|
99% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
85% |
497
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
973
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
1761
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1386
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1194
9.20 IPS |
|
|
Depth Estimation (HP)
|
98% |
2693
20.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
2046
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2201
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
5665
7.28 IPS |
|
|
Style Transfer (Q)
|
98% |
5538
7.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
35% |
20
196.5 IPS |
|
|
Text Classification (HP)
|
35% |
32
286.9 IPS |
|
|
Text Classification (Q)
|
33% |
25
275.2 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
48% |
118
4.55 IPS |
