realme RMX5056
Geekbench AI Score
508
Single Precision Score
805
Half Precision Score
623
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 12:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5056 |
| Model ID | realme RMX5056 |
| Motherboard | RM6878 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (Q)
|
97% |
550
102.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
538
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
889
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3808
4.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
3751
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
99% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
363
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (Q)
|
96% |
1395
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1332
10.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2179
16.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1763
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3583
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
6646
8.54 IPS |
|
|
Style Transfer (Q)
|
98% |
6496
8.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1000
37.1 IPS |
|
|
Text Classification (SP)
|
35% |
12
109.1 IPS |
|
|
Text Classification (HP)
|
35% |
15
136.0 IPS |
|
|
Text Classification (Q)
|
29% |
8
131.3 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
432
7.45 IPS |
|
|
Machine Translation (Q)
|
43% |
105
6.10 IPS |
