realme RMX5056
Geekbench AI Score
881
Single Precision Score
873
Half Precision Score
1827
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 15 2025 08:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
100% |
1376
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1651
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1919
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1931
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3741
4.44 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
83% |
1307
105.6 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
3114
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1407
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1416
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3294
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3495
4.54 IPS |
|
|
Style Transfer (HP)
|
89% |
3485
4.52 IPS |
|
|
Style Transfer (Q)
|
98% |
8380
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1838
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
506
675.1 IPS |
|
|
Text Classification (HP)
|
100% |
485
647.8 IPS |
|
|
Text Classification (Q)
|
88% |
645
870.6 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
368
13.1 IPS |
