realme RMX5011
Geekbench AI Score
1095
Single Precision Score
1582
Half Precision Score
1517
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 01 2024 10:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX5011 |
| Model ID | realme RMX5011 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
649
120.7 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.4 IPS |
|
|
Image Classification (Q)
|
99% |
679
126.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1169
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1564
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2450
2.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
2453
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (Q)
|
86% |
967
77.7 IPS |
|
|
Face Detection (SP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (Q)
|
97% |
2490
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1518
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4275
33.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3564
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5769
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
12459
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12223
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
641
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1927
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.0 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.7 IPS |
|
|
Text Classification (Q)
|
91% |
617
829.0 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.53 IPS |
