realme RMX5011
Geekbench AI Score
1051
Single Precision Score
1745
Half Precision Score
1568
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 01:09 PM |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
675
125.5 IPS |
|
|
Image Classification (HP)
|
100% |
999
185.8 IPS |
|
|
Image Classification (Q)
|
99% |
771
143.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1893
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1562
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2440
2.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
2446
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.1 IPS |
|
|
Object Detection (HP)
|
100% |
1114
88.4 IPS |
|
|
Object Detection (Q)
|
86% |
1012
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (Q)
|
97% |
3724
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1527
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4258
32.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3578
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5767
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
12363
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12259
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1952
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1927
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.9 IPS |
|
|
Text Classification (HP)
|
100% |
275
367.6 IPS |
|
|
Text Classification (Q)
|
91% |
424
569.3 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
57% |
187
4.58 IPS |
