realme RMX5011
Geekbench AI Score
2041
Single Precision Score
1843
Half Precision Score
2487
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 02:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (Q)
|
100% |
1806
335.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1490
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3193
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2977
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
9794
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1024
81.5 IPS |
|
|
Object Detection (HP)
|
98% |
1250
99.5 IPS |
|
|
Object Detection (Q)
|
83% |
1844
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3361
39.9 IPS |
|
|
Face Detection (Q)
|
95% |
5696
68.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3673
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3761
29.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6061
55.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9635
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9767
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19541
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3193
118.3 IPS |
|
|
Text Classification (SP)
|
100% |
858
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
526
702.1 IPS |
|
|
Text Classification (Q)
|
88% |
357
481.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (Q)
|
50% |
243
8.62 IPS |
