realme RMX5011
Geekbench AI Score
1931
Single Precision Score
1914
Half Precision Score
2146
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 01:03 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% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
1219
226.8 IPS |
|
|
Image Classification (Q)
|
100% |
1401
260.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2679
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3617
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3637
4.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
8394
9.95 IPS |
|
|
Object Detection (SP)
|
98% |
1046
83.3 IPS |
|
|
Object Detection (HP)
|
98% |
1059
84.3 IPS |
|
|
Object Detection (Q)
|
83% |
1709
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2942
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (Q)
|
95% |
4293
51.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3406
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3392
26.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4580
41.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8318
10.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8276
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13654
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1304
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2073
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.8 IPS |
|
|
Text Classification (HP)
|
99% |
694
926.2 IPS |
|
|
Text Classification (Q)
|
88% |
268
361.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
259
9.19 IPS |
