realme RMX5011
Geekbench AI Score
1869
Single Precision Score
1877
Half Precision Score
2175
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 12:30 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1139
211.8 IPS |
|
|
Image Classification (HP)
|
100% |
1144
212.8 IPS |
|
|
Image Classification (Q)
|
100% |
2229
414.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2405
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3597
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3695
4.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
8104
9.61 IPS |
|
|
Object Detection (SP)
|
98% |
1011
80.4 IPS |
|
|
Object Detection (HP)
|
98% |
1014
80.7 IPS |
|
|
Object Detection (Q)
|
83% |
1718
138.7 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (Q)
|
95% |
4269
51.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3424
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3469
26.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4549
41.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8201
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8352
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
13015
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2027
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
709
946.5 IPS |
|
|
Text Classification (HP)
|
99% |
699
933.5 IPS |
|
|
Text Classification (Q)
|
88% |
255
343.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
50% |
244
8.65 IPS |
