realme RMX3311
Geekbench AI Score
810
Single Precision Score
809
Half Precision Score
1343
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 11:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3311 |
| Model ID | realme RMX3311 |
| Motherboard | lahaina |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
455
84.7 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
100% |
1332
247.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
573
9.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1556
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2164
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2155
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
3278
3.89 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
83% |
1303
105.3 IPS |
|
|
Face Detection (SP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (Q)
|
95% |
3249
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1958
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3096
28.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3591
4.66 IPS |
|
|
Style Transfer (HP)
|
89% |
3559
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
7519
9.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
640
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.4 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.6 IPS |
|
|
Text Classification (Q)
|
88% |
277
373.9 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.76 IPS |
