realme RMX3311
Geekbench AI Score
299
Single Precision Score
299
Half Precision Score
595
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 11:44 PM |
| Views | 2 |
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% |
159
29.6 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
100% |
397
73.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
488
7.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
584
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
582
0.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
1170
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
401
32.4 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
351
4.18 IPS |
|
|
Face Detection (Q)
|
95% |
856
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
493
3.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1033
9.46 IPS |
|
|
Style Transfer (SP)
|
89% |
1093
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1095
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2445
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
640
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.0 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.8 IPS |
|
|
Text Classification (Q)
|
88% |
275
371.2 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.35 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.75 IPS |
