realme RMX3311
Geekbench AI Score
320
Single Precision Score
302
Half Precision Score
596
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 15 2026 06:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.7 IPS |
|
|
Image Classification (Q)
|
100% |
466
86.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
502
8.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
649
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
1087
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.9 IPS |
|
|
Object Detection (Q)
|
83% |
508
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
619
7.35 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (Q)
|
95% |
879
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
479
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
502
3.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
1019
9.33 IPS |
|
|
Style Transfer (SP)
|
89% |
1093
1.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1088
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
2630
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
613
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.9 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (Q)
|
88% |
242
326.7 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (Q)
|
50% |
127
4.50 IPS |
