realme RMX3366
Geekbench AI Score
1037
Single Precision Score
1035
Half Precision Score
1871
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 22 2025 05:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3366 |
| Model ID | realme RMX3366 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
100% |
1376
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
571
9.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1631
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2099
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2082
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
3130
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
491
38.9 IPS |
|
|
Object Detection (HP)
|
100% |
506
40.2 IPS |
|
|
Object Detection (Q)
|
83% |
1293
104.4 IPS |
|
|
Face Detection (SP)
|
100% |
1406
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1428
17.0 IPS |
|
|
Face Detection (Q)
|
95% |
3000
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1875
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1845
14.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2987
27.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3608
4.68 IPS |
|
|
Style Transfer (HP)
|
89% |
3682
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
7240
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1048
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1816
67.3 IPS |
|
|
Text Classification (SP)
|
100% |
548
731.1 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.1 IPS |
|
|
Text Classification (Q)
|
88% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (Q)
|
50% |
533
18.9 IPS |
