realme RMX3636
Geekbench AI Score
415
Single Precision Score
414
Half Precision Score
726
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 11:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3636 |
| Model ID | realme RMX3636 |
| Motherboard | k6789v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
100% |
498
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
574
9.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
882
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
931
1.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
1286
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
485
39.2 IPS |
|
|
Face Detection (SP)
|
100% |
630
7.49 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.47 IPS |
|
|
Face Detection (Q)
|
95% |
1151
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
815
6.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
780
6.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1164
10.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1579
2.05 IPS |
|
|
Style Transfer (HP)
|
89% |
1517
1.97 IPS |
|
|
Style Transfer (Q)
|
98% |
2958
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
690
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.4 IPS |
|
|
Text Classification (HP)
|
100% |
197
262.9 IPS |
|
|
Text Classification (Q)
|
88% |
340
458.7 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.38 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
50% |
247
8.75 IPS |
