realme RMP2402
Geekbench AI Score
503
Single Precision Score
502
Half Precision Score
932
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | FrankenStryker |
| Upload Date | March 24 2025 11:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMP2402 |
| Model ID | realme RMP2402 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (Q)
|
100% |
644
119.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
707
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1084
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1606
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
83% |
628
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
95% |
1458
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
889
6.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
919
7.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1462
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1831
2.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1831
2.38 IPS |
|
|
Style Transfer (Q)
|
98% |
3683
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.1 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.1 IPS |
|
|
Text Classification (Q)
|
88% |
470
634.4 IPS |
|
|
Machine Translation (SP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
