realme RMP2402
Geekbench AI Score
154
Single Precision Score
211
Half Precision Score
205
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | FrankenStryker |
| Upload Date | March 24 2025 12:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
102
19.0 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
127
2.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
203
3.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
119
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
118
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
83
6.58 IPS |
|
|
Object Detection (HP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (Q)
|
83% |
122
9.91 IPS |
|
|
Face Detection (SP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.26 IPS |
|
|
Face Detection (Q)
|
97% |
337
4.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
190
1.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.93 IPS |
|
|
Depth Estimation (Q)
|
62% |
202
1.91 IPS |
|
|
Style Transfer (SP)
|
100% |
385
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
536
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
534
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
98
3.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
149
5.53 IPS |
|
|
Text Classification (SP)
|
100% |
156
207.7 IPS |
|
|
Text Classification (HP)
|
100% |
156
208.3 IPS |
|
|
Text Classification (Q)
|
91% |
250
335.8 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
57% |
198
4.85 IPS |
