realme RMX3472
Geekbench AI Score
326
Single Precision Score
515
Half Precision Score
485
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | BOISD |
| Upload Date | September 22 2025 05:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3472 |
| Model ID | realme RMX3472 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
99% |
367
68.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
506
8.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1391
1.62 IPS |
|
|
Pose Estimation (HP)
|
99% |
2206
2.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
2179
2.55 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
99% |
296
23.5 IPS |
|
|
Object Detection (Q)
|
85% |
272
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
671
7.97 IPS |
|
|
Face Detection (HP)
|
100% |
1120
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
969
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
791
6.09 IPS |
|
|
Depth Estimation (HP)
|
98% |
1360
10.5 IPS |
|
|
Depth Estimation (Q)
|
65% |
1137
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1770
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3239
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
3108
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
483
17.9 IPS |
|
|
Text Classification (SP)
|
35% |
11
110.7 IPS |
|
|
Text Classification (HP)
|
35% |
19
175.8 IPS |
|
|
Text Classification (Q)
|
35% |
19
172.6 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (HP)
|
97% |
207
3.58 IPS |
|
|
Machine Translation (Q)
|
64% |
209
4.30 IPS |
