realme RMX3851
Geekbench AI Score
1509
Single Precision Score
1226
Half Precision Score
2287
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 02:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | realme RMX3851 |
| Model ID | realme RMX3851 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 14.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
1446
268.9 IPS |
|
|
Image Classification (Q)
|
100% |
1039
193.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2586
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3064
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
6418
7.61 IPS |
|
|
Object Detection (SP)
|
98% |
1192
94.8 IPS |
|
|
Object Detection (HP)
|
98% |
529
42.1 IPS |
|
|
Object Detection (Q)
|
83% |
1635
132.0 IPS |
|
|
Face Detection (SP)
|
100% |
2533
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
95% |
4018
48.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2445
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2646
20.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4135
37.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6888
8.94 IPS |
|
|
Style Transfer (HP)
|
90% |
2117
2.74 IPS |
|
|
Style Transfer (Q)
|
98% |
12719
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1074
39.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2563
95.0 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.5 IPS |
|
|
Text Classification (HP)
|
99% |
257
343.0 IPS |
|
|
Text Classification (Q)
|
88% |
630
849.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
408
14.5 IPS |
