realme RMX3888
Geekbench AI Score
943
Single Precision Score
1337
Half Precision Score
1275
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 12 2024 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3888 |
| Model ID | realme RMX3888 |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
96% |
580
108.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1035
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2556
2.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
2536
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (HP)
|
100% |
993
78.8 IPS |
|
|
Object Detection (Q)
|
87% |
990
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
2444
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
1653
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1828
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3740
28.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
3039
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6722
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
10790
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10546
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1501
55.6 IPS |
|
|
Text Classification (SP)
|
100% |
203
271.6 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.5 IPS |
|
|
Text Classification (Q)
|
91% |
326
437.7 IPS |
|
|
Machine Translation (SP)
|
100% |
357
6.15 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.16 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.13 IPS |
