realme RMX3888
Geekbench ML Score
1043
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 11 2024 01:28 AM |
| Views | 1 |
System Information
| 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 | 14.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
596
111.6 IPS |
|
|
Image Classification (F16)
|
100% |
782
146.2 IPS |
|
|
Image Classification (I8)
|
99% |
495
92.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1113
18.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
916
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1053
1.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
2486
3.01 IPS |
|
|
Pose Estimation (I8)
|
100% |
2503
3.03 IPS |
|
|
Object Detection (F32)
|
100% |
258
19.2 IPS |
|
|
Object Detection (F16)
|
100% |
272
20.3 IPS |
|
|
Object Detection (I8)
|
62% |
255
19.1 IPS |
|
|
Face Detection (F32)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (F16)
|
97% |
3154
37.5 IPS |
|
|
Face Detection (I8)
|
86% |
1670
19.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1842
14.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3754
29.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3723
28.9 IPS |
|
|
Style Transfer (F32)
|
100% |
5262
6.92 IPS |
|
|
Style Transfer (F16)
|
100% |
10708
14.1 IPS |
|
|
Style Transfer (I8)
|
98% |
7834
10.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
420
15.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
996
35.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
647
23.1 IPS |
|
|
Text Classification (F32)
|
100% |
444
637.8 IPS |
|
|
Text Classification (F16)
|
100% |
435
624.6 IPS |
|
|
Text Classification (I8)
|
92% |
670
963.6 IPS |
|
|
Machine Translation (F32)
|
100% |
552
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
284
5.23 IPS |
|
|
Machine Translation (I8)
|
64% |
321
5.90 IPS |
