realme RMX3921
Geekbench ML Score
620
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 02 2024 06:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | realme RMX3921 |
| Model ID | realme RMX3921 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
292
54.6 IPS |
|
|
Image Classification (F16)
|
100% |
302
56.5 IPS |
|
|
Image Classification (I8)
|
97% |
756
141.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
359
6.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
361
6.03 IPS |
|
|
Image Segmentation (I8)
|
98% |
558
9.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
513
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
519
0.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
3107
3.76 IPS |
|
|
Object Detection (F32)
|
100% |
332
24.8 IPS |
|
|
Object Detection (F16)
|
100% |
333
24.9 IPS |
|
|
Object Detection (I8)
|
61% |
911
68.0 IPS |
|
|
Face Detection (F32)
|
100% |
548
6.52 IPS |
|
|
Face Detection (F16)
|
100% |
555
6.60 IPS |
|
|
Face Detection (I8)
|
86% |
1634
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
537
4.16 IPS |
|
|
Depth Estimation (F16)
|
100% |
539
4.18 IPS |
|
|
Depth Estimation (I8)
|
95% |
1591
12.3 IPS |
|
|
Style Transfer (F32)
|
100% |
904
1.19 IPS |
|
|
Style Transfer (F16)
|
100% |
899
1.18 IPS |
|
|
Style Transfer (I8)
|
98% |
2628
3.46 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
424
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
430
15.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1446
51.7 IPS |
|
|
Text Classification (F32)
|
100% |
417
598.8 IPS |
|
|
Text Classification (F16)
|
100% |
441
633.4 IPS |
|
|
Text Classification (I8)
|
92% |
449
646.0 IPS |
|
|
Machine Translation (F32)
|
100% |
651
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
646
11.9 IPS |
|
|
Machine Translation (I8)
|
64% |
330
6.07 IPS |
