realme RMX3461
Geekbench ML Score
495
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 19 2024 05:51 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3461 |
| Model ID | realme RMX3461 |
| Motherboard | lahaina |
| 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 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
218
40.8 IPS |
|
|
Image Classification (F16)
|
100% |
235
43.9 IPS |
|
|
Image Classification (I8)
|
97% |
589
110.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
328
5.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
330
5.51 IPS |
|
|
Image Segmentation (I8)
|
98% |
436
7.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
484
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
480
0.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
2535
3.07 IPS |
|
|
Object Detection (F32)
|
100% |
272
20.3 IPS |
|
|
Object Detection (F16)
|
100% |
266
19.8 IPS |
|
|
Object Detection (I8)
|
61% |
720
53.7 IPS |
|
|
Face Detection (F32)
|
100% |
461
5.48 IPS |
|
|
Face Detection (F16)
|
100% |
466
5.54 IPS |
|
|
Face Detection (I8)
|
86% |
1410
16.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
485
3.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
486
3.77 IPS |
|
|
Depth Estimation (I8)
|
95% |
1374
10.7 IPS |
|
|
Style Transfer (F32)
|
100% |
789
1.04 IPS |
|
|
Style Transfer (F16)
|
100% |
798
1.05 IPS |
|
|
Style Transfer (I8)
|
98% |
2229
2.93 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
234
8.36 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
261
9.32 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1113
39.8 IPS |
|
|
Text Classification (F32)
|
100% |
302
434.2 IPS |
|
|
Text Classification (F16)
|
100% |
302
434.5 IPS |
|
|
Text Classification (I8)
|
92% |
262
376.3 IPS |
|
|
Machine Translation (F32)
|
100% |
539
9.92 IPS |
|
|
Machine Translation (F16)
|
100% |
544
10.0 IPS |
|
|
Machine Translation (I8)
|
64% |
250
4.61 IPS |
