realme RMX3312
Geekbench ML Score
342
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 09:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | realme RMX3312 |
| Model ID | realme RMX3312 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.11 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
68
7.29 IPS |
|
|
Image Classification (F16)
|
100% |
66
7.03 IPS |
|
|
Image Classification (I8)
|
81% |
204
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
635
3.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
622
3.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
932
5.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
256
1.03 IPS |
|
|
Pose Estimation (I8)
|
80% |
239
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
447
15.7 IPS |
|
|
Object Detection (F16)
|
100% |
456
16.0 IPS |
|
|
Object Detection (I8)
|
52% |
322
11.3 IPS |
|
|
Face Detection (F32)
|
100% |
636
7.31 IPS |
|
|
Face Detection (F16)
|
100% |
603
6.93 IPS |
|
|
Face Detection (I8)
|
75% |
432
4.96 IPS |
|
|
Text Classification (F32)
|
100% |
239
94.6 IPS |
|
|
Text Classification (F16)
|
100% |
213
84.4 IPS |
|
|
Machine Translation (F32)
|
100% |
689
106.1 IPS |
|
|
Machine Translation (F16)
|
100% |
688
106.0 IPS |
