| Upload Date | July 16 2022 05:28 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | realme RMX3363 |
| Model ID | realme RMX3363 |
| 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 | 5.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
511
54.8 IPS |
|
|
Image Classification (F16)
|
100% |
896
96.0 IPS |
|
|
Image Classification (I8)
|
79% |
2892
309.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1121
6.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
1843
11.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
328
2.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
261
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
910
3.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
10002
40.5 IPS |
|
|
Object Detection (F32)
|
100% |
532
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
675
23.7 IPS |
|
|
Object Detection (I8)
|
56% |
1146
40.2 IPS |
|
|
Face Detection (F32)
|
100% |
800
9.19 IPS |
|
|
Face Detection (F16)
|
97% |
1272
14.6 IPS |
|
|
Face Detection (I8)
|
76% |
13472
154.8 IPS |
|
|
Text Classification (F32)
|
100% |
9
3.54 IPS |
|
|
Text Classification (F16)
|
100% |
170
67.1 IPS |
|
|
Machine Translation (F32)
|
100% |
414
63.8 IPS |
|
|
Machine Translation (F16)
|
100% |
415
64.0 IPS |
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