| Upload Date | December 08 2022 05:19 AM |
| 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 | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
315
33.7 IPS |
|
|
Image Classification (F16)
|
100% |
289
31.0 IPS |
|
|
Image Classification (I8)
|
81% |
207
22.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
544
3.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
552
3.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
826
5.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
211
0.86 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
377
13.2 IPS |
|
|
Object Detection (F16)
|
100% |
336
11.8 IPS |
|
|
Object Detection (I8)
|
52% |
242
8.48 IPS |
|
|
Face Detection (F32)
|
100% |
491
5.64 IPS |
|
|
Face Detection (F16)
|
100% |
463
5.31 IPS |
|
|
Face Detection (I8)
|
75% |
431
4.95 IPS |
|
|
Text Classification (F32)
|
100% |
340
134.3 IPS |
|
|
Text Classification (F16)
|
100% |
338
133.6 IPS |
|
|
Machine Translation (F32)
|
100% |
473
73.0 IPS |
|
|
Machine Translation (F16)
|
100% |
478
73.6 IPS |
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