Upload Date | September 26 2022 09:27 AM |
Views | 1 |
System Information | |
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Operating System | Android 11 |
Model | Xiaomi Redmi Note 9 Pro Max |
Model ID | Xiaomi Redmi Note 9 Pro Max |
Motherboard | excalibur |
Governor | schedutil |
CPU Information | |
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Name | Qualcomm Qualcomm |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
Base Frequency | 1.80 GHz |
Cluster 1 | 6 Cores @ 1.80 GHz |
Cluster 2 | 2 Cores @ 2.32 GHz |
Memory Information | |
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Size | 5.45 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
162
17.4 IPS |
|
Image Classification (F16)
|
100% |
158
16.9 IPS |
|
Image Classification (I8)
|
81% |
173
18.5 IPS |
|
Image Segmentation (F32)
|
100% |
354
2.19 IPS |
|
Image Segmentation (F16)
|
100% |
352
2.17 IPS |
|
Image Segmentation (I8)
|
89% |
599
3.70 IPS |
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
Pose Estimation (F16)
|
100% |
139
0.56 IPS |
|
Pose Estimation (I8)
|
80% |
147
0.59 IPS |
|
Object Detection (F32)
|
100% |
222
7.77 IPS |
|
Object Detection (F16)
|
100% |
216
7.57 IPS |
|
Object Detection (I8)
|
52% |
267
9.38 IPS |
|
Face Detection (F32)
|
100% |
315
3.62 IPS |
|
Face Detection (F16)
|
100% |
309
3.54 IPS |
|
Face Detection (I8)
|
75% |
402
4.62 IPS |
|
Text Classification (F32)
|
100% |
271
107.1 IPS |
|
Text Classification (F16)
|
100% |
255
100.9 IPS |
|
Machine Translation (F32)
|
100% |
201
30.9 IPS |
|
Machine Translation (F16)
|
100% |
205
31.5 IPS |