Upload Date | October 14 2021 07:14 AM |
Views | 3 |
System Information | |
---|---|
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 | NNAPI |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
280
30.0 IPS |
|
Image Classification (F16)
|
100% |
377
40.3 IPS |
|
Image Classification (I8)
|
80% |
545
58.4 IPS |
|
Image Segmentation (F32)
|
100% |
415
2.56 IPS |
|
Image Segmentation (F16)
|
100% |
508
3.14 IPS |
|
Image Segmentation (I8)
|
89% |
1472
9.09 IPS |
|
Pose Estimation (F32)
|
100% |
141
0.57 IPS |
|
Pose Estimation (F16)
|
100% |
330
1.33 IPS |
|
Pose Estimation (I8)
|
80% |
2528
10.2 IPS |
|
Object Detection (F32)
|
100% |
251
8.83 IPS |
|
Object Detection (F16)
|
100% |
287
10.1 IPS |
|
Object Detection (I8)
|
52% |
515
18.1 IPS |
|
Face Detection (F32)
|
100% |
338
3.88 IPS |
|
Face Detection (F16)
|
97% |
391
4.49 IPS |
|
Face Detection (I8)
|
75% |
1565
18.0 IPS |
|
Text Classification (F32)
|
54% |
10
3.91 IPS |
|
Text Classification (F16)
|
54% |
10
3.85 IPS |
|
Machine Translation (F32)
|
100% |
205
31.6 IPS |
|
Machine Translation (F16)
|
100% |
192
29.5 IPS |