Xiaomi Redmi Note 7
Geekbench ML Score
99
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2022 05:11 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Xiaomi Redmi Note 7 |
| Model ID | Xiaomi Redmi Note 7 |
| Motherboard | sdm660 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.65 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
47
5.07 IPS |
|
|
Image Classification (F16)
|
100% |
50
5.31 IPS |
|
|
Image Classification (I8)
|
81% |
123
13.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
140
0.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
0.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
213
1.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
68
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
64
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
39
0.16 IPS |
|
|
Object Detection (F32)
|
100% |
75
2.63 IPS |
|
|
Object Detection (F16)
|
100% |
67
2.35 IPS |
|
|
Object Detection (I8)
|
52% |
153
5.38 IPS |
|
|
Face Detection (F32)
|
100% |
133
1.53 IPS |
|
|
Face Detection (F16)
|
100% |
116
1.34 IPS |
|
|
Face Detection (I8)
|
75% |
166
1.90 IPS |
|
|
Text Classification (F32)
|
100% |
162
64.1 IPS |
|
|
Text Classification (F16)
|
100% |
163
64.5 IPS |
|
|
Machine Translation (F32)
|
100% |
90
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
93
14.3 IPS |
