Xiaomi Redmi Note 7
Geekbench ML Score
112
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 02:34 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 | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
79
8.50 IPS |
|
|
Image Classification (F16)
|
100% |
80
8.52 IPS |
|
|
Image Classification (I8)
|
81% |
97
10.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
164
1.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
168
1.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
330
2.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
56
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
83
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
111
3.89 IPS |
|
|
Object Detection (F16)
|
100% |
98
3.45 IPS |
|
|
Object Detection (I8)
|
52% |
140
4.93 IPS |
|
|
Face Detection (F32)
|
100% |
153
1.76 IPS |
|
|
Face Detection (F16)
|
100% |
158
1.82 IPS |
|
|
Face Detection (I8)
|
75% |
212
2.44 IPS |
|
|
Text Classification (F32)
|
100% |
108
42.6 IPS |
|
|
Text Classification (F16)
|
100% |
107
42.3 IPS |
|
|
Machine Translation (F32)
|
100% |
81
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
80
12.3 IPS |
