Xiaomi Redmi Note 5 Pro
Geekbench ML Score
121
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 09:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | Xiaomi Redmi Note 5 Pro |
| Model ID | Xiaomi Redmi Note 5 Pro |
| Motherboard | sdm636 |
| 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 | 1.61 GHz |
| Cluster 1 | 4 Cores @ 1.61 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.65 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
72
7.71 IPS |
|
|
Image Classification (F16)
|
100% |
70
7.53 IPS |
|
|
Image Classification (I8)
|
81% |
114
12.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
165
1.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
164
1.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
394
2.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
114
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
114
4.01 IPS |
|
|
Object Detection (F16)
|
100% |
119
4.18 IPS |
|
|
Object Detection (I8)
|
52% |
163
5.73 IPS |
|
|
Face Detection (F32)
|
100% |
164
1.88 IPS |
|
|
Face Detection (F16)
|
100% |
161
1.85 IPS |
|
|
Face Detection (I8)
|
75% |
255
2.93 IPS |
|
|
Text Classification (F32)
|
100% |
100
39.7 IPS |
|
|
Text Classification (F16)
|
100% |
101
40.1 IPS |
|
|
Machine Translation (F32)
|
100% |
75
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
76
11.7 IPS |
