Xiaomi Redmi Note 9 Pro
Geekbench ML Score
215
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2021 04:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Xiaomi Redmi Note 9 Pro |
| Model ID | Xiaomi Redmi Note 9 Pro |
| Motherboard | joyeuse |
| Governor | schedutil |
| CPU Information | |
|---|---|
| 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 | |
|---|---|
| Size | 5.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
115
12.3 IPS |
|
|
Image Classification (F16)
|
100% |
118
12.6 IPS |
|
|
Image Classification (I8)
|
81% |
176
18.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
321
1.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
327
2.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
576
3.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
146
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
146
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
147
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
148
5.19 IPS |
|
|
Object Detection (F16)
|
100% |
150
5.27 IPS |
|
|
Object Detection (I8)
|
52% |
251
8.81 IPS |
|
|
Face Detection (F32)
|
100% |
290
3.34 IPS |
|
|
Face Detection (F16)
|
100% |
294
3.38 IPS |
|
|
Face Detection (I8)
|
75% |
399
4.58 IPS |
|
|
Text Classification (F32)
|
100% |
245
96.7 IPS |
|
|
Text Classification (F16)
|
100% |
245
97.0 IPS |
|
|
Machine Translation (F32)
|
100% |
206
31.7 IPS |
|
|
Machine Translation (F16)
|
100% |
207
31.9 IPS |
