Xiaomi Redmi Note 9 Pro Max
Geekbench ML Score
224
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 14 2021 07:07 AM |
| Views | 1 |
System Information
| 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 | |
|---|---|
| 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% |
124
13.3 IPS |
|
|
Image Classification (F16)
|
100% |
155
16.6 IPS |
|
|
Image Classification (I8)
|
81% |
175
18.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
330
2.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
329
2.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
570
3.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
144
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
172
6.05 IPS |
|
|
Object Detection (F16)
|
100% |
195
6.86 IPS |
|
|
Object Detection (I8)
|
52% |
252
8.85 IPS |
|
|
Face Detection (F32)
|
100% |
305
3.50 IPS |
|
|
Face Detection (F16)
|
100% |
309
3.55 IPS |
|
|
Face Detection (I8)
|
75% |
404
4.65 IPS |
|
|
Text Classification (F32)
|
100% |
246
97.1 IPS |
|
|
Text Classification (F16)
|
100% |
250
98.9 IPS |
|
|
Machine Translation (F32)
|
100% |
200
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
201
31.0 IPS |
