Xiaomi Redmi Note 8 Pro
Geekbench ML Score
225
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 17 2025 07:08 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Xiaomi Redmi Note 8 Pro |
| Model ID | Xiaomi Redmi Note 8 Pro |
| Motherboard | begonia |
| CPU Information | |
|---|---|
| Name | ARM MT6785V/CC |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
178
19.1 IPS |
|
|
Image Classification (F16)
|
100% |
141
15.1 IPS |
|
|
Image Classification (I8)
|
81% |
192
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
301
1.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
290
1.79 IPS |
|
|
Image Segmentation (I8)
|
89% |
552
3.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
133
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
132
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
191
6.69 IPS |
|
|
Object Detection (F16)
|
100% |
88
3.10 IPS |
|
|
Object Detection (I8)
|
52% |
300
10.5 IPS |
|
|
Face Detection (F32)
|
100% |
312
3.59 IPS |
|
|
Face Detection (F16)
|
100% |
255
2.93 IPS |
|
|
Face Detection (I8)
|
75% |
370
4.25 IPS |
|
|
Text Classification (F32)
|
100% |
377
149.2 IPS |
|
|
Text Classification (F16)
|
100% |
370
146.4 IPS |
|
|
Machine Translation (F32)
|
100% |
211
32.5 IPS |
|
|
Machine Translation (F16)
|
100% |
212
32.7 IPS |
