Xiaomi Redmi Note 8 Pro
Geekbench ML Score
395
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 09:11 PM |
| Views | 2 |
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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
321
34.4 IPS |
|
|
Image Classification (F16)
|
100% |
523
56.0 IPS |
|
|
Image Classification (I8)
|
81% |
1054
112.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
334
2.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
401
2.48 IPS |
|
|
Image Segmentation (I8)
|
77% |
1834
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
393
1.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
775
3.13 IPS |
|
|
Object Detection (F32)
|
100% |
330
11.6 IPS |
|
|
Object Detection (F16)
|
99% |
481
16.9 IPS |
|
|
Object Detection (I8)
|
53% |
607
21.3 IPS |
|
|
Face Detection (F32)
|
25% |
121
1.39 IPS |
|
|
Face Detection (F16)
|
24% |
394
4.53 IPS |
|
|
Face Detection (I8)
|
75% |
1317
15.1 IPS |
|
|
Text Classification (F32)
|
100% |
158
62.7 IPS |
|
|
Text Classification (F16)
|
100% |
162
64.2 IPS |
|
|
Machine Translation (F32)
|
100% |
208
32.0 IPS |
|
|
Machine Translation (F16)
|
100% |
211
32.5 IPS |
