Xiaomi Redmi Note 8 Pro
Geekbench ML Score
152
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2021 10:21 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | Xiaomi Redmi Note 8 Pro |
| Model ID | Xiaomi Redmi Note 8 Pro |
| Motherboard | begoniain |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
97% |
223
23.9 IPS |
|
|
Image Classification (F16)
|
87% |
361
38.7 IPS |
|
|
Image Classification (I8)
|
81% |
175
18.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
119
0.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
124
0.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
280
1.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
44
0.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
45
0.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
178
6.25 IPS |
|
|
Object Detection (F16)
|
99% |
281
9.87 IPS |
|
|
Object Detection (I8)
|
52% |
448
15.7 IPS |
|
|
Face Detection (F32)
|
100% |
196
2.25 IPS |
|
|
Face Detection (F16)
|
99% |
300
3.44 IPS |
|
|
Face Detection (I8)
|
75% |
256
2.94 IPS |
|
|
Text Classification (F32)
|
100% |
39
15.3 IPS |
|
|
Text Classification (F16)
|
100% |
31
12.4 IPS |
|
|
Machine Translation (F32)
|
100% |
219
33.7 IPS |
|
|
Machine Translation (F16)
|
100% |
219
33.8 IPS |
