Xiaomi Redmi Note 8
Geekbench ML Score
205
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2022 06:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Xiaomi Redmi Note 8 |
| Model ID | Xiaomi Redmi Note 8 |
| Motherboard | ginkgo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.55 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
126
13.5 IPS |
|
|
Image Classification (F16)
|
100% |
236
25.3 IPS |
|
|
Image Classification (I8)
|
80% |
209
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
273
1.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
535
3.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
489
3.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
124
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
224
0.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
223
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
108
3.79 IPS |
|
|
Object Detection (F16)
|
99% |
169
5.93 IPS |
|
|
Object Detection (I8)
|
53% |
171
6.00 IPS |
|
|
Face Detection (F32)
|
100% |
272
3.12 IPS |
|
|
Face Detection (F16)
|
97% |
459
5.28 IPS |
|
|
Face Detection (I8)
|
76% |
424
4.88 IPS |
|
|
Text Classification (F32)
|
100% |
125
49.5 IPS |
|
|
Text Classification (F16)
|
98% |
178
70.5 IPS |
|
|
Machine Translation (F32)
|
100% |
94
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
96
14.8 IPS |
