Xiaomi Redmi Note 8T
Geekbench ML Score
201
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2023 10:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Xiaomi Redmi Note 8T |
| Model ID | Xiaomi Redmi Note 8T |
| Motherboard | willow |
| 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% |
124
13.3 IPS |
|
|
Image Classification (F16)
|
100% |
234
25.0 IPS |
|
|
Image Classification (I8)
|
80% |
209
22.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
273
1.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
528
3.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
481
2.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
230
0.93 IPS |
|
|
Pose Estimation (I8)
|
80% |
229
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
123
4.30 IPS |
|
|
Object Detection (F16)
|
99% |
192
6.73 IPS |
|
|
Object Detection (I8)
|
53% |
158
5.54 IPS |
|
|
Face Detection (F32)
|
100% |
268
3.07 IPS |
|
|
Face Detection (F16)
|
97% |
451
5.18 IPS |
|
|
Face Detection (I8)
|
76% |
425
4.88 IPS |
|
|
Text Classification (F32)
|
100% |
121
47.9 IPS |
|
|
Text Classification (F16)
|
98% |
201
79.7 IPS |
|
|
Machine Translation (F32)
|
100% |
73
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
68
10.4 IPS |
