Xiaomi Redmi Note 9S
Geekbench ML Score
448
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 06 2022 09:12 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Xiaomi Redmi Note 9S |
| Model ID | Xiaomi Redmi Note 9S |
| Motherboard | curtana |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
309
33.1 IPS |
|
|
Image Classification (F16)
|
100% |
557
59.7 IPS |
|
|
Image Classification (I8)
|
80% |
479
51.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
724
4.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
1332
8.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
1170
7.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
357
1.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
678
2.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
674
2.73 IPS |
|
|
Object Detection (F32)
|
100% |
205
7.21 IPS |
|
|
Object Detection (F16)
|
99% |
263
9.22 IPS |
|
|
Object Detection (I8)
|
53% |
227
7.98 IPS |
|
|
Face Detection (F32)
|
100% |
628
7.21 IPS |
|
|
Face Detection (F16)
|
97% |
1072
12.3 IPS |
|
|
Face Detection (I8)
|
76% |
901
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
200
79.1 IPS |
|
|
Text Classification (F16)
|
98% |
265
104.9 IPS |
|
|
Machine Translation (F32)
|
100% |
204
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
198
30.5 IPS |
