Xiaomi Mi 9
Geekbench ML Score
1209
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 16 2024 08:06 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Xiaomi Mi 9 |
| Model ID | Xiaomi MI 9 |
| Motherboard | cepheus |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
789
84.6 IPS |
|
|
Image Classification (F16)
|
100% |
1566
167.8 IPS |
|
|
Image Classification (I8)
|
80% |
1377
147.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1809
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3528
21.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
3406
21.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
905
3.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
1650
6.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
1643
6.65 IPS |
|
|
Object Detection (F32)
|
100% |
866
30.4 IPS |
|
|
Object Detection (F16)
|
99% |
1422
49.9 IPS |
|
|
Object Detection (I8)
|
53% |
1338
47.0 IPS |
|
|
Face Detection (F32)
|
100% |
1549
17.8 IPS |
|
|
Face Detection (F16)
|
97% |
2668
30.7 IPS |
|
|
Face Detection (I8)
|
76% |
2447
28.1 IPS |
|
|
Text Classification (F32)
|
100% |
541
214.0 IPS |
|
|
Text Classification (F16)
|
98% |
583
230.8 IPS |
|
|
Machine Translation (F32)
|
100% |
277
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
279
43.0 IPS |
