Xiaomi Mi 9
Geekbench ML Score
325
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 15 2022 09:57 AM |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
214
22.9 IPS |
|
|
Image Classification (F16)
|
100% |
288
30.9 IPS |
|
|
Image Classification (I8)
|
81% |
179
19.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
475
2.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
483
2.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
767
4.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
229
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
225
0.91 IPS |
|
|
Pose Estimation (I8)
|
80% |
216
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
344
12.1 IPS |
|
|
Object Detection (F16)
|
100% |
354
12.4 IPS |
|
|
Object Detection (I8)
|
52% |
286
10.0 IPS |
|
|
Face Detection (F32)
|
100% |
542
6.23 IPS |
|
|
Face Detection (F16)
|
100% |
511
5.87 IPS |
|
|
Face Detection (I8)
|
75% |
451
5.18 IPS |
|
|
Text Classification (F32)
|
100% |
277
109.7 IPS |
|
|
Text Classification (F16)
|
100% |
280
110.8 IPS |
|
|
Machine Translation (F32)
|
100% |
277
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
275
42.4 IPS |
