Xiaomi Redmi 9
Geekbench ML Score
158
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| User | LinFengJun |
| Upload Date | September 16 2024 12:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi 9 |
| Model ID | Xiaomi M2004J19C |
| Motherboard | lancelot |
| CPU Information | |
|---|---|
| Name | ARM MT6769T |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
119
12.7 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.97 IPS |
|
|
Image Classification (I8)
|
81% |
228
24.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
168
1.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
188
1.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
541
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
99
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
127
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
128
4.48 IPS |
|
|
Object Detection (F16)
|
100% |
139
4.89 IPS |
|
|
Object Detection (I8)
|
52% |
379
13.3 IPS |
|
|
Face Detection (F32)
|
100% |
160
1.83 IPS |
|
|
Face Detection (F16)
|
100% |
154
1.77 IPS |
|
|
Face Detection (I8)
|
75% |
383
4.40 IPS |
|
|
Text Classification (F32)
|
100% |
183
72.4 IPS |
|
|
Text Classification (F16)
|
100% |
183
72.3 IPS |
|
|
Machine Translation (F32)
|
100% |
81
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
83
12.8 IPS |
