Xiaomi Redmi 9
Geekbench ML Score
346
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| User | LinFengJun |
| Upload Date | August 18 2024 02:22 AM |
| 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 | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
172
32.2 IPS |
|
|
Image Classification (F16)
|
100% |
178
33.3 IPS |
|
|
Image Classification (I8)
|
97% |
391
73.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
229
3.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
226
3.78 IPS |
|
|
Image Segmentation (I8)
|
98% |
297
4.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
300
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
304
0.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
1438
1.74 IPS |
|
|
Object Detection (F32)
|
100% |
195
14.5 IPS |
|
|
Object Detection (F16)
|
100% |
182
13.6 IPS |
|
|
Object Detection (I8)
|
61% |
440
32.8 IPS |
|
|
Face Detection (F32)
|
100% |
368
4.37 IPS |
|
|
Face Detection (F16)
|
100% |
363
4.31 IPS |
|
|
Face Detection (I8)
|
86% |
806
9.58 IPS |
|
|
Depth Estimation (F32)
|
100% |
384
2.98 IPS |
|
|
Depth Estimation (F16)
|
100% |
314
2.43 IPS |
|
|
Depth Estimation (I8)
|
95% |
822
6.37 IPS |
|
|
Style Transfer (F32)
|
100% |
503
0.66 IPS |
|
|
Style Transfer (F16)
|
100% |
501
0.66 IPS |
|
|
Style Transfer (I8)
|
98% |
1419
1.87 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
224
7.99 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
228
8.15 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
635
22.7 IPS |
|
|
Text Classification (F32)
|
100% |
225
323.6 IPS |
|
|
Text Classification (F16)
|
100% |
270
388.3 IPS |
|
|
Text Classification (I8)
|
92% |
219
314.9 IPS |
|
|
Machine Translation (F32)
|
100% |
345
6.35 IPS |
|
|
Machine Translation (F16)
|
100% |
359
6.60 IPS |
|
|
Machine Translation (I8)
|
64% |
200
3.68 IPS |
