Xiaomi 2209129SC
Geekbench ML Score
367
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 11 2024 03:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2209129SC |
| Model ID | Xiaomi 2209129SC |
| Motherboard | ziyi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3399 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.36 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.07 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
228
42.6 IPS |
|
|
Image Classification (F16)
|
100% |
301
56.4 IPS |
|
|
Image Classification (I8)
|
97% |
279
52.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
354
5.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
435
7.27 IPS |
|
|
Image Segmentation (I8)
|
98% |
424
7.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
374
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
182
0.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
183
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
164
12.2 IPS |
|
|
Object Detection (F16)
|
100% |
223
16.7 IPS |
|
|
Object Detection (I8)
|
62% |
210
15.7 IPS |
|
|
Face Detection (F32)
|
100% |
621
7.38 IPS |
|
|
Face Detection (F16)
|
97% |
806
9.58 IPS |
|
|
Face Detection (I8)
|
87% |
739
8.78 IPS |
|
|
Depth Estimation (F32)
|
100% |
511
3.96 IPS |
|
|
Depth Estimation (F16)
|
100% |
682
5.29 IPS |
|
|
Depth Estimation (I8)
|
95% |
729
5.65 IPS |
|
|
Style Transfer (F32)
|
100% |
1061
1.40 IPS |
|
|
Style Transfer (F16)
|
100% |
1803
2.37 IPS |
|
|
Style Transfer (I8)
|
98% |
1885
2.48 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
254
9.09 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
247
8.82 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
230
8.22 IPS |
|
|
Text Classification (F32)
|
100% |
148
213.4 IPS |
|
|
Text Classification (F16)
|
100% |
149
214.1 IPS |
|
|
Text Classification (I8)
|
92% |
289
415.6 IPS |
|
|
Machine Translation (F32)
|
100% |
264
4.85 IPS |
|
|
Machine Translation (F16)
|
100% |
265
4.87 IPS |
|
|
Machine Translation (I8)
|
64% |
349
6.42 IPS |
