Xiaomi 2209129SC
Geekbench ML Score
376
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 01:06 PM |
| Views | 2 |
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% |
225
42.0 IPS |
|
|
Image Classification (F16)
|
100% |
321
60.1 IPS |
|
|
Image Classification (I8)
|
97% |
286
53.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
365
6.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
469
7.84 IPS |
|
|
Image Segmentation (I8)
|
98% |
460
7.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
375
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
184
0.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
185
0.22 IPS |
|
|
Object Detection (F32)
|
100% |
171
12.8 IPS |
|
|
Object Detection (F16)
|
100% |
222
16.5 IPS |
|
|
Object Detection (I8)
|
62% |
198
14.8 IPS |
|
|
Face Detection (F32)
|
100% |
645
7.67 IPS |
|
|
Face Detection (F16)
|
97% |
988
11.7 IPS |
|
|
Face Detection (I8)
|
87% |
765
9.09 IPS |
|
|
Depth Estimation (F32)
|
100% |
510
3.95 IPS |
|
|
Depth Estimation (F16)
|
100% |
731
5.67 IPS |
|
|
Depth Estimation (I8)
|
95% |
737
5.72 IPS |
|
|
Style Transfer (F32)
|
100% |
1052
1.38 IPS |
|
|
Style Transfer (F16)
|
100% |
1874
2.47 IPS |
|
|
Style Transfer (I8)
|
98% |
2013
2.65 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
254
9.08 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
242
8.64 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
235
8.41 IPS |
|
|
Text Classification (F32)
|
100% |
149
214.3 IPS |
|
|
Text Classification (F16)
|
100% |
149
214.8 IPS |
|
|
Text Classification (I8)
|
92% |
289
415.2 IPS |
|
|
Machine Translation (F32)
|
100% |
264
4.86 IPS |
|
|
Machine Translation (F16)
|
100% |
265
4.88 IPS |
|
|
Machine Translation (I8)
|
64% |
347
6.39 IPS |
