Xiaomi 2209129SC
Geekbench ML Score
981
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 01:28 PM |
| Views | 3 |
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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
122
22.7 IPS |
|
|
Image Classification (F16)
|
100% |
2301
430.6 IPS |
|
|
Image Classification (I8)
|
99% |
6291
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
151
2.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2551
42.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
11441
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
845
1.02 IPS |
|
|
Object Detection (F32)
|
100% |
128
9.59 IPS |
|
|
Object Detection (F16)
|
100% |
1488
111.1 IPS |
|
|
Object Detection (I8)
|
55% |
2449
182.9 IPS |
|
|
Face Detection (F32)
|
100% |
310
3.68 IPS |
|
|
Face Detection (F16)
|
98% |
2826
33.6 IPS |
|
|
Face Detection (I8)
|
16% |
18327
217.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
271
2.10 IPS |
|
|
Depth Estimation (F16)
|
100% |
6445
50.0 IPS |
|
|
Depth Estimation (I8)
|
68% |
20593
159.7 IPS |
|
|
Style Transfer (F32)
|
100% |
429
0.56 IPS |
|
|
Style Transfer (F16)
|
100% |
456
0.60 IPS |
|
|
Style Transfer (I8)
|
98% |
4432
5.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
143
5.11 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5495
196.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
16519
589.9 IPS |
|
|
Text Classification (F32)
|
100% |
107
153.5 IPS |
|
|
Text Classification (F16)
|
100% |
164
235.1 IPS |
|
|
Text Classification (I8)
|
94% |
355
510.6 IPS |
|
|
Machine Translation (F32)
|
100% |
257
4.72 IPS |
|
|
Machine Translation (F16)
|
100% |
285
5.24 IPS |
|
|
Machine Translation (I8)
|
64% |
378
6.95 IPS |
