Xiaomi 2209129SC
Geekbench ML Score
453
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 01:01 PM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
240
45.0 IPS |
|
|
Image Classification (F16)
|
100% |
241
45.2 IPS |
|
|
Image Classification (I8)
|
97% |
331
62.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
291
4.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
302
5.04 IPS |
|
|
Image Segmentation (I8)
|
98% |
384
6.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
558
0.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
580
0.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
2375
2.88 IPS |
|
|
Object Detection (F32)
|
100% |
227
17.0 IPS |
|
|
Object Detection (F16)
|
100% |
243
18.1 IPS |
|
|
Object Detection (I8)
|
61% |
402
30.0 IPS |
|
|
Face Detection (F32)
|
100% |
478
5.69 IPS |
|
|
Face Detection (F16)
|
100% |
478
5.68 IPS |
|
|
Face Detection (I8)
|
86% |
869
10.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
501
3.88 IPS |
|
|
Depth Estimation (F16)
|
100% |
492
3.82 IPS |
|
|
Depth Estimation (I8)
|
95% |
1016
7.88 IPS |
|
|
Style Transfer (F32)
|
100% |
908
1.19 IPS |
|
|
Style Transfer (F16)
|
100% |
872
1.15 IPS |
|
|
Style Transfer (I8)
|
98% |
2237
2.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
307
11.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
288
10.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
874
31.2 IPS |
|
|
Text Classification (F32)
|
100% |
269
386.7 IPS |
|
|
Text Classification (F16)
|
100% |
269
386.4 IPS |
|
|
Text Classification (I8)
|
92% |
212
304.6 IPS |
|
|
Machine Translation (F32)
|
100% |
438
8.07 IPS |
|
|
Machine Translation (F16)
|
100% |
437
8.04 IPS |
|
|
Machine Translation (I8)
|
64% |
222
4.09 IPS |
