Xiaomi 2209129SC
Geekbench ML Score
473
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 11 2024 02:51 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
245
45.9 IPS |
|
|
Image Classification (F16)
|
100% |
246
46.0 IPS |
|
|
Image Classification (I8)
|
97% |
357
66.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
292
4.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
288
4.80 IPS |
|
|
Image Segmentation (I8)
|
98% |
383
6.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
591
0.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
583
0.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
2386
2.89 IPS |
|
|
Object Detection (F32)
|
100% |
216
16.1 IPS |
|
|
Object Detection (F16)
|
100% |
239
17.8 IPS |
|
|
Object Detection (I8)
|
61% |
575
42.9 IPS |
|
|
Face Detection (F32)
|
100% |
483
5.74 IPS |
|
|
Face Detection (F16)
|
100% |
483
5.74 IPS |
|
|
Face Detection (I8)
|
86% |
862
10.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
495
3.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
499
3.87 IPS |
|
|
Depth Estimation (I8)
|
95% |
1069
8.29 IPS |
|
|
Style Transfer (F32)
|
100% |
923
1.21 IPS |
|
|
Style Transfer (F16)
|
100% |
913
1.20 IPS |
|
|
Style Transfer (I8)
|
98% |
2446
3.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
326
11.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
310
11.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
916
32.7 IPS |
|
|
Text Classification (F32)
|
100% |
315
452.3 IPS |
|
|
Text Classification (F16)
|
100% |
323
464.0 IPS |
|
|
Text Classification (I8)
|
92% |
227
326.5 IPS |
|
|
Machine Translation (F32)
|
100% |
444
8.17 IPS |
|
|
Machine Translation (F16)
|
100% |
444
8.17 IPS |
|
|
Machine Translation (I8)
|
64% |
239
4.40 IPS |
