Xiaomi 12S Pro
Geekbench ML Score
536
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 10 2025 04:49 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 12S Pro |
| Model ID | Xiaomi 2206122SC |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
334
62.4 IPS |
|
|
Image Classification (F16)
|
100% |
214
40.1 IPS |
|
|
Image Classification (I8)
|
97% |
400
74.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
378
6.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
388
6.48 IPS |
|
|
Image Segmentation (I8)
|
98% |
433
7.23 IPS |
|
|
Pose Estimation (F32)
|
100% |
789
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
800
0.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
2224
2.69 IPS |
|
|
Object Detection (F32)
|
100% |
252
18.8 IPS |
|
|
Object Detection (F16)
|
100% |
272
20.3 IPS |
|
|
Object Detection (I8)
|
61% |
467
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
472
5.61 IPS |
|
|
Face Detection (F16)
|
100% |
632
7.51 IPS |
|
|
Face Detection (I8)
|
86% |
959
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
533
4.14 IPS |
|
|
Depth Estimation (F16)
|
100% |
707
5.48 IPS |
|
|
Depth Estimation (I8)
|
95% |
1226
9.51 IPS |
|
|
Style Transfer (F32)
|
100% |
1453
1.91 IPS |
|
|
Style Transfer (F16)
|
100% |
1251
1.65 IPS |
|
|
Style Transfer (I8)
|
98% |
2589
3.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
410
14.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
403
14.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1079
38.5 IPS |
|
|
Text Classification (F32)
|
100% |
353
507.6 IPS |
|
|
Text Classification (F16)
|
100% |
369
530.7 IPS |
|
|
Text Classification (I8)
|
92% |
57
81.3 IPS |
|
|
Machine Translation (F32)
|
100% |
633
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
657
12.1 IPS |
|
|
Machine Translation (I8)
|
64% |
273
5.02 IPS |
