Xiaomi 23127PN0CC
Geekbench ML Score
895
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 04:34 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23127PN0CC |
| Model ID | Xiaomi 23127PN0CC |
| Motherboard | houji |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.80 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
447
83.7 IPS |
|
|
Image Classification (F16)
|
100% |
522
97.6 IPS |
|
|
Image Classification (I8)
|
97% |
674
126.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
533
8.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
563
9.40 IPS |
|
|
Image Segmentation (I8)
|
98% |
562
9.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
1158
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
1173
1.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
4303
5.21 IPS |
|
|
Object Detection (F32)
|
100% |
467
34.8 IPS |
|
|
Object Detection (F16)
|
100% |
473
35.3 IPS |
|
|
Object Detection (I8)
|
61% |
800
59.7 IPS |
|
|
Face Detection (F32)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (F16)
|
100% |
1083
12.9 IPS |
|
|
Face Detection (I8)
|
86% |
1630
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1082
8.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
1014
7.86 IPS |
|
|
Depth Estimation (I8)
|
95% |
1570
12.2 IPS |
|
|
Style Transfer (F32)
|
100% |
2111
2.78 IPS |
|
|
Style Transfer (F16)
|
100% |
2151
2.83 IPS |
|
|
Style Transfer (I8)
|
98% |
4454
5.86 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
711
25.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
691
24.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1681
60.0 IPS |
|
|
Text Classification (F32)
|
100% |
461
662.0 IPS |
|
|
Text Classification (F16)
|
100% |
422
607.1 IPS |
|
|
Text Classification (I8)
|
92% |
343
492.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1019
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
987
18.2 IPS |
|
|
Machine Translation (I8)
|
64% |
360
6.63 IPS |
