Xiaomi 23127PN0CC
Geekbench ML Score
385
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 21 2024 03:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 14.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
278
52.1 IPS |
|
|
Image Classification (F16)
|
100% |
138
25.8 IPS |
|
|
Image Classification (I8)
|
97% |
346
64.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
238
3.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
238
3.98 IPS |
|
|
Image Segmentation (I8)
|
98% |
362
6.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
503
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
232
0.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
888
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
144
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
144
10.8 IPS |
|
|
Object Detection (I8)
|
61% |
810
60.5 IPS |
|
|
Face Detection (F32)
|
100% |
550
6.54 IPS |
|
|
Face Detection (F16)
|
100% |
604
7.18 IPS |
|
|
Face Detection (I8)
|
86% |
1620
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
307
2.38 IPS |
|
|
Depth Estimation (F16)
|
100% |
307
2.38 IPS |
|
|
Depth Estimation (I8)
|
95% |
825
6.39 IPS |
|
|
Style Transfer (F32)
|
100% |
544
0.72 IPS |
|
|
Style Transfer (F16)
|
100% |
988
1.30 IPS |
|
|
Style Transfer (I8)
|
98% |
1745
2.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
152
5.43 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
152
5.44 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
518
18.5 IPS |
|
|
Text Classification (F32)
|
100% |
168
242.0 IPS |
|
|
Text Classification (F16)
|
100% |
168
241.1 IPS |
|
|
Text Classification (I8)
|
92% |
276
396.5 IPS |
|
|
Machine Translation (F32)
|
100% |
666
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
668
12.3 IPS |
|
|
Machine Translation (I8)
|
64% |
475
8.75 IPS |
