Xiaomi 23127PN0CG
Geekbench ML Score
1092
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 26 2024 09:20 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23127PN0CG |
| Model ID | Xiaomi 23127PN0CG |
| 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 | 10.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
524
98.0 IPS |
|
|
Image Classification (F16)
|
100% |
531
99.4 IPS |
|
|
Image Classification (I8)
|
97% |
838
156.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
702
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
708
11.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
691
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1405
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
1407
1.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
5265
6.38 IPS |
|
|
Object Detection (F32)
|
100% |
559
41.8 IPS |
|
|
Object Detection (F16)
|
100% |
557
41.6 IPS |
|
|
Object Detection (I8)
|
61% |
1130
84.4 IPS |
|
|
Face Detection (F32)
|
100% |
1340
15.9 IPS |
|
|
Face Detection (F16)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (I8)
|
86% |
1916
22.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1298
10.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1246
9.66 IPS |
|
|
Depth Estimation (I8)
|
95% |
2035
15.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2470
3.25 IPS |
|
|
Style Transfer (F16)
|
100% |
2444
3.21 IPS |
|
|
Style Transfer (I8)
|
98% |
4982
6.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
874
31.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
818
29.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2092
74.7 IPS |
|
|
Text Classification (F32)
|
100% |
576
827.3 IPS |
|
|
Text Classification (F16)
|
100% |
574
825.2 IPS |
|
|
Text Classification (I8)
|
92% |
409
587.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1320
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1353
24.9 IPS |
|
|
Machine Translation (I8)
|
64% |
399
7.34 IPS |
