Xiaomi 23127PN0CG
Geekbench ML Score
1029
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 07 2025 07:33 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
737
137.8 IPS |
|
|
Image Classification (F16)
|
100% |
586
109.6 IPS |
|
|
Image Classification (I8)
|
99% |
564
105.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
819
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1281
21.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1321
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
985
1.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
2078
2.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
2074
2.51 IPS |
|
|
Object Detection (F32)
|
100% |
539
40.2 IPS |
|
|
Object Detection (F16)
|
100% |
525
39.2 IPS |
|
|
Object Detection (I8)
|
62% |
534
39.9 IPS |
|
|
Face Detection (F32)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (F16)
|
97% |
3320
39.5 IPS |
|
|
Face Detection (I8)
|
86% |
2672
31.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1595
12.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3241
25.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3246
25.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4669
6.14 IPS |
|
|
Style Transfer (F16)
|
100% |
6993
9.20 IPS |
|
|
Style Transfer (I8)
|
98% |
9123
12.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
357
12.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1046
37.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1274
45.5 IPS |
|
|
Text Classification (F32)
|
100% |
154
220.9 IPS |
|
|
Text Classification (F16)
|
100% |
157
225.0 IPS |
|
|
Text Classification (I8)
|
92% |
254
364.5 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.76 IPS |
|
|
Machine Translation (F16)
|
100% |
320
5.89 IPS |
|
|
Machine Translation (I8)
|
64% |
364
6.69 IPS |
