Xiaomi 23127PN0CG
Geekbench AI Score
2016
Single Precision Score
2042
Half Precision Score
2970
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 10:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
1654
307.7 IPS |
|
|
Image Classification (Q)
|
100% |
2656
493.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3071
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3944
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3545
4.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
7424
8.81 IPS |
|
|
Object Detection (SP)
|
98% |
1471
117.1 IPS |
|
|
Object Detection (HP)
|
98% |
1466
116.6 IPS |
|
|
Object Detection (Q)
|
83% |
2111
170.5 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (Q)
|
95% |
4879
58.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3262
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3313
25.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5262
48.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8193
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8135
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
10920
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1158
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3698
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
663
884.6 IPS |
|
|
Text Classification (HP)
|
99% |
659
879.0 IPS |
|
|
Text Classification (Q)
|
88% |
1010
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
400
14.2 IPS |
