Xiaomi 23127PN0CG
Geekbench AI Score
228
Single Precision Score
12514
Half Precision Score
34753
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DemonShell |
| Upload Date | February 25 2025 04:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
131
24.4 IPS |
|
|
Image Classification (HP)
|
100% |
9065
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
30106
5.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
7370
119.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21721
353.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
37838
44.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
207854
243.3 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
8508
674.9 IPS |
|
|
Object Detection (Q)
|
86% |
13705
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
392
4.66 IPS |
|
|
Face Detection (HP)
|
100% |
19317
229.5 IPS |
|
|
Face Detection (Q)
|
97% |
76699
914.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
308
2.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
35880
276.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
81531
763.4 IPS |
|
|
Style Transfer (SP)
|
100% |
567
0.73 IPS |
|
|
Style Transfer (HP)
|
98% |
49980
64.4 IPS |
|
|
Style Transfer (Q)
|
98% |
278394
359.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
147
5.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22257
821.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
75511
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
178
237.6 IPS |
|
|
Text Classification (HP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5352
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1961
51.4 IPS |
