Xiaomi 23127PN0CG
Geekbench AI Score
246
Single Precision Score
255
Half Precision Score
546
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DemonShell |
| Upload Date | February 25 2025 04:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
99% |
348
64.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
370
6.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
240
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
915
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
87% |
377
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
410
4.87 IPS |
|
|
Face Detection (HP)
|
100% |
412
4.90 IPS |
|
|
Face Detection (Q)
|
97% |
788
9.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
308
2.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
852
7.73 IPS |
|
|
Style Transfer (SP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
579
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1575
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
181
6.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
214
7.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
497
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.4 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.9 IPS |
|
|
Text Classification (Q)
|
91% |
291
390.9 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (Q)
|
57% |
353
8.64 IPS |
