Xiaomi 23127PN0CC
Geekbench AI Score
212
Single Precision Score
212
Half Precision Score
474
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | HowieZhang |
| Upload Date | August 16 2024 04:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23127PN0CC |
| Model ID | Xiaomi 23127PN0CC |
| 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 | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
97% |
301
56.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
320
5.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
789
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.54 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.57 IPS |
|
|
Object Detection (Q)
|
89% |
330
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
692
8.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
289
2.23 IPS |
|
|
Depth Estimation (HP)
|
100% |
289
2.23 IPS |
|
|
Depth Estimation (Q)
|
73% |
711
5.81 IPS |
|
|
Style Transfer (SP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
519
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1528
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
5.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
5.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.5 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.8 IPS |
|
|
Text Classification (Q)
|
91% |
270
363.1 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.26 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.00 IPS |
